The diversity of Brazilian vertebrates is regarded among the highest in world. However, biological still mostly unknown and a good part it seriously threatened by human activities. This study aimed to inventory medium large size mammals present Reserva Biológica de Santa Rita do Sapucaí, an Atlantic forest reserve located southeastern Brazil. Sand-plots, photographic traps searches for animal tracks on pre-existent trails area, were carried out once every two months between May 2006 February...

Background:The safety of direct-to-consumer telemedicine (TM) is closely related to red flag detection and correct referrals. The adherence referral criteria from current guidelines not well quantified. Objective:To analyze the emergency department (ED) rate in TM encounters acutely ill patients calling a center that adopts stewardship protocols. Methods:This retrospective observational unicentric study, between March 2020 2022, with who spontaneously sought urgent virtual medical...

The quantification of self-triage effectiveness, guided by mobile applications, in urgent direct-to-consumer telemedicine (TM) encounters requires further investigation. objective this study was to evaluate the outcomes referral guidance provided a symptom-based self-management application decision algorithm context remote care assessments.

Historically, studies aimed at prospecting and analyzing paleontological neontological data to investigate species distribution have developed separately. Research the interface between paleontology biogeography has shown a unidirectional bias, mostly focusing on how information can aid understand through time. However, modern suit of techniques ecological biogeography, particularly models (SDM), be instrumental for paleontologists as well, improving biogeography-paleontology interchange. In...

Abstract Aim Despite longstanding investigation, the gradients of species richness remain unknown for most taxa because shortfalls in knowledge regarding quantity and distribution species. Here, we explore ability a geostatistical interpolation model, regression‐kriging, to recover geographical richness. We examined technique with an silico gradient evaluated effect different configurations shortfalls. also took same approach empirical data large gaps, infraorder Furnariides suboscine birds....

Great environmental changes may affect the survival capability of a variety organisms. Testudinidae is most diverse family terrestrial chelonians within whole order (Testudines). Interestingly, however, number extinct species overcome extant ones. In to understand better how diversification process this occurred, work used PyRate software, which estimates both preservation and processes in continuous time interval. For such, software list fossil occurrences obtained from Paleobiology...

Chagas disease represents one of the major health issue in Latin America. Epidemiological control is focused on vectors, so studies ecology triatomine vectors constitute a central strategy. Recently, research at large spatial scale has been produced, and authors commonly rely assumption that geographical regions presenting good environmental conditions for most vector species are also those with high risk infection. In present work, we provide an explicit evaluation this assumption....

Environmental catastrophes may precipitate local species extinctions, hence altering community composition (i.e., β-diversity) at the regional scale. Assessments of impacts such disturbance be hindered by availability sufficiently high-quality before/after data. However, simulations can provide key insights into nature biodiversity change involved, even when data are limited. Using a simulation approach, we asked how disturbances might have affected patterns β-diversity, following ‘Mariana...

Background Integrating decision support systems into telemedicine may optimize consultation efficiency and adherence to clinical guidelines; however, the extent of such effects remains underexplored. Objective This study aims evaluate use ICD (International Classification Disease)-coded prescription (PDSSs) these on duration guideline during encounters. Methods In this retrospective, single-center, observational conducted from October 2021 March 2022, adult patients who sought urgent digital...

<sec> <title>BACKGROUND</title> Integrating decision support systems into telemedicine may optimize consultation efficiency and adherence to clinical guidelines; however, the extent of such effects remains underexplored. </sec> <title>OBJECTIVE</title> This study aims evaluate use &lt;i&gt;ICD&lt;/i&gt; (&lt;i&gt;International Classification Disease&lt;/i&gt;)-coded prescription (PDSSs) these on duration guideline during encounters. <title>METHODS</title> In this retrospective,...

Habitat loss and fragmentation turn continuous large populations into metapopulations of smaller populations, more prone to the negative effects stochastic processes. We modeled scenarios simulating subdivision Brachyteles hypoxanthus under different dispersal rates. Results show existence a population threshold, below which causes metapopulation structure collapse. Management should target first increase in local through habitat restoration/protection, only after are sufficiently large,...

Abstract Clinical decision support systems (CDSS) figures out as one of the most promising technologies for data-centered and AI-prompted healthcare. Its current developments are mainly guided by two disparate mindsets, namely a machine learning-centered framework classical rule-based framework. These respective approaches presents contrastive pros cons. In present study we provide an analysis showing that these mindsets actually related to each other, straightforward algorithms feasible...

Abstract Previous work on Chagas Disease disease at large spatial scales has not explored how interaction with humans can affect projections for geographical distribution of environmental suitability vector species. Here, we compare niche-based species models climatic variables as predictors (SDM clim ) and + human population density Human ). Our results show that accounting helps refine the to finer scales. Also, different patterns accumulated were obtained by SDM . Moreover, more accurate...

Abstract Currently, data performns a critical concept for disparate human activities, from law to technology. Among data-centric technologies, clinical decision support systems (CDSS) figures out as one of the most promising healthcare. Despite technological advances facilitating its implementation, maintainance knowledge base CDSS remains open improvements. Here, we argue that Appropriateness Criteria provided by ACR guidelines can be used data-source that, combined with appropriate...

Abstract The current existence of massive data has not proved to be sufficient, by itself, for the quality decision-making in organizations that provide health services. Thus, decision support systems (DSS) have a high strategic potential. However, initiatives focusing on implementation such commonly frustrate involved professionals, precisely because challenges at data-collection stage. In this context, here we propose conceptual model DSS, prioritizing pipelines composed simple algorithms,...

Among the current data-centric technologies, clinical decision support systems (CDSS) figure out as one of most promising for healthcare. Despite technological advances facilitating its implementation, maintenance knowledge base CDSS remains open to improvements. Here, we argue that Appropriateness Criteria provided by ACR guidelines can be used an data-source that, combined with appropriate algorithms, push forward basic research and developments regarding bases CDSS. Therefore, developed a...