Piloting Strategy
Piloting Strategy - Related Videos
07:17
Pilot Testing
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University In any experiment researchers have the challenge of creating experiences for participants that are consistent (i.e., reliable) and authentic (i.e., valid). Yet there are many ways to manipulate any one variable. For example, if you want participants to feel sad, you can have them think of their own sad memory, watch a sad video, or read a sad story. Researchers must find the best way to...
01:21
Pilot and Numeric Relaying
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2024
Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying: Pilot Wires: These are separate electrical circuits operating at DC, 50 to 60 Hz,...
06:34
Operation of a 25 KWth Calcium Looping Pilot-plant with High Oxygen Concentrations in the Calciner
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Cited by 7 •
2017
This manuscript describes a procedure for operating a calcium looping pilot-plant for post-combustion carbon capture with high oxygen concentrations in the calciner in order to reduce or eliminate the flue gas recycle.
09:45
New Variations for Strategy Set-shifting in the Rat
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Cited by 3 •
2017
Set-shifting, a form of behavioral flexibility, requires an attentional shift from one stimulus dimension to another. We extended an established rodent set-shifting task1 by requiring attention to different stimuli according to context. The task was combined with specific lesions to identify neuron subtypes underlying a successful shift.
12:59
Barnes Maze Testing Strategies with Small and Large Rodent Models
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Cited by 168 •
2014
The dry-land Barnes maze is widely used to measure spatial navigation ability in response to mildly aversive stimuli. Over consecutive days, performance (e.g. latency to locate escape cage) of control subjects improves, indicative of normal learning and memory. Differences between rats and mice necessitate apparatus and methodology changes that are detailed here.
FAQs
Iteration turns early problems into design adjustments rather than allowing them to persist into the larger investigation. Researchers can review how protocols, sampling methods, instruments, timelines, and data-collection procedures performed, then refine experimental conditions and test the revised plan again. This feedback cycle helps establish a more workable design before substantial biological resources are committed.
A useful pilot examines the operational chain as a connected system. Protocol steps must be workable, sampling methods must function as planned, instruments must support the intended measurements, and timelines must be realistic. Data-collection procedures also require review because weaknesses at this stage can affect later interpretation. Testing these components together exposes practical conflicts that isolated planning may miss.
Assessing variability during piloting helps investigators understand how consistently the planned methods perform under the selected experimental conditions. That information can guide optimization and support more realistic study design. It also helps researchers recognize whether difficulties arise from the protocol, sampling approach, or instrument use, improving decisions about how to structure the full biological investigation.
Reproducibility improves when a pilot reveals which parts of a study can be carried out consistently and which require refinement. By examining procedures before the full investigation, researchers can clarify workable protocols, sampling methods, instrument use, and data-collection procedures. The resulting adjustments reduce avoidable errors and provide a stronger practical basis for repeating the study under comparable conditions.
A practical workflow begins by applying the proposed protocol, sampling approach, instruments, timeline, and data-collection procedures on a limited scale. Researchers then review feasibility, identify practical problems, assess variability, and refine experimental conditions. Repeating this cycle as needed converts observations from the pilot into decisions about methods and realistic requirements for the larger biological study.
Pilot findings support resource planning by showing what the larger study will realistically require. Evidence from the trial can inform method selection, experimental conditions, timelines, and other requirements before full implementation. This helps investigators reduce avoidable waste, anticipate practical constraints, and align the study design with available resources while preserving attention to feasibility and reproducibility.