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ACTIVATING FUNCTION

  • Activation function
  • Artificial neural network node function

    In artificial neural networks, the activation function of a node is a function that calculates the output of the node based on its individual inputs and

    Activation function

    Activation function

    Activation_function

  • Activating function
  • Approximation of the effect of an electric field on neurons

    The activating function is a mathematical formalism that is used to approximate the influence of an extracellular field on an axon or neurons. It was

    Activating function

    Activating_function

  • Softmax function
  • Smooth approximation of one-hot arg max

    function to multiple dimensions, and is used in multinomial logistic regression. The softmax function is often used as the last activation function of

    Softmax function

    Softmax_function

  • Multilayer perceptron
  • Type of feedforward neural network

    function as its nonlinear activation function. However, the backpropagation algorithm requires that modern MLPs use continuous activation functions such

    Multilayer perceptron

    Multilayer_perceptron

  • Rectified linear unit
  • Type of activation function

    (rectified linear unit) activation function is an activation function defined as the non-negative part of its argument, i.e., the ramp function: ReLU ⁡ ( x ) =

    Rectified linear unit

    Rectified linear unit

    Rectified_linear_unit

  • Sigmoid function
  • Mathematical function having a characteristic S-shaped curve or sigmoid curve

    functions including the logistic and hyperbolic tangent functions have been used as the activation function of artificial neurons. Sigmoid curves are also common

    Sigmoid function

    Sigmoid function

    Sigmoid_function

  • Feedforward neural network
  • Type of artificial neural network

    other fields studying brain networks. The two historically common activation functions are both sigmoids, and are described by y ( v i ) = tanh ⁡ ( v i

    Feedforward neural network

    Feedforward neural network

    Feedforward_neural_network

  • Backpropagation
  • Optimization algorithm for artificial neural networks

    function and activation functions do not matter as long as they and their derivatives can be evaluated efficiently. Traditional activation functions include

    Backpropagation

    Backpropagation

  • Artificial neuron
  • Mathematical function conceived as a crude model

    before being passed through a nonlinear function known as an activation function. Depending on the task, these functions could have a sigmoid shape (e.g. for

    Artificial neuron

    Artificial neuron

    Artificial_neuron

  • Vanishing gradient problem
  • Machine learning model training problem

    entirely. For instance, consider the hyperbolic tangent activation function. The gradients of this function are in range [0,1]. The product of repeated multiplication

    Vanishing gradient problem

    Vanishing_gradient_problem

  • Hopfield network
  • Form of artificial neural network

    Hopfield network with binary activation functions. In a 1984 paper he extended this to continuous activation functions. It became a standard model for

    Hopfield network

    Hopfield_network

  • Transformer (deep learning)
  • Algorithm for modelling sequential data

    was much faster. The original transformer uses ReLU activation function. Other activation functions were developed. The Llama series and PaLM used SwiGLU;

    Transformer (deep learning)

    Transformer (deep learning)

    Transformer_(deep_learning)

  • Universal approximation theorem
  • Property of artificial neural networks

    states that if the layer's activation function is non-polynomial (which is true for common choices like the sigmoid function or ReLU), then the network

    Universal approximation theorem

    Universal_approximation_theorem

  • Long short-term memory
  • Recurrent neural network architecture

    multi-layer) neural network: that is, they compute an activation (using an activation function) of a weighted sum. i t , o t {\displaystyle i_{t},o_{t}}

    Long short-term memory

    Long short-term memory

    Long_short-term_memory

  • Acetylcholine
  • Organic chemical and neurotransmitter

    homolog. Partly because of acetylcholine's muscle-activating function, but also because of its functions in the autonomic nervous system and brain, many

    Acetylcholine

    Acetylcholine

    Acetylcholine

  • Activator (genetics)
  • Protein that increases transcription of a gene or set of genes

    transcription machinery is referred to as an "activating region" or "activation domain". Most activators function by binding sequence-specifically to a regulatory

    Activator (genetics)

    Activator_(genetics)

  • Swish function
  • Mathematical activation function in data analysis

    The swish function is a family of mathematical function defined as follows: swish β ⁡ ( x ) = x sigmoid ⁡ ( β x ) = x 1 + e − β x . {\displaystyle \operatorname

    Swish function

    Swish function

    Swish_function

  • Neural network (machine learning)
  • Computational model used in machine learning

    each neuron is computed by some non-linear function of the totality of its inputs, called the activation function. The strength of the signal at each connection

    Neural network (machine learning)

    Neural network (machine learning)

    Neural_network_(machine_learning)

  • Radial basis function network
  • Type of artificial neural network

    modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the network

    Radial basis function network

    Radial_basis_function_network

  • Reticular formation
  • Spinal trigeminal nucleus

    ascending reticular activating system (ARAS), also known as the extrathalamic control modulatory system or simply the reticular activating system (RAS), is

    Reticular formation

    Reticular formation

    Reticular_formation

  • Ramp function
  • Piecewise function that clamps its input to be non-negative

    mathematics, the ramp function is also known as the positive part. In machine learning, it is commonly known as a ReLU activation function or a rectifier in

    Ramp function

    Ramp function

    Ramp_function

  • Residual neural network
  • Type of artificial neural network

    )=H(x;a)+x} . The function F {\displaystyle F} is often represented by matrix multiplication interlaced with activation functions and normalization operations

    Residual neural network

    Residual neural network

    Residual_neural_network

  • Logistic function
  • S-shaped curve

    A logistic function or logistic curve is a common S-shaped curve (sigmoid curve) with the equation f ( x ) = L 1 + e − k ( x − x 0 ) {\displaystyle f(x)={\frac

    Logistic function

    Logistic function

    Logistic_function

  • Convolutional neural network
  • Type of feedforward neural network

    matrix. This product is usually the Frobenius inner product, and its activation function is commonly ReLU. As the convolution kernel slides along the input

    Convolutional neural network

    Convolutional_neural_network

  • Gal4 transcription factor
  • Pdr3, Leu3. Gal4 recognizes genes with UASG, an upstream activating sequence, and activates them. In yeast cells, the principal targets are GAL1 (galactokinase)

    Gal4 transcription factor

    Gal4_transcription_factor

  • Kolmogorov–Arnold Networks
  • Type of artificial neural network architecture

    (MLPs), which rely on fixed activation functions and linear weights, KANs replace each weight with a learnable univariate function, often represented using

    Kolmogorov–Arnold Networks

    Kolmogorov–Arnold_Networks

  • Perceptron
  • Algorithm for supervised learning of binary classifiers

    for supervised learning of binary classifiers. A binary classifier is a function that can decide whether or not an input, represented by a vector of numbers

    Perceptron

    Perceptron

  • Connectionism
  • Cognitive science approach

    input and output units, and used a sigmoid activation function instead of the old "all-or-nothing" function. Their work built upon that of John Hopfield

    Connectionism

    Connectionism

    Connectionism

  • Recurrent neural network
  • Class of artificial neural network

    Hopfield network with binary activation functions. In a 1984 paper he extended this to continuous activation functions. It became a standard model for

    Recurrent neural network

    Recurrent_neural_network

  • Modern Hopfield network
  • Neural networks

    the energy function or neurons’ activation functions) leading to super-linear (even an exponential) memory storage capacity as a function of the number

    Modern Hopfield network

    Modern_Hopfield_network

  • Kunihiko Fukushima
  • Japanese computer scientist (born 1936)

    vision. In 1969 Fukushima introduced the ReLU (Rectifier Linear Unit) activation function in the context of visual feature extraction in hierarchical neural

    Kunihiko Fukushima

    Kunihiko_Fukushima

  • Function (computer programming)
  • Sequence of program instructions invokable by other software

    In computer programming, a function (also procedure, method, subroutine, routine, or subprogram) is a callable unit of software logic that has a well-formed

    Function (computer programming)

    Function_(computer_programming)

  • Platelet-activating factor
  • Chemical compound

    Platelet-activating factor, also known as PAF, PAF-acether or AGEPC (acetyl-glyceryl-ether-phosphorylcholine), is a potent phospholipid activator and mediator

    Platelet-activating factor

    Platelet-activating_factor

  • Transactivation domain
  • Transcription factor scaffold domain

    The transactivation domain or trans-activating domain (TAD) is a transcription factor scaffold domain which contains binding sites for other proteins such

    Transactivation domain

    Transactivation_domain

  • Mathematics of neural networks in machine learning
  • Type of network

    stays fixed unless changed by learning, an activation function f {\displaystyle f} that computes the new activation at a given time t + 1 {\displaystyle t+1}

    Mathematics of neural networks in machine learning

    Mathematics_of_neural_networks_in_machine_learning

  • PyTorch
  • Deep learning library

    one of many activation functions provided by nn nn.Linear(512, 512), nn.ReLU(), nn.Linear(512, 10), ) def forward(self, x): # This function defines the

    PyTorch

    PyTorch

  • Frequency principle/spectral bias
  • Phenomenon observed in the study of Artificial Neural Networks

    F-Principle is that the regularity of the activation function translates into the decay rate of the loss function in the frequency domain. The discovery

    Frequency principle/spectral bias

    Frequency_principle/spectral_bias

  • Upstream activating sequence
  • its essential role in activating transcription, the upstream activating sequence is often considered to be analogous to the function of the enhancer in multicellular

    Upstream activating sequence

    Upstream_activating_sequence

  • Delta rule
  • Gradient descent learning rule in machine learning

    neural network with mean-square error loss function. For a neuron j {\displaystyle j} with activation function g ( x ) {\displaystyle g(x)} , the delta

    Delta rule

    Delta_rule

  • CAR T cell
  • Genetically engineered T cell

    are chimeric in that they combine both antigen-binding and T cell activating functions into a single receptor. CAR T cell therapy uses T cells engineered

    CAR T cell

    CAR_T_cell

  • Platelet
  • Component of blood aiding in coagulation

    the lining of vessels stop platelets from activating. An intact endothelial lining inhibits platelet activation by producing nitric oxide, endothelial-ADPase

    Platelet

    Platelet

    Platelet

  • Vapnik–Chervonenkis dimension
  • Notion in supervised machine learning

    certain increasing function of its input, such as the sign function or the sigmoid function. This function is called the activation function. The VC dimension

    Vapnik–Chervonenkis dimension

    Vapnik–Chervonenkis_dimension

  • SYNGAP1
  • Protein in Homo sapiens

    gene. SYNGAP1 is a ras GTPase-activating protein that is critical for the development of cognition and proper synapse function. Mutations in humans can cause

    SYNGAP1

    SYNGAP1

    SYNGAP1

  • Sonic hedgehog protein
  • Critical protein in embryonic development

    proteins have a C-terminal activation domain and an N-terminal repressive domain. SHH is suggested to promote the activation function of Gli2 and inhibit repressive

    Sonic hedgehog protein

    Sonic hedgehog protein

    Sonic_hedgehog_protein

  • GTPase-activating protein
  • Family of regulatory proteins

    GTPase-activating proteins or GTPase-accelerating proteins (GAPs) are a family of regulatory proteins whose members can bind to activated G proteins and

    GTPase-activating protein

    GTPase-activating_protein

  • Autoencoder
  • Neural network that learns efficient data encoding in an unsupervised manner

    learning). An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from

    Autoencoder

    Autoencoder

    Autoencoder

  • Gs alpha subunit
  • Mammalian protein found in Homo sapiens

    that stimulates the cAMP-dependent pathway by activating adenylyl cyclase. Gsα is a GTPase that functions as a cellular signaling protein. Gsα is the founding

    Gs alpha subunit

    Gs alpha subunit

    Gs_alpha_subunit

  • Hoot-n-holler
  • Permanent open-circuit communications system

    to pick up a phone, press a button or perform any other separate activation function. Among other uses, it is popular with stock brokerage and other financial

    Hoot-n-holler

    Hoot-n-holler

  • Efficiently updatable neural network
  • Neural network based evaluation function

    is possible because the first layer is merely linear, without an Activation function. The first layer is massive, often containing tens of thousands of

    Efficiently updatable neural network

    Efficiently updatable neural network

    Efficiently_updatable_neural_network

  • Gated recurrent unit
  • Memory unit used in neural networks

    need to be learned during training Activation functions σ {\displaystyle \sigma } : The original is a logistic function. ϕ {\displaystyle \phi } : The original

    Gated recurrent unit

    Gated_recurrent_unit

  • Killer-cell immunoglobulin-like receptor
  • Family of receptors found on NK cells

    triggering potentials induced by activating receptors. Thus, NK cells use a complex array of inhibitory or activating receptor/ligand interactions, the

    Killer-cell immunoglobulin-like receptor

    Killer-cell immunoglobulin-like receptor

    Killer-cell_immunoglobulin-like_receptor

  • ATF1
  • Protein-coding gene in humans

    protein that in humans is encoded by the ATF1 gene. This gene encodes an activating transcription factor, which belongs to the ATF subfamily and bZIP (basic-region

    ATF1

    ATF1

    ATF1

  • Sirtuin-activating compound
  • Chemical compounds having an effect on sirtuins

    Sirtuin-activating compounds (STAC) are chemical compounds having an effect on sirtuins, a group of enzymes that use NAD+ to remove acetyl groups from

    Sirtuin-activating compound

    Sirtuin-activating_compound

  • Hydraulic machinery
  • Type of machine that uses liquid fluid power to perform work

    advantage that activated functions are synchronized independent of pump flow capacity. The flow relation between two or more activated functions remains independent

    Hydraulic machinery

    Hydraulic machinery

    Hydraulic_machinery

  • Softplus
  • Smoothed ramp function

    softplus function is f ( x ) = ln ⁡ ( 1 + e x ) . {\displaystyle f(x)=\ln(1+e^{x}).} It is a smooth approximation (in fact, an analytic function) to the

    Softplus

    Softplus

    Softplus

  • Radial basis function
  • Type of mathematical function

    In mathematics a radial basis function (RBF) is a real-valued function φ {\textstyle \varphi } whose value depends only on the distance between the input

    Radial basis function

    Radial_basis_function

  • Lambert W function
  • Multivalued function in mathematics

    In mathematics, the Lambert W function, also called the omega function or product logarithm, is a multivalued function, namely the branches of the converse

    Lambert W function

    Lambert W function

    Lambert_W_function

  • Ackermann function
  • Quickly growing function

    Ackermann function, named after Wilhelm Ackermann, is one of the simplest and earliest-discovered examples of a total computable function that is not

    Ackermann function

    Ackermann_function

  • Activated PI3K delta syndrome
  • Medical condition

    Activated PI3K delta syndrome (APDS) is a primary immunodeficiency disease caused by activating gain of function mutations in the PIK3CD gene. The signs

    Activated PI3K delta syndrome

    Activated PI3K delta syndrome

    Activated_PI3K_delta_syndrome

  • Protein pigeon homolog
  • Protein-coding gene in the species Homo sapiens

    the full length protein is known as the γ-secretase activating protein (GSAP). γ-secretase activating protein (GSAP) increases β-amyloid production through

    Protein pigeon homolog

    Protein pigeon homolog

    Protein_pigeon_homolog

  • Pituitary adenylate cyclase-activating peptide
  • Protein-coding gene in the species Homo sapiens

    receptor. This gene encodes adenylate cyclase-activating polypeptide 1. Mediated by adenylate cyclase-activating polypeptide 1 receptors, this polypeptide

    Pituitary adenylate cyclase-activating peptide

    Pituitary adenylate cyclase-activating peptide

    Pituitary_adenylate_cyclase-activating_peptide

  • Melanocortin 1 receptor
  • Protein controlling mammalian coloration

    loss-of-function mutations of MC1R have been described, with redheads often having multiple individual loss-of-function mutations, but as of 2001, activating

    Melanocortin 1 receptor

    Melanocortin 1 receptor

    Melanocortin_1_receptor

  • Griewank function
  • The Griewank test function is a smooth multidimensional mathematical function used in unconstrained optimization. It is commonly employed to evaluate

    Griewank function

    Griewank function

    Griewank_function

  • Ubiquitin-activating enzyme
  • Class of enzymes

    Ubiquitin Activating Enzyme: A Kinetic and Equilibrium Analysis" by Arthur Haas. Haas AL, Rose IA (September 1982). "The mechanism of ubiquitin activating enzyme

    Ubiquitin-activating enzyme

    Ubiquitin-activating enzyme

    Ubiquitin-activating_enzyme

  • Coagulation
  • Process of formation of blood clots

    vessel wall). Activation of platelets and platelet plug formation: Platelet activation: Platelet activators, such as platelet activating factor and thromboxane

    Coagulation

    Coagulation

    Coagulation

  • Extreme learning machine
  • Type of artificial neural network

    of input-to-hidden-layer weights, σ {\displaystyle \sigma } is an activation function, and W2 is the matrix of hidden-to-output-layer weights. The algorithm

    Extreme learning machine

    Extreme_learning_machine

  • B cell
  • Type of white blood cell

    B cells, also known as B lymphocytes, are a type of lymphocyte. They function in the humoral immunity component of the adaptive immune system. B cells

    B cell

    B cell

    B_cell

  • Norepinephrine
  • Catecholamine hormone and neurotransmitter

    insects, octopamine has alerting and activating functions that correspond (at least roughly) with the functions of norepinephrine in vertebrates. It has

    Norepinephrine

    Norepinephrine

    Norepinephrine

  • Quantum neural network
  • Quantum Mechanics in Neural Networks

    leads to probabilistic observation. Ideas to imitate the perceptron activation function with a quantum mechanical formalism reach from special measurements

    Quantum neural network

    Quantum neural network

    Quantum_neural_network

  • CD244
  • Protein found in humans

    variable-like domain and one Ig constant 2-like domain. CD244 can function as an activating or inhibitory receptor. The expression and availability of an

    CD244

    CD244

    CD244

  • RNA activation
  • Biological gene-regulation phenomenon

    interference (RNAi) to describe such gene activation phenomenon. dsRNAs that trigger RNAa have been termed small activating RNA (saRNA). Unlike RNAi, where small

    RNA activation

    RNA_activation

  • Batch normalization
  • Method of improving artificial neural network

    y_{i}^{(k)}}}} depends on the choice of activation function, and the gradient against other parameters could be expressed as a function of ∂ l ∂ y i ( k ) {\displaystyle

    Batch normalization

    Batch_normalization

  • CDK-activating kinase
  • tumor cells. In mammals, activating phosphorylation by CAK can only occur once cyclin is bound. In budding yeast, activating phosphorylation by CAK can

    CDK-activating kinase

    CDK-activating kinase

    CDK-activating_kinase

  • Activation
  • Concept in chemistry and biology

    biologically active molecules acquire the ability to perform their biological function, such as inactive zymogens (proenzymes) being converted into active enzymes

    Activation

    Activation

  • Androgen receptor
  • Mammalian protein found in humans

    potent agonist for androgen receptor activation. Testosterone appears to be the primary androgen receptor-activating hormone in the Wolffian duct, whereas

    Androgen receptor

    Androgen receptor

    Androgen_receptor

  • Spiking neural network
  • Artificial neural network that mimics neurons

    networks" defined as ANNs "based on computational units that apply activation function with a continuous set of possible output values to a weighted sum

    Spiking neural network

    Spiking neural network

    Spiking_neural_network

  • Brain
  • Organ central to the nervous system

    The functions of these synapses are very diverse: some are excitatory (exciting the target cell); others are inhibitory; others work by activating second

    Brain

    Brain

    Brain

  • Hill equation (biochemistry)
  • Diagram showing the proportion of a receptor bound to a ligand

    equations that reflect the binding of ligands to macromolecules, as a function of the ligand concentration. A ligand is "a substance that forms a complex

    Hill equation (biochemistry)

    Hill equation (biochemistry)

    Hill_equation_(biochemistry)

  • Alexander Luria
  • Russian neuropsychologist (1902–1977)

    regulating function of speech thus appears as a main factor in the formation of voluntary behavior ... at first, the activating function is formed, and

    Alexander Luria

    Alexander Luria

    Alexander_Luria

  • FCGR2B
  • Antibody fragment receptor in humoral immunity

    co-expressed with the activating FCGRA on circulating myeloid dendritic cells. The receptor inhibits the functions of activating FcγRs, such as phagocytosis

    FCGR2B

    FCGR2B

    FCGR2B

  • ASAP2
  • Protein-coding gene in the species Homo sapiens

    encoded protein is tyrosine phosphorylated by activated PTK2B. In vitro it shows strong GTPase-activating protein (GAP) activity towards the small GTPases

    ASAP2

    ASAP2

    ASAP2

  • Predictive Model Markup Language
  • Predictive model interchange format

    modelName) Function Name (attribute functionName) Algorithm Name (attribute algorithmName) Activation Function (attribute activationFunction) Number of

    Predictive Model Markup Language

    Predictive_Model_Markup_Language

  • Product activation
  • Software license validation procedure

    fully function until it determines whether it is authorized to fully function. Activation allows the software to stop blocking its use. An activation can

    Product activation

    Product_activation

  • Class activation mapping
  • Explainable AI technique

    increased the logit of the predicted class are of interest, a ReLU activation function is applied: L G r a d − C A M C ( x , y ) = R e L U ( ∑ k α k C A

    Class activation mapping

    Class_activation_mapping

  • Ridge function
  • In mathematics, a ridge function is any function f : R d → R {\displaystyle f:\mathbb {R} ^{d}\rightarrow \mathbb {R} } that can be written as the composition

    Ridge function

    Ridge_function

  • Endothelium
  • Layer of cells that line the inner surface of blood vessels

    general outline of angiogenesis is activating signals binding to surface receptors of vascular endothelial cells. activated endothelial cells release proteases

    Endothelium

    Endothelium

    Endothelium

  • Kruppel-like factors
  • Family of zinc finger transcription factors

    transcriptional activation activity but, similar to Klf4, binds p300 which acetylates the first zinc finger conferring a trans-activating function. Importantly

    Kruppel-like factors

    Kruppel-like_factors

  • Transcription factor
  • Protein that regulates the rate of DNA transcription

    sites are frequently referred to as activation functions (AFs), Transactivation domain (TAD) or Trans-activating domain TAD, not to be confused with topologically

    Transcription factor

    Transcription factor

    Transcription_factor

  • Enzyme activator
  • Molecules which increase enzyme activity

    glucagon. Hexokinase-I (HK-I) is an enzyme activator because it draws glucose into the glycolysis pathway. Its function is to phosphorylate glucose releasing

    Enzyme activator

    Enzyme_activator

  • ABR, RhoGEF and GTPase activating protein
  • Protein-coding gene in the species Homo sapiens

    and has shown to share similar protein functions. The protein encoded by this gene contains a GTPase-activating protein domain, a domain found in members

    ABR, RhoGEF and GTPase activating protein

    ABR, RhoGEF and GTPase activating protein

    ABR,_RhoGEF_and_GTPase_activating_protein

  • Mutation
  • Alteration in the nucleotide sequence of a genome

    caused by a loss-of-function mutation include Gitelman syndrome and cystic fibrosis. Gain-of-function mutations also called activating mutations, change

    Mutation

    Mutation

    Mutation

  • Activating transcription factor
  • Class of DNA-binding proteins that regulate gene transcription

    nomenclature of the activating transcription factor/cAMP responsive element binding family of transcription factors: activating transcription factor

    Activating transcription factor

    Activating_transcription_factor

  • Death-associated protein 6
  • Protein found in humans

    cell death. The real apoptotic process starts after activating this pathway. Daxx does not activate JNK itself but rather the upstream JNK kinase kinase

    Death-associated protein 6

    Death-associated protein 6

    Death-associated_protein_6

  • Lanyard
  • Necklace used to hold ID cards or other items

    strap that may serve any of various functions, which include a means of attachment, restraint, retrieval, activation, and deactivation. The earliest references

    Lanyard

    Lanyard

    Lanyard

  • Sequential function chart
  • Graphical programming language

    Sequential function chart (SFC) is a visual programming language used for programmable logic controllers (PLCs). It is one of the five languages defined

    Sequential function chart

    Sequential function chart

    Sequential_function_chart

  • Plasminogen activator inhibitor-1
  • Human protein

    inhibitor (serpin) that functions as the principal inhibitor of tissue-type plasminogen activator (tPA) and urokinase (uPA), the activators of plasminogen and

    Plasminogen activator inhibitor-1

    Plasminogen activator inhibitor-1

    Plasminogen_activator_inhibitor-1

  • Learning rule
  • Artificial neural network algorithm

    response and the actual response of a neuron. The step function is often used as an activation function, and the outputs are generally restricted to -1, 0

    Learning rule

    Learning_rule

  • NamiRNAs
  • in the nucleus, which can activate gene expression by binding to the enhancer, and therefore were named nuclear activating miRNAs (NamiRNAs), such as

    NamiRNAs

    NamiRNAs

  • UBA2
  • Protein-coding gene in the species Homo sapiens

    Ubiquitin-like 1-activating enzyme E1B (UBLE1B) also known as SUMO-activating enzyme subunit 2 (SAE2) is an enzyme that in humans is encoded by the UBA2

    UBA2

    UBA2

    UBA2

  • Smooth maximum
  • Mathematical approximation

    approximation to the maximum function max ( x 1 , … , x n ) , {\displaystyle \max(x_{1},\ldots ,x_{n}),} meaning a parametric family of functions m α ( x 1 , … , x

    Smooth maximum

    Smooth_maximum

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ACTIVATING FUNCTION

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Online names & meanings

  • Trevelian
  • Boy/Male

    Welsh

    Trevelian

    From Elian's home.

  • Karanpal
  • Boy/Male

    Indian, Punjabi, Sikh

    Karanpal

    Protector of Karan

  • Sujog
  • Boy/Male

    Indian, Punjabi, Sikh

    Sujog

    Beauteous Union with God

  • Abhijay
  • Boy/Male

    Indian

    Abhijay

    Victorious, Conquest, Complete victory

  • Harbinod
  • Boy/Male

    Indian, Punjabi, Sikh

    Harbinod

    One who Delights in God

  • Julina
  • Girl/Female

    Spanish

    Julina

    Jove's child. A feminine of Julian.

  • Donalt
  • Boy/Male

    Scottish

    Donalt

    Great cheif, world mighty. From the Gaelic Domhnall. The name Donald has been borne by a number...

  • CampbeIl
  • Boy/Male

    Gaelic

    CampbeIl

    Crooked mouth.

  • Ashesh | ஆஷேஷ
  • Boy/Male

    Tamil

    Ashesh | ஆஷேஷ

    Perfect, Complete, Godly

  • Utkalita | உத்கலீதா
  • Girl/Female

    Tamil

    Utkalita | உத்கலீதா

    Brilliant, Blossoming

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ACTIVATING FUNCTION

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ACTIVATING FUNCTION

  • Functionate
  • v. i.

    To execute or perform a function; to transact one's regular or appointed business.

  • Functional
  • a.

    Pertaining to the function of an organ or part, or to the functions in general.

  • Functionaries
  • pl.

    of Functionary

  • Functionless
  • a.

    Destitute of function, or of an appropriate organ. Darwin.

  • Homodromous
  • a.

    Moving in the same direction; -- said of a lever or pulley in which the resistance and the actuating force are both on the same side of the fulcrum or axis.

  • Function
  • v. i.

    Alt. of Functionate

  • Captivation
  • n.

    The act of captivating.

  • Lady-killing
  • n.

    The art or practice of captivating the hearts of women.

  • Captation
  • n.

    A courting of favor or applause, by flattery or address; a captivating quality; an attraction.

  • Functionalize
  • v. t.

    To assign to some function or office.

  • Functional
  • a.

    Pertaining to, or connected with, a function or duty; official.

  • Functionary
  • n.

    One charged with the performance of a function or office; as, a public functionary; secular functionaries.

  • Functionally
  • adv.

    In a functional manner; as regards normal or appropriate activity.

  • Catching
  • a.

    Captivating; alluring.

  • Actuating
  • p. pr. & vb. n.

    of Actuate

  • Captivating
  • a.

    Having power to captivate or charm; fascinating; as, captivating smiles.

  • Captivating
  • p. pr. & vb. n.

    of Captivate

  • Bewitching
  • a.

    Having power to bewitch or fascinate; enchanting; captivating; charming.

  • Heterodromous
  • a.

    Moving in opposite directions; -- said of a lever, pulley, etc., in which the resistance and the actuating force are on opposite sides of the fulcrum or axis.

  • Killing
  • a.

    Literally, that kills; having power to kill; fatal; in a colloquial sense, conquering; captivating; irresistible.