MelastomaTRAITs 1.0: A database of functional traits in Melastomataceae, a large pantropical angiosperm family.

The recent availability of open-access repositories of functional traits has revolutionized trait-based approaches in ecology and evolution. Nevertheless, the underrepresentation of tropical regions and lineages remains a pervasive bias in plant functional trait databases, which constrains large-scale assessments of plant ecology, evolution, and biogeography. Here, we present MelastomaTRAITs 1.0, a comprehensive and updatable database of functional traits for the pantropical Melastomataceae, the ninth-largest angiosperm family with 177 genera and more than 5800 species. Melastomataceae encompass species with a wide diversity of growth forms (herbs, shrubs, trees, epiphytes, and woody climbers), habitats (including tropical forests, savannas, grasslands, and wetlands from sea level to montane areas above the treeline), ecological strategies (from pioneer, edge-adapted and invasive species to shade-tolerant understory species), geographic distribution (from microendemic to continental-wide distribution), reproductive, pollination, and seed dispersal systems. MelastomaTRAITs builds on 581 references, such as taxonomic monographs, ecological research, and unpublished data, and includes four whole-plant traits, six leaf traits, 11 flower traits, 18 fruit traits, and 27 seed traits for 2520 species distributed in 144 genera across all 21 tribes. Most data come from the Neotropics where the family is most species-rich. Miconieae (the largest tribe) contains the highest number of trait records (49.6%) and species (41.1%) records. The trait types with the most information in the database were whole-plant traits, flowers, and leaf traits. With the breadth of functional traits recorded, our database helps to fill a gap in information for tropical plants and will significantly improve our capacity for large-scale trait-based syntheses across levels of organization, plant-animal interactions, regeneration ecology, and thereby support conservation and restoration programs. There are no copyright restrictions on the dataset; please cite this data paper when reusing the data.

The occurrence of emerging compounds in real urban wastewater before and after the COVID-19 pandemic in Cali, Colombia.

The COVID-19 pandemic is considered one of the most significant global disasters in the last years. The rapid increase in infections, deaths, treatment, and the vaccination process has resulted in the excessive use of pharmaceuticals that have entered the environment as micropollutants. Considering the prior information about the presence of pharmaceuticals found in the wastewater of Cali, Colombia, which was collected from 2015 to 2022. The data monitored after the COVID-19 pandemic showed an increase in the concentration of analgesics and anti-inflammatory drugs of up to 91%. This increase was associated with the consumption of pharmaceuticals for mild symptoms, such as fever and pain. Moreover, the increase in concentration of pharmaceuticals poses a highly ecological threat, which was up to 14 times higher than that reported before of COVID-19 pandemic. These results showed that the COVID-19 had not only impacted human health but also had an effect on environmental health.

Rock n' Seeds: A database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation.

Advancing functional ecology depends fundamentally on the availability of data on reproductive traits, including those from tropical plants, which have been historically underrepresented in global trait databases. Although some valuable databases have been created recently, they are mainly restricted to temperate areas and vegetative traits such as leaf and wood traits. Here, we present Rock n' Seeds, a database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation, recognized as outstanding centers of diversity and endemism. Data were compiled through a systematic literature search, resulting in 103 publications from which seed functional traits were extracted. The database includes information on 16 functional traits for 383 taxa from 148 genera, 50 families, and 25 orders. These 16 traits include two dispersal, six production, four morphological, two biophysical, and two germination traits-the major axes of the seed ecological spectrum. The database also provides raw data for 48 germination experiments, for a total of 10,187 records for 281 taxa. Germination experiments in the database assessed the effect of a wide range of abiotic and biotic factors on germination and different dormancy-breaking treatments. Notably, 8255 of these records include daily germination counts. This input will facilitate synthesizing germination data and using this database for a myriad of ecological questions. Given the variety of seed traits and the extensive germination information made available by this database, we expect it to be a valuable resource advancing comparative functional ecology and guiding seed-based restoration and biodiversity conservation in tropical megadiverse ecosystems. There are no copyright restrictions on the data; please cite this paper when using the current data in publications; also the authors would appreciate notification of how the data are used in publications.

O avanço da ecologia funcional depende fundamentalmente da disponibilidade de dados sobre traços reprodutivos, incluindo dados de plantas tropicais, que têm sido historicamente subrepresentados em bancos de dados de traços funcionais globais. Embora alguns bancos de dados valiosos tenham sido criados recentemente, eles são restritos principalmente a áreas temperadas e a traços vegetativos, como traços de folhas e madeira. Neste artigo apresentamos Rock n' Seeds, um banco de dados de traços funcionais de sementes e experimentos de germinação de vegetações associadas a afloramentos rochosos do Brasil, os quais são reconhecidos como centros notáveis de diversidade e endemismo. Os dados foram compilados através de uma revisão sistemática na literatura, resultando em 103 publicações das quais foram extraídos os traços funcionais das sementes. O banco de dados inclui informações de 16 traços funcionais para 383 taxa de 148 gêneros, 50 famílias e 25 ordens. Estes dezesseis traços incluem dois traços de dispersão, seis de produção, quatro morfológicos, dois biofísicos e dois germinativos; os eixos principais do espectro ecológico da semente. O banco de dados também fornece os dados brutos para 48 experimentos de germinação para um total de 10.187 registros para 281 taxa. Os experimentos de germinação no banco de dados avaliaram o efeito de uma ampla gama de fatores abióticos e bióticos sobre a germinação e diferentes tratamentos de quebra de dormência. Particularmente, 8.255 desses registros incluem a contagem diária da germinação. Estas informações facilitarão a síntese de dados de germinação e a utilização deste banco de dados para uma grande variedade de questões ecológicas. Dada a variedade de traços das sementes e as amplas informações sobre germinação disponibilizadas por este banco de dados, esperamos que ele seja um recurso valioso para o avanço da ecologia funcional comparativa e para orientar a restauração baseada em sementes e a conservação da biodiversidade em ecossistemas tropicais megadiversos. Não há restrições de direitos autorais sobre os dados; favor citar este artigo ao utilizar os dados nas publicações e os autores agradeceriam uma notificação de como os dados são utilizados nas publicações.

El avance de la ecología funcional depende fundamentalmente de la disponibilidad de datos sobre rasgos reproductivos-incluyendo los de las plantas tropicales-los cuales han estado poco representados en las bases de datos globales de rasgos. Aunque recientemente se han creado algunas bases de datos valiosas, estas se encuentran restringidas principalmente a las zonas templadas y a los rasgos vegetativos, como los de las hojas y la madera. En este artículo presentamos Rock n' Seeds, una base de datos de rasgos funcionales de semillas y experimentos de germinación de la vegetación asociada a afloramientos rocosos de Brasil, los cuales son destacados centros de diversidad y endemismo. Los datos se recopilaron mediante una búsqueda bibliográfica sistemática, que dio como resultado 103 publicaciones de las que se extrajeron los rasgos funcionales de las semillas. La base de datos incluye información de dieciséis rasgos funcionales para 383 taxones de 148 géneros, 50 familias y 25 órdenes. Estos rasgos incluyen dos rasgos de dispersión, seis de producción, cuatro morfológicos, dos biofísicos y dos de germinación; siendo estos los principales ejes del espectro ecológico de las semillas. La base de datos también proporciona los datos brutos de 48 experimentos de germinación, para un total de 10.187 registros de 281 taxones. Dichos experimentos de germinación evaluaron el efecto de una amplia gama de factores abióticos y bióticos sobre la germinación y de diferentes tratamientos para romper la dormancia. En particular, 8.255 de estos registros cuentan con conteos diarios de germinación. Esto facilitará la síntesis de los datos de germinación y el uso de esta base de datos para una gran diversidad de preguntas ecológicas. Dada la variedad de rasgos de las semillas y la amplia información sobre germinación que ofrece esta base de datos, esperamos que sea un recurso valioso para el avance de la ecología funcional comparativa y para orientar la restauración basada en semillas y la conservación de la biodiversidad en ecosistemas tropicales megadiversos. No hay restricciones de derechos de autor sobre los datos; se solicita citar este documento cuando se utilicen los datos en publicaciones y los autores agradecerán ser notificados sobre cómo se utilizan los datos en las publicaciones.

Machine learning for surgical time prediction.

BACKGROUND AND OBJECTIVE: Operating Rooms (ORs) are among the most expensive services in hospitals. A challenge to optimize the OR efficiency is to improve the surgery scheduling task, which requires the estimation of surgical time duration. Surgeons or programming units (based on people's experience) typically do the duration estimation using an experience-based strategy, which may include some bias, such as overestimating the surgery time, increasing ORs' operational cost. METHODS: This paper analyzes a machine learning-based solution for surgical time predictions. We apply and compare four machine-learning algorithms (Linear Regression, Support Vector Machines, Regression Trees, and Bagged Trees) to predict the surgical time duration at a tertiary referral university hospital in Bogotá, Colombia. Historical data from 2004 until 2019 was used to train the algorithms. Comparison among algorithms was given in terms of the Root Mean Square Error (RMSE) of the predicted surgery duration and the algorithms' computing time. The algorithm with the best performance was compared to the currently used experience-based method. RESULTS: All the ML algorithms predict the surgery duration with an error between 26 and 37 min. The best overall performance was obtained using Bagged Trees (26 min RMSE, 3.16 min training time, 0.49 min testing time) when using a subset of the DB with the nine specialties containing 80% of the surgeries. Bagged Trees also outperformed the experience-based method with a lower RMSE; however, it also shifted from a predominant overestimation to underestimating surgeries' duration. CONCLUSIONS: Different ML algorithms for predicting the surgical time duration, showing and comparing their performance. Bagged Trees showed the best performance in terms of RMSE and computing time. Depending on the initial data, Bagged Trees outperformed the experience-based method, but future work is necessary to suit it, like any other ML algorithm, to the hospitals' needs.

High-rate algal pond for removal of pharmaceutical compounds from urban domestic wastewater under tropical conditions. Case study: Santiago de Cali, Colombia.

This study evaluated the capacity of a pilot-scale high-rate algal pond (HRAP) to remove pharmaceutical compounds (PCs) from domestic wastewater in the city of Santiago de Cali, Colombia. The compounds analyzed included antiepileptics, hypolipidemic drugs, tranquilizers and analgesics, and anti-inflammatory drugs. The HRAP operated under a continuous water flow of 0.2 m3d-1 and a 3-day hydraulic retention time (HRT). Removal efficiencies were high (>70%) for fenofibric acid, ibuprofen, and paracetamol; medium (30-70%) for gabapentin, lamotrigine, fenofibrate, gemfibrozil, diclofenac, ketoprofen, naproxen, and pentoxifylline; and low (<30%) for carbamazepine and its metabolite 10,11-Dihidro-10,11-dihidroxicarbamazepine (CBZ-Diol). The findings herein are similar to other studies, but were obtained with a shorter HRT. These results show that tropical environmental conditions favor photodegradation and contribute to the development of microalgae and the biodegradation process. Twenty microalgae species were identified, with the phylum Chlorophyta as the most abundant, particularly due to its natural introduction. The removal of the PCs also reflected a percentage reduction (>50%) in the ecological hazard posed by most of the compounds, although it is important to note that the hazard from gemfibrozil and ibuprofen remained high even after treatment, indicating the need for complementary treatment.

Tratamiento de lixiviados utilizando humedales construidos y determinación de conductividades hidráulicas en clima tropical / Treatment of leachate using constructed wetlands and determination of hydraulic conductivities in a tropical climate

RESUMEN Los humedales construidos en los últimos años han sido ampliamente usados en la depuración de una gran variedad de aguas residuales, por ser una alternativa que ofrece múltiples ventajas, en comparación con otros sistemas de tratamiento. Este estudio evaluó la eficiencia de seis sistemas de humedales, construidos de flujo subsuperficial horizontal (HCFSSH), a escala piloto, para la remoción de materia orgánica (DQO), nutrientes (N-NO3-, P-PO43-) y plomo (Pb+2), además de la incidencia del tiempo de operación sobre la conductividad hidráulica (Ks) para tratar lixiviados del Relleno Sanitario "El Ojito", del municipio de Popayán, Cauca. Tres humedales fueron plantados con Heliconia psittacorum (HCFSSH-H. p) y tres con Cyperus haspan (HCFSSH-C. h); el medio de soporte utilizado fue grava, operados con un caudal de 0.012m3/día y un tiempo de retención hidráulico de 4 días; las unidades recibieron efluente de una laguna de oxidación. Los resultados mostraron remociones medias de: DQO (51,67 y 64,00%), N-NO3- (45,33 y 48,17%), P-PO43- (53,67 y 62,67%) y Pb+2 (5,74 y 14,75%) para los HCFSSH-H. p y HCFSSH-C. h, respectivamente y valores de conductividad hidráulica, entre 700 y 1000m/día. El sistema de humedales mostró ser eficiente para el tratamiento secundario de lixiviado de rellenos sanitarios maduros, obteniendo eficiencias de remoción, significativamente mayores, en los HCFSSH-C.h.

ABSTRACT In recent years, constructed wetlands have been widely used for the purification of wastewater, representing an alternative method that offers multiple advantages when compared to other treatment systems. The present study assessed the efficiency of six horizontal subsurface flow constructed wetlands (HSSFCW) at pilot scale for the removal of organic matter (COD), nutrients (N-NO3-, P-PO43-) and lead (Pb2+). The study also looked at the operating time on hydraulic conductivity (Ks) to treat leachate from the "El Ojito" Sanitary Landfill in the municipality of Popayán, Cauca. Three wetlands were planted with Heliconia psittacorum (HSSFCW-H. p), and three with Cyperus haspan (HSSFCW-C. h). The support medium used was gravel. They were operated at a flow of 0.012m3/day, and a hydraulic retention time of 4 days. The units received effluent from the oxidation pond. The results showed mean removals of COD (51.67 and 64.00%), N-NO3- (45.33 and 48.17%), P-PO43- (53.67 and 62.67%) and Pb+2 (5.74 and 14.75%) for HSSFCW-H. p and HSSFCW-C. h respectively. Hydraulic conductivity values were between 700 and 1000m/day. The wetland system proved to be efficient for the secondary treatment of leachate from mature landfills, obtaining removal efficiencies significantly higher in HSSFCW-C. h.

Study of the occurrence and ecosystem danger of selected endocrine disruptors in the urban water cycle of the city of Bogotá, Colombia.

Endocrine disruptors have been studied for their high occurrence in different environments including aquatic; however, in the context of developing countries, their occurrence, magnitude and potential threat have little information. This study involved the analysis of various components of the urban water cycle in the city of Bogotá, Colombia. As a result, it was found that the compounds with the highest occurrence are plasticizers such as phthalates and bisphenol A, whereas among the drugs, carbamazepine presented the highest concentrations (0.68-31.45 µg L-1); the analysis of the threat coefficient (HQ) showed the importance of bis(2-ethylhexyl) phthalate (BEHP) and estrone (E1) that can reach surface waters from domestic and industrial discharges.

Frecuencia de infección urinaria en lactantes con fiebre sin foco infeccioso evidente que consultan a la Unidad Vida Infantil de la Universidad de Antioquia del Hospital Francisco Valderrama, Turbo (Antioquia) / Frequency of urinary tract infections in febrile infants without evidence of an infectious source, from the clinic of the unidad vida infantil of the university of antioquia, hospital francisco valderrama, Turbo, Colombia

OBJETIVO: establecer la frecuencia de infección urinaria en lactantes febriles menores de dos años de edad atendidos en la Unidad Vida Infantil de la Universidad de Antioquia y en el Hospital Francisco Valderrama de Turbo Antioquia, entre el 1º de febrero de 2003 y el 31 de enero de 2004. MÉTODOS: se incluyeron cincuenta niños menores de 24 meses de edad con fiebre sin causa aparente, entendiéndose como tal una enfermedad febril aguda en la que no se encuentra la causa luego de anamnesis y examen físico cuidadosos. Se realizaron los siguientes exámenes de laboratorio: leucograma, sedimentación, tirilla en orina para detectar estearasa leucocitaria y nitritos, uroanálisis (UA) (leucocitos en orina por mm3), tinción de gram de una gota de orina sin centrifugar, uroanálisis microscópico (leucocitos y bacterias por campo de alto poder) y urocultivo cuantitativo (se consideró positivo cuando se encontraron más de 10.000 unidades formadoras de colonias, UFC, por ml). Todas las muestras de orina se obtuvieron por sonda vesical. Para cada una de las pruebas se determinó la sensibilidad, la especificidad y el valor predictivo positivo y negativo. RESULTADOS: la frecuencia de infección urinaria (crecimiento de más de 10.000 UFC de un patógeno urinario por ml) fue 10 por ciento. La edad promedio fue siete meses. La mayoría de los niños con infección urinaria tenía anorexia, irritabilidad, malestar general y vómito. Los parámetros de laboratorio más específicos fueron tinción de gram positiva (cualquier bacteria) y piuria (>10 leucocitos por campo de alto poder). Todas las infecciones urinarias fueron causadas por CONCLUSIONES: la infección urinaria es una causa frecuente de síndrome febril agudo sin causa aparente en lactantes, en Turbo, Antioquia. En tales casos, los médicos deben ordenar un UA (leucocitos y bacterias por campo de ato poder) y tinción de gram. Si los resultados de estas pruebas son positivas, debe hacerse urocultivo. En este estudio las cepas de Escherichia coli identificadas mostraron resistencia a antibióticos frecuentemente utilizados.

ABSTRACT BACKGROUND: in infants, it has been documented that urinary tract infections (UTI) are a common cause of the acute febrile syndrome without apparent source for the fever. According to the results of some research, the prevalence of UTI varies between 4% and 13%. In infants, especially those under the age of 2 years, UTI are associated with an increased incidence of vesicoureteral reflux and renal parenchymal involvement. Moreover, this group of patients with UTI require special attention in order to prevent renal scarring, hypertension and chronic renal failure. OBJECTIVE: to establish the prevalence rate of UTI in febrile infants under 24 months of age, admitted to the Vida Infantil" Department of the University of Antioquia and the Francisco Valderrama Hospital in Turbo, Antioquia, (Colombia), from February 1st, 2003 through January 31st, 2004. METHODS: a total of 50 children under 24 months of age who had been admitted to the aforementioned Department were enrolled in this prospective study. Patients had fever the cause of which was not definitely known. The following laboratory tests were performed: white blood cell total and differential count (WBC), erythrocyte sedimentation rate (ESR), urine dipstick tests for leukocyte esterase and nitrites, urinalysis (UA) (urine white blood cell count/mm3), gram stain in a drop of uncentrifuged urine, microscopic UA (white blood cells and bacteria per high-powered field), and quantitative urine culture (positive urine results were defined as ³104 colony-forming units of an urinary tract pathogen per mL). All urine specimens were obtained by urethral catheterization. Sensitivity, specificity, and accuracy likelihood ratios were determined for each one of the screening tests. RESULTS: overall prevalence of UTI (growth of >104 CFU of an urinary tract pathogen per mL) was 10%. Average age was 7 months. Most children with UTI had anorexia, irritability, general malaise, and vomiting. The most specific laboratory parameters were urine positive gram stain (any bacteria), and pyuria (>10 WBC/high-powered field). All urinary tract infections were caused by Escherichia coli. Isolates of this urinary pathogen showed decreased susceptibility to trimetoprimsulfametoxasole, as well as resistance to ampicillin. CONCLUSIONS: UTI is a frequent cause of the acute febrile syndrome without apparent source for the fever in infants of Turbo, Antioquia. In such cases, particularly when there are not specific clinical signs or symptoms, physicians should take this disease into consideration, and order an UA (white blood cells and bacteria per high-powered field), and gram stain. If results of these tests are positive, an urine culture becomes necessary. In our study, E. coli isolates showed significant resistance to commonly prescribed antibiotics