Artificial intelligence algorithms predict the efficacy of analgesic cocktails prescribed after orthopedic surgery.

Background: Mixtures ('cocktails') of various analgesics are more effective in controlling post-operative pain because of potential synergetic effects. Few studies have investigated such effects in large combinations of analgesics and no studies have determined the probabilities of effectiveness.

Methods: We used one-hot encoding of the categorical variables reported pain levels and the administered cocktails (from a total of eight analgesics) and then applied an unsupervised neural network and then the unsupervised DBSCAN algorithm to detect clusters of cocktails.

Diverse values, philosophies and ideas beget innovation and resilience in ecology and for our world.

Intellectual diversity, which is often assessed through social diversity proxies, such as race, ethnicity, and gender, is essential to innovation in ecology. There are many diverse ways of knowing, valuing, and discerning alternatives within ecology and as it is applied to solve global-change issues. However, science is a cultural activity, one that is affected by colonialism, racism, and White supremacy and, like other fields of science, the pursuit of ecological careers has historically been a space of limited opportunities for participation for Black, Indigenous, and People of Color (BIPOC)-narrowing the diverse ways of knowing, valuing, and engaging in ecological work.

Can flowers affect land surface albedo and soil microclimates?

The phenology of vegetation, namely leaf-out and senescence, can influence the Earth's climate over regional spatial scales and long time periods (e.g., over 30 years or more), in addition to microclimates over local spatial scales and shorter time periods (weeks to months).

Experimental warming differentially affects vegetative and reproductive phenology of tundra plants.

Rapid climate warming is altering Arctic and alpine tundra ecosystem structure and function, including shifts in plant phenology. While the advancement of green up and flowering are well-documented, it remains unclear whether all phenophases, particularly those later in the season, will shift in unison or respond divergently to warming. Here, we present the largest synthesis to our knowledge of experimental warming effects on tundra plant phenology from the International Tundra Experiment.

Accelerated Snowmelt Protocol to Simulate Climate Change Induced Impacts on Snowpack Dependent Ecosystems.

Field studies that simulate the effects of climate change are important for a predictive understanding of ecosystem responses to a changing environment. Among many concerns, regional warming can result in advanced timing of spring snowmelt in snowpack dependent ecosystems, which could lead to longer snow-free periods and drier summer soils. Past studies investigating these impacts of climate change have manipulated snowmelt with a variety of techniques that include manual snowpack alteration with a shovel, infrared radiation, black sand and fabric covers.