Publications by authors named "N Cobb"

Both sexually selected traits and mate preferences for these traits can be context dependent, yet how variation in preferred traits could select for context dependent preferences has rarely been examined. The signal reliability hypothesis predicts that mate preferences vary across contexts (e.g.

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Background: There is a dearth of scholarship that explicates the effects of religious participation on anxiety disorders among Black Americans. A better understanding of the links between religious participation, a coping resource, and anxiety disorders among Black Americans remains essential, given Black Americans are less likely than their white counterparts to seek professional treatment for mental health problems, leading to greater unmet mental health needs. The aim of this study was to investigate whether religious participation is associated with the prevalence, persistence, and severity of anxiety disorders among Black adults.

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Blood pressure (BP) is routinely invasively monitored by an arterial catheter in the intensive care unit (ICU). However, the available data comparing the accuracy of noninvasive methods to arterial catheters for measuring BP in the ICU are limited by small numbers and diverse methodologies. To determine agreement between invasive arterial blood pressure monitoring (IABP) and noninvasive blood pressure (NIBP) in critically ill patients.

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Background: Prior research has demonstrated that low- and low-middle-income countries (LLMICs) bear a higher burden of critical illness and have a higher rate of mortality from critical illness than high-income countries (HICs). There is a pressing need for improved critical care delivery in LLMICs to reduce this inequity. This systematic review aimed to characterise the range of critical care interventions and services delivered within LLMIC health care systems as reported in the literature.

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Article Synopsis
  • The BeeBDC R package provides a solution to the problem of limited and unreliable species occurrence data, particularly for bees, by creating a global dataset from over 18.3 million records.
  • The dataset was meticulously cleaned and standardized, ensuring consistency in species names, country names, and collection dates, while also flagging potential quality issues.
  • The package allows researchers to customize their data filtering and analysis, enhancing the accessibility and reliability of data for future research and conservation efforts.
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