Variability in life expectancy among people with HIV in Brazil by gender and sexual orientation

Abstract Introduction In Brazil, though Antiretroviral Therapy (ART) is available to all, the benefits may not be experienced uniformly. We projected Life Expectancy (LE) for People Living with HIV (PLHIV) in care as currently observed and estimated the impact of guideline-concordant care. Methods Using a microsimulation model, we projected LE for a cohort of PLHIV and for four population groups: cisgender Men who have Sex with Men (MSM), cisgender Men who have Sex with Women (MSW), Cisgender Women (CGW), and Transgender Women (TGW). Cohort data from Evandro Chagas National Institute of Infectious Diseases/Oswaldo Cruz Foundation (INI/Fiocruz) informed model parameters. We modeled five scenarios: 1) Current care: ART initiation, adherence, and retention in care as currently observed, 2) Guideline-concordant care: immediate ART initiation, full adherence to treatment, and consistent retention in care, 3) Immediate ART initiation with observed adherence to treatment and retention in care, 4) Full adherence to treatment with observed timing of ART initiation and retention in care, and 5) Consistent retention in care with observed timing of ART initiation and adherence. Results With current care, LE from age 15 would be 45.9, 44.4, 54.2, and 42.3 years, for MSM, MSW, CGW, and TGW. With guideline-concordant care, LE would be 54.2, 54.4, 63.1, and 53.2 years, for MSM, MSW, CGW and TGW, with TGW experiencing the greatest potential increase in LE (10.9 years). When investigating the components of care separately, MSW and CGW would gain most LE with immediate ART initiation, whereas for MSM and TGW consistent retention in care would be most impactful. Conclusions In settings like INI/Fiocruz, MSW and CGW would benefit most from interventions focused on earlier diagnosis and linkage to care, whereas TGW and MSM would benefit from interventions to sustain engagement in care. Assessment of the HIV care continuum for specific populations should inform care priorities.

Relação entre fatores socioeconômicos e a pandemia da covid-19 / Correlation between socioeconomic factors and the COVID-19 pandemic

Resumo Este artigo objetivou verificar a relação entre os fatores socioeconômicos e a pandemia da covid-19 nos municípios de médio porte mineiros. O procedimento de análise de dados foi a modelagem de equações estruturais de mínimos quadrados parciais. As variáveis utilizadas foram vulnerabilidade, saneamento, renda, agravantes, vacinação, casos de covid-19, mortalidade por covid-19, hospitalização e doenças crônicas não transmissíveis. Os dados foram coletados no Índice Mineiro de Responsabilidade Social, no painel de monitoramento dos casos de covid-19 e no painel de monitoramento de vacinação contra covid-19. O recorte temporal foi determinado pelo início da pandemia e a disponibilidade de dados (março de 2020 a setembro de 2021). Os resultados evidenciaram que melhores condições de saneamento estão negativamente relacionadas aos casos de covid-19, a renda está positivamente relacionada com os casos de covid-19 e a taxa de mortalidade por doenças crônicas não transmissíveis está relacionada de forma positiva com a mortalidade por covid-19. Os casos de covid-19 têm impacto negativo na hospitalização e a hospitalização tem impacto positivo na mortalidade. Os casos moderados pela vacinação estão negativamente relacionados à mortalidade por covid-19. Os resultados confirmam que condições socioeconômicas menos favoráveis tornam a sociedade mais vulnerável a covid-19.

Abstract This study investigated the correlation between socioeconomic factors and the COVID-19 pandemic in medium-sized Minas Gerais municipalities. Data were analyzed by partial least squares structural equation modeling, using the following variables: vulnerability, sanitation, income, aggravating factors, vaccination, COVID-19 cases, COVID-19 mortality, hospitalization and non-communicable chronic diseases. Data were obtained from the Minas Gerais Social Responsibility Index, the COVID-19 cases monitoring panel and the COVID-19 vaccination monitoring panel. Data collection time frame was determined by the onset of the pandemic and data availability (March 2020 to September 2021). Results showed that better sanitation conditions are negatively related to COVID-19 cases, income is positively related to COVID-19 cases, and higher mortality from chronic noncommunicable diseases are positively related to COVID-19 mortality. COVID-19 cases have a negative impact on hospitalization and hospitalization has a positive impact on mortality. Cases, moderated by vaccination, are negatively related to COVID-19 mortality. These findings confirm that less favorable socioeconomic conditions make society more vulnerable to COVID-19.

Revisión histórica, distribución potencial y estado de conservación de la rata endémica de México Xenomys nelsoni (Rodentia: Cricetidae) / Historical review, potential distribution, and conservation of the Mexican endemic rat Xenomys nelsoni (Rodentia: Cricetidae)

Resumen Introducción: La Rata de Magdalena, Xenomys nelsoni, es un roedor endémico de México, de distribución restringida a las selvas bajas caducifolias densas, en una pequeña región de la costa del Pacífico mexicano. Es una especie poco conocida, catalogada como "En Peligro" de acuerdo con la Unión Internacional para la Conservación de la Naturaleza (IUCN). Este desconocimiento unido a la alta tasa de deforestación de su hábitat hace que su conservación sea prioritaria. Objetivo: Realizar un recuento histórico de los registros depositados en las colecciones científicas, generar mapas de distribución potencial y analizar el estado de conservación de la especie. Método: Los datos de ocurrencia de las especies se obtuvieron de la literatura y bases de datos digitales y se analizaron por décadas. Se utilizaron los programas GARP y MaxEnt para generar los modelos de nicho ecológico. La importancia de las variables en el modelo se estimó mediante un análisis Jackknife. Resultados: A lo largo de 129 años 19 recolectores registraron 69 ejemplares, de los cuales 65 están depositados en siete colecciones internacionales y una nacional. Aunque la especie sólo se ha recolectado en Jalisco y Colima, la distribución potencial de X. nelsoni incluye también el estado de Michoacán. De esta área estimada, sólo el 1.5 % se encuentra dentro de un Área Natural Protegida. Conclusiones: Los resultados de la distribución potencial podrían ser utilizados para verificar la presencia de la especie en lugares donde no ha sido recolectada como el norte de la Reserva de la Biosfera Chamela-Cuixmala y en algunas zonas de la provincia fisiográfica Costas del Sur en el estado de Michoacán. Es necesario incrementar los muestreos en regiones poco estudiadas predichas por el modelo y aumentar el área de protección.

Abstract Introduction: The Magdalena Rat, Xenomys nelsoni, is a rodent endemic to Mexico, whose distribution is restricted to dense tropical dry forests in a small region on the Pacific coast of Mexico. It is a poorly known species categorized as "Endangered" by the International Union for Conservation of Nature (IUCN). This lack of knowledge and the high rates of deforestation of its habitat makes its conservation a priority. Objective: To summarize the historical records deposited in scientific collections, to create potential distribution maps, and to analyze the conservation status of the species. Methods: We obtained species occurrence data from literature and digital databases, analyzing them by the decade. We used GARP and MaxEnt software to generate the ecological niche models. The importance of the variables in the model was estimated using the Jackknife technique. Results: Over 129 years, 19 collectors registered 69 specimens, of which 65 are deposited in one national and seven international collections. Although the species has only been collected in Jalisco and Colima, the potential distribution for X. nelsoni also includes the state of Michoacán. Of this estimated area, only 1.5 % is in a Protected Natural Area. Conclusions: The results of the potential distribution could be used to verify the presence of the species in places where it has not been collected, such as the northern part of the Chamela-Cuixmala Biosphere Reserve and in some areas of the physiographic province Costas del Sur in the state of Michoacán. It is needed to increase samplings in the least studied regions predicted by the model and expand the area of protection.

Marco legal para la prevención de procedimientos estéticos con sustancias modelantes / Legal framework for preventing aesthetic procedures with modeling substances i:en

En la actualidad, la alogenosis iatrogénica es una condición reconocida en todo el orbe, especialmente en Latinoamérica, donde es evidente la ausencia de control en la administración de sustancias no reguladas con fines estéticos, lo que ha devenido un problema emergente por la magnitud de las complicaciones, ya que algunos productos, como aceites minerales, hidrocarburos, silicona industrial, generan graves consecuencias, tanto locales como sistémicas, en el organismo. Muchos países aún no han regulado la prohibición de esta práctica, aunque cada día son más las campañas para prevenirla; sin embargo, al mismo tiempo aumenta la incidencia de la enfermedad en todo el mundo por el incremento de estos procedimientos estéticos. Al respecto, en Cuba, el creciente número de afectados por esta causa evidencia vulnerabilidad en el cumplimiento de lo establecido hasta la fecha, por lo que se impone instaurar un marco legal de estricto cumplimiento que regule la inyección de sustancias modelantes con fines estéticos.

Currently, iatrogenic allogenosis is a condition recognized throughout the world, especially in Latin America, where the absence of control in the administration of unregulated substances for aesthetic purposes is evident, which has become an emerging problem due to the magnitude of complications, since some products, such as mineral oils, hydrocarbons, industrial silicone, generate serious consequences, both local and systemic, in the body. Many countries have not yet regulated the prohibition of this practice, although every day there are more campaigns to prevent it. However, at the same time the incidence of the disease increases worldwide due to the increase in these aesthetic procedures. In this regard, in Cuba, the growing number of people affected by this cause shows vulnerability in compliance with what has been established to date, that is why it is necessary to establish a legal framework of strict compliance that regulates the injection of modeling substances for aesthetic purposes.

An electric field modeling study with meta-analysis to understand the antidepressant effects of transcranial direct current stimulation (tDCS)

Objective: Transcranial direct current stimulation (tDCS) has mixed effects for major depressive disorder (MDD) symptoms, partially owing to large inter-experimental variability in tDCS protocols and their correlated induced electric fields (E-fields). We investigated whether the E-field strength of distinct tDCS parameters was associated with antidepressant effect. Methods: A meta-analysis was performed with placebo-controlled clinical trials of tDCS enrolling MDD patients. PubMed, EMBASE, and Web of Science were searched from inception to March 10, 2023. Effect sizes of tDCS protocols were correlated with E-field simulations (SimNIBS) of brain regions of interest (bilateral dorsolateral prefrontal cortex [DLPFC] and bilateral subgenual anterior cingulate cortex [sgACC]). Moderators of tDCS responses were also investigated. Results: A total of 20 studies were included (21 datasets, 1,008 patients), using 11 distinct tDCS protocols. Results revealed a moderate effect for MDD (g = 0.41, 95%CI 0.18-0.64), while cathode position and treatment strategy were found to be moderators of response. A negative association between effect size and tDCS-induced E-field magnitude was seen, with stronger E-fields in the right frontal and medial parts of the DLPFC (targeted by the cathode) leading to smaller effects. No association was found for the left DLPFC and the bilateral sgACC. An optimized tDCS protocol is proposed. Conclusions: Our results highlight the need for a standardized tDCS protocol in MDD clinical trials. Registration number: PROSPERO CRD42022296246.

Ergonomia en actividades académicas desde casa

Introducción: A consecuencia de la emergencia sanitaria por el virus SARS-CoV2, las actividades académicas migraron de forma repentina a un entorno de trabajo remoto; esto provocó que los hogares de todo el mundo se convirtieran en el asentamiento urgente de las estaciones de trabajo académico. La ergonomia como disciplina científica cobra relevancia al ser un aliado subsanador para mitigar los riesgos asociados con la aparición de lesiones musculoesqueléticas. De acuerdo con la memoria estadística del Instituto Mexicano de Seguridad Social, IMSS1, en el primer año de pandemia de COVID-19 se registraron 30 860 atenciones por lesiones en la región de manos y muñecas, 9696 en la zona de cabeza y cuello, 6251 dorsopatías y 1673 atenciones por astenopia a jóvenes de entre 18 a 29 años que desarrollaban actividades escolares. Objetivo: En este sentido, se aborda la presente investigación para conocer la composición de los espacios de trabajo académico en casa y analizar si existen factores o elementos que incidan en el riesgo de lesiones musculoesqueléticas en los estudiantes del nivel superior. Metodología: A través de un modelo de ecuaciones estructurales que cuenta con el constructo latente de las posibles lesiones (PL) en manos, espalda, piernas, cabeza, vista, oído, agotamiento físico y la respiración, las variables observables se atribuyen a los espacios utilizados para las actividades académicas en casa, muebles y equipos, Condiciones y Medio Ambiente (CyMAT). Resultados y discusión: Se encontró que un mal diseño de la estación de trabajo académico en casa, aunado a la utilización inadecuada de los muebles y equipos, aumenta la posibilidad de presentar síntomas asociados con las LMEs y, por tanto, daños en la salud del estudiante. Conclusión: La mediación de las estaciones de trabajo a través de la implementación de elementos ergonómicos mejora de forma sustancial la calidad de trabajo académico en casa, y hace evidente la importancia de la ergonomía como disciplina científica.

Introduction: As a result of the health emergency of the SARS-CoV2 virus, academic activities suddenly migrated to a remote work environment, causing homes around the world to become the urgent settlement of academic workstations. Ergonomics as a scientific discipline becomes relevant as it is a healing ally to mitigate the risks associated with the appearance of musculoskeletal injuries. According to the statistical report of the Mexican Institute of Social Security, IMSS1, in the first year of the COVID 19 pandemic, 30,860 care for injuries in the hands and wrists region, 9,696 in the head and neck area, 6,251 dorsopathies and 1,673 care for asthenopia were registered to young people between 18 and 29 years old who develop school activities. Objective: In this sense, this research is addressed to know the composition of academic workspaces at home and analyze if some factors or elements affect the risk of musculoskeletal injuries in students of the higher level. Methodology: Through a structural equations model that has the latent construct of possible injuries (PL) in the hands, back, legs, head, eyesight, hearing, physical exhaustion, and breathing; the observable variables are attributed to the spaces used for academic activities at home, furniture and equipment, conditions and environment (CyMAT) Results and discussion: It is explored that a bad design of the academic workstation at home coupled with the inappropriate use of furniture and equipment increases the possibility of presenting symptoms associated with SCI and therefore, damage to the student's health. Conclusion: The mediation of workstations through the implementation of ergonomic elements substantially improves the quality of academic work at home, making evident the importance of ergonomics as a scientific discipline

Nonparametric item response models: a comparison on recovering true scores / Modelos de resposta ao item não-paramétricos: comparando a recuperação de escores verdadeiros / Modelos de respuesta al item no-paramétricos: comparando la recuperación de puntuaciones verdaderas

Nonparametric procedures are used to add flexibility to models. Three nonparametric item response models have been proposed, but not directly compared: the Kernel smoothing (KS-IRT); the Davidian-Curve (DC-IRT); and the Bayesian semiparametric Rasch model (SP-Rasch). The main aim of the present study is to compare the performance of these procedures in recovering simulated true scores, using sum scores as benchmarks. The secondary aim is to compare their performances in terms of practical equivalence with real data. Overall, the results show that, apart from the DC-IRT, which is the model that performs the worse, all the other models give results quite similar to those when sum scores are used. These results are followed by a discussion with practical implications and recommendations for future studies.(AU)

Procedimentos não paramétricos são usados para adicionar flexibilidade aos modelos. Três modelos não paramétricos de resposta ao item foram propostos, mas não comparados diretamente: o Kernel smoothing (KS-IRT); a Curva Davidiana (DC-IRT); e o modelo semiparamétrico Rasch Bayesiano (SP-Rasch). O objetivo principal do presente estudo é comparar o desempenho desses procedimentos na recuperação de escores verdadeiros simulados, utilizando escores de soma como benchmarks. O objetivo secundário é comparar seus desempenhos em termos de equivalência prática com dados reais. De forma geral, os resultados mostram que, além do DC-IRT, que é o modelo que apresenta o pior desempenho, todos os outros modelos apresentam resultados bastante semelhantes aos de quando se usam somatórios. Esses resultados são seguidos de uma discussão com implicações práticas e recomendações para estudos futuros.(AU)

Se utilizan procedimientos no paramétricos para agregar flexibilidad a los modelos. Se propusieron tres modelos de respuesta al ítem no paramétricos, pero no se compararon directamente: Kernel smoothing (KS-IRT); la curva davidiana (DC-IRT); y el modelo bayesiano de Rasch semiparamétrico (SP-Rasch). El objetivo principal del presente estudio es comparar el desempeño de estos procedimientos en la recuperación de puntajes verdaderos simulados, utilizando puntajes de suma como puntos de referencia. El objetivo secundario es comparar su desempeño en términos de equivalencia práctica con datos reales. En general, los resultados muestran que, a excepción de DC-IRT, que es el modelo con peor desempeño, todos los otros modelos presentan resultados bastante similares a los obtenidos cuando se utilizan sumatorios. Estos resultados son seguidos por una discusión con implicaciones prácticas y recomendaciones para estudios futuros.(AU)

A STUDY ON FINANCIAL MODELING USING 3 STATEMENT MODEL AND DCF VALUATION: AN INSIGHT FOR NEW ENTREPRENEURS

Financial statements reect the position of a company in respect of its wealth and protability in its short- term and long-term existence. The company's result in terms of protability is reected in the Prot and Loss statement for a nancial year. The Long term nancial health of the company in terms of its wealth creation will be reected in its Financial Position Statement, termed as a Balance sheet reecting its assets and liability position throughout its existence. Various nancial modelling techniques are used to predict the future of a company. The 3-statement model predicts the company's nancial strength for the future regarding the Balance sheet, prot and Loss Account and Cash ow statement. The study aims to predict the nancial statements for a future period of 5 years based on the company's past performance. The study was based on the nancial performance of Siemens AG for the past ve years, and it attempts to predict the future 5 years of the company under study.

Modelado matemático del efecto de las medidas de cuidado por COVID-19 sobre otras enfermedades respiratorias / Mathematical modelling of the impact of COVID-19 care measures on other respiratory diseases

RESUMEN INTRODUCCIÓN Los modelos matemáticos de la transmisión de enfermedades infecciosas permiten estudiar distintos mecanismos que afectan su comportamiento temporal. Este trabajo analizó el efecto sobre la dinámica de la influenza y el virus sincitial respiratorio (VSR) de la disminución de la transmisibilidad debida a las medidas de cuidado adoptadas para reducir la circulación de COVID-19. MÉTODOS Se empleó un modelo determinista tipo SIRS (susceptible-infectado-recuperado-susceptible) con modulación estacional para representar la influenza y el VSR, en ambos casos con inmunidad de corta duración y ciclo anual. Los cambios en la transmisibilidad de la enfermedad se modelaron reduciéndola durante dos años y planteando distintos escenarios. RESULTADOS En el modelo planteado, la reducción en la transmisibilidad genera cambios que se sostienen en los años siguientes: eventos epidémicos muy pronunciados con alargamiento del intervalo interbrote. Este efecto resulta dominante respecto del comportamiento estacional. El escenario de una reducción inicial de la transmisibilidad del 40% resulta compatible con el comportamiento de influenza y VSR reportados actualmente para Argentina. DISCUSIÓN El modelo general propuesto, en condiciones de disminución transitoria en la transmisibilidad, exhibe una epidemiología compatible con la observada recientemente en Argentina para ambas enfermedades e ilustra el modelado como herramienta útil en la comprensión de efectos no intuitivos.

ABSTRACT INTRODUCTION Mathematical models of infectious diseases transmission allow to study different mechanisms which affect their temporal behavior. This work analyzed the impact of the decrease in transmissibility, as a result of measures of personal care adopted to reduce circulation of COVID-19, on the dynamics of influenza and respiratory syncytial virus (RSV). METHODS A deterministic SIRS (susceptible-infected-recovered-susceptible) model with seasonal modulation was used to represent two diseases with short-term immunity and annual cycle: influenza and RSV. Changes in disease transmissibility were modeled by reducing it for two years and analyzing different scenarios. RESULTS In the proposed model, transmissibility reduction brings changes which sustain in the following years: very pronounced epidemic events with lengthening of the inter-outbreak interval. This effect prevails over the seasonal behavior. The scenario of 40% initial reduction in transmissibility is compatible with the behavior of influenza and RSV currently reported in Argentina. DISCUSSION The general model proposed here, under conditions of temporary reduced transmissibility, shows an epidemiology compatible with recently reported data of influenza and RSV in Argentina. This result illustrates modeling as a useful tool to understand non-intuitive effects.

Green Products Purchase Intention in Chilean Consumers: Comparing Three Models Using Structural Equations / Intención de Compra de Productos Ecológicos en Consumidores Chilenos: Comparación de Tres Modelos por Ecuaciones Estructurales

Abstract The objective of this study was to compare three models: the theory of reasoned action (TRA), the theory of planned behavior (TPB), and its extended form (ETPB), to predict the intention of Chilean consumers for purchasing green products. Five hundred people were surveyed, establishing an inter-rater reliability analysis, and a discriminant, convergent and construct validity using three structural equation models (SEM). The results showed that the ETPB model is useful to explain the consumption behavior intention for green products based on a triple bottom line, whose main contribution is the indirect effect of EC on the model. The study found that of the three variables, PBC was the strongest predictor of purchase intention, followed by attitude. In conclusion, both the ETPB model and the green products purchase intention instrument contribute to broaden the studies about consumer behavior in sustainable marketing in Chile.

Resumen El objetivo del presente estudio fue comparar los modelos de teoría de acción razonada (TAR), teoría de comportamiento planificado (TCP) y su forma extendida (TCPE), para predecir la intención de compra de productos ecológicos en consumidores chilenos. Se encuestaron 500 personas y se estableció un análisis de fiabilidad interjuez, validez discriminante, convergente y de constructo a través de modelos de ecuaciones estructurales (SEM). Los resultados señalan que el modelo TCPE es útil para explicar la intención de comportamiento de consumo ante productos verdes con base en una triple línea de fondo, cuya principal contribución es el efecto indirecto de PA sobre el modelo. De las tres variables, se evidencia que el CCP era la predictora más fuerte de la intención de compra, seguida de la actitud. En conclusión, tanto el modelo TCPE como el instrumento de intención de compra de productos verdes contribuyen a la ampliación de estudios sobre el comportamiento del consumidor en marketing sustentable en Chile.

El efecto de la poda de Acropora palmata como estrategia para la obtención de tejido vivo en acciones de restauración arrecifal

Introducción: Los arrecifes de coral son ecosistemas altamente degradados, por lo que ha sido necesario implementar acciones de restauración activa para recuperar su estructura y funcionamiento. Se ha implementado la propagación clonal para obtener fragmentos pequeños (~ 10 cm) de las ramas distales de colonias donadoras de corales de la especie Acropora palmata, para posteriormente fijarlos en el sustrato arrecifal, simulando el efecto de dispersión que ocurre de manera natural en esta especie, a lo que en este trabajo se denomina ''dispersión asistida". Sin embargo, es necesario evaluar los efectos de esta técnica como son: la cantidad de fragmentos que se puede obtener de cada colonia, el periodo de recuperación de tejido de las colonias donadoras y los fragmentos sembrados. Objetivo: Evaluar el efecto de poda en las colonias donadoras estimando el porcentaje de tejido podado de colonias donadoras de A. palmata y su tasa de recuperación 30 meses después. Métodos: Se realizaron cuatro monitoreos: antes, inmediatamente después de la poda, un mes después de la siembra, y 30 meses después, en cuatro colonias de A. palmata localizadas en el Parque Nacional Costa Occidental de Isla Mujeres, Punta Cancún y Punta Nizuc en el Caribe mexicano. La modelación 3D basada en fotogrametría se realizó con el software Agisoft Metashape Pro, mientras que las métricas de área de superficie de tejido, extensión radial y apical se obtuvieron mediante el software CloudCompare. Resultados: Posterior a la colecta de fragmentos de las colonias, se observó que el material utilizado en la dispersión asistida representa menos del 12% del tejido vivo. Después de un mes, las colonias donadoras presentaban una recuperación del 5% con tejido nuevo recubriendo las áreas de corte. Las colonias donadoras perdieron, en promedio, 65% de tejido vivo tras el impacto de cuatro huracanes, y en un caso la colonia fue totalmente eliminada, pero con los fragmentos sembrados se pudo conservar el genotipo. Conclusiones: La dispersión asistida podría incrementar el tejido vivo de corales ramificados en intervalos de tiempo relativamente cortos, sin comprometer la integridad de la colonia donadora, si se poda menos del 12%.

Introduction: Coral reefs are highly degraded ecosystems, for which it has been necessary to implement active restoration actions to recover their structure and functioning. Asexual propagation has been implemented to obtain small fragments (~10 cm) from the distal branches of donor colonies of corals of the species Acropora palmata, to subsequently relocate them in the reef substrate, simulating the dispersion effect that occurs naturally in the species, which in this work is called assisted propagation. However, it is necessary to evaluate the effects of this technique, such as the number of fragments that can be obtained from each colony, the tissue recovery period of the donor colonies and fragments. Objective: To address the effect of pruning on donor colonies by estimating the percentage of live tissue removed from donor colonies of A. palmata and their recovery rate after 30-months. Methods: Four surveys were carried out: before, immediately after pruning, one month after outplanting, and 30 months after pruning on four colonies of A. palmata located in the Parque Nacional Costa Occidental de Isla Mujeres, Punta Cancún and Punta Nizuc in the Mexican Caribbean. Photogrammetry-based 3D modeling was performed using Agisoft Metashape Pro software, while tissue surface area, radial and apical growth were obtained using CloudCompare software. Results: After fragment collection, the material used in the assisted propagation represents less than 12% of the living tissue. After one month, the donor colonies showed a recovery of 5%, with new tissue covering the cut areas. The donor colonies lost on average 65 % of living tissue after four hurricanes, and in one case the colony was lost all together, but with the outplanted fragments the genotype could be preserved. Conclusions: Assisted propagation could increase living tissue of branching corals in relatively short intervals of time, without serious damage to the donor colony if less than 12 % is removed.

Exploring factors associated with obesity in Argentinian children using structural equation modeling / Explorando factores asociados a la obesidad en niños argentinos usando un modelo de ecuaciones estructurales / Explorando fatores associados à obesidade em crianças argentinas utilizando a modelagem de equações estruturais

Abstract: Habits and behaviors related to obesity risk are strongly associated with the family environment and are affected by socioeconomic factors. Structural equation modeling (SEM) allows us to hypothesize on how the relationships between these factors occur and measure their impact. This study aimed to explore the relationship between family socioeconomic indicators and childhood obesity, mediated by habits linked to energy balance, applying a SEM. A cross sectional study was performed on 861 Argentinian schoolchildren aged 6-12 years, from 2015 to 2016. The model included three latent variables: socioeconomic status, healthy habits, and obesity. Socioeconomic status indicators and healthy habits were surveyed by self-administered parental questionnaires, whereas obesity indicators were evaluated with anthropometry. The applied model showed an acceptable fit (NFI = 0.966; CFI = 0.979; RMSEA = 0.048). Socioeconomic status positively influenced parental education, health insurance, and car possession, while negatively influenced crowding (p < 0.001). Healthy habits significantly influenced physical activity, meals frequency, and sleep hours, while negatively influenced sedentary hours and mother's nutritional status (p < 0.001). Obesity factor positively influenced body mass index, body fat, and waist-to-height ratio (p < 0.001). Finally, socioeconomic status positively influenced health habits, which in turn negatively influenced obesity factor. Healthy habits (especially physical activity and mother's nutritional status) mediated the relationship between socioeconomic status and child obesity. Further research should include other indicators related to diet, eating habits, and physical activity like neighborhood characteristics.

Resumen: Los hábitos y comportamientos relacionados con el riesgo de obesidad están fuertemente asociados al entorno familiar y se ven afectados por factores socioeconómicos. El modelo de ecuaciones estructurales (MEE) permite plantear hipótesis sobre cómo se dan las relaciones entre estos factores y medir su impacto. El objetivo del presente estudio fue explorar la relación entre los indicadores socioeconómicos familiares y la obesidad infantil, mediada por hábitos relacionados con el balance energético, aplicando un MEE. Se realizó un estudio transversal con 861 escolares argentinos de 6 a 12 años entre 2015 y 2016. El modelo incluyó tres variables latentes: nivel socioeconómico, hábitos saludables y obesidad. Los indicadores nivel socioeconómico y hábitos saludables se midieron mediante cuestionarios autoadministrados a los padres, mientras que los indicadores de obesidad se obtuvieron mediante antropometría. El modelo aplicado presentó un ajuste aceptable (NFI = 0,966; CFI = 0,979; RMSEA = 0,048). El nivel socioeconómico influyó positivamente en la escolaridad de los padres, en el plan de salud y en el hecho de tener automóvil, mientras que influyó negativamente en el hacinamiento (p < 0,001). La variable hábitos saludables influyó significativamente en la actividad física, en la frecuencia de las comidas y en las horas de sueño, pero influyó negativamente en las horas sedentarias y en el estado nutricional materno (p < 0,001). El factor obesidad influyó positivamente en el índice de masa corporal, en la grasa corporal y en la razón cintura/talla (p < 0,001). Finalmente, el nivel socioeconómico influyó positivamente en los hábitos saludables, que, a su vez, influyeron negativamente en la obesidad. Los hábitos saludables, en especial la actividad física y el estado nutricional materno, moderan la relación entre el nivel socioeconómico y la obesidad infantil. Las nuevas investigaciones deberían incluir otros indicadores relacionados con la dieta, con los hábitos alimentarios y con la actividad física, así como con las características del vecindario.

Resumo: Hábitos e comportamentos relacionados ao risco de obesidade estão fortemente associados ao ambiente familiar e afetados por fatores socioeconômicos. A modelagem de equações estruturais (MEE) permite levantar hipóteses sobre como ocorrem as relações entre esses fatores e medir seu impacto. O objetivo do presente estudo foi explorar a relação entre os indicadores socioeconômicos familiares e a obesidade infantil, mediada por hábitos ligados ao balanço energético, aplicando uma MEE. Um estudo transversal foi realizado com 861 escolares argentinos de 6 a 12 anos entre 2015 e 2016. O modelo incluiu três variáveis latentes: nível socioeconômico, hábitos saudáveis e obesidade. Os indicadores do nível socioeconômico e de hábitos saudáveis foram medidos por meio de questionários autoaplicáveis aos pais, enquanto os indicadores de obesidade foram obtidos por meio de antropometria. O modelo aplicado apresentou um ajuste aceitável (NFI = 0,966; CFI = 0,979; RMSEA = 0,048). O nível socioeconômico influenciou positivamente a escolaridade dos pais, o plano de saúde e a posse de automóvel, enquanto influenciou negativamente a aglomeração (p < 0,001). A variável hábitso saudáveis influenciou significativamente a atividade física, a frequência das refeições e as horas de sono, mas influenciou negativamente as horas sedentárias e o estado nutricional materno (p < 0,001). O fator obesidade influenciou positivamente o índice de massa corporal, a gordura corporal e a relação cintura/estatura (p < 0,001). Finalmente, o nível socioeconômico influenciou positivamente os hábitso saudáveis, que por sua vez influenciou negativamente a obesidade. Hábitos saudáveis, especialmente atividade física e estado nutricional materno, mediam a relação entre nível socioeconômico e obesidade infantil. Novas pesquisas devem incluir outros indicadores relacionados à dieta, hábitos alimentares e atividade física, como características da vizinhança.

Invitation to Mathematical Psychology: Models and Benefits of Formal Theorizing / Convite à Psicologia Matemática: Modelos e Benefícios da Teorização Formal

ABSTRACT In most areas, psychological phenomena tend to be explained only through textual constructions. Several authors, however, point to the need for theories that have a more formal nature, based on mathematical reasoning. In order to encourage broader access to its applications, we present the models and advantages of a mathematical psychology approach to the study of behavior. We review the limitations of verbal theorizing, then a common taxonomy in mathematical psychology follows, that classifies formal models as descriptive, process characterization, and explanatory. As well succeeded cases, we examine the mathematical psychology of decision making, of helping behavior, of memory, and of romantic relationships. Finally, we discuss the potential benefits and uses of this approach. Welcome to mathematical psychology.

RESUMO Na maior parte das áreas os fenômenos psicológicos tendem a ser explicados apenas por meio de construções textuais. Diversos autores, no entanto, apontam para a necessidade de teorias que tenham uma natureza mais formal, baseada em raciocínio matemático. A fim de incentivar acesso mais amplo às suas aplicações, apresentamos os modelos e vantagens da abordagem da psicologia matemática para o estudo do comportamento. Revisamos as limitações da teorização verbal, apresentando em seguida uma taxonomia, comum na psicologia matemática, que classifica os modelos de dados como descritivos, explicativos e de caracterização. Como casos bem sucedidos, examinamos a psicologia matemática da tomada de decisão, do comportamento de ajuda, da memória e dos relacionamentos românticos. Por fim, discutimos os benefícios e usos potenciais da abordagem. Bem-vindo(a) à psicologia matemática.

Application of 3D digital modeling combined with 3D printed model in classroom theoretical teaching of orthopedics / 中华医学教育探索杂志

Objective:To investigate the application effect of 3D digital modeling combined with 3D printed model in assisting the classroom theoretical teaching of orthopedics in five-year undergraduate students majoring in clinical medicine.Methods:In May 2022, 33 five-year undergraduate students majoring in clinical medicine in the class of 2018 in Southwest Medical University were selected and divided into experimental group with 17 students and control group with 16 students according to the odd or even student number. The students in the experimental group were taught by traditional PPT+3D digital modeling combined with 3D printed model, and those in the control group were taught by the traditional PPT teaching method. The teaching effect was evaluated by theoretical examination and a questionnaire survey on the degree of satisfaction with teaching. SPSS 25.0 was used to perform the t-test, the Mann-Whitney U test, the rank sum test, and the chi-square test. Results:The experimental group had a significantly higher score of theoretical examination than the control group (86.24±4.16 vs. 82.50±6.06). The questionnaire survey on the degree of satisfaction with teaching showed that compared with the control group, the experimental group had a significantly higher degree of satisfaction with the understanding and learning of orthopedic diseases [3 (2, 3) vs. 2 (2, 2), P < 0.05], the improvement in learning interest [2 (2, 3) vs. 2 (1, 2), P < 0.05], classroom innovation [3 (3, 3) vs. 2 (1.5, 2), P < 0.05], and overall classroom teaching [3 (2, 3) vs. 2 (2, 2), P < 0.05]. Conclusion:In assisting the classroom theoretical teaching of orthopedics in undergraduate students majoring in clinical medicine, 3D digital modeling combined with 3D printed model can provide concrete 3D models, reduce the difficulties in learning, improve the awareness of orthopedic diseases, strengthen learning interest, and increase the degree of satisfaction with teaching and academic scores.

Advances in application of induced pluripotent stem cells in childhood genetic diseases / 中国生物制品学杂志

@#Somatic cell reprogramming has developed rapidly in the field of modern biology. Induced pluripotent stem cells(iPSCs)obtained through somatic cell reprogramming are not only capable of self-renewal,but also have multidirectional differentiation potential,which plays an important role in disease modeling and regenerative medicine. This paper reviewed the gene reprogramming technology,the disease models of iPSCs and the application prospects of iPSCs in childhood genetic diseases,so as to provide a reference for the application of iPSCs in the research of mechanism and treatment of various genetic diseases.

Advances and applications of quantitative systems pharmacology modeling and virtual clinical trials in modern drug development / 药学学报

Quantitative systems pharmacology (QSP) modeling is an emerging computational medicine approach with growing applications and significance in modern drug development. QSP models are generally formulated based on multiscale disease mechanisms and drug-target interactions, which makes them capable of integrating multimodal data from the preclinical and clinical space. This also enables them to generate quantitative characterization of the dynamic disease progression as well as high-throughput predictions of drug-induced efficacy and toxicity signals. Therefore, QSP modeling and model-based virtual clinical trials have been widely implemented to guide drug development, in scenarios such as target identification and assessment, clinical trial design, evaluation of combination therapy and biomarkers, and personalized medicine. In US and Europe, QSP modeling has been developing rapidly in the past 10 years and is now an integral part of the model-informed drug development paradigm; however, in China it is still a nascent field. Here we will present a comprehensive review of the recent advancements of QSP and its impact in modern drug development through a number of case studies. This review will provide guidance for the future drug development efforts and the growth of QSP practice in China.

The Effect of Eating Alone and Eating with Familiar or Unfamiliar Others on Food Intake: A Systematic Review

@#Aims and Design: Individuals’ food intake may vary depending on their situation and with whom they are having their meal. Thus this systematic review aimed to compare the effect of social facilitation between eating alone and eating with others, and evaluate the social modeling effect when eating with familiar or unfamiliar others, on food intake. Data Sources: Articles were screened and reviewed based on titles, abstracts and keywords. Inclusion criteria included experimental design, English language, open-accessed, and published from 1980 until the review was conducted in 2018. Review Methods: Using the PRISMA method, potential studies were identified on Science Direct, ProQuest, PubMed, Scopus, and BASE databases using two different keywords combinations. Results: Seventeen studies were included. For social facilitation, seven studies found that food intake increases when eating alone while five others stated it would increase when eating with others. One study suggested that it increases in both situations. For social modeling of food intake, two studies found that it commonly occurs when an individual eats in the presence of unfamiliar others, while one study reported that it happens more often with familiar others. Two other studies observed that social modeling occurs in both situations. Conclusion and Impact: Food intake tends to increase when eating alone than eating with others while the presence of familiar or unfamiliar others may either increase or limit an individual’s food consumption to socially match their co-eaters’ intake. Thus, good self-control is crucial for setting a dietary limit regardless of whether ones are eating alone or with familiar or unfamiliar others.

A new target for improving osteoporosis with eldecalcitol—Mini-modeling bone formation / 中华内分泌代谢杂志

As a basic anti-osteoporosis drug, active vitamin D mainly promotes intestinal absorption of calcium and phosphorus, inhibits the release of parathyroid hormone, and maintains normal blood calcium and phosphorus levels, thus ensuring bone health. Eldecalcitol(ED-71), a novel derivative of active vitamin D, was approved for clinical treatment of osteoporosis in Japan in 2011. Eldecalcitol not only improves intestinal calcium absorption and inhibits osteoclast differentiation, but also effectively promotes "mini-modeling" bone formation-focal bone formation that is independent of osteoclastic bone resorption, elevating trabecular continuity and increasing the thickness of weak trabeculae, thereby repairing the microinjury of bone tissue.

Research progress and application of rodents model construction of peri-implantitis / 口腔医学

@#With the increasing popularity of dental implants, prevalence of peri-implantitishas also been increasing in recent years. However, a deeper understanding of the pathogenesis of peri-implantitis is still lacking. Animal models are a good bridge for studying the pathogenesis of clinical diseases. Animals such as mini-pigs, canines, non-human primates and rodents are used to construct animal models of peri-implantitis. Among them, rodents are easy to obtain and feed, and have a wide range of applications for research. In this review, we summarize the construction of rodent modelswithperi-implantitis as well as the research progress and applications.

Animal Modeling of Diabetic Nephropathy：A Study Based on Literature / 中国实验方剂学杂志

ObjectiveTo summarize the modeling elements， evaluation indicators， characteristics， and drawbacks of the animal models of diabetic nephropathy， and thus provide guidance for the standardized modeling and rational application of these models. MethodThe articles about the animal experiments of diabetic nephropathy published in the last decade were retrieved from China National Knowledge Infrastructure， Wanfang Data， and PubMed. The data of animal species， sex， modeling techniques， modeling criteria， and evaluation indicators were analyzed in Excel. ResultA total of 287 publications were included in this study. Male SD rats were mainly used for the modeling of diabetic nephropathy. The animal models of type 1 diabetes were mainly established by intraperitoneal injection of streptozotocin （STZ） at 60-69 mg·kg-1 once or 50 mg·kg-1 for 5 continuous days， and those of type 2 diabetes by intraperitoneal injection of STZ at 30-39 mg·kg-1 once or 30 mg·kg-1 for 2 continuous days combined with 4 weeks of high-fat and high-sugar diet. Blood glucose and 24-hour urine protein were mainly used to determine whether the modeling was successful. The evaluation indicators of the animal models mainly included basic indicators， glucose and lipid metabolism indicators， and renal function indicators. ConclusionAnimal models are commonly used in the research on diabetic nephropathy， while there is no unified standards for the preparation or evaluation of the animal models. Moreover， Chinese medicine is rarely considered in the modeling. Through literature review and data analysis， this paper summarizes the modeling elements and standards， key evaluation indicators， characteristics， and shortcomings， aiming to build the animal models of diabetic nephropathy with a high success rate and with the characteristics in line with the clinical pathogenesis and syndromes.