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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
soft functions
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "soft functions" is correct and usable in written English.
It can be used in contexts discussing roles, tasks, or features that are less rigid or more flexible in nature, often in contrast to "hard functions." Example: "In our project, we need to focus on both the hard functions of the software and the soft functions that enhance user experience."
✓ Grammatically correct
Science
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
2 human-written examples
We point out that viable soft functions in jet production should have a gap associated with the minimum soft hadronic energy deposit.
Science
We design soft functions for jet factorization theorems that serve this dual purpose, reducing to the perturbative result in the tail region and to a consistent model in the nonperturbative region.
Science
Human-verified similar examples from authoritative sources
Similar Expressions
58 human-written examples
Third, a kind of soft function was used to reduce the oscillation caused by sliding mode control.
end{aligned} Let (f:(X,tau _1,E rightarrow (Y,nu _2,K)) be a soft function defined as in (1), then f is soft b-continuous function but not soft semi-continuous. .
Science
Distributions in jet production often depend on a soft function, S, which describes soft large angle hadronic radiation between the jets.
Science
Now, take a soft function T : F → ˜ F by the formulae: T ( p, ∅ ) = ( p + 1, ∅ ), p ∈ E, T ( p, { u } ) = ( p + 1, { u + 1 } ), p ∈ E, u ∈ ( p, p + 1 ]. Then T is obviously a soft continuous mapping, T ( X ) ≠ X for any X ⊆ ˜ F and, clearly, T does not have a fixed point.
Unlike the hard thresholding function, the soft thresholding function handles signals in a different way by making smooth transitions between the treated and the deleted coefficients based on the threshold value[20, 37, 38].
These soft belief functions are formulated on the basis of a confusion matrix of probability mass functions obtained jointly from both acoustic and visual speech features.
In this paper, we discuss the significance of two soft belief functions developed for multimodal speech processing.
The two soft belief functions, namely, BHT-SB and MHT-SB are applied to the speaker diarization and audio-visual speech recognition tasks, respectively.
Every soft continuous function is sb-continuous function.
Science
Expert writing Tips
Best practice
When using "soft functions", clearly define what makes them 'soft' compared to 'hard' functions within your specific context. This ensures clarity and avoids ambiguity.
Common error
Avoid using "soft functions" as a blanket term for anything flexible. Instead, provide specific examples of how these functions operate and what outcomes they produce. This approach adds credibility to your analysis.
Source & Trust
83%
Authority and reliability
4.1/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "soft functions" primarily serves as a descriptive term, characterizing functionalities that possess a degree of flexibility or adaptability. As Ludwig AI confirms, the phrase is grammatically sound. The examples from Ludwig showcase usage in scientific contexts, particularly in describing computational models and physical systems.
Frequent in
Science
100%
Less common in
News & Media
0%
Formal & Business
0%
Wiki
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Ludwig's WRAP-UP
In summary, "soft functions" is a grammatically correct phrase, as stated by Ludwig AI, primarily used in scientific and technical contexts to describe adaptable or flexible processes. While the phrase itself is understandable, it is used relatively rarely; therefore, be mindful of your audience and ensure clarity by defining what "soft" means in relation to "hard" functions within your specific context. Consider alternatives like "flexible capabilities" or "adaptive features" depending on the context to best convey your intended meaning.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
flexible capabilities
Emphasizes the adaptability and range of functions.
adaptive features
Highlights the ability of the functions to adjust to different conditions.
non-rigid roles
Focuses on the less structured or defined nature of the functions.
dynamic functionalities
Stresses the changing and interactive aspect of the functions.
malleable processes
Highlights the adaptability and changeability of the processes.
compliant features
Focuses on functions that are able to conform to certain standards.
softened characteristics
Highlights the mitigation of harsh characteristics.
subtle utilities
Emphasizes functionalities that are gentle and understated.
gentle functionalities
Emphasizes functionalities that are not invasive or forceful.
compliant routines
Highlights routines that are able to conform to certain standards.
FAQs
How are "soft functions" typically used in technical writing?
"Soft functions" are often used to describe processes or features that are adaptable or less rigid compared to their 'hard' counterparts. They are common in scientific and engineering contexts.
What's the difference between "soft functions" and "flexible capabilities"?
While both refer to adaptability, "soft functions" often imply a specific function or process, whereas "flexible capabilities" may describe a broader set of abilities.
Can I use other terms instead of "soft functions"?
Yes, depending on the context. Alternatives include "adaptive features", "non-rigid roles", or "dynamic functionalities". Choose the term that best reflects the specific aspect you want to emphasize.
Is "soft functions" a widely recognized term?
While understandable, "soft functions" isn't as common as other terms like "flexible features" or "adaptive systems". Consider your audience and whether they will readily understand the term.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
83%
Authority and reliability
4.1/5
Expert rating
Real-world application tested