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Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that can affect multiple organs and body systems. Objective: To describe the sociodemographic, clinical, and biochemical characteristics of the Lupus-IMMS-Mexico (LUPUS-IMMex) patient cohort from a tertiary-level center. Material and methods: Observational descriptive study of 160 patients with diagnosis of SLE belonging to the aforementioned cohort. Various variables were analyzed at the time of diagnosis. For quantitative variables, normality tests were applied, followed by measures of central tendency and dispersion according to their distribution. For categorical variables, frequencies and percentages were calculated. Results: 81.87% of the patients were female, with a median age at diagnosis of 28 years. 18.12% had a family history of SLE, and concurrently with SLE, 32.50% had hypertension, and 11.25% had antiphospholipid syndrome. The most common clinical manifestation was joint involvement (68.12%), renal (49.37%) and hematological (43.75%) manifestations. Conclusions: SLE affects millions globally. Lack of awareness leads to delayed diagnoses, suboptimal management, and diminished quality of life. After analyzing 160 patients with SLE, their clinical, socioeconomic, and therapeutic characteristics are largely like other cohorts, with differences attributable to ethnic and geographical influences. Informing patients about SLE and providing reliable resources are essential for self-care. Awareness promotes research, therapies, and enhances medical care and the lives of patients globally.

Introducción: el lupus eritematoso sistémico (LES) es una enfermedad autoinmunitaria crónica que puede afectar a múltiples órganos y sistemas del cuerpo. Objetivo: describir las características sociodemográficas, clínicas y bioquímicas de la cohorte de pacientes Lupus-IMMS-México (LUPUS-IMMex) de un hospital de tercer nivel. Material y métodos: estudio descriptivo observacional de 160 pacientes con diagnóstico de LES de la cohorte mencionada. Se analizaron diversas variables al momento del diagnóstico. Para variables cuantitativas se aplicaron pruebas de normalidad y posteriormente medidas de tendencia central y dispersión de acuerdo con su distribución. Para variables categóricas se calcularon frecuencias y porcentajes. Resultados: 81.87% de los pacientes fueron del sexo femenino, con mediana de edad al diagnóstico de 28 años. El 18.12% tenían antecedentes familiares de LES y concomitante al LES, hipertensión (32.50%) y síndromes antifosfolípidos (11.25%). Las afecciones clínicas más frecuentes fueron la articular (68.12%), la renal (49.37%) y la hematológica (43.75%). Conclusiones: el LES afecta a millones de personas globalmente. La falta de conciencia lleva a diagnósticos tardíos, manejo deficiente y baja calidad de vida. Tras analizar 160 pacientes con LES, sus características clínicas, socioeconómicas y terapéuticas son mayormente similares a otras cohortes, con diferencias atribuibles a influencias étnicas y geográficas. Informar a los pacientes sobre el LES y brindar recursos confiables es esencial para el autocuidado. La sensibilización fomenta la investigación, las terapias y mejora la atención médica y la vida de pacientes a nivel global.

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INTRODUCTION: As part of the International Society of Aesthetic Plastic Surgery, we present an analysis of our global aesthetic statistics, fulfilling the role of a worldwide organization of plastic surgeons with a clear mission to disseminate aesthetic education worldwide, promote patient safety, protect high ethical standards, and communicate. MATERIAL AND METHODS: A retrospective analysis of the ISAPS Global Aesthetic Statistics was conducted annually from 2010 to 2023. The design and analysis of each survey was carefully developed and validated by Industry Insights, Inc. prior to distribution. Participants were recruited using an anonymous online questionnaire that focused primarily on the number of surgical and nonsurgical procedures performed in the previous year, as well as questions related to surgeon demographics and the prevalence of medical tourism. ISAPS invited all physicians in their data base who were board-certified plastic surgeons or equivalent and suggested National Societies to encourage their members to participate. RESULTS: The latest survey reported a global increase in 3.4%, including 34.9 million surgical and nonsurgical aesthetic procedures performed by plastic surgeons in 2023. More than 15.8 million surgical procedures and more than 19.1 million nonsurgical procedures were performed worldwide. During the past decade, a steady increase in aesthetic procedures has been observed, which has been more pronounced since 2021. In the last 4 years, the overall increase in procedures was 40%. SURGICAL PROCEDURES: The top five surgical procedures were liposuction, breast augmentation, eyelid surgery, abdominoplasty, and rhinoplasty. This trend has been stable for 14 years, with the exception of 2022, when breast lift surgery temporarily replaced rhinoplasty. FACE AND HEAD PROCEDURES: These procedures continue to be the most popular. This group included brow lift, ear surgery, eyelid surgery, facelift, facial bone contouring, facial fat grafting, lip augmentation or frontal surgery, neck lift, and rhinoplasty. BODY AND EXTREMITIES PROCEDURES: This group included abdominoplasty, buttock augmentation, buttock lift, liposuction, lower body lift, thigh lift, arm lift, upper body lift, labiaplasty, and vaginal rejuvenation. Over the past 14 years, body and extremity procedures have increased, with more than 5.1 million procedures in 2023 compared to 2.6 million in 2009. NONSURGICAL PROCEDURES: The five most popular nonsurgical procedures are botulinum toxin, hyaluronic acid, hair removal, chemical peels, and nonsurgical fat reduction. In 2022, chemical peels will replace nonsurgical skin tightening in the top five. MALE AESTHETIC SURGERY: Procedures performed on men continue to grow, with minimally invasive procedures dominating. The most recent survey reported that they represented 14.5% of the total. The top five surgical procedures were eyelid surgery, gynecomastia, liposuction, rhinoplasty, and facial fat grafting. The most popular nonsurgical procedures for men were botulinum toxin, hyaluronic acid, hair removal, nonsurgical skin tightening, and nonsurgical fat reduction. This trend has held steady for more than a decade. DISCUSSION: This study analyzes the most recent data and experience of board-certified aesthetic plastic surgeons in surgical and nonsurgical procedures worldwide over 14 years and provides insight into future trends. More than 60 years have passed since the introduction of liposuction, being one of the most performed aesthetic procedures worldwide over the past 14 years and currently number one procedure performed by plastic surgeons. New trends and technologies have evolved over the years, however, plastic surgeons must be cautious, as history has shown that risks increase when new technologies are introduced. With the popularity of liposuction, other body contouring procedures began to gain interest, and in 2015, gluteal lipoinjections were added to the ISAPS global aesthetic statistics and with them complications arise. In 2018 and 2019, the major patient safety societies, ISAPS, ASERF, ASPS, and ASAPS, began a systematic educational campaign to inform their members about the inherent risks of performing gluteal fat transfer surgery and what techniques or equipment can be used to minimize risks. Another procedure added to the ISAPS statistics in 2010 was vaginal aesthetic surgery. With the new trend of vaginal aesthetics, many believed that they were just changing the appearance of the area, but today it is clear that they are here for much more, to truly empower women with their sexuality. Breast augmentation showed a decline for the first-time last year. However, breast augmentation and liposuction have been the most performed procedures by plastic surgeons worldwide for more than a decade. On the other hand, implant removal has been the fastest growing procedure since 2015, with an overall increase in 46.3% over the past 5 years. In relation to male aesthetic surgery, the number of men undergoing aesthetic procedures has remained stable in recent years at around 14%. Male aesthetics is certainly a growing trend, and our practices should be more inclusive. Another prominent field is regenerative medicine. In relation to plastic surgery, regenerative surgery strategies often involve adipose tissue with stem cells and preadipocytes, alone or in combination with scaffolds. In terms of prevention, regenerative medicine aims to improve the quality of the skin by improving our outcomes and would make it possible to avoid the need for facelifts in the future. Finally, given the increasing popularity of medical procedures abroad ("medical tourism") and the fact that safety regulations and guidelines vary widely from place to place, we encourage patients to choose a board-certified, specialized, trained and experienced plastic surgeon for their procedure and an accredited surgical facility to ensure the procedure in done under the highest patient safety standards. CONCLUSIONS: Despite the obvious cultural and social differences from country to country that make certain procedures more desirable in some geographic areas and less so in other parts of the world, the results of this study show a significant overall increase in all surgical and nonsurgical procedures aimed at improving the aesthetic appearance of the body during14 years. As plastic surgeons, we are open to new possibilities in aesthetic procedures and are responsible for patient safety protocols and procedures. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

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Epidemiological studies are essential in medicine and public health as they help identify risk factors and causes of diseases. Additionally, they are key to planning, implementing, and evaluating health interventions aimed at preventing and controlling the spread of diseases. Among these studies, analytical observational studies, such as cross-sectional, case-control, and cohort studies, are the most used. The validity of their results largely depends on the robustness of the design, execution, and statistical analysis. Objective: The objective of this study is to examine the most common errors in the selection of methodological design and statistical tests in analytical observational studies and to provide recommendations to correct them. Methodology: A comprehensive review of the available literature on methodology in epidemiological observational studies was conducted, focusing on cross-sectional, case-control, and cohort studies. Common errors in the selection of designs and statistical tests were identified and analyzed. Results and Conclusions: Errors in the selection of methodological design and statistical tests are common in epidemiological observational studies. Based on the identified errors, a series of recommendations is provided to improve the selection of methodological design and statistical tests, thereby increasing the reliability of the results in cross-sectional, case-control, and cohort studies.

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The present article aims to describe the different steps on how to design, develop and conduct quantitative and qualitative Spirituality and Health (S/H) studies from a Brazilian perspective, discussing definitions and instruments, and proposing a "how-to guide" for those interested in this field of research. A narrative review of the literature has been conducted by experts in the field of S/H aiming to develop a "how-to-guide". Spirituality is a very complex concept that has several challenges in the current scientific literature, including the lack of consensus in the definitions, the numerous dimensions assessed, the diverse instruments for measurement, the criticisms from other scholars, the great diversity of religious and cultural traditions and the growing number of "spiritual but not religious" individuals. This review supports that S/H studies may follow the high scientific standards, using consolidated research procedures and solid methods for both qualitative and quantitative research. Some peculiarities of the research methods for this field are discussed. S/H research is still under development, and there are several future directions for S/H studies, aiming to minimize previous criticisms and generating stronger evidence.

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Composite end points are common primary outcomes in clinical trials. Their main benefit of utilizing a composite outcome is increasing the number of primary outcome events, meaning fewer participants are required to deliver an adequately powered trial. By combining multiple important end points in the primary outcome rather than having to select only 1, composite end points potentially make clinically meaningful benefits easier to detect and avoid ranking outcomes hierarchically. However, there are a number of important considerations when designing and interpreting clinical trials that utilize composite end points. In this Statistical Primer, issues with composite end points such as competing events, halo effect, risk of bias, time-to-event limitations and the win ratio are discussed in the context of real world clinical trials.

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We introduce a model that can be used for the description of the distribution of species when there is scarcity of data, based on our previous work (Ballesteros et al. J Math Biol 85(4):31, 2022). We address challenges in modeling species that are seldom observed in nature, for example species included in The International Union for Conservation of Nature's Red List of Threatened Species (IUCN 2023). We introduce a general method and test it using a case study of a near threatened species of amphibians called Plectrohyla Guatemalensis (see IUCN 2023) in a region of the UNESCO natural reserve "Tacaná Volcano", in the border between Mexico and Guatemala. Since threatened species are difficult to find in nature, collected data can be extremely reduced. This produces a mathematical problem in the sense that the usual modeling in terms of Markov random fields representing individuals associated to locations in a grid generates artificial clusters around the observations, which are unreasonable. We propose a different approach in which our random variables describe yearly averages of expectation values of the number of individuals instead of individuals (and they take values on a compact interval). Our approach takes advantage of intuitive insights from environmental properties: in nature individuals are attracted or repulsed by specific features (Ballesteros et al. J Math Biol 85(4):31, 2022). Drawing inspiration from quantum mechanics, we incorporate quantum Hamiltonians into classical statistical mechanics (i.e. Gibbs measures or Markov random fields). The equilibrium between spreading and attractive/repulsive forces governs the behavior of the species, expressed through a global control problem involving an energy operator.

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Amid the COVID-19 pandemic, understanding the spatial and temporal dynamics of the disease is crucial for effective public health interventions. This study aims to analyze COVID-19 data in Peru using a Bayesian spatio-temporal generalized linear model to elucidate mortality patterns and assess the impact of vaccination efforts. Leveraging data from 194 provinces over 651 days, our analysis reveals heterogeneous spatial and temporal patterns in COVID-19 mortality rates. Higher vaccination coverage is associated with reduced mortality rates, emphasizing the importance of vaccination in mitigating the pandemic's impact. The findings underscore the value of spatio-temporal data analysis in understanding disease dynamics and guiding targeted public health interventions.

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OBJECTIVES: To assess the efficacy of a sustained educational intervention to affect diverse outcomes across the pregnancy and infancy timeline. SETTING: A multi-arm cluster-randomised controlled trial in 99 villages in Honduras' Copán region, involving 16 301 people in 5633 households from October 2015 to December 2019. PARTICIPANTS: Residents aged 12 and older were eligible. A photographic census involved 93% of the population, with 13 881 and 10 263 individuals completing baseline and endline surveys, respectively. INTERVENTION: 22-month household-based counselling intervention aiming to improve practices, knowledge and attitudes related to maternal, neonatal and child health. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes were prenatal/postnatal care behaviours, facility births, exclusive breast feeding, parental involvement, treatment of diarrhoea and respiratory illness, reproductive health, and gender/reproductive norms. Secondary outcomes were knowledge and attitudes related to the primary outcomes. RESULTS: Parents targeted for the intervention were 16.4% (95% CI 3.1%-29.8%, p=0.016) more likely to have their newborn's health checked in a health facility within 3 days of birth; 19.6% (95% CI 4.2%-35.1%, p=0.013) more likely to not wrap a fajero around the umbilical cord in the first week after birth; and 8.9% (95% CI 0.3%-17.5%, p=0.043) more likely to report that the mother breast fed immediately after birth. Changes in knowledge and attitudes related to these primary outcomes were also observed. We found no significant effect on various other practices. CONCLUSION: A sustained counselling intervention delivered in the home setting by community health workers can meaningfully change practices, knowledge and attitudes related to proper newborn care following birth, including professional care-seeking, umbilical cord care and breast feeding. TRIAL REGISTRATION NUMBER: NCT02694679.

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OBJECTIVES: To map the available methodological guidelines and documents for conducting and reporting benefit-risk assessment (BRA) during health technologies' life cycle; and to identify methodological guidelines for BRA that could serve as the basis for the development of a BRA guideline for the context of health technology assessment (HTA) in Brazil. DESIGN: Scoping review. METHODS: Searches were conducted in three main sources up to March 2023: (1) electronic databases; (2) grey literature (48 HTA and regulatory organisations) and (3) manual search and contacting experts. We included methodological guidelines or publications presenting methods for conducting or reporting BRA of any type of health technologies in any context of the technology's life cycle. Selection process and data charting were conducted by independent reviewers. We provided a structured narrative synthesis of the findings. RESULTS: From the 83 eligible documents, six were produced in the HTA context, 30 in the regulatory and 35 involved guidance for BRA throughout the technology's life cycle. We identified 129 methodological approaches for BRA in the documents. The most commonly referred to descriptive frameworks were the Problem, Objectives, Alternatives, Consequences, Trade-offs, Uncertainty, Risk and Linked decisions and the Benefit-Risk Action Team. Multicriteria decision analysis was the most commonly cited quantitative framework. We also identified the most cited metric indices, estimation and utility survey techniques that could be used for BRA. CONCLUSIONS: Methods for BRA in HTA are less established. The findings of this review, however, will support and inform the elaboration of the Brazilian methodological guideline on BRA for HTA. TRIAL REGISTRATION NUMBER: https://doi.org/10.17605/OSF.IO/69T3V.

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Introduction: Child health is conditioned by the circumstances of pregnancy, childbirth, and early life. Objective: To describe the maternal and neonatal characteristics of live births (LBs) in the Information System on Live Births of Santa Catarina (SC), Brazil. Materials and methods: A cross-sectional study describedthe maternal and neonatal characteristics of 940,059 LBs, from 2010 to 2019. Pearson's chi-square test and Fisher's exact test were conducted, with a statistical significance level of p < 0.05. Results: The mean values of maternal age, number of live children, and number of fetal deaths as well as abortions were 27.1 years, 0.9, and 0.2, respectively. The averages of the number of gestation weeks, number of prenatal consultations, the start date of the prenatal care, and birth weight were 38.5 weeks, 8.1 months, 2.5 monthsand 3,217.1 grams, respectively. Low birth weight (LBW) was prevalent among mothers without education (p < 0.001), including those without prenatal visits (p < 0.001). A higher prevalence of being underweight was observed among female neonates (p < 0.001) and with a maternal age of ≥ 40 years (10.8%; p < 0.001) compared to newborns with good vitality. Newborns with good vitality had a low prevalence of underweight (p < 0.001). The frequency of the variables studied increased, comparing the beginning and end of the period and whether the differences are statistically significant. Conclusions: The study draws attention to the need for interventions to improve the indicators that determine LBW(AU)

Introducción: La salud infantil está condicionada por las circunstancias del embarazo, parto y primeras etapas de la vida. Objetivo: Describir las características maternas y neonatales de los nacidos vivos en el Sistema de Información de Nacidos Vivos de Santa Catarina, Brasil. Materiales y métodos: Estudio transversal describiendo las características maternas y neonatales de 940.059 nacidos vivos entre 2010 y 2019. Se realizó la prueba de chi cuadrado de Pearson y exacta de Fisher y se estableció p < 0,05. Resultados: Los valores medios para la edad materna, el número de nacidos vivos y el número de mortinatos y abortos espontáneos fueron 27,1, 0,9 y 0,2, respectivamente. Las medias del número de semanas de gestación, el número de visitas prenatales, la fecha de inicio de la atención prenatal y el peso al nacer fueron 38,5 semanas (DE 2,2), 8,1 meses, 2,5 meses y 3 217,1 gramos, respectivamente. El bajo peso al nacer (BPN) fue prevalente entre las madres sin estudios (p < 0,001), incluidas las que no acudieron a una cita prenatal (p < 0,001). Hubo una mayor prevalencia de BPN en neonatos de sexo femenino (p < 0,001) con madres de edad ≥ 40 años (10,8%; p < 0,001). Los neonatos con buena vitalidad tuvieron una baja prevalencia de BPN (p < 0,001). La frecuencia de las variables estudiadas aumentó al comparar el inicio y el final del período y si las diferencias son estadísticamente significativas. Conclusiones: El estudio llama la atención sobre la necesidad de intervenciones para mejorar los indicadores que determinan el BPN(AU)

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INTRODUCTION: Wildfires and deforestation potentially have direct effects on multiple health outcomes as well as indirect consequences for climate change. Tropical rainforest areas are characterised by high rainfall, humidity and temperature, and they are predominantly found in low-income and middle-income countries. This study aims to synthesise the methods, data and health outcomes reported in scientific papers on wildfires and deforestation in these locations. METHODS AND ANALYSIS: We will carry out a scoping review according to the Joanna Briggs Institute's (JBI) manual for scoping reviews and the framework proposed by Arksey and O'Malley, and Levac et al. The search for articles was performed on 18 August 2023, in 16 electronic databases using Medical Subject Headings terms and adaptations for each database from database inception. The search for local studies will be complemented by the manual search in the list of references of the studies selected to compose this review. We screened studies written in English, French, Portuguese and Spanish. We included quantitative studies assessing any human disease outcome, hospitalisation and vital statistics in regions of tropical rainforest. We exclude qualitative studies and quantitative studies whose outcomes do not cover those of interest. The text screening was done by two independent reviewers. Subsequently, we will tabulate the data by the origin of the data source used, the methods and the main findings on health impacts of the extracted data. The results will provide descriptive statistics, along with visual representations in diagrams and tables, complemented by narrative summaries as detailed in the JBI guidelines. ETHICS AND DISSEMINATION: The study does not require an ethical review as it is meta-research and uses published, deidentified secondary data sources. The submission of results for publication in a peer-reviewed journal and presentation at scientific and policymakers' conferences is expected. STUDY REGISTRATION: Open Science Framework (https://osf.io/pnqc7/).

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The aim of this paper is to analyze the formative and evaluative activities involving statistical graphs in the new textbooks for Chilean rural multigrade education. The methodology is qualitative, at a descriptive level and uses the content analysis technique. The sample is made up of the six primary education textbooks distributed by the Ministry of Education for rural multigrade schools. The results show the predominance of the bar chart, semiotic level 3, the task of calculating and the personal context in both types of activities, although with respect to the reading level, it is evident that level 4 predominates in the formative activities and level 2 in the evaluative ones. According to the results, it is recommended to incorporate graphs proposed by the curricular guidelines of the Ministry of Education, which are absent in textbooks as well as to include evaluative activities that require reflection on the nature of the data, context, representation and conclusions obtained from them.

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This study investigated the sediment geochemistry of a fish farming area in net cage tanks in the Rosário reservoir, Brazil. Three areas were investigated: reference (RA), fish farming (FFA), and dispersion (DA). The results were analyzed through correlation, similarity, principal component analysis, comparison with legislation, sediment quality guidelines, and sediment pollution indices. The mean concentrations for RA, FFA, and DA areas were respectively: Cu (mg.kg-1) 37.74, 62.23, and 71.83; Mn (mg.kg-1) 22.55, 66.48, and 55.90; Zn (mg.kg-1) 9.13, 114.83, and 94.27; Fe (%) 0.28, 0.40, and 0.43; OM (%) 15.84, 21.95, and 18.45; TOC (%) 1.86, 3.69, and 6.05; TN (mg.kg-1) 2365.00, 5015.00, and 3447.51; TP (mg.kg-1) 780.00, 6896.00, and 2585.50; ORP (mV) -95.50, -135.20, and -127.10; pH 6.60, 6.58, and 6.05; <63 µm 90.59, 78.68, and 87.30. Statistically, the influence of fish farming on sediment, organic matter, and pollutant sedimentation was demonstrated. Cu and Zn concentrations were below sediment quality guidelines. Regarding legal limits (resolution 454/2012/CONAMA), nutrients in the FFA area exceeded by 60% (TN) and 100% (TP), while in DA and RA areas they were 100% lower. TOC was 100% lower in all areas. Organic matter exceeded the limit by 100% in all areas. Pollution indices resulted in: low contamination factor 78%; unpolluted for 87% of pollution load and 83% of combined pollution; moderately polluted for 75% of the Nemerow index. The greatest impacts and influence of farming on pollutant sedimentation were more concentrated in the fish farming area. In terms of legal aspects and pollution indices, fish farming produced low levels of trace metal pollution and nutrient concentrations exceeded legal limits.

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Deep networks can facilitate the monitoring of a balanced diet to help prevent various health problems related to eating disorders. Large, diverse, and clean data are essential for learning these types of algorithms. Although data can be collected automatically, the data cleaning process is time-consuming. This study aims to provide the model with the ability to learn even when the data are not completely clean. For this purpose, we extend the Attentive Feature MixUp method to enable its learning on noisy multi-label food data. The extension was based on the hypothesis that during the MixUp phase, when a pair of images are mixed, the resulting soft labels should be different for each ingredient, being larger for ingredients that are mixed with the background because they are better distinguished than when they are mixed with other ingredients. Furthermore, to address data perturbation, the incorporation of the Laplace approximation as a post-hoc method was analyzed. The evaluation of the proposed method was performed on two food datasets, where a notable performance improvement was obtained in terms of Jaccard index and F1 score, which validated the hypothesis raised. With the proposed MixUp, our method reduces the memorization of noisy multi-labels, thereby improving its performance.

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In this work, we present the water quality assessment of an urban river, the San Luis River, located in San Luis Province, Argentina. The San Luis River flows through two developing cities; hence, urban anthropic activities affect its water quality. The river was sampled spatially and temporally, evaluating ten physicochemical variables on each water sample. These data were used to calculate a Simplified Index of Water Quality in order to estimate river water quality and infer possible contamination sources. Data were statistically analyzed with the opensource software R, 4.1.0 version. Principal component analysis, cluster analysis, correlation matrices, and heatmap analysis were performed. Results indicated that water quality decreases in areas where anthropogenic activities take place. Robust inferential statistical analysis was performed, employing an alternative of multivariate analysis of variance (MANOVA), MANOVA.wide function. The most statistically relevant physicochemical variables associated with water quality decrease were used to develop a multiple linear regression model to estimate organic matter, reducing the variables necessary for continuous monitoring of the river and, hence, reducing costs. Given the limited information available in the region about the characteristics and recovery of this specific river category, the model developed is of vital importance since it can quickly detect anthropic alterations and contribute to the environmental management of the rivers. This model was also used to estimate organic matter at sites located in other similar rivers, obtaining satisfactory results.

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The aim of this article was to analyse the dynamics of sexual offense reports in Colombia over the period between 2010 and 2022. For this, a mixed methodology was applied in the following phases: first, the Colombian National Police registry ­which included 286 604 sexual crimes reported in the aforementioned period­ was analysed. Then, a causal loop diagram of System Dynamics was designed to highlight the role of reporting sexual crimes in the Colombian Penal System. The main findings of this article include that 85.73 % of the complaints are mostly associated with women and 68 % of the victims are minors or adolescents of both sexes. It must be noted that Colombian legislation divides these crimes into those that are aggravated by violence and those that are not. It was also found that when the victim was a woman, the crimes occurred in a higher proportion with the aggravating factor of violence. It can also be concluded that during the COVID-19 pandemic confinement, there was a decrease in the number of sexual offense reports due to its negative effect on the possibility of adult women reporting crimes. In addition, it was found that it is imperative to direct the criminal policies towards the general positive prevention of sexual crimes, without instrumentalising individuals, and aimed at completing a detailed follow-up of complaints.

El objetivo de este artículo fue analizar la dinámica de las denuncias por delitos sexuales en Colombia en el periodo comprendido entre 2010 y 2022. Para ello, se aplicó una metodología mixta en las siguientes fases: primero, se analizó el registro de la Policía Nacional de Colombia -que incluyó 286 604 delitos sexuales denunciados en el periodo mencionado-. Luego, se diseñó un diagrama de bucle causal de Dinámica de Sistemas para resaltar el papel de la denuncia de delitos sexuales en el Sistema Penal Colombiano. Entre los principales hallazgos de este artículo se destaca que el 85.73 % de las denuncias están asociadas mayoritariamente a mujeres y el 68 % de las víctimas son menores de edad o adolescentes de ambos sexos. Es de anotar que la legislación colombiana divide estos delitos en agravados por violencia y no agravados por violencia. También se encontró que cuando la víctima es mujer, los delitos se presentan en mayor proporción con el agravante de violencia. También se puede concluir que durante el encierro pandémico COVID-19, hubo una disminución en el número de denuncias de delitos sexuales debido a su efecto negativo en la posibilidad de que las mujeres adultas denuncien delitos. Además, se constató que es imperativo orientar las políticas criminales hacia la prevención general positiva de los delitos sexuales, sin instrumentalizar a los individuos, y dirigidas a completar un seguimiento detallado de las denuncias.

O objetivo deste artigo foi analisar a dinâmica das denúncias de crimes sexuais na Colômbia no período entre 2010 e 2022. Para isso, foi aplicada uma metodologia mista nas seguintes fases: primeiro, foi analisado o registro da Polícia Nacional da Colômbia, que incluía 286 604 crimes sexuais denunciados no período mencionado. Em seguida, foi elaborado um diagrama de loop causal do System Dynamics para destacar o papel da denúncia de crimes sexuais no sistema penal colombiano. As principais conclusões desse artigo incluem que 85.73 % das denúncias estão associadas principalmente a mulheres e 68 % das vítimas são menores ou adolescentes de ambos os sexos. Deve-se observar que a legislação colombiana divide esses crimes entre aqueles que são agravados pela violência e aqueles que não são. Também foi constatado que, quando a vítima era mulher, os crimes ocorreram em uma proporção maior com o agravante de violência. Também se pode concluir que, durante o confinamento da pandemia da COVID-19, houve uma diminuição no número de denúncias de crimes sexuais devido ao seu efeito negativo sobre a possibilidade de mulheres adultas denunciarem crimes. Além disso, constatou-se que é imprescindível direcionar as políticas criminais para a prevenção geral positiva dos crimes sexuais, sem instrumentalizar os indivíduos, e visando à conclusão de um acompanhamento detalhado das denúncias.

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We present a phenomenological framework based on the MIT bag model to estimate the pressure experienced by quarks and gluons inside nucleons. This is accomplished by implementing non-extensive Tsallis statistics for the two-component system. In this model of hadrons, the strong interaction generates correlations effectively described by the q-Tsallis parameter. The resulting hadron pressure exhibits general agreement with recent calculations derived from Lattice QCD. Additionally, we compared this pressure with data extracted from deep virtual Compton scattering experiments and gravitational form factor analyses. The extended bag model provides an alternative interpretation of bag pressure in terms of the q-Tsallis parameter. Consequently, the MIT bag model can be expressed without requiring the inclusion of the bag pressure parameter.

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A biomarker is a measured indicator of a variety of processes, and is often used as a clinical tool for the diagnosis of diseases. While the developmental process of biomarkers from lab to clinic is complex, initial exploratory stages often focus on characterizing the potential of biomarkers through utilizing various statistical methods that can be used to assess their discriminatory performance, establish an appropriate cut-off that transforms continuous data to apt binary responses of confirming or excluding a diagnosis, or establish a robust association when tested against confounders. This review aims to provide a gentle introduction to the most common tools found in diagnostic biomarker studies used to assess the performance of biomarkers with an emphasis on logistic regression.

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Null hypothesis significant testing (NHST) is the dominant statistical approach in the geriatric and rehabilitation fields. However, NHST is routinely misunderstood or misused. In this case, the findings from clinical trials would be taken as evidence of no effect, when in fact, a clinically relevant question may have a "non-significant" p-value. Conversely, findings are considered clinically relevant when significant differences are observed between groups. To assume that p-value is not an exclusive indicator of an association or the existence of an effect, researchers should be encouraged to report other statistical analysis approaches as Bayesian analysis and complementary statistical tools alongside the p-value (eg, effect size, confidence intervals, minimal clinically important difference, and magnitude-based inference) to improve interpretation of the findings of clinical trials by presenting a more efficient and comprehensive analysis. However, the focus on Bayesian analysis and secondary statistical analyses does not mean that NHST is less important. Only that, to observe a real intervention effect, researchers should use a combination of secondary statistical analyses in conjunction with NHST or Bayesian statistical analysis to reveal what p-values cannot show in the geriatric and rehabilitation studies (eg, the clinical importance of 1kg increase in handgrip strength in the intervention group of long-lived older adults compared to a control group). This paper provides potential insights for improving the interpretation of scientific data in rehabilitation and geriatric fields by utilizing Bayesian and secondary statistical analyses to better scrutinize the results of clinical trials where a p-value alone may not be appropriate to determine the efficacy of an intervention.

Assuntos

RESUMO

The production of biofuels to be used as bioenergy under combustion processes generates some gaseous emissions (CO, CO2, NOx, SOx, and other pollutants), affecting living organisms and requiring careful assessments. However, obtaining such information experimentally for data evaluation is costly and time-consuming and its in situ obtaining for regional biomasses (e.g., those from Northeast Brazil (NEB) is still a major challenge. This paper reports on the application of artificial neural networks (ANNs) for the prediction of the main air pollutants (CO, CO2, NO, and SO2) produced during the direct biomass combustion (N2/O2:80/20%) with the use of ultimate analysis (carbon, hydrogen, nitrogen, sulfur, and oxygen). 116 worldwide biomasses were used as input data, which is a relevant alternative to overcome the lack of experimental resources in NEB and obtain such information. Cross-validation was conducted with k-fold to optimize the ANNs and performance was analyzed with the use of statistical errors for accuracy assessments. The results showed an acceptable statistical performance for all architectures of ANNs, with 0.001-12.41% MAPE, 0.001-5.82 mg Nm-3 MAE, and 0.03-52.30 mg Nm-3 RMSE, highlighting the high precision of the emissions studied. On average, the differences between predicted and real values for CO, CO2, NO, and SO2 emissions from NEB biomasses were approximately 0.01%, 10-6%, 0.14%, and 0.05%, respectively. Pearson coefficient provided consistent results of concentration of the ultimate analysis in relation to the emissions studied and effectiveness of the test set in the developed models.

Assuntos