[Factors associated with left ventricular diastolic dysfunction in adults from a region of the Andes in Peru]. / Factores asociados con la disfunción diastólica del ventrículo izquierdo en adultos de una región de los Andes en Perú.

Objective: To determine the factors associated with left ventricular diastolic dysfunction (LVDD) in adults residing in a region of the Andes in Peru. Method: A case-control study was conducted on adults living at an altitude of more than 3000 meters in Peru. Cases consisted of patients diagnosed with LVDD through echocardiography, whereas controls were adults without LVDD, as confirmed by echocardiography. Results: A total of 50 cases and 100 controls were included in the study. Among them, 38.7% had high blood pressure, and 41.3% were overweight. Upon adjusted analysis, age 60 or older (aOR: 4.06; 95%CI: 1.29-12.8), female sex (aOR: 2.24; 95%CI: 1.01-4.96) and left ventricular hypertrophy (aOR: 3.17; 95%CI: 1.41-7.17) were identified as statistically significant factors associated with LVDD. Conclusions: The risk of LVDD is associated with older adults, female gender, and left ventricular hypertrophy among individuals residing above 3000 meters altitude in a region of the Andes, in Peru.

Objetivo: Determinar los factores asociados con la disfunción diastólica del ventrículo izquierdo (DDVI) en adultos de una región de los Andes, en Perú. Método: Estudio de casos y controles en adultos residentes a más de 3000 metros de altitud en Perú. Los casos fueron pacientes adultos diagnosticados con DDVI por ecocardiografía, y los controles fueron adultos sin DDVI por ecocardiografía. Resultados: Se incluyeron 50 casos y 100 controles. El 38.7% tuvieron hipertensión arterial y el 41.3% sobrepeso. En el análisis ajustado, la edad de 60 o más años (ORa: 4.06; IC95%: 1.29-12.8), el sexo femenino (ORa: 2.24; IC95%: 1.01-4.96) y la hipertrofia ventricular izquierda (ORa: 3.17; IC95%: 1.41-7.17) fueron factores estadísticamente significativos. Conclusiones: El riesgo de DDVI estuvo asociado a los adultos mayores, las mujeres y los pacientes con hipertrofia ventricular izquierda que viven por encima de los 3000 metros de altitud en una región de los Andes, en Perú.

The History of Agrobacterium Rhizogenes: From Pathogen to a Multitasking Platform for Biotechnology.

Agrobacterium's journey has been a roller coaster, from being a pathogen to becoming a powerful biotechnological tool. While A. tumefaciens has provided the scientific community with a versatile tool for plant transformation, Agrobacterium rhizogenes has given researchers a Swiss army knife for developing many applications. These applications range from a methodology to regenerate plants, often recalcitrant, to establish bioremediation protocols to a valuable system to produce secondary metabolites. This chapter reviews its discovery, biology, controversies over its nomenclature, and some of the multiple applications developed using A. rhizogenes as a platform.

Plant Micropropagation and Temporary Immersion Systems.

Temporary immersion systems (TIS) have been widely recognized as a promising technology for micropropagation of various plant species. The TIS provides a suitable environment for culture and allows intermittent contact of the explant with the culture medium at different immersion frequencies and aeration of the culture in each cycle. The frequency or immersion is one of the most critical parameters for the efficiency of these systems. The design, media volume, and container capacity substantially improve cultivation efficiency. Different TIS have been developed and successfully applied to micropropagation in various in vitro systems, such as sprout proliferation, microcuttings, and somatic embryos. TIS increases multiplication and conversion rates to plants and a better response during the ex vitro acclimatization phase. This article covers the use of different immersion systems and their applications in plant biotechnology, particularly in plant tissue culture, as well as its use in the massive propagation of plants of agroeconomic interest.

Scale-Up of Coffea canephora Somatic Embryogenesis in Temporary Immersion System.

Somatic embryogenesis (SE) is a clear example of cellular totipotency. The SE of the genus Coffea has become a model for in vitro propagation for woody species and for the large-scale production of disease-free plants that provide an advantage for modern agriculture. Temporary immersion systems (TIS) are in high demand for the propagation of plants. The success of this type of bioreactor is based on the alternating cycles of immersion of the plant material in the culture medium, usually a few minutes, and the permanence outside the medium of the tissues for several hours. Some bioreactors are very efficient for propagating one species but not another. The efficiency of bioreactors depends on the species, the tissue used to propagate, the species' nutritional needs, the amount of ethylene produced by the tissue, and many more. In this protocol, we show how we produce C. canephora plants that are being taken to the field.

Monkeypox virus infections in low-risk groups during the 2022-23 global outbreak: An analysis of the WHO global report.

Introduction: In the 2022-23 Mpox outbreak, cases also occurred in children, adolescents, and adults aged 50 years and older, for whom the risk of transmission is low and whose epidemiological characteristics are less known, compared to high-risk groups such as young adults. Here we describe the epidemiological characteristics of Mpox in children, adolescents and adults aged 50 years and older in the global Mpox outbreak. Methods: A retrospective study on laboratory-confirmed surveillance data of Mpox cases reported to World Health Organization (WHO) was conducted. Case data from WHO's 2022-23 Mpox Outbreak: Global Trends from 1 January 2022 to 1 September 2023 was used for our analysis. We included cases reported by WHO with data on age (children [range, 0 to 9 years], adolescents [range, 10 to 17 years], adults 50 to 59 years, and adults 60 years and older), gender, WHO region, hospital admission, and intensive care unit admission. Results: Until September 01, 2023, data from 89,752 cases of Mpox have been reported to WHO. Of all the reported cases, 1124 (1.3%), 6296 (7.0%) and 1501 (1.6%) were children and adolescents, adults aged 50-59 years, and adults aged 60 years or older, respectively, and the proportion varied among WHO regions. There was a high proportion of cases among population aged 0-17 years, adolescents (256 [66.3%]) from the region of the Americas and girls aged 0-9 years [127 (46.7%)] from the African region. Men aged 50-59 years (3495 [57.2%] vs. 2553 [41.8%] cases from the region of the Americas and the European region, respectively) and men aged 60-69 years (639 [60.0%] vs. 607 [48.4%] from the region of the Americas and the European region) were most affected, compared to other age groups and women. Among children, adolescents, and adults aged 50 years or older, a low proportion of cases developed some complications and required hospital admission, and some cases were admitted to the intensive care unit. Conclusions: Epidemiological evidence of Mpox in these low-risk groups highlights the risk of wider community transmission. Therefore, while efforts continue to control the global outbreak of Mpox in high-risk groups, it is also necessary to ensure that these low-risk groups have access to timely health care and vaccination.

A Collaborative Platform for Advancing Automatic Interpretation in ECG Signals.

Numerous papers report the efficiency of the automatic interpretation capabilities of commercial algorithms. Unfortunately, these algorithms are proprietary, and academia has no means of directly contributing to these results. In fact, nothing at the same stage of development exists in academia. Despite the extensive research in ECG signal processing, from signal conditioning to expert systems, a cohesive single application for clinical use is not ready yet. This is due to a serious lack of coordination in the academic efforts, which involve not only algorithms for signal processing, but also the signal acquisition equipment itself. For instance, the different sampling rates and the different noise levels frequently found in the available signal databases can cause severe incompatibility problems when the integration of different algorithms is desired. Therefore, this work aims to solve this incompatibility problem by providing the academic community with a diagnostic-grade electrocardiograph. The intention is to create a new standardized ECG signals database in order to address the automatic interpretation problem and create an electrocardiography system that can fully assist clinical practitioners, as the proprietary systems do. Achieving this objective is expected through an open and coordinated collaboration platform for which a webpage has already been created.

Neo-functionalization in Saccharomyces cerevisiae: a novel Nrg1-Rtg3 chimeric transcriptional modulator is essential to maintain mitochondrial DNA integrity.

In Saccharomyces cerevisiae, the transcriptional repressor Nrg1 (Negative Regulator of Glucose-repressed genes) and the ß-Zip transcription factor Rtg3 (ReTroGrade regulation) mediate glucose repression and signalling from the mitochondria to the nucleus, respectively. Here, we show a novel function of these two proteins, in which alanine promotes the formation of a chimeric Nrg1/Rtg3 regulator that represses the ALT2 gene (encoding an alanine transaminase paralog of unknown function). An NRG1/NRG2 paralogous pair, resulting from a post-wide genome small-scale duplication event, is present in the Saccharomyces genus. Neo-functionalization of only one paralog resulted in the ability of Nrg1 to interact with Rtg3. Both nrg1Δ and rtg3Δ single mutant strains were unable to use ethanol and showed a typical petite (small) phenotype on glucose. Neither of the wild-type genes complemented the petite phenotype, suggesting irreversible mitochondrial DNA damage in these mutants. Neither nrg1Δ nor rtg3Δ mutant strains expressed genes encoded by any of the five polycistronic units transcribed from mitochondrial DNA in S. cerevisiae. This, and the direct measurement of the mitochondrial DNA gene complement, confirmed that irreversible damage of the mitochondrial DNA occurred in both mutant strains, which is consistent with the essential role of the chimeric Nrg1/Rtg3 regulator in mitochondrial DNA maintenance.

Physical Exertion Recognition Using Surface Electromyography and Inertial Measurements for Occupational Ergonomics.

By observing the actions taken by operators, it is possible to determine the risk level of a work task. One method for achieving this is the recognition of human activity using biosignals and inertial measurements provided to a machine learning algorithm performing such recognition. The aim of this research is to propose a method to automatically recognize physical exertion and reduce noise as much as possible towards the automation of the Job Strain Index (JSI) assessment by using a motion capture wearable device (MindRove armband) and training a quadratic support vector machine (QSVM) model, which is responsible for predicting the exertion depending on the patterns identified. The highest accuracy of the QSVM model was 95.7%, which was achieved by filtering the data, removing outliers and offsets, and performing zero calibration; in addition, EMG signals were normalized. It was determined that, given the job strain index's purpose, physical exertion detection is crucial to computing its intensity in future work.

In Vitro Conversion of Coffea spp. Somatic Embryos in SETIS™ Bioreactor System.

Somatic embryogenesis (SE) is an excellent example of mass plant propagation. Due to its genetic variability and low somaclonal variation, coffee SE has become a model for in vitro propagation of woody species, as well as for large-scale production of vigorous plants that are advantageous to modern agriculture. The success of the large-scale propagation of an embryogenic system is dependent on the development, optimization, and transfer of complementary system technologies. In this study, two successful SE systems were combined with a SETIS™ bioreactor immersion system to develop an efficient and cost-effective approach for the in vitro development of somatic embryos of Coffea spp. This study used an efficient protocol for obtaining somatic embryos, utilizing direct and indirect SE for both C. canephora and C. arabica. Embryos in the cotyledonary stage were deposited in a bioreactor to complete their stage of development from embryo to plant with minimal manipulation. Following ten weeks of cultivation in the bioreactor, complete and vigorous plants were obtained. Different parameters such as fresh weight, length, number of leaves, and root length, as well as stomatal index and relative water content, were recorded. In addition, the survival rate and ex vitro development of plantlets during acclimatization was assessed. The best substrate combination was garden soil (GS), peat moss (PM), and agrolite (A) in a 1:1:0.5 ratio, in which the bioreactor-regenerated plants showed an acclimatization rate greater than 90%. This is the first report on the use of SETIS™ bioreactors for the in vitro development of somatic embryos in Coffea spp., providing a technology that could be utilized for the commercial in vitro propagation of coffee plants. A link between research and innovation is necessary to establish means of communication that facilitate technology transfer. This protocol can serve as a basis for the generation and scaling of different species of agroeconomic importance. However, other bottlenecks in the production chains and the field must be addressed.

Clinical Heterogeneity and Different Phenotypes in Patients with SETD2 Variants: 18 New Patients and Review of the Literature.

SETD2 belongs to the family of histone methyltransferase proteins and has been associated with three nosologically distinct entities with different clinical and molecular features: Luscan-Lumish syndrome (LLS), intellectual developmental disorder, autosomal dominant 70 (MRD70), and Rabin-Pappas syndrome (RAPAS). LLS [MIM #616831] is an overgrowth disorder with multisystem involvement including intellectual disability, speech delay, autism spectrum disorder (ASD), macrocephaly, tall stature, and motor delay. RAPAS [MIM #6201551] is a recently reported multisystemic disorder characterized by severely impaired global and intellectual development, hypotonia, feeding difficulties with failure to thrive, microcephaly, and dysmorphic facial features. Other neurologic findings may include seizures, hearing loss, ophthalmologic defects, and brain imaging abnormalities. There is variable involvement of other organ systems, including skeletal, genitourinary, cardiac, and potentially endocrine. Three patients who carried the missense variant p.Arg1740Gln in SETD2 were reported with a moderately impaired intellectual disability, speech difficulties, and behavioral abnormalities. More variable findings included hypotonia and dysmorphic features. Due to the differences with the two previous phenotypes, this association was then named intellectual developmental disorder, autosomal dominant 70 [MIM 620157]. These three disorders seem to be allelic and are caused either by loss-of-function, gain-of-function, or missense variants in the SETD2 gene. Here we describe 18 new patients with variants in SETD2, most of them with the LLS phenotype, and reviewed 33 additional patients with variants in SETD2 that have been previously reported in the scientific literature. This article offers an expansion of the number of reported individuals with LLS and highlights the clinical features and the similarities and differences among the three phenotypes associated with SETD2.

Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile.

Most crowding measures in public transportation are usually aggregated at a service level. This type of aggregation does not help to analyze microscopic behavior such as exposure risk to viruses. To bridge such a gap, our paper proposes four novel crowding measures that might be well suited to proxy virus exposure risk at public transport. In addition, we conduct a case study in Santiago, Chile, using smart card data of the buses system to compute the proposed measures for three different and relevant periods of the COVID-19 pandemic: before, during, and after Santiago's lockdown. We find that the governmental policies diminished public transport crowding considerably for the lockdown phase. The average exposure time when social distancing is not possible passes from 6.39 min before lockdown to 0.03 min during the lockdown, while the average number of encountered persons passes from 43.33 to 5.89. We shed light on how the pandemic impacts differ across various population groups in society. Our findings suggest that poorer municipalities returned faster to crowding levels similar to those before the pandemic.

Interlaboratory Reproducibility in Growth and Reporter Expression in the Cyanobacterium Synechocystis sp. PCC 6803.

In recent years, a plethora of new synthetic biology tools for use in cyanobacteria have been published; however, their reported characterizations often cannot be reproduced, greatly limiting the comparability of results and hindering their applicability. In this interlaboratory study, the reproducibility of a standard microbiological experiment for the cyanobacterial model organism Synechocystis sp. PCC 6803 was assessed. Participants from eight different laboratories quantified the fluorescence intensity of mVENUS as a proxy for the transcription activity of the three promoters PJ23100, PrhaBAD, and PpetE over time. In addition, growth rates were measured to compare growth conditions between laboratories. By establishing strict and standardized laboratory protocols, reflecting frequently reported methods, we aimed to identify issues with state-of-the-art procedures and assess their effect on reproducibility. Significant differences in spectrophotometer measurements across laboratories from identical samples were found, suggesting that commonly used reporting practices of optical density values need to be supplemented by cell count or biomass measurements. Further, despite standardized light intensity in the incubators, significantly different growth rates between incubators used in this study were observed, highlighting the need for additional reporting requirements of growth conditions for phototrophic organisms beyond the light intensity and CO2 supply. Despite the use of a regulatory system orthogonal to Synechocystis sp. PCC 6803, PrhaBAD, and a high level of protocol standardization, ∼32% variation in promoter activity under induced conditions was found across laboratories, suggesting that the reproducibility of other data in the field of cyanobacteria might be affected similarly.

Displaying pride: Variation by social context, ethnic heritage, and gender?

Pride is universal; however, the complexities linked to its social status functions and implications for social relationships suggest the possibility of variation in its display. Drawing from empirical evidence, this study examined whether displayed pride would vary by social context (i.e., whether the target was a competitor or a loved one), ethnic heritage (i.e., membership in individualistic or collectivistic cultural groups) and by gender. Young adults (N = 145) verbally described a pride experience to an imagined competitor, loved one, stranger or in a no-context control condition. Results showed similarity in displayed pride across the four contexts. However, some ethnic group and gender variations were observed. Latino/a/x Americans displayed less pride verbally than European Americans while women displayed more than men. These findings contribute to a better understanding of how people manage the display of pride and suggest that ethnic and gendered motivations for managing pride displays are relevant to a comprehensive understanding of interpersonal emotion regulation.

Well-being: Strengthening and Broadening a Key Psychological Construct.

Park et al.'s (2022) goal of bringing conceptual clarity to the study of psychological aspects of well-being is a good one. We consider their work in terms of its implications for moving towards an understanding of well-being that reflects the full spectrum of human experience, especially the experience of people who remain underrepresented, and poorly accounted for, in psychological science. In our view, there is reason to think that strengthening existing frameworks and broadening in terms of methodologies will be most productive for developing a comprehensive and inclusive understanding of well-being. We describe the distinct strength of the subjective well-being (SWB) construct for this purpose and offer two empirical examples that highlight the value of multiple measures and methods for understanding well-being. We suggest that continued use of the SWB measure, combined with state-of-the-art emotion measurement, and a mix of qualitative and quantitative methodologies be recommended as the way forward.

Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop.

This workshop summary on natural language processing (NLP) markers for psychosis and other psychiatric disorders presents some of the clinical and research issues that NLP markers might address and some of the activities needed to move in that direction. We propose that the optimal development of NLP markers would occur in the context of research efforts to map out the underlying mechanisms of psychosis and other disorders. In this workshop, we identified some of the challenges to be addressed in developing and implementing NLP markers-based Clinical Decision Support Systems (CDSSs) in psychiatric practice, especially with respect to psychosis. Of note, a CDSS is meant to enhance decision-making by clinicians by providing additional relevant information primarily through software (although CDSSs are not without risks). In psychiatry, a field that relies on subjective clinical ratings that condense rich temporal behavioral information, the inclusion of computational quantitative NLP markers can plausibly lead to operationalized decision models in place of idiosyncratic ones, although ethical issues must always be paramount.

Syntactic Network Analysis in Schizophrenia-Spectrum Disorders.

BACKGROUND: Language anomalies are a hallmark feature of schizophrenia-spectrum disorders (SSD). Here, we used network analysis to examine possible differences in syntactic relations between patients with SSD and healthy controls. Moreover, we assessed their relationship with sociodemographic factors, psychotic symptoms, and cognitive functioning, and we evaluated whether the quantification of syntactic network measures has diagnostic value. STUDY DESIGN: Using a semi-structured interview, we collected speech samples from 63 patients with SSD and 63 controls. Per sentence, a syntactic representation (ie, parse tree) was obtained and used as input for network analysis. The resulting syntactic networks were analyzed for 11 local and global network measures, which were compared between groups using multivariate analysis of covariance, considering the effects of age, sex, and education. RESULTS: Patients with SSD and controls significantly differed on most syntactic network measures. Sex had a significant effect on syntactic measures, and there was a significant interaction between sex and group, as the anomalies in syntactic relations were most pronounced in women with SSD. Syntactic measures were correlated with negative symptoms (Positive and Negative Syndrome Scale) and cognition (Brief Assessment of Cognition in Schizophrenia). A random forest classifier based on the best set of network features distinguished patients from controls with 74% cross-validated accuracy. CONCLUSIONS: Examining syntactic relations from a network perspective revealed robust differences between patients with SSD and healthy controls, especially in women. Our results support the validity of linguistic network analysis in SSD and have the potential to be used in combination with other automated language measures as a marker for SSD.

Language abnormalities in schizophrenia: binding core symptoms through contemporary empirical evidence.

Both the ability to speak and to infer complex linguistic messages from sounds have been claimed as uniquely human phenomena. In schizophrenia, formal thought disorder (FTD) and auditory verbal hallucinations (AVHs) are manifestations respectively relating to concrete disruptions of those abilities. From an evolutionary perspective, Crow (1997) proposed that "schizophrenia is the price that Homo sapiens pays for the faculty of language". Epidemiological and experimental evidence points to an overlap between FTD and AVHs, yet a thorough investigation examining their shared neural mechanism in schizophrenia is lacking. In this review, we synthesize observations from three key domains. First, neuroanatomical evidence indicates substantial shared abnormalities in language-processing regions between FTD and AVHs, even in the early phases of schizophrenia. Second, neurochemical studies point to a glutamate-related dysfunction in these language-processing brain regions, contributing to verbal production deficits. Third, genetic findings further show how genes that overlap between schizophrenia and language disorders influence neurodevelopment and neurotransmission. We argue that these observations converge into the possibility that a glutamatergic dysfunction in language-processing brain regions might be a shared neural basis of both FTD and AVHs. Investigations of language pathology in schizophrenia could facilitate the development of diagnostic tools and treatments, so we call for multilevel confirmatory analyses focused on modulations of the language network as a therapeutic goal in schizophrenia.

El destino de los artículos originales rechazados. Análisis en una revista de salud pública en Latinoamérica

Introducción: Las investigaciones publicadas en revistas científicas permiten generar evidencias para la toma de decisiones. Sin embargo, el destino de las investigaciones que se reciben en una revista científica no siempre es su publicación. Objetivo: Determinar el destino de los artículos originales que fueron rechazados en la Revista Peruana de Medicina Experimental y Salud Pública (RPMESP) durante 2014 y 2015 y los factores asociados a su publicación. Materiales y métodos: Durante junio y julio del 2019 se realizó una búsqueda en Google Académico de los artículos originales que fueron rechazados en la RPMESP, se evaluaron como variables independientes el género, la procedencia y el grado académico del autor corresponsal, además si el rechazó fue realizado por el comité editor o luego de ser revisado por pares. Para determinar los factores asociados se calcularon riesgos relativos bivariados (RR) y multivariados (RRa) con intervalos de confianza al 95% (IC 95%) utilizando un modelo de regresión de Poisson simple y múltiple. Resultados: De 285 artículos originales rechazados el 45,6% tuvo como destino su publicación en otras revistas científicas de las cuales el 61,5% fueron revistas del extranjero, los autores corresponsales con filiación extranjera (RRa 1,34, IC 95%: 1,02-1,77) y estudiantes de pregrado (RRa 1,56, IC 95%: 1,12-2,17) incrementaron la probabilidad de publicación, pero disminuyó si el rechazo fue luego de la revisión por pares (RRa 0,71, IC 95%: 0,52-0,97). Conclusiones: Menos de la mitad de los artículos originales que fueron rechazados tuvo como destino su publicación en otra revista científica. Los autores deben analizar los motivos del rechazo y continuar con el proceso de publicación.

Introduction: Research published in scientific journals allows generating evidence for decision making. However, the destination of the research received in a scientific journal is not always its publication. Objective: To determine the destination of the original articles that were rejected in the Peruvian Journal of Experimental Medicine and Public Health (RPMESP) during 2014 and 2015 and the factors associated with their publication. Materials and methods: During June and July 2019, a Google Scholar search was carried out for the original articles that were rejected in the RPMESP, the gender, origin and academic degree of the corresponding author were evaluated as independent variables, in addition to whether he rejected was made by the editorial committee or after being reviewed by peers. To determine the associated factors, bivariate (RR) and multivariate (RRa) relative risks were calculated with 95% confidence intervals (95% CI) using a simple and multiple Poisson regression model. Results: Of 285 original articles rejected, 45.6% were destined for publication in other scientific journals, of which 61.5% were foreign journals, the corresponding authors with foreign affiliation (RRa 1.34, CI 95%: 1.02-1.77) and undergraduate students (RRa 1.56, 95% CI: 1.12-2.17) increased the probability of publication, but it decreased if the rejection was after peer review (RRa 0.71, 95% CI: 0.52-0.97). Conclusions: Less than half of the original articles that were rejected were destined for publication in another scientific journal. The authors must analyze the reasons for the rejection and continue with the publication process.

Más que palabras: Understanding the mental health and behavioral consequences of sociodemographic risk and deportation fears in Latinx families.

OBJECTIVE: Exponential increases in deportation and negative public discourse have resulted in heightened fears of profiling and deportation among Latinx immigrant families in the United States. Deportation fears could compound the inequalities Latinx families face, worsening mental and behavioral health. To better understand the mental health consequences of the climate of deportation concerns among low-income Latinx mothers in the United States, we conducted a linguistic analysis of interviews of Latinx mothers' parenting experiences, examining their use of words related to deportation fears (e.g., separado). We examined the interaction of sociodemographic risk with maternal deportation fears in predicting maternal and youth mental health. METHOD: Recent immigrant Latinx mothers (N = 160) and youth (Mage = 12.88, SDage = 1.73) completed the Parent Development Interview-Revised (Slade et al., 2004), analyzed using a deportation fears custom dictionary (Linguistic Inquiry and Word Count; Pennebaker et al., 2003). Mothers completed the Brief Symptom Inventory (Derogatis, 2001); youth completed the Youth Self-Report (Achenbach, 1991). Cumulative sociodemographic risk was assessed using a composite score of six risk variables. RESULTS: Regressions revealed significant Sociodemographic Risk × Deportation Fear interactions for maternal depression (p = .01) and youth depression (p < .01) but not for maternal anxiety, youth anxiety, or aggression. As sociodemographic risk increased, associations between deportation fears and psychopathology decreased. CONCLUSIONS: The adverse impact of maternal deportation fears on mental health is visible only when demographic stress is lower. Deportation fears may increase mental health risk, potentially reducing treatment seeking among families previously at lower risk. Findings underscore the importance of policy and sociocultural shifts. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Optimized Random Forest for Solar Radiation Prediction Using Sunshine Hours.

Knowing exactly how much solar radiation reaches a particular area is helpful when planning solar energy installations. In recent years the use of renewable energies, especially those related to photovoltaic systems, has had an impressive up-tendency. Therefore, mechanisms that allow us to predict solar radiation are essential. This work aims to present results for predicting solar radiation using optimization with the Random Forest (RF) algorithm. Moreover, it compares the obtained results with other machine learning models. The conducted analysis is performed in Queretaro, Mexico, which has both direct solar radiation and suitable weather conditions more than three quarters of the year. The results show an effective improvement when optimizing the hyperparameters of the RF and Adaboost models, with an improvement of 95.98% accuracy compared to conventional methods such as linear regression, with 54.19%, or recurrent networks, with 53.96%, without increasing the computational time and performance requirements to obtain the prediction. The analysis was successfully repeated in two different scenarios for periods in 2020 and 2021 in Juriquilla. The developed method provides robust performance with similar results, confirming the validity and effectiveness of our approach.