Change in allele frequencies and microevolution
Answer:
Independent variable: Glass of milk
Dependent variable: Time of sleep
Control variable: same type of milk
Explanation:
Independent variable in an experiment refers to the variable that the experimenter manipulates or changes in order to get a response in another variable (dependent). In this case, the independent variable is the GLASS OF MILK taken before bed.
Dependent variable is that variable that is measured in an experiment. It is the variable that responds to the changes made to the independent variable. In this experiment, the dependent variable is the TIME OF SLEEP of the students.
A control variable or constant is the variable that is kept unchanged throughout the course of the experiment in order not to alter the outcome of the experiment. In this experiment, a control variable can be the SAME TYPE OF MILK taken by each student.
Sonar testing has caused whales to die in mass amounts.
Answer:
Climate change is rapidly becoming known as a tangible issue that must be addressed to avoid major environmental consequences in the future. Recent change in public opinion has been caused by the physical signs of climate change–melting glaciers, rising sea levels, more severe storm and drought events, and hotter average global temperatures annually. Transportation is a major contributor of carbon dioxide (CO2) and other greenhouse gas emissions from human activity, accounting for approximately 14 percent of total anthropogenic emissions globally and about 27 percent in the U.S.
Fortunately, transportation technologies and strategies are emerging that can help to meet the climate challenge. These include automotive and fuel technologies, intelligent transportation systems (ITS), and mobility management strategies that can reduce the demand for private vehicles. While the climate change benefits of innovative engine and vehicle technologies are relatively well understood, there are fewer studies available on the energy and emission impacts of ITS and mobility management strategies. In the future, ITS and mobility management will likely play a greater role in reducing fuel consumption. Studies are often based on simulation models, scenario analysis, and limited deployment experience. Thus, more research is needed to quantify potential impacts. Of the nine ITS technologies examined, traffic signal control, electronic toll collection, bus rapid transit, and traveler information have been deployed more widely and demonstrated positive impacts (but often on a limited basis). Mobility management approaches that have established the greatest CO2 reduction potential, to date, include road pricing policies (congestion and cordon) and carsharing (short-term auto access). Other approaches have also indicated CO2 reduction potential including: low-speed modes, integrated regional smart cards, park-and-ride facilities, parking cash out, smart growth, telecommuting, and carpooling.
Explanation:
