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Phi value analysis, φ {\displaystyle \varphi } analysis, or φ {\displaystyle \varphi } -value analysis is an experimental protein engineering technique
Phi_value_analysis
Twenty-first letter in the Greek alphabet
numerals, phi has a value of 500 (φʹ) or 500,000 (͵φ). The Cyrillic letter Ef (Ф, ф) descends from phi. Like other Greek letters, lowercase phi (encoded
Phi
Process in protein folding
amenable to complementary computational and experimental study using phi value analysis. Correct protein folding is integral to proper functionality within
Hydrophobic_collapse
Change of a linear protein chain to a 3D structure
measure protein folding kinetics, generate a chevron plot and derive a Phi value analysis. Circular dichroism is one of the most general and basic tools to
Protein_folding
used as a measure of the "nativeness" of folding transition states. Phi value analysis in concert with molecular dynamics has produced transition-state models
Contact_order
British chemist (born 1943)
reagents. This procedure of studying protein engineered mutants, named Phi value analysis, was then applied to inferring the structure of transition states
Alan_Fersht
Specific values of a multivalued function
z\right).} For a complex number z = r e i ϕ {\displaystyle z=re^{i\phi }\,} the principal value of the square root is: p v z = exp ( p v log z 2 ) = r e
Principal_value
American biologist
application of phi-value analysis to the study of barnase, a bacterial RNAse used in many protein folding studies. Development of phi value analysis in combination
Andreas_Matouschek
Statistical measure of association for two binary variables
In statistics, the phi coefficient, also known as the mean square contingency coefficient or Yule coefficient of correlation and commonly denoted by φ
Phi_coefficient
following result is stated by E. Stein: Suppose that a real-valued function ϕ ( x ) {\displaystyle \phi (x)} is smooth in an open interval ( a , b ) {\displaystyle
Van der Corput lemma (harmonic analysis)
Van_der_Corput_lemma_(harmonic_analysis)
Technique in molecular biology
it for expression in a particular organism. Directed mutagenesis Phi value analysis Hsu PD, Lander ES, Zhang F (June 2014). "Development and applications
Site-directed_mutagenesis
after introducing premature stop codon. Site-directed mutagenesis Phi value analysis missense mutation nonsense mutation point mutation frameshift mutation
Mutant_protein
Decision support tool
M1 has the highest phi function value and M4 has the highest information gain value. The M1 mutation will be the root of our phi function tree and M4
Decision_tree
Maximized objective function of an optimization problem
x(t_{1}))=\phi (x(t_{1}))} , where ϕ ( x ( t 1 ) ) {\displaystyle \phi (x(t_{1}))} is the "scrap value". If the optimal pair of control and state trajectories is
Value_function
Analysis of the dimensions of different physical quantities
In engineering and science, dimensional analysis of different physical quantities is the analysis of their physical dimension or quantity dimension, defined
Dimensional_analysis
Bacterial ribonuclease protein
method of characterizing protein folding transition states known as phi value analysis. Barnase catalyzes hydrolysis at diribonucleotide GpN sites. Cleavage
Barnase
Numerical method for solving physical or engineering problems
u} (mean value theorem) but may be proved in a distributional sense as well. We define a new operator or map ϕ ( u , v ) {\displaystyle \phi (u,v)} by
Finite_element_method
properties of individual materials. R-value is defined as R val = Δ T ϕ q , {\displaystyle R_{\text{val}}={\frac {\Delta T}{\phi _{q}}},} where (using SI units):
R-value_(insulation)
Various systems of symbolic logic
Value [ ⊥ ] = ∅ Value [ ⊤ ] = R Value [ A ∧ B ] = Value [ A ] ∩ Value [ B ] Value [ A ∨ B ] = Value [ A ] ∪ Value [ B ] Value [ A → B ] = int ( Value
Intuitionistic_logic
Study of kind and quantity of error
y).} Error analysis deals with the propagation of the numerical errors in x {\displaystyle x} and y {\displaystyle y} (around mean values x ¯ {\displaystyle
Error_analysis_(mathematics)
Shape and form of a signal
{\displaystyle \phi } is phase: Sine wave: ( t , λ , a , ϕ ) = a sin 2 π t − ϕ λ . {\textstyle (t,\lambda ,a,\phi )=a\sin {\frac {2\pi t-\phi }{\lambda }}
Waveform
Statistical measure of variability
k=1/\left(\Phi ^{-1}(3/4)\right)\approx 1/0.67449\approx 1.4826,} i.e., the reciprocal of the quantile function Φ − 1 {\displaystyle \Phi ^{-1}} (also
Median_absolute_deviation
Statistical measures of whether a finding is likely to be true
Predictive values". BMJ. 309 (6947): 102. doi:10.1136/bmj.309.6947.102. PMC 2540558. PMID 8038641. Fawcett, Tom (2006). "An Introduction to ROC Analysis" (PDF)
Positive and negative predictive values
Positive_and_negative_predictive_values
Statistical concept
letting the test ϕ α {\displaystyle \phi _{\alpha }} take value in [ 0 , 1 ] {\displaystyle [0,1]} . Here, its value is interpreted as a probability with
E-values
Multivariate statistical technique
{\displaystyle K=k(\mathbf {x} ,\mathbf {y} )=(\Phi (\mathbf {x} ),\Phi (\mathbf {y} ))=\Phi (\mathbf {x} )^{T}\Phi (\mathbf {y} )} which represents the inner
Kernel principal component analysis
Kernel_principal_component_analysis
Number, approximately 1.618
{a}{b}}=\varphi ,} where the Greek letter phi ( φ {\displaystyle \varphi } or ϕ {\displaystyle \phi } , or Φ {\displaystyle \Phi } ) denotes the golden ratio
Golden_ratio
Concept in complex analysis
In complex analysis (a branch of mathematics), a pole is a certain type of singularity of a complex-valued function of a complex variable. It is the simplest
Zeros_and_poles
Statistical measure of association
(sometimes referred to as Cramér's phi and denoted as φc) is a measure of association between two nominal variables, giving a value between 0 and +1 (inclusive)
Cramér's_V
Family of probability distributions
generalized extreme value (GEV) distribution is a family of continuous probability distributions developed within extreme value theory to combine the
Generalized extreme value distribution
Generalized_extreme_value_distribution
Graph of protein folding kinetics
Denaturation (biochemistry) Denaturation midpoint Equilibrium unfolding Phi value analysis Jenkins DC, Pearson DS, Harvey A, Sylvester ID, Geeves MA, Pinheiro
Chevron_plot
Quantum states of two qubits
qubit is guaranteed to yield the same value (for the Φ {\displaystyle \Phi } Bell states) or the opposite value (for the Ψ {\displaystyle \Psi } Bell
Bell_state
Branch of ordinary differential equations
solution ϕ ( t ) {\displaystyle \phi \,(t)} . Moreover, if ϕ ( t ) {\displaystyle \phi (t)} is a real matrix for every value of t {\displaystyle t} , then
Floquet_theory
Statistical function that converts a probability to a standard normal score
) . {\displaystyle \Phi (-1.96)=0.025=1-\Phi (1.96).\,\!} The probit function gives the 'inverse' computation, generating a value of a standard normal
Probit
Mathematical term
In mathematical analysis, a Banach limit is a continuous linear functional ϕ : ℓ ∞ → C {\displaystyle \phi :\ell ^{\infty }\to \mathbb {C} } defined on
Banach_limit
Inputs for which a function's value is non-zero
is used widely in mathematical analysis. Suppose that f : X → R {\displaystyle f:X\to \mathbb {R} } is a real-valued function whose domain is an arbitrary
Support_(mathematics)
Concept in applied mathematics
cell face values of property for a uniform grid can be written as: Φ e = 1 2 ( Φ P + Φ E ) {\displaystyle \Phi _{e}={\tfrac {1}{2}}(\Phi _{P}+\Phi _{E})}
Central_differencing_scheme
Provides integral formulas for all derivatives of a holomorphic function
statement in complex analysis. It expresses the fact that a holomorphic function defined on a disk is completely determined by its values on the boundary of
Cauchy's_integral_formula
Multivariate functions can be written using univariate functions and summing
exist real values η , λ 1 , … , λ n {\displaystyle \eta ,\lambda _{1},\ldots ,\lambda _{n}} , a continuous function Φ : R → R {\displaystyle \Phi \colon \mathbb
Kolmogorov–Arnold representation theorem
Kolmogorov–Arnold_representation_theorem
Probability distribution
}}}e^{-x_{0}^{2}/2}\\\Phi ^{(n)}(x_{0})&=-\left(x_{0}\Phi ^{(n-1)}(x_{0})+(n-2)\Phi ^{(n-2)}(x_{0})\right),&n\geq 2\,.\end{aligned}}} About 68% of values drawn from
Normal_distribution
Diagnostic plot of binary classifier ability
it can be generalized to multiple classes) at varying threshold values. ROC analysis is commonly applied in the assessment of diagnostic test performance
Receiver operating characteristic
Receiver_operating_characteristic
Method of analyzing the amortized complexity of a data structure
(\Phi (S_{i})-\Phi (S_{i-1}))\right)=T_{\mathrm {actual} }(O)+C\cdot (\Phi (S_{n})-\Phi (S_{0})),} where the sequence of potential function values forms
Potential_method
Statistical regression where the dependent variable can take only two values
{\displaystyle P(Y=1\mid X)=\Phi (X^{\operatorname {T} }\beta ),} where P is the probability and Φ {\displaystyle \Phi } is the cumulative distribution
Probit_model
Signal processing technique
spectral density estimate Singular spectrum analysis is a nonparametric method that uses a singular value decomposition of the covariance matrix to estimate
Spectral_density_estimation
Protein domain
folding pathway of an immunoglobulin domain: structural detail from Phi value analysis and movement of the transition state". Structure. 9 (5): 355–366.
Immunoglobulin_C2-set_domain
Type of probability distribution
{1}{\sigma }}\,{\frac {\varphi ({\frac {x-\mu }{\sigma }})}{\Phi ({\frac {b-\mu }{\sigma }})-\Phi ({\frac {a-\mu }{\sigma }})}}} and by f = 0 {\displaystyle
Truncated_normal_distribution
Method to estimate the components of a signal
{f}}(t)=\sum _{i=1}^{N}{\tfrac {1}{2}}A_{i}\left(e^{j\phi _{i}}e^{\lambda _{i}^{+}t}+e^{-j\phi _{i}}e^{\lambda _{i}^{-}t}\right),\end{aligned}}} where
Prony's_method
Relation between frequency- and time-domain behavior at large time
In mathematical analysis, the final value theorem (FVT) is one of several similar theorems used to relate frequency domain expressions to the time domain
Final_value_theorem
Calculus using a logically rigorous notion of infinitesimal numbers
Nonstandard analysis instead reformulates the calculus using a logically rigorous notion of infinitesimal numbers. Nonstandard analysis originated in
Nonstandard_analysis
Norm on a vector space of matrices
) + ϕ ( y ) {\displaystyle \phi (x+y)\leq \phi (x)+\phi (y)} . Symmetry: ϕ ( P x ) = ϕ ( x ) {\displaystyle \phi (Px)=\phi (x)} for any permutation matrix
Matrix_norm
Partial differential equation describing the evolution of temperature in a region
2 exp ( − x ⋅ x 4 k t ) . {\displaystyle \Phi (\mathbf {x} ,t)=\Phi (x_{1},t)\Phi (x_{2},t)\cdots \Phi (x_{n},t)={\frac {1}{(4\pi kt)^{n/2}}}\exp \left(-{\frac
Heat_equation
Approximation method in statistics
In regression analysis, least squares is a method to determine the best-fit model by minimizing the sum of the squared residuals—the differences between
Least_squares
Class of differential and integral operators
compactly supported in x {\displaystyle x} and Φ {\displaystyle \Phi } is real valued and homogeneous of degree 1 {\displaystyle 1} in ξ {\displaystyle
Fourier_integral_operator
Method for analyzing stability of slopes of soil or rock
Slope stability analysis is a static or dynamic, analytical or empirical method to evaluate the stability of slopes of soil- and rock-fill dams, embankments
Slope_stability_analysis
Function in statistics
probit function is denoted Φ − 1 ( x ) {\displaystyle \Phi ^{-1}(x)} , where Φ ( x ) {\displaystyle \Phi (x)} is the CDF of the standard normal distribution
Logit
Mathematical theorem
=: m ( r ) {\displaystyle \max \,(\Phi (0),\Phi (x'))<\inf \limits _{\|x\|=r}\Phi (x)=:m(r)} . Φ {\displaystyle \Phi } satisfies weak Palais–Smale condition
Mountain_pass_theorem
Rate at which a threshold is exceeded
structures Gust loads on aircraft 100-year flood Cumulative frequency analysis Extreme value theory Percentile score Rice's formula Hoblit 1988, pp. 51–54. Rice
Frequency_of_exceedance
Fundamental principle of physics
{x}}_{1}&=Ax_{1}+Bu_{1}+\phi (y_{d}),&&x_{1}(0)=x_{0},\\{\dot {x}}_{2}&=Ax_{2}+Bu_{2}+\phi \left(c^{\mathsf {T}}x_{1}+c^{\mathsf {T}}x_{2}\right)-\phi (y_{d})
Superposition_principle
Strong form of uniform continuity
In mathematical analysis, Lipschitz continuity, named after German mathematician Rudolf Lipschitz, is a strong form of uniform continuity for functions
Lipschitz_continuity
Sound synthesis technique
kf_{0}t)\right]\\&={\frac {a_{0}}{2}}+\sum _{k=1}^{\infty }r_{k}\cos \left(2\pi kf_{0}t+\phi _{k}\right)\\\end{aligned}}} where f 0 = 1 / P {\displaystyle f_{0}=1/P}
Additive_synthesis
In power systems, expression of system quantities as fractions
manual analysis of power systems easier. Although power-system analysis is now done by computer, results are often expressed as per-unit values on a convenient
Per-unit_system
Mathematical theorem
By the mean value theorem, for fixed h and k non-zero, θ {\displaystyle \theta } , θ ′ {\displaystyle \theta '} , ϕ {\displaystyle \phi } , ϕ ′ {\displaystyle
Symmetry of second derivatives
Symmetry_of_second_derivatives
Periodicity computation method
Least-squares spectral analysis (LSSA) is a class of methods for estimating a frequency spectrum by fitting sinusoids to data using a least-squares fit
Least-squares spectral analysis
Least-squares_spectral_analysis
Dimensionless parameter of the Weibull distribution
characteristic of a narrower distribution of values. Use case examples include biological and brittle material failure analysis, where modulus is used to describe
Weibull_modulus
Statistical model used in time series analysis
and ϕ {\displaystyle \phi } is the characteristic polynomial of the autoregressive part of the ARMA model. An appropriate value of p in the ARMA(p, q)
Autoregressive moving-average model
Autoregressive_moving-average_model
Scientific law describing absorption of light
{\Phi _{e}^{i}} =\mathrm {\Phi _{e}} (0)} and the transmitted radiant flux Φ e t = Φ e ( ℓ ) {\displaystyle \mathrm {\Phi _{e}^{t}} =\mathrm {\Phi _{e}}
Beer–Lambert_law
Statistical model for a binary dependent variable
(any real value). The corresponding probability of the value labeled "1" can vary between 0 (certainly the value "0") and 1 (certainly the value "1"), hence
Logistic_regression
Probability distribution with more than one mode
{\phi _{84}+\phi _{16}-2\phi _{50}}{2(\phi _{84}-\phi _{16})}}+{\frac {\phi _{95}+\phi _{5}-2\phi _{50}}{2(\phi _{95}-\phi
Multimodal_distribution
Mathematical method
f_{n}(x)=a_{1}\phi _{1}(x)+a_{2}\phi _{2}(x)+\cdots +a_{n}\phi _{n}(x),\ } with the set of functions { ϕ j ( x ) {\displaystyle \ \phi _{j}(x)} } an
Least-squares function approximation
Least-squares_function_approximation
Signal processing algorithm
)e^{j\phi _{\tau }(\omega )}\end{aligned}}} where M t ( ω ) {\displaystyle M_{t}(\omega )} is the magnitude, and ϕ τ ( ω ) {\displaystyle \phi _{\tau
Reassignment_method
Type of statistical model
_{1}\phi _{1}(X_{i1})+\cdots +\beta _{p}\phi _{p}(X_{ip})+\varepsilon _{i}\qquad i=1,\ldots ,n} where ϕ 1 , … , ϕ p {\displaystyle \phi _{1},\ldots ,\phi _{p}}
Linear_model
Vector operator in vector calculus
would thus have a positive value. While the air is cooled and thus contracting, the divergence of the velocity has a negative value. In physical terms, the
Divergence
Partial correlation of a time series with its lagged values
series analysis, the partial autocorrelation function (PACF) gives the partial correlation of a stationary time series with its own lagged values, regressed
Partial autocorrelation function
Partial_autocorrelation_function
Statistical concept
component }}i\\\phi _{i=1\dots K}&=&{\text{mixture weight, i.e., prior probability of a particular component }}i\\{\boldsymbol {\phi }}&=&K{\text{-dimensional
Mixture_model
Ratio of void volume and total volume of a porous material
equation: ϕ ( z ) = ϕ 0 e − k z {\displaystyle \phi (z)=\phi _{0}e^{-kz}\,} where, ϕ ( z ) {\displaystyle \phi (z)} is the porosity of the sediment at a given
Porosity
Model parameters in mathematical finance
an option to changes in one or more underlying parameters on which the value of an instrument or portfolio of financial instruments is dependent. The
Greeks_(finance)
Analytic method in statistics
In statistics, factor analysis of mixed data or factorial analysis of mixed data (FAMD, in the French original: AFDM or Analyse Factorielle de Données
Factor_analysis_of_mixed_data
{\displaystyle \int _{\mathbf {R} ^{n}}\Phi =1} and set Φ t ( x ) = t − n Φ ( x t ) {\displaystyle \Phi _{t}(x)=t^{-n}\Phi ({\tfrac {x}{t}})} for t > 0. Then
Maximal_function
Number with a real and an imaginary part
value |z| of the corresponding z is the amplitude and the argument arg z is the phase. If Fourier analysis is employed to write a given real-valued signal
Complex_number
Analog of the continuous Laplace operator
_{\gamma }\phi )(v)=\sum _{w:\,d(w,v)=1}\gamma _{wv}\left[\phi (v)-\phi (w)\right]} where γ w v {\displaystyle \gamma _{wv}} is the weight value on the edge
Discrete_Laplace_operator
Mechanical oscillations about an equilibrium point
^{2}}}\omega _{n}t-\phi \right),\qquad \omega _{n}=2\pi f_{n}.} The value of X, the initial magnitude, and ϕ , {\displaystyle \phi ,} the phase shift,
Vibration
Field of machine learning
mapping ϕ {\displaystyle \phi } that assigns a finite-dimensional vector to each state-action pair. Then, the action values of a state-action pair ( s
Reinforcement_learning
Complex number representing a particular sine wave
In the context of power systems analysis, the phase angle is often given in degrees, and the magnitude in RMS value rather than the peak amplitude of
Phasor
Numerical method that reduces the complexity of computationally intensive simulations
assimilated with the principal component analysis from Pearson in the field of statistics, or the singular value decomposition in linear algebra because
Proper orthogonal decomposition
Proper_orthogonal_decomposition
Abrupt change in a quantum particle's angular momentum
first solved to obtain Es(R) for different values of R. Es then plays role of a potential well in analysis of nuclear wave functions Fs(R). The first
Rotational_transition
Theory in soil mechanics
{\cos \beta -\left(\cos ^{2}\beta -\cos ^{2}\phi \right)^{1/2}}{\cos \beta +\left(\cos ^{2}\beta -\cos ^{2}\phi \right)^{1/2}}}*cos\beta } K p = cos β +
Rankine_theory
Term in statistical hypothesis testing
)\approx 1-\Phi \left(1.64-{\frac {\theta }{\sigma _{D}/{\sqrt {n}}}}\right).} According to this formula, the power increases with the values of the effect
Power_(statistics)
Statistical measure of a test's accuracy
In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It
F-score
Linear function of explanatory variables used to predict a dependent variable
x 2 , … , x p ) . {\displaystyle {\boldsymbol {\phi }}(x)=(\phi _{1}(x),\phi _{2}(x),\ldots ,\phi _{p}(x))=(x,x^{2},\ldots ,x^{p}).} This example shows
Linear_predictor_function
Elementary particle involved with rest mass
{\displaystyle \phi ^{1}=\phi ^{2}=\phi ^{3}=0} . The expectation value of ϕ 0 {\displaystyle \phi ^{0}} in the ground state (the vacuum expectation value or VEV)
Higgs_boson
Probability distribution
x ) {\displaystyle \phi (x)} denote the standard normal probability density function ϕ ( x ) = 1 2 π e − x 2 2 {\displaystyle \phi (x)={\frac {1}{\sqrt
Skew_normal_distribution
Neural network that learns efficient data encoding in an unsupervised manner
\min _{\theta ,\phi }L(\theta ,\phi ),\qquad {\text{where }}L(\theta ,\phi )={\frac {1}{N}}\sum _{i=1}^{N}\|x_{i}-D_{\theta }(E_{\phi }(x_{i}))\|_{2}^{2}}
Autoencoder
Probability distribution
x − μ σ ) {\displaystyle F_{X}(x)=\Phi {\left({\frac {\ln x-\mu }{\sigma }}\right)}} where Φ {\displaystyle \Phi } is the cumulative distribution function
Log-normal_distribution
Physical theory with fields invariant under the action of local "gauge" Lie groups
{L}}={\frac {1}{2}}(\partial _{\mu }\Phi )^{\mathsf {T}}\partial ^{\mu }\Phi -{\frac {1}{2}}m^{2}\Phi ^{\mathsf {T}}\Phi } by introducing a vector of fields
Gauge_theory
Stability criterion in control theory
ω t + ϕ ) {\displaystyle y_{mode}(t)\propto e^{\sigma t}\cos {(\omega t+\phi )}} with growth rate σ and phase offset φ at the oscillation frequency ω
Root_locus_analysis
Measure of distance to normality
}-S=-\Phi =-k\ln Z\,} where: S {\displaystyle S} is entropy J {\displaystyle J} is negentropy (Gibbs "capacity for entropy") Φ {\displaystyle \Phi } is
Negentropy
Concept in econometrics
\phi _{2}} must be variation-free. This means that the permissible range of values for ϕ 1 {\displaystyle \phi _{1}} does not depend on the values taken
Endogeneity_(econometrics)
Statement that is taken to be true
{\displaystyle \phi \to (\psi \to \phi )} ( ϕ → ( ψ → χ ) ) → ( ( ϕ → ψ ) → ( ϕ → χ ) ) {\displaystyle (\phi \to (\psi \to \chi ))\to ((\phi \to \psi )\to (\phi \to
Axiom
Angle between the zenith and the centre of the Sun's disc
{V} _{oz}=\sin \phi _{o}\sin \phi _{s}+\cos \phi _{o}\cos \phi _{s}\cos(\lambda _{s}-\lambda _{o}).} Note that ϕ s {\displaystyle \phi _{s}} is the same
Solar_zenith_angle
Set theory concept
{\displaystyle \|\phi (a)\land \psi (b,c)\|=\|\phi (a)\|\ \land \ \|\psi (b,c)\|} The completeness of the Boolean algebra is required to define truth values for quantified
Boolean-valued_model
Machine learning technique
t + 1 , … {\displaystyle \pi _{\phi _{t}}^{RL},V_{\xi _{t}},\pi _{\phi _{t+1}}^{RL},V_{\xi _{t+1}},\dots } . The value estimator is used only during training
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
PHI VALUE-ANALYSIS
PHI VALUE-ANALYSIS
Girl/Female
Arabic, Muslim
Superiority; Attribute; Value
Boy/Male
Indian
Value, Price
Girl/Female
Muslim/Islamic
Value Worth
Girl/Female
Arabic
Value; Price
Boy/Male
Arabic
Value
Boy/Male
Arabic, Muslim
Destiny; Dignity; Value
Boy/Male
Hindu, Indian
Value
Boy/Male
Australian, Finnish
Rule
Girl/Female
Arabic, Indian, Muslim, Parsi, Sindhi
Value; Price; Worth
Female
Vietnamese
Vietnamese name CHI means "tree branch."
Male
English
Short form of English Philip, PHIL means "lover of horses."
Girl/Female
American, British, English
Of High Value
Boy/Male
Anglo, British, English, Finnish, Swedish
Valley; Usually with a Stream; From the Glen
Boy/Male
Arabic, Hindu, Indian, Marathi, Muslim
Powerful; Don; Value
Female
Vietnamese
Vietnamese name THI means "poem."
Girl/Female
American, British, English, Italian
Of High Value
Surname or Lastname
English
English : topographic name for someone who lived in a valley, Middle English vale (Old French val, from Latin vallis). The surname is now also common in Ireland, where it has been Gaelicized as de Bhál.Galician and Aragonese : topographic name from val ‘valley’, or habitational name from any of the places named with this word.
Boy/Male
Muslim
Value, Price
Boy/Male
Australian, Finnish, Swedish
Value; Worth; Benefit
Boy/Male
Gujarati, Hindu, Indian
Value; Inside Trueness
PHI VALUE-ANALYSIS
PHI VALUE-ANALYSIS
Boy/Male
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam
Brave
Boy/Male
Arabic, Australian
Beautiful; Sword; Lovely
Surname or Lastname
English
English : variant of Machen. This is a late (17th-century) form.
Boy/Male
English
Alert.
Boy/Male
British, English
Intelligent
Girl/Female
Russian
Stranger.
Girl/Female
Tamil
Chanakshi | சாநாகà¯à®·à¯€Â
Boy/Male
Hindu, Indian
Lord of Treasure
Girl/Female
Tamil
Like Paris, Fairy or like a fairy
Girl/Female
Finnish, German, Hebrew, Latin, Spanish, Swedish
Fruitful Garden; Orchard; Song; Variant of Carmel
PHI VALUE-ANALYSIS
PHI VALUE-ANALYSIS
PHI VALUE-ANALYSIS
PHI VALUE-ANALYSIS
PHI VALUE-ANALYSIS
n.
Value.
n.
See Phiz.
v. t.
To be worth; to be equal to in value.
n.
One who values; an appraiser.
imp. & p. p.
of Value
v. t.
To rate highly; to have in high esteem; to hold in respect and estimation; to appreciate; to prize; as, to value one for his works or his virtues.
n.
The relative length or duration of a tone or note, answering to quantity in prosody; thus, a quarter note [/] has the value of two eighth notes [/].
v. t.
To estimate the value, or worth, of; to rate at a certain price; to appraise; to reckon with respect to number, power, importance, etc.
v. i.
Unsettled; unfixed; undetermined; indefinite; ambiguous; as, a vague idea; a vague proposition.
n.
In an artistical composition, the character of any one part in its relation to other parts and to the whole; -- often used in the plural; as, the values are well given, or well maintained.
n.
Current value; general estimation; the rate at which anything is generally valued.
n.
Precise signification; import; as, the value of a word; the value of a legal instrument
v. i.
Proceeding from no known authority; unauthenticated; uncertain; flying; as, a vague report.
v. t.
To raise to estimation; to cause to have value, either real or apparent; to enhance in value.
a.
Not prized or valued; being without value.
n.
One who estimates or values; a valuer.
a.
Highly regarded; esteemed; prized; as, a valued contributor; a valued friend.