quspin.basis.tensor_basis¶
-
class
quspin.basis.
tensor_basis
(*basis_list)[source]¶ Constructs basis in tensor product Hilbert space.
The tensor_basis class combines two basis objects basis1 and basis2 together into a new basis object which can be then used, e.g., to create the Hamiltonian over the tensor product Hilbert space:
\[\mathcal{H}=\mathcal{H}_1\otimes\mathcal{H}_2\]Notes
The tensor_basis operator strings are separated by a pipe symbol, ‘|’. However, the index array has NO pipe symbol.
The tensor_basis class does not allow one to make use of symmetries, save for particle conservation.
Examples
The following code shows how to construct the Fermi-Hubbard Hamiltonian by tensoring two spinless_fermion_basis_1d objects. This model can also be set up using the spinful_fermion_basis_1d class), which also allows the implementation of symmetries.
Notice that the operator strings for constructing Hamiltonians with a tensor_basis object are separated by a pipe symbol, ‘|’, while the index array has no splitting pipe character.
The code snippet below initiates the class, and is required to run the example codes for the function methods.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
from quspin.operators import hamiltonian# operators from quspin.basis import tensor_basis,spinless_fermion_basis_1d # Hilbert spaces from quspin.tools.measurements import obs_vs_time # calculating dynamics import numpy as np # general math functions # ##### setting parameters for simulation # physical parameters L = 8 # system size N = L//2 # number of particles N_up = N//2 + N % 2 # number of fermions with spin up N_down = N//2 # number of fermions with spin down J = 1.0 # hopping strength U = 5.0 # interaction strength # ###### create the basis # build the two bases to tensor together to spinful fermions basis_up = spinless_fermion_basis_1d(L,Nf=N_up) # up basis basis_down = spinless_fermion_basis_1d(L,Nf=N_down) # down basis basis = tensor_basis(basis_up,basis_down) # spinful fermions print(basis) # ##### create model # define site-coupling lists hop_right = [[-J,i,i+1] for i in range(L-1)] # hopping to the right OBC hop_left = [[J,i,i+1] for i in range(L-1)] # hopping to the left OBC int_list = [[U,i,i] for i in range(L)] # onsite interaction # create static lists static = [ ["+-|", hop_left], # up hop left ["-+|", hop_right], # up hop right ["|+-", hop_left], # down hop left ["|-+", hop_right], # down hop right ["n|n", int_list], # onsite interaction ] # ###### setting up operators # set up hamiltonian dictionary and observable (imbalance I) no_checks = dict(check_pcon=False,check_symm=False,check_herm=False) H = hamiltonian(static,[],basis=basis,**no_checks)
Attributes: N
int: number of sites the basis is constructed with.
Ns
int: number of states in the Hilbert space.
basis_left
basis
: first basis constructor out of the basis objects list to be tensored.basis_right
basis
: all others basis constructors except for the first one of the basis objects list to be tensored.blocks
dict: contains the quantum numbers (blocks) for the symmetry sectors.
operators
set: set of available operator strings.
sps
int: number of states per site (i.e. the on-site Hilbert space dimension).
Methods
Op
(opstr, indx, J, dtype)Constructs operator from a site-coupling list and an operator string in the tensor basis. check_hermitian
(static, dynamic)Checks operator string lists for hermiticity of the combined operator. check_pcon
(static, dynamic)Checks operator string lists for particle number (magnetisation) conservartion of the combined operator. check_symm
(static, dynamic)Checks operator string lists for the required symmetries of the combined operator. ent_entropy
(state[, sub_sys_A, return_rdm, …])Calculates entanglement entropy of subsystem A and the corresponding reduced density matrix expanded_form
([static, dynamic])Splits up operator strings containing “x” and “y” into operator combinations of “+” and “-“. get_proj
(dtype[, full_left, full_right])Calculates transformation/projector from symmetry-reduced basis to full (symmetry-free) basis. get_vec
(v0[, sparse, full_left, full_right])Transforms state from symmetry-reduced basis to full (symmetry-free) basis. index
(*states)Finds the index of user-defined Fock state in tensor basis. inplace_Op
(v_in, opstr, indx, J, dtype[, …])Calculates the action of an operator on a state. partial_trace
(state[, sub_sys_A, …])Calculates reduced density matrix, through a partial trace of a quantum state in tensor_basis. -
__init__
(*basis_list)[source]¶ Initialises the tensor_basis object (basis for tensor product Hilbert spaces).
Parameters: - basis_list : list(
basis
) List of basis objects to tensor together. Required minimum number is two.
- basis_list : list(
Methods
Op
(opstr, indx, J, dtype)Constructs operator from a site-coupling list and an operator string in the tensor basis. __init__
(*basis_list)Initialises the tensor_basis object (basis for tensor product Hilbert spaces). check_hermitian
(static, dynamic)Checks operator string lists for hermiticity of the combined operator. check_pcon
(static, dynamic)Checks operator string lists for particle number (magnetisation) conservartion of the combined operator. check_symm
(static, dynamic)Checks operator string lists for the required symmetries of the combined operator. ent_entropy
(state[, sub_sys_A, return_rdm, …])Calculates entanglement entropy of subsystem A and the corresponding reduced density matrix expanded_form
([static, dynamic])Splits up operator strings containing “x” and “y” into operator combinations of “+” and “-“. get_proj
(dtype[, full_left, full_right])Calculates transformation/projector from symmetry-reduced basis to full (symmetry-free) basis. get_vec
(v0[, sparse, full_left, full_right])Transforms state from symmetry-reduced basis to full (symmetry-free) basis. index
(*states)Finds the index of user-defined Fock state in tensor basis. inplace_Op
(v_in, opstr, indx, J, dtype[, …])Calculates the action of an operator on a state. partial_trace
(state[, sub_sys_A, …])Calculates reduced density matrix, through a partial trace of a quantum state in tensor_basis. Attributes
N
int: number of sites the basis is constructed with. Ns
int: number of states in the Hilbert space. basis_left
basis
: first basis constructor out of the basis objects list to be tensored.basis_right
basis
: all others basis constructors except for the first one of the basis objects list to be tensored.blocks
dict: contains the quantum numbers (blocks) for the symmetry sectors. operators
set: set of available operator strings. sps
int: number of states per site (i.e. -
N
¶ int: number of sites the basis is constructed with.
-
Ns
¶ int: number of states in the Hilbert space.
-
Op
(opstr, indx, J, dtype)[source]¶ Constructs operator from a site-coupling list and an operator string in the tensor basis.
Parameters: - opstr : str
Operator string in the tensor basis format. For instance: >>> opstr = “z|z”
- indx : list(int)
List of integers to designate the sites the tensor basis operator is defined on. For instance: >>> indx = [1,5]
- J : scalar
Coupling strength.
- dtype : ‘type’
Data type (e.g. numpy.float64) to construct the operator with.
Returns: - tuple
- (ME,row,col), where
- numpy.ndarray(scalar): ME: matrix elements of type dtype.
- numpy.ndarray(int): row: row indices of matrix representing the operator in the tensor basis,
- such that row[i] is the row index of ME[i].
- numpy.ndarray(int): col: column index of matrix representing the operator in the tensor basis,
- such that col[i] is the column index of ME[i].
Examples
>>> J = 1.41 >>> indx = [1,5] >>> opstr = "z|z" >>> dtype = np.float64 >>> ME, row, col = Op(opstr,indx,J,dtype)
-
basis_left
¶ basis
: first basis constructor out of the basis objects list to be tensored.
-
basis_right
¶ basis
: all others basis constructors except for the first one of the basis objects list to be tensored.
-
blocks
¶ dict: contains the quantum numbers (blocks) for the symmetry sectors.
-
check_hermitian
(static, dynamic)¶ Checks operator string lists for hermiticity of the combined operator.
Parameters: - static: list
Static operators formatted to be passed into the static argument of the hamiltonian class.
- dynamic: list
Dynamic operators formatted to be passed into the dynamic argument of the hamiltonian class.
-
check_pcon
(static, dynamic)¶ Checks operator string lists for particle number (magnetisation) conservartion of the combined operator.
Parameters: - static: list
Static operators formatted to be passed into the static argument of the hamiltonian class.
- dynamic: list
Dynamic operators formatted to be passed into the dynamic argument of the hamiltonian class.
-
check_symm
(static, dynamic)¶ Checks operator string lists for the required symmetries of the combined operator.
Parameters: - static: list
Static operators formatted to be passed into the static argument of the hamiltonian class.
- dynamic: list
Dynamic operators formatted to be passed into the dynamic argument of the hamiltonian class.
-
ent_entropy
(state, sub_sys_A='left', return_rdm=None, enforce_pure=False, return_rdm_EVs=False, sparse=False, alpha=1.0, sparse_diag=True, maxiter=None)[source]¶ Calculates entanglement entropy of subsystem A and the corresponding reduced density matrix
\[S_\mathrm{ent}(\alpha) = \frac{1}{1-\alpha}\log \mathrm{tr}_{A} \left( \mathrm{tr}_{A^c} \vert\psi\rangle\langle\psi\vert \right)^\alpha \]Note: The logarithm used is the natural logarithm (base e).
Parameters: - state : obj
State of the quantum system. Can be either one of:
- numpy.ndarray [shape (Ns,)]: pure state (default).
- numpy.ndarray [shape (Ns,Ns)]: density matrix (DM).
- sub_sys_A : str, optional
Defines subsystem A. Can be either one of:
- “left”: refers to basis_left (Default).
- “right”: refers to basis_right.
- “both”: for initial mixed states the Renyi entropy of subsystem A and its complement
- B need not be the same. This option automatically sets return_rdm=both.
- return_rdm : str, optional
Toggles returning the reduced DM. Can be tierh one of:
- “A”: returns reduced DM of subsystem A.
- “B”: returns reduced DM of subsystem B (complement of A).
- “both”: returns reduced DM of both subsystems A and B.
- enforce_pure : bool, optional
Whether or not to assume state is a collection of pure states or a mixed density matrix, if it is a square array. Default is False.
- sparse : bool, optional
Whether or not to return a sparse DM. Default is False.
- return_rdm_EVs : bool, optional
Whether or not to return the eigenvalues of rthe educed DM. If return_rdm is specified, the eigenvalues of the corresponding DM are returned. If return_rdm is NOT specified, the spectrum of rdm_A is returned by default. Default is False.
- alpha : float, optional
Renyi \(\alpha\) parameter for the entanglement entropy. Default is \(\alpha=1\).
- sparse_diag : bool, optional
When sparse=True, this flag enforces the use of scipy.sparse.linalg.eigsh() to calculate the eigenvaues of the reduced DM.
- maxiter : int, optional
Specifies the number of iterations for Lanczos diagonalisation. Look up documentation for scipy.sparse.linalg.eigsh().
Returns: - dict
- Dictionary with following keys, depending on input parameters:
- “Sent_A”: entanglement entropy of subsystem A (default).
- “Sent_B”: entanglement entropy of subsystem B.
- “p_A”: singular values of reduced DM of subsystem A (default).
- “p_B”: singular values of reduced DM of subsystem B.
- “rdm_A”: reduced DM of subsystem A.
- “rdm_B”: reduced DM of subsystem B.
Notes
Algorithm is based on both partial tracing and sigular value decomposition (SVD), optimised for speed.
Examples
>>> ent_entropy(state,sub_sys_A="left",return_rdm="A",enforce_pure=False,return_rdm_EVs=False, >>> sparse=False,alpha=1.0,sparse_diag=True)
-
expanded_form
(static=[], dynamic=[])¶ Splits up operator strings containing “x” and “y” into operator combinations of “+” and “-“. This function is useful for higher spin hamiltonians where “x” and “y” operators are not appropriate operators.
Parameters: - static: list
Static operators formatted to be passed into the static argument of the hamiltonian class.
- dynamic: list
Dynamic operators formatted to be passed into the dynamic argument of the hamiltonian class.
Returns: - tuple
- (static, dynamic), where
- list: static: operator strings with “x” and “y” expanded into “+” and “-“, formatted to
- be passed into the static argument of the hamiltonian class.
- list: dynamic: operator strings with “x” and “y” expanded into “+” and “-“, formatted to
- be passed into the dynamic argument of the hamiltonian class.
Notes
This function works with the tensor_basis and other basis which use the “|” symbol in the opstr.
Examples
>>> static = [["xx",[[1.0,0,1]]],["yy",[[1.0,0,1]]]] >>> dynamic = [["y",[[1.0,0]],lambda t: t,[]]] >>> expanded_form(static,dynamic)
-
get_proj
(dtype, full_left=True, full_right=True)[source]¶ Calculates transformation/projector from symmetry-reduced basis to full (symmetry-free) basis.
Parameters: - dtype : ‘type’
Data type (e.g. numpy.float64) to construct the projector with.
- full_left : bool, optional
Whether or not to transform the state to the full state in basis_left. Default is True.
- full_right : bool, optional
Whether or not to transform the state to the full state in basis_right. Default is True.
Returns: - numpy.ndarray
Transformation/projector between the symmetry-reduced and the full basis.
Notes
Particularly useful when a given operation canot be carried away in the symmetry-reduced basis in a straightforward manner.
Examples
>>> P = get_proj(np.float64) >>> print(P.shape)
-
get_vec
(v0, sparse=True, full_left=True, full_right=True)[source]¶ Transforms state from symmetry-reduced basis to full (symmetry-free) basis.
Parameters: - v0 : numpy.ndarray
Contains in its columns the states in the symmetry-reduced basis.
- sparse : bool, optional
Whether or not the output should be in sparse format. Default is True.
- full_left : bool, optional
Whether or not to transform the state to the full state in basis_left. Default is True.
- full_right : bool, optional
Whether or not to transform the state to the full state in basis_right. Default is True.
Returns: - numpy.ndarray
Array containing the state v0 in the full basis.
Notes
Particularly useful when a given operation canot be carried away in the symmetry-reduced basis in a straightforward manner.
Supports parallelisation to multiple states listed in the columns.
Examples
>>> v_full = get_vec(v0) >>> print(v_full.shape, v0.shape)
-
index
(*states)[source]¶ Finds the index of user-defined Fock state in tensor basis.
Parameters: - states : list(str)
List of strings which separately define the Fock state in each of the basis used to construct the tensor_basis object.
Returns: - int
Position of tensor Fock state in the tensor_basis.
Notes
Particularly useful for defining initial Fock states through a unit vector in the direction specified by index().
Examples
>>> s_1 = "".join("1" for i in range(2)) + "".join("0" for i in range(2)) >>> s_2 = "".join("1" for i in range(4)) >>> print( basis.index(s_1,s_2) )
-
inplace_Op
(v_in, opstr, indx, J, dtype, transposed=False, conjugated=False, v_out=None)¶ Calculates the action of an operator on a state.
Parameters: - v_in : array_like
state (or states stored in columns) to act on with the operator.
- opstr : str
Operator string in the lattice basis format. For instance:
>>> opstr = "zz"
- indx : list(int)
List of integers to designate the sites the lattice basis operator is defined on. For instance:
>>> indx = [2,3]
- J : scalar
Coupling strength.
- dtype : ‘type’
Data type (e.g. numpy.float64) to construct the operator with.
- transposed : bool, optional
if True this function will act with the trasposed operator.
- conjugated : bool, optional
if True this function will act with the conjugated operator.
- v_out : array_like
output array, must be the same shape as v_in and must match the type of the output.
Returns: - numpy.ndarray
- if v_out is not None, this function modifies v_out inplace and returns it.
Notes
This function works with the tensor_basis and other basis which use the “|” symbol in the opstr.
Examples
>>> J = 1.41 >>> indx = [2,3] >>> opstr = "zz" >>> dtype = np.float64 >>> ME, row, col = Op(opstr,indx,J,dtype)
-
operators
¶ set: set of available operator strings.
-
partial_trace
(state, sub_sys_A='left', return_rdm=None, enforce_pure=False, sparse=False)[source]¶ Calculates reduced density matrix, through a partial trace of a quantum state in tensor_basis.
Parameters: - state : obj
State of the quantum system. Can be either one of:
- numpy.ndarray [shape (Ns,)]: pure state (default).
- numpy.ndarray [shape (Ns,Ns)]: density matrix (DM).
- sub_sys_A : str, optional
Defines subsystem A. Can be either one of:
- “left”: refers to basis_left (Default).
- “right”: refers to basis_right.
- “both”: for initial mixed states the Renyi entropy of subsystem A and its complement
- B need not be the same. This option automatically sets return_rdm=both.
- return_rdm : str, required
Toggles returning the reduced DM. Can be either one of:
- “A”: returns reduced DM of subsystem A.
- “B”: returns reduced DM of subsystem B (complement of A).
- “both”: returns reduced DM of both subsystems A and B.
- enforce_pure : bool, optional
Whether or not to assume state is a collection of pure states or a mixed density matrix, if it is a square array. Default is False.
- sparse : bool, optional
Whether or not to return a sparse DM. Default is False.
Returns: - numpy.ndarray
Density matrix associated with state. Depends on optional arguments.
Examples
>>> partial_trace(state,sub_sys_A=None,return_rdm="A",enforce_pure=False,sparse=False)
-
sps
¶ int: number of states per site (i.e. the on-site Hilbert space dimension).


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Transcendence
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Legends of Oz: Dorothy's Return
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|
300: Rise
of an Empire
|
BB
|
1 Nov 2014
|
The
Peaches
|
mp3
|
|
| 163
|
Dracula 3D
|
GB
|
18 Oct 2014
|
The
Peaches
|
mp3
|
|
| 162
|
The Quiet Ones
|
BB
|
4 Oct 2014
|
The
Peaches, Hallie
|
mp3
|
Guest Host: Hallie
Haglund
|
| 161
|
A Talking
Cat!?!
|
GB
|
20 Sep 2014
|
The
Peaches
|
mp3
|
|
| 160
|
God's Not Dead
|
BB
|
6 Sep 2014
|
The
Peaches
|
mp3
|
|
| 159
|
Walking
with Dinosaurs
|
BB
|
23 Aug 2014
|
Dan, Stuart, Kevin
|
mp3
|
Guest Host: Kevin Maher
|
| 158
|
Labor Day
|
BB
|
9 Aug 2014
|
The
Peaches
|
mp3
|
|
| 157
|
The
Legend of Hercules
|
GB
|
26 Jul 2014
|
The
Peaches
|
mp3
|
|
| 156
|
3 Days to Kill
|
SD
|
12 Jul 2014
|
The
Peaches, Jessica
|
mp3
|
Guest Host: Jessica
Williams
|
| 155
|
Last Vegas
|
SD
|
28 Jun 2014
|
The
Peaches
|
mp3
|
|
| 154
|
I, Frankenstein
|
SD
|
14 Jun 2014
|
The
Peaches
|
mp3
|
|
| 153
|
G.I. Joe:
Retaliation
|
BB
|
31 May 2014
|
The
Peaches
|
mp3
|
|
| 152
|
Easy
Rider: The Ride Back
|
GB
|
17 May 2014
|
The
Peaches
|
mp3
|
|
| 151
|
Any Which
Way You Can
|
SD
|
3 May 2014
|
The
Peaches
|
mp3
|
We
Hate Movies crossover
|
| 150
|
Grudge Match
|
BB
|
19 Apr 2014
|
The
Peaches
|
mp3
|
|
| 149
|
Paranoia
|
BB
|
5 Apr 2014
|
The
Peaches
|
mp3
|
|
| 148
|
Gangster Squad
|
SD
|
22 Mar 2014
|
The
Peaches
|
mp3
|
|
| 147
|
Devil's Pass and Awards Floptacular
|
BB
|
8 Mar 2014
|
The
Peaches
|
mp3
|
Awards Floptacular
|
| 146
|
B*A*P*S
|
BB
|
22 Feb 2014
|
The
Peaches
|
mp3
|
Film picked by a contest winner.
|
| 145
|
R.I.P.D.
|
BB
|
8 Feb 2014
|
The
Peaches
|
mp3
|
Elliott's first episode back from paternity leave.
|
| 144
|
Temptation: Confessions of a
Marriage Counselor
|
BB
|
25 Jan 2014
|
Dan, Stuart, Hallie
|
mp3
|
“My letter is read on this
episode. Probably my greatest achievement in life.”
—Little Dick Whitman
|
| 143
|
Battle of the
Year
|
GB
|
11 Jan 2014
|
Dan, Stuart, Hallie
|
mp3
|
Guest Host: Hallie
Haglund
|
| 142
|
Getaway
|
BB
|
28 Dec 2013
|
The
Peaches
|
mp3
|
|
| 141
|
Last Ounce
of Courage
|
SD
|
13 Dec 2013
|
The
Peaches
|
mp3
|
|
| 140
|
After Earth
|
BB
|
30 Nov 2013
|
The
Peaches
|
mp3
|
|
| 139
|
Star Wars Episode II: Attack of the Clones
|
SD
|
16 Nov 2013
|
The
Peaches
|
mp3
|
Part of Podcrawl
2013
|
| 138
|
Foodfight!
|
GB
|
2 Nov 2013
|
The
Peaches
|
mp3
|
|
| 137
|
The
Purge
|
BB
|
19 Oct 2013
|
The
Peaches
|
mp3
|
|
| 136
|
ATM
|
BB
|
5 Oct 2013
|
The
Peaches
|
mp3
|
|
| 135
|
Olympus Has
Fallen
|
BB
|
21 Sep 2013
|
The
Peaches
|
mp3
|
|
| 134
|
Upside Down
|
BB
|
7 Sep 2013
|
The
Peaches, Hallie
|
mp3
|
Guest Host: Hallie
Haglund
|
| 133
|
Bullet to the
Head
|
KL
|
24 Aug 2013
|
The
Peaches
|
mp3
|
|
| 132
|
Hansel and Gretel: Witch Hunters
|
KL
|
10 Aug 2013
|
The
Peaches
|
mp3
|
|
| 131
|
Marmaduke
|
BB
|
27 Jul 2013
|
The
Peaches
|
mp3
|
|
| 130
|
The Scarlet
Letter
|
BB
|
13 Jul 2013
|
The
Peaches
|
mp3
|
|
| 129
|
A Good Day to
Die Hard
|
BB
|
29 Jun 2013
|
The
Peaches
|
mp3
|
|
| 128
|
Red Dawn
|
BB
|
15 Jun 2013
|
The
Peaches
|
mp3
|
|
| 127
|
Safe Haven
|
BB
|
1 Jun 2013
|
The
Peaches
|
mp3
|
|
| 126
|
Playing for
Keeps
|
BB
|
17 May 2013
|
The
Peaches
|
mp3
|
|
| 125
|
Smiley
|
BB
|
5 May 2013
|
The
Peaches
|
mp3
|
|
| 124
|
Stolen
|
KL
|
20 Apr 2013
|
The
Peaches
|
mp3
|
|
| 123
|
That's My Boy
|
BB
|
6 Apr 2013
|
The
Peaches
|
mp3
|
|
| 122
|
Alex Cross
|
SD
|
23 Mar 2013
|
The
Peaches
|
mp3
|
|
| 121
|
The Oogieloves in the Big Balloon Adventure
|
BB
|
23 Feb 2013
|
The
Peaches
|
mp3
|
|
| 120
|
The
Paperboy
|
BB
|
9 Feb 2013
|
The
Peaches
|
mp3
|
|
| 119
|
The
Odd Life of Timothy Green
|
SD
|
26 Jan 2013
|
The
Peaches
|
mp3
|
|
| 118
|
Total Recall (2012)
|
BB
|
12 Jan 2013
|
The
Peaches
|
mp3
|
|
| 117
|
Seeking Justice
|
SD
|
29 Dec 2012
|
The
Peaches
|
mp3
|
|
| 116
|
Rock of Ages
|
SD
|
15 Dec 2012
|
Dan, Elliott, Hallie
|
mp3
|
Guest Host: Hallie
Haglund
|
| 115
|
Abraham Lincoln: Vampire Hunter
|
BB
|
2 Dec 2012
|
The
Peaches
|
mp3
|
|
| 114
|
Abduction
|
SD
|
15 Nov 2012
|
The
Peaches
|
mp3
|
|
| 113
|
The Devil Inside
|
BB
|
28 Oct 2012
|
The
Peaches
|
mp3
|
|
| 112
|
The
Raven
|
BB
|
13 Oct 2012
|
The
Peaches
|
mp3
|
|
| 111
|
A Little Bit of
Heaven
|
BB
|
29 Sep 2012
|
The
Peaches
|
mp3
|
|
| 110
|
Battleship
|
BB
|
15 Sep 2012
|
The
Peaches
|
mp3
|
|
| 109
|
Journey 2: The Mysterious Island
|
KL
|
1 Sep 2012
|
The
Peaches
|
mp3
|
|
| 108
|
Passion Play
|
SD
|
19 Aug 2012
|
The
Peaches
|
mp3
|
|
| 107
|
Ghost Rider: Spirit of Vengeance
|
BB
|
5 Aug 2012
|
The
Peaches
|
mp3
|
|
| 106
|
Immortals
|
BB
|
21 Jul 2012
|
The
Peaches
|
mp3
|
|
| 105
|
A Thousand Words
|
BB
|
30 Jun 2012
|
The
Peaches
|
mp3
|
|
| 104
|
Atlas
Shrugged: Part I
|
BB
|
17 Jun 2012
|
Dan, Elliott, Zhubin
|
mp3
|
Guest Host: Zhubin Parang
|
| 103
|
One For The
Money
|
SD
|
3 Jun 2012
|
The
Peaches
|
mp3
|
|
| 102
|
Cowboys &
Aliens
|
BB
|
19 May 2012
|
The
Peaches
|
mp3
|
|
| 101
|
The Last
Godfather
|
GB
|
4 May 2012
|
The
Peaches
|
mp3
|
Guest Host: Al Madrigal
|
| 100
|
Tango &
Cash
|
GB
|
21 Apr 2012
|
The
Peaches
|
mp3
|
|
| 99
|
The Three
Musketeers
|
BB
|
7 Apr 2012
|
The
Peaches
|
mp3
|
|
| 98
|
In Time
|
BB
|
23 Mar 2012
|
The
Peaches
|
mp3
|
|
| 97
|
Awards
Floptacular 2012
|
–
|
4 Mar 2012
|
The
Peaches
|
mp3
|
Awards Floptacular
|
| 96
|
Dream House
|
BB
|
18 Feb 2012
|
The
Peaches
|
mp3
|
|
| 95
|
Trespass
|
GB
|
28 Jan 2012
|
Dan, Elliott, Zhubin
|
mp3
|
Guest Host: Zhubin Parang
|
| 94
|
Conan the
Barbarian (2011)
|
SD
|
14 Jan 2012
|
The
Peaches
|
mp3
|
|
| 93
|
Green Lantern
|
SD
|
21 Dec 2011
|
The
Peaches
|
mp3
|
|
| 92
|
Country Strong
|
BB
|
4 Dec 2011
|
The
Peaches
|
mp3
|
|
| 91
|
Zookeeper
|
SD
|
21 Nov 2011
|
Dan, Elliott, Hallie
|
mp3
|
Guest Host: Hallie
Haglund
|
| 90
|
Red Riding Hood
|
GB
|
29 Oct 2011
|
The
Peaches, Alex
|
mp3
|
Guest Host: Alex Smith
|
| 89
|
Season of the
Witch
|
SD
|
14 Oct 2011
|
The
Peaches
|
mp3
|
|
| 88
|
Priest
|
BB
|
1 Oct 2011
|
Dan, Stuart, Tom
|
mp3
|
Guest Host: Tom Silvestro
|
| 87
|
My Soul to Take
|
BB
|
17 Sep 2011
|
The
Peaches
|
mp3
|
|
| 86
|
The Happiest
Millionaire
|
BB
|
2 Sep 2011
|
The
Peaches
|
mp3
|
|
| 85
|
Limitless
|
SD
|
31 Jul 2011
|
The
Peaches
|
mp3
|
|
| 84
|
Sucker Punch
|
BB
|
17 Jul 2011
|
The
Peaches
|
mp3
|
|
| 83
|
I Am Number
Four
|
BB
|
25 Jun 2011
|
The
Peaches
|
mp3
|
|
| 82
|
Drive Angry
|
KL
|
12 Jun 2011
|
The
Peaches
|
mp3
|
|
| 81
|
The Roommate
|
BB
|
28 May 2011
|
The
Peaches
|
mp3
|
|
| 80
|
The
Sorcerer's Apprentice
|
GB
|
6 May 2011
|
The
Peaches
|
mp3
|
|
| 79
|
Knight and Day
|
KL
|
22 Apr 2011
|
Dan, Elliott, Wyatt
|
mp3
|
Guest Host: Wyatt Cenac
|
| 78
|
Gooby
|
SD
|
10 Apr 2011
|
Dan, Stuart, Andy
|
mp3
|
Guest Host: Andy Rocco
|
| 77
|
Skyline
|
BB
|
27 Mar 2011
|
The
Peaches
|
mp3
|
|
| 76
|
Third Annual Awards Floptacular
|
–
|
5 Mar 2011
|
The
Peaches
|
mp3
|
Awards Floptacular
|
| 75
|
Prince of Persia: The Sands of Time
|
BB
|
17 Feb 2011
|
The
Peaches
|
mp3
|
|
| 74
|
Valentine's Day
|
BB
|
5 Feb 2011
|
The
Peaches
|
mp3
|
|
| 73
|
Devil
|
SD
|
22 Jan 2011
|
The
Peaches
|
mp3
|
|
| 72
|
Killers
|
BB
|
8 Jan 2011
|
Dan, Stuart, Lou
|
mp3
|
Guest Host: Lou Fernandez
|
| 71
|
The Last
Airbender
|
BB
|
19 Dec 2010
|
The
Peaches
|
mp3
|
|
| 70
|
Jonah Hex
|
BB
|
5 Dec 2010
|
The
Peaches
|
mp3
|
|
| 69
|
Big Money Rustlas
|
SD
|
12 Nov 2010
|
The
Peaches
|
mp3
|
|
| 68
|
Teen Witch
|
SD
|
29 Oct 2010
|
The
Peaches
|
mp3
|
Film picked by a contest winner.
|
| 67
|
The Uninvited
|
BB
|
17 Oct 2010
|
Dan, Stuart, John
|
mp3
|
Guest Host: John Kingman
|
| 66
|
Blood:
The Last Vampire
|
SD
|
2 Oct 2010
|
Dan, Elliott, Federico
|
mp3
|
Guest Host: Federico
Hatoum
|
| 65
|
Old Dogs
|
BB
|
15 Aug 2010
|
The
Peaches
|
mp3
|
|
| 64
|
Repo Men
|
BB
|
31 Jul 2010
|
The
Peaches
|
mp3
|
|
| 63
|
From Paris With
Love
|
BB
|
9 Jul 2010
|
The
Peaches
|
mp3
|
|
| 62
|
Legion
|
BB
|
19 Jun 2010
|
The
Peaches
|
mp3
|
|
| 61
|
Surrogates
|
BB
|
5 Jun 2010
|
The
Peaches
|
mp3
|
|
| 60
|
All About Steve
|
SD
|
20 May 2010
|
Dan, Stuart, Brock
|
mp3
|
Guest Host: Brock Mahan
|
| 59
|
Law Abiding
Citizen
|
BB
|
9 May 2010
|
The
Peaches
|
mp3
|
|
| 58
|
Twilight: New
Moon
|
BB
|
11 Apr 2010
|
The
Peaches
|
mp3
|
|
| 57
|
Sorority Row
|
SD
|
27 Mar 2010
|
Dan, Elliott, Eric
|
mp3
|
Guest Host: Eric
Zuckerman
|
| 56
|
Whiteout
|
BB
|
6 Mar 2010
|
Dan, Elliott, Amanda
|
mp3
|
Guest Host: Amanda Melson
|
| 55
|
The Ugly Truth
|
BB
|
21 Feb 2010
|
The
Peaches
|
mp3
|
|
| 54
|
Gamer
|
BB
|
6 Feb 2010
|
Dan, Elliott, Matt
|
mp3
|
Guest Host: Matt Koff
|
| 53
|
Hannah Montana:
The Movie
|
SD
|
23 Jan 2010
|
The
Peaches
|
mp3
|
|
| 52
|
Dragonball:
Evolution
|
SD
|
10 Jan 2010
|
Dan, Stuart, Nigel
|
mp3
|
Guest Host: Nigel Wood
|
| 51
|
X-Men
Origins: Wolverine
|
BB
|
12 Dec 2009
|
The
Peaches, Dash
|
mp3
|
Film picked by a contest winner.
|
| 50
|
Delgo
|
BB
|
22 Nov 2009
|
The
Peaches
|
mp3
|
|
| 49
|
Street Fighter: The Legend of Chun-Li
|
SD
|
8 Nov 2009
|
The
Peaches
|
mp3
|
|
| 48
|
The Chaos
Experiment
|
SD
|
25 Oct 2009
|
The
Peaches
|
mp3
|
|
| 47
|
The
Unborn
|
GB
|
10 Oct 2009
|
The
Peaches
|
mp3
|
|
| 46
|
Obsessed
|
BB
|
27 Sep 2009
|
The
Peaches
|
mp3
|
|
| 45
|
Skinwalkers
|
GB
|
13 Sep 2009
|
The
Peaches, Bob, Ritch
|
mp3
|
Guest Hosts: Bob Powers and Ritch Duncan
|
| 44
|
Knowing
|
BB
|
29 Aug 2009
|
The
Peaches
|
mp3
|
|
| 43
|
Righteous Kill
|
BB
|
15 Aug 2009
|
Dan, Elliott, Meghan
|
mp3
|
Guest Host: Meghan
O'Neill
|
| 42
|
Paul Blart:
Mall Cop
|
GB
|
2 Aug 2009
|
Dan, Stuart, Brock
|
mp3
|
Guest Host: Brock Mahan
|
| 41
|
12 Rounds
|
GB
|
19 Jul 2009
|
The
Peaches
|
mp3
|
|
| 40
|
Friday the 13th
|
KL
|
28 Jun 2009
|
The
Peaches
|
mp3
|
|
| 39
|
Bride Wars
|
BB
|
13 Jun 2009
|
Dan, Stuart, Amanda
|
mp3
|
Guest Host: Amanda Melson
|
| 38
|
Beverly Hills
Chihuahua
|
SD
|
30 May 2009
|
The
Peaches
|
mp3
|
|
| 37
|
Seven Pounds
|
BB
|
17 May 2009
|
The
Peaches
|
mp3
|
|
| 36
|
The
Spirit
|
BB
|
3 May 2009
|
The
Peaches
|
mp3
|
|
| 35
|
Fireproof
|
SD
|
15 Apr 2009
|
The
Peaches
|
mp3
|
|
| 34
|
Mirrors
|
BB
|
28 Mar 2009
|
The
Peaches
|
mp3
|
|
| 33
|
An American Carol
|
BB
|
14 Mar 2009
|
The
Peaches
|
mp3
|
|
| 32
|
Academy Awards
Floptacular
|
–
|
1 Mar 2009
|
The
Peaches
|
mp3
|
Awards Floptacular
|
| 31
|
Swing Vote
|
BB
|
15 Feb 2009
|
Dan, Stuart, Will
|
mp3
|
Guest Host: Will Hines
|
| 30
|
Bangkok Dangerous
|
BB
|
25 Jan 2009
|
The
Peaches
|
mp3
|
|
| 29
|
Step Up 2:
The Streets
|
BB
|
11 Jan 2009
|
The
Peaches
|
mp3
|
|
| 28
|
Mr. Magorium's Wonder Emporium
|
BB
|
14 Dec 2008
|
The
Peaches
|
mp3
|
|
| 27
|
27 Dresses
|
SD
|
23 Nov 2008
|
The
Peaches
|
mp3
|
|
| 26
|
88 Minutes
|
BB
|
9 Nov 2008
|
Dan, Elliott
|
mp3
|
Stuart is absent.
|
| 25
|
The Happening
|
SD
|
19 Oct 2008
|
The
Peaches
|
mp3
|
|
| 24
|
Prom Night
|
BB
|
4 Oct 2008
|
The
Peaches
|
mp3
|
|
| 23
|
Wild Hogs
|
SD
|
14 Sep 2008
|
Dan, Elliott, Ritch
|
mp3
|
Guest Host: Ritch Duncan
|
| 22
|
Vantage Point
|
BB
|
24 Aug 2008
|
Dan, Stuart, Sara
|
mp3
|
Guest Host: Sara Schaefer
|
| 21
|
One Missed Call
|
GB
|
3 Aug 2008
|
The
Peaches
|
mp3
|
|
| 20
|
10,000 BC
|
BB
|
20 Jul 2008
|
The
Peaches
|
mp3
|
|
| 19
|
Premonition
|
BB
|
6 Jul 2008
|
The
Peaches
|
mp3
|
|
| 18
|
Jumper
|
BB
|
22 Jun 2008
|
Dan, Stuart, Matt
|
mp3
|
Guest Host: Matt Koff
|
| 17
|
Untraceable
|
BB
|
8 Jun 2008
|
The
Peaches
|
mp3
|
|
| 16
|
Alien
vs. Predator: Requiem
|
BB
|
17 May 2008
|
Dan, Stuart, Lou
|
mp3
|
Guest Host: Lou Fernandez
|
| 15
|
D-War: Dragon Wars
|
GB
|
4 May 2008
|
The
Peaches
|
mp3
|
|
| 14
|
Bratz
|
GB
|
20 Apr 2008
|
The
Peaches
|
mp3
|
|
| 13
|
The Invasion
|
BB
|
30 Mar 2008
|
The
Peaches
|
mp3
|
|
| 12
|
Awake
|
BB
|
16 Mar 2008
|
The
Peaches
|
mp3
|
|
| 11
|
Awards
Floptacular
|
–
|
6 Mar 2008
|
The
Peaches
|
mp3
|
Awards Floptacular
|
| 10
|
Good Luck Chuck
|
BB
|
25 Feb 2008
|
Dan, Stuart, Ritch
|
m4a
|
Guest Host: Ritch Duncan
|
| 9
|
Next
|
SD
|
27 Jan 2008
|
Dan, Stuart, Frank
|
m4a
|
Guest Host: Frank Lesser
|
| 8
|
I Know Who Killed
Me
|
SD
|
20 Dec 2007
|
The
Peaches
|
m4a
|
|
| 7
|
Mr. Brooks
|
SD
|
6 Dec 2007
|
Dan, Stuart, Jeanette
|
m4a
|
Guest Host: Jeanette Lahr
|
| 6
|
Perfect Stranger
|
SD
|
18 Nov 2007
|
Dan, Stuart, Simon
|
m4a
|
The end of the Simon era.
|
| 5
|
Saw III
|
SD
|
28 Oct 2007
|
Dan, Stuart, Simon
|
m4a
|
|
| 4
|
The Number 23
|
SD
|
7 Oct 2007
|
Dan, Stuart, Simon
|
m4a
|
|
| 3
|
A Sound of Thunder
|
BB
|
16 Sep 2007
|
Dan, Stuart, Simon
|
m4a
|
|
| 2
|
Memory
|
SD
|
6 Sep 2007
|
Dan, Stuart, Simon
|
m4a
|
|
| 1
|
Stealth
|
BB
|
6 Sep 2007
|
Dan, Stuart, Simon
|
m4a
|
|


Paper Notes.
<EMAIL_ADDRESS>Deformation process from $\Omega_o$ into $\Omega$.
$$\rho \mathbf{u}_{tt}= \nabla \cdot \mathbb{T}+\mathbf{f}$$Where $\mathbf{u}=\mathbf{r}-\mathbf{r_o}$, $\mathbf{r}$ in $\Omega$ and $\mathbf{r}_o$ in $\Omega_o$, $\mathbf{f}$ external body forces, $\mathbb{T}$ stress tensor.
The relationhip between $\mathbf{T}$ and $\mathbb{u}$ determines the type of material (solid, fluid, etc.)
Example: Linear isotropic elastic body (Hooke's solid):
$$\mathbb{E}=\frac{1}{2}\left( \mathbb{\nabla u} + \mathbb{\nabla u }^T \right)$$and:
$$\mathbb{T}=C:\mathbb{E}=\lambda tr(\mathbb{E})+2\mu\mathbb{E}$$give:
$$\small{\rho\mathbf{u}_{tt}=\mathbf{f}+(\lambda+\mu)\nabla(\nabla\cdot\mathbf{u})+\nabla^2\mathbf{u} }$$Required:
Initial configuration.
Boundary conditions (Robin,Dirichlet,Neumann).
Constitutve law.
Material parameter values.
Buckling and Wrinkling.
Non-linear critical phenomena.
The stationary solution becomes instable and new configuartions appear for a set of critcal stresses.
The resultant pattern is determined by the geometry of the domain, boundary conditions and forces.
$\Delta x=0.0$.
$\Delta x=0.05$.
$\Delta x=0.62$.
$\Delta x=1.68$.
In general the problem at hand is to compute extremal values of the energy $U$ of a thin film
$$U=U_B+U_S-L$$
Where $U_B$ and $U_S$ represent the bending energy and the stretching energy.
$L$ represent any geometrical constraint (Lagrange multiplier).
A compressive threshold always needs to be reached in order to buckle.
In general $\lambda\simeq \left(\frac{B}{K} \right)^{1/4}$ and $A\simeq(\lambda_x)^{1/2}\lambda$.
$B$ bending stiffness, $K$ foundation stiffness, $\lambda_x$ compressive stretch.
1.- Thin sheet with bending stiffness.
2.- Elastic foundation.
3.- Imposed compressive strain.
The geometric packing constraint leads to the formation of wrinkles, the bending resistance penalizes short wavelengths, the foundation penalizes long wavelengths, thus leading to new intermediate scales.
Bilayer with $R=1$ - no wrinkles
Bilayer with $R=10$ - wrinkles
Bilayer with $R=20$ - wrinkles
If the threshold is not reached there is no pattern.
For bilayer systems, asymptotics reveal the role of the material properties.
Uniaxial induced wrinkles are always reversible (no hysteresis, Alessandra?).
Growth induced wrinkles are irreversible.
Can we compare?
Growth tensors:
Natural extension to spatial processes.
Determine the bifurcation thresholds.
Curvature 2d:
Delays the wrinkle formation.
Enforced by boundary conditions.
Volumetric case:
Base of domain stretching.
Stiffer cell wall or more than two domains.


Web Logging and Graphing
First draft created: 27th September 2010
by Trystan Lea
Note: new version of emoncms (v2) can be found here: http://openenergymonitor.org/emon/emoncms
This is a mini guide on how to create a web connected energy monitor and starts from where the guide for building the non-invasive mains AC v3 energy monitor leaves off.
...
JSON and automatic website setup
One of the main features of this implementation is the use of JSON to send data from the arduino to the website. Sending data in a JSON is really nice, I wont go into it in detail here but it makes it possible for the website to automatically setup variables. A simple JSON string looks like this:
{"Voltage":"240.0"}
The website recieves this and if it doesn't already have a Voltage table, will create one and enter the value into the table. This means you can almost configure the website from the arduino, if you want to graph more variables just send them from the arduino and the website should take care of it self.
...
Arduino side
1) Download:
Arduino Sketch (Nuelectronics shield): emonEthernet.tar.gz
Browse software in repository : software repository
2) Open the sketch
- enter energy monitor calibration values as in mains AC v3 guide
- enter arduino ip, gateway ip and server ip
3) Upload the sketch to the arduino
Server side
At the moment this is more of a tech demo than a fully fledged graphing and logging website, Were working on a larger site, more information to come. But for those of you who are learning to program php, ajax, jquery (like me) this might be useful, its also super easy to setup if your not an avid programmer:
1) download: emoncms01.zip
Browse software in repository : software repository
2) unzip into your server directory (can be web based or local computer, search for LAMP server installation guides)
3) Create a database (I use phpmyadmin)
4) Enter the database name, username, password and host into database.config in the emoncms directory
5) Load emoncms in your browser, if you see the following then congratulations! your ready to log and graph! :)
You can at this point try the example data posting link, to see how sending a json string automatically sets up variables on the website.
Or if your energy monitoring arduino is all ready to go and pointing at the website, fire it up and you should see the following variables appear automatically updated in real-time :)
To see a graph of the variable click on Graph:view:
The graphs also update in real-time, using ajax and jquery.
There we are for now, more to come soon!
May be useful to understand how the above works:
Using JQuery AJAX and php to fetch data from a mysql database
Re: emoncms
Hello arena, what is the error you are getting? the code above should work with Andrew Lindsays library here: http://blog.thiseldo.co.uk/?p=504 You may need to change the capitals on the start of the file includes?
Let me know if you get any luck
Trystan
Re: emoncms
it works!!
thank you very much!!


An implementation of nonparametric combination of hypothesis tests. This package performs nonparametric combination (Pesarin and Salmaso 2010), a permutation-based procedure for jointly testing multiple hypotheses. The tests are conducted under the global "sharp" null hypothesis of no effects, and the component tests are combined on the metric of their p-values. A key feature of nonparametric combination is that it accounts for the dependence among tests under the null hypothesis. In addition to the "NPC" function, which performs nonparametric combination itself, the package also contains a number of helper functions, many of which calculate a test statistic given an input of data.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | permute, dplyr, coin, matlab |
| Suggests: | car, mvtnorm, plyr, xtable |
| Published: | 2016-03-28 |
| Author: | Devin Caughey [aut, cre] |
| Maintainer: | Devin Caughey <devin.caughey at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | NPC results |
| Reference manual: | NPC.pdf |
| Package source: | NPC_1.1.0.tar.gz |
| Windows binaries: | r-devel: NPC_1.1.0.zip, r-release: NPC_1.1.0.zip, r-oldrel: NPC_1.1.0.zip |
| OS X binaries: | r-release: NPC_1.1.0.tgz, r-oldrel: NPC_1.1.0.tgz |
| Old sources: | NPC archive |
Please use the canonical form https://CRAN.R-project.org/package=NPC to link to this page.


Electric Fields, Cancer Link Nixed
WASHINGTON (AP) -- Six years of research have produced little
hard evidence that the magnetic fields around electric power lines
cause cancer, yet some lingering concerns remain, a National
Institutes of Health division reported Tuesday.
``Virtually all of the laboratory evidence in animals and humans
and most of the mechanistic studies in cells fail to support a
causal relationship'' between the electromagnetic fields and
cancer, the National Institute of Environmental Health Sciences
said in the report to Congress.
However, it said there have been some statistical associations
between the fields and childhood leukemia as well as chronic
lymphocytic leukemia in adults exposed to the fields through their
work, such as electric utility workers, machinists and welders.
Research is continuing on these ``lingering concerns'' and
efforts to reduce human exposure to electromagnetic fields should
continue, the report said.
``The lack of consistent, positive findings in animal or
mechanistic studies weakens the belief that this association is
actually due to EMF, but it cannot completely discount the
epidemiological findings,'' NIEHS Director Kenneth Olden said in a
statement.
Therefore, he said, since virtually everyone in the country is
routinely exposed to EMF, efforts to reduce such exposure should
continue.
For example, the electrical industry should continue efforts to
reduce the electromagnetic fields around large transmission lines
and communities should enforce electrical codes to avoid wiring
errors that can increase EMF.
The focus on a possible link to cancer stemmed from a 1979
Denver study that tied leukemia to EMF, but the researchers also
concluded that there was no connection between EMF and other
problems including Alzheimer's disease, depression and birth
defects.
Just a year ago, a panel of scientists studying this issue
concluded, in a 19-9 vote, that electromagnetic fields should be
considered ``possible human carcinogens'' though the risk was
``probably quite small.''
That was at odds with a 1996 report by a National Research
Council panel of scientists.Those scientists evaluated about 500
studies on the health effects of high voltage power lines and found
``no conclusive and consistent evidence'' that electric and
magnetic fields cause any human disease.
Though the link between electricity and disease has long been
controversial, some consumer groups have sued power companies or
forced utility firms to move power lines or install shielding.


In one Maine town, ‘home paper’ is gone after 135 years - The Boston Globe In Biddeford, Maine, the daily Journal Tribune succumbs to economic reality.
How Multiplexing Changes Your HTTP APIs When I first learned about SPDY, I was excited about it for a number of reasons, but near the top of the list was its potential impact on APIs that use HTTP.
BlazorHelp Website > Blog - Blazor Microsoft Graph Calendar Example With Active Directory Authentication Microsoft Visual Studio Blazor
Expand BBJ_RETURN blocks with bool conditions by EgorBo · Pull Request #27167 · dotnet/coreclr Expand BBJ_RETURN basic blocks with boolean conditions, let me explain it via a pic: So it basically de-optimizes the control flow (optimized by Roslyn) but makes it a bit more friendly for optimi...


Estimating light respiration
fit_r_light_kok( data, varnames = list(A_net = "A_net", PPFD = "PPFD"), PPFD_lower = 40, PPFD_upper = 100 ) fit_r_light_WalkerOrt( data, varnames = list(A_net = "A_net", C_i = "C_i", PPFD = "PPFD"), P = 100, C_i_threshold = 300 ) fit_r_light_yin( data, varnames = list(A_net = "A_net", PPFD = "PPFD", phi_PSII = "phi_PSII"), PPFD_lower = 40, PPFD_upper = 100 )
| data | Dataframe |
|---|---|
| varnames | List of variable names |
| PPFD_lower | Lower light intensity limit for estimating Rlight (Kok & Yin) |
| PPFD_upper | Upper light intensity limit for estimating Rlight (Kok & Yin) |
| P | Atmospheric pressure in kPa (Walker & Ort, 2015) |
| C_i_threshold | Threshold C_i (in umol mol-1) to cut data to linear region for fitting light respiration and gamma_star (Walker & Ort, 2015) |
fit_r_light_kok estimates light respiration using the Kok method (Kok, 1956). The Kok method involves looking for a breakpoint in the light response of net CO2 assimilation at very low light intensities and extrapolating from data above the breakpoint to estimate light respiration as the y-intercept. r_light value should be negative, denoting an efflux of CO2.
fit_r_light_WalkerOrt estimates light respiration and GammaStar according to Walk & Ort (2015) using a slope- intercept regression method to find the intercept of multiple ACi curves run at multiple light intensities. Output GammaStar and respiration should be negative If output respiration is positive this could indicate issues (i.e. leaks) in the gas exchange measurements. GammaStar is output in umol mol-1, and respiration is output in umol m-2 s-1 of respiratory flux. Output is a list containing the slope intercept regression model, a graph of the fit, and estimates of the coefficients. NOTE: if using C_i, the output value is technically C_istar. You need to use Cc to get GammaStar. Also note, however, that the convention in the field is to completely ignore this note.
fit_r_light_yin estimates light respiration according to the Yin et al. (2009, 2011) modifications of the Kok method. The modification uses fluorescence data to get a better estimate of light respiration. Note that respiration output should be negative here to denote an efflux of CO2.
Kok B. 1956. On the inhibition of photosynthesis by intense light. Biochimica et Biophysica Acta 21: 234–244
Walker BJ, Ort DR. 2015. Improved method for measuring the apparent CO2 photocompensation point resolves the impact of multiple internal conductances to CO2 to net gas exchange. Plant Cell Environ 38:2462- 2474
Yin X, Struik PC, Romero P, Harbinson J, Evers JB, van der Putten PEL, Vos J. 2009. Using combined measurements of gas exchange and chlorophyll fluorescence to estimate parameters of a biochemical C3 photosynthesis model: a critical appraisal and a new integrated approach applied to leaves in a wheat (Triticum aestivum) canopy. Plant Cell Environ 32:448-464
Yin X, Sun Z, Struik PC, Gu J. 2011. Evaluating a new method to estimate the rate of leaf respiration in the light by analysis of combined gas exchange and chlorophyll fluorescence measurements. Journal of Experimental Botany 62: 3489–3499
# \donttest{ # FITTING KOK METHOD # Read in your data # Note that this data is coming from data supplied by the package # hence the complicated argument in read.csv() # This dataset is a CO2 by light response curve for a single sunflower data <- read.csv(system.file("extdata", "A_Ci_Q_data_1.csv", package = "photosynthesis" )) # Fit light respiration with Kok method r_light <- fit_r_light_kok( data = data, varnames = list( A_net = "A", PPFD = "Qin" ), PPFD_lower = 20, PPFD_upper = 150 ) # Return r_light r_light#> (Intercept) #> -0.5237011# FITTING WALKER-ORT METHOD # Read in your data # Note that this data is coming from data supplied by the package # hence the complicated argument in read.csv() # This dataset is a CO2 by light response curve for a single sunflower data <- read.csv(system.file("extdata", "A_Ci_Q_data_1.csv", package = "photosynthesis" )) # Fit the Walker-Ort method for GammaStar and light respiration walker_ort <- fit_r_light_WalkerOrt(data, varnames = list( A_net = "A", C_i = "Ci", PPFD = "Qin" ) ) # Extract model summary(walker_ort[[1]])#> #> Call: #> lm(formula = Intercept ~ Slope, data = coefs) #> #> Residuals: #> Min 1Q Median 3Q Max #> -0.36114 -0.10958 -0.05553 0.08166 0.62016 #> #> Coefficients: #> Estimate Std. Error t value Pr(>|t|) #> (Intercept) -0.1526 0.1176 -1.297 0.224 #> Slope -4.6004 0.4069 -11.307 5.1e-07 *** #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> Residual standard error: 0.2513 on 10 degrees of freedom #> Multiple R-squared: 0.9275, Adjusted R-squared: 0.9202 #> F-statistic: 127.8 on 1 and 10 DF, p-value: 5.103e-07 #># View graph walker_ort[[2]]#># View coefficients walker_ort[[3]]#> GammaStar r_light #> Slope 46.00427 -0.152643# FITTING THE YIN METHOD # Read in your data # Note that this data is coming from data supplied by the package # hence the complicated argument in read.csv() # This dataset is a CO2 by light response curve for a single sunflower data <- read.csv(system.file("extdata", "A_Ci_Q_data_1.csv", package = "photosynthesis" )) # Fit light respiration with Yin method r_light <- fit_r_light_yin( data = data, varnames = list( A_net = "A", PPFD = "Qin", phi_PSII = "PhiPS2" ), PPFD_lower = 20, PPFD_upper = 250 ) # }


The Damson Bungalow in pictures 21 Nov 2019, 13:12 by Adnan Rashid The Damson Building(Image: Burton Mail) The entrance of the bungalow(Image: Burton Mail) Books have been donated to the Library from ABC Learning(Image: Burton Mail) A mural capturing iconic landmarks in Burton is displayed on the library wall(Image: Burton Mail) The breakout room, will be used by pupils to have some reflection time(Image: Burton Mail) Motivational picture displayed in the corridors of the bungalow(Image: Burton Mail) A celebration cake of the Damson Bungalow(Image: Burton Mail) A buffet was laid out for the guests on the opening of the bungalow(Image: Burton Mail) The garden area was done up by a NCS group(Image: Burton Mail) Burton Tory candidate Kate Griffiths planted a tree in the Garden(Image: Burton Mail) Nigel Clough, with his dog Billie and head teacher, Mandy Whitehouse(Image: Burton Mail)


I am Mihwa Han. I mainly use Python (+5 years) for programming, and I especially like pandas and seaborn. I am currently a Data Science Fellow at Insight Data Science at Boston, MA. For my 3-week-long Insight project, I consulted with a meal delivery start-up to increase customer satisfaction via different meal selections. I used a Random Forest Regressor model (in sklearn) to predict the popularity of each meal using features like the main ingredients, and I finally delivered the results/recommendations with a Python/Flask Web App which allows the company to efficiently improve their menus.
Before being a Data Science Fellow, I did several independent projects using a number of different machine learning techniques, such as clustering, regression, classification, natural language processing, and neural networks. You can read articles related to those projects either on this website or on my github.
In my school, I have two Masters degrees (majoring in Astronomy & Space Science). In my graduate studies I used statistical analysis and data cleaning on astronomical imaging data.
I like snow boarding, board games, and starting any journey!


Consider the following polynomials:
From , consider the coefficients as follows:
From , consider the coefficients as follows:
The equation 30.1 of chapter 30, section 30.1 in the textbook is as follows:
where
The degree bound of polynomial and is (n =) 4.
The polynomial is the obtained polynomial after multiplying polynomial and .
To calculate the value of substitute n = 4 in (1).
Substitute j = 0 in (2) to calculate the value of .
Substitute j = 1 in (2) to calculate the value of .
Substitute j = 2 in (2) to calculate the value of .
Substitute j = 3 in (2) to calculate the value of .
Substitute j = 5 in (2) to calculate the value of .
Substitute j = 6 in (2) to calculate the value of .
Now substitute the values of in equation (3).
Therefore, .
Evaluation of Polynomial
Consider a polynomial A(x), which has a degree bound of n. Degree bound of n means that x can have a maximum power of n. At a point x0, if the polynomial is divided by (x- x0), it provides a quotient q(x) which has a degree-bound of n-1 and r as remainder.
So, the polynomial can also be represented as:
Expansion of A(x) and q(x) can be given as:
Taking the value of A(x) as:
Taking value of remainder r at left side, the equation will be:
… … (a)
Substituting the value of A(x), the equation will be:
… … (1)
Taking right hand side of equation (a) which is given below:
Substituting the value q(x) of in the above equation, the equation can be given as:
Now, multiplying x and x0 with the expanded q(x), the equation can be written as:
As when x is multiplied with first extended part of q(x), this makes an increment in its degree bound. This is shown below:
Now, separating the coefficients of x which has similar degree, the equation can be given as:
Taking the similar coefficients of x as common, the equation can be written as:
… … (2)
Now here is the equation which shows equality of two polynomials, where polynomial have degree bound of n, which is valid for any x. This means that in both equations, coefficients of corresponding powers of should be equal.Now, compare the equation (1) and (2) according to their co-efficient. In both equations, x has a degree of n for an and qn-1.
So, both of them will be equal. This can be given as:
Similarly, x has a degree of n-1 for an-1 and . So, both of them will be equal. This can be given as:
Similarly, x has a degree of n for an-2 and . So, both of them will be equal. This can be given as:
The coefficients are given. The coefficient is calculated from first equation. Using this and all the values can be calculated. The use of last equation is for finding the value of , since the value of is found out previously.
So, the number of steps needed to find and the value ofby using the above equations isand finding each coefficient takes a constant time.
So, the total number of steps to find and through this method is .
Point value representation: The point value representation of a polynomial say of degree bound is .
Here are distinct points and the points satisfy the condition,
Consider a polynomial,
…… (1)
Consider distinct points say
Substitute in (1)
Substitute in (1)
Similarly,
Thus the point value representation of a polynomial is
Such that
Consider a polynomial,
…… (2)
Consider distinct points say such that
Substitute in (2)
Substitute in (2)
Similarly,
Consider,
Consider,
Similarly,
Thus the point value representation of a polynomial is
Here,
And
Consider a set of n point-value pairs and a polynomial of degree k such that for. This can be represented by the following matrix:
The matrix on the left is represented by and is called the Vandermonde matrix. The polynomial is represented by.
• This multiplication is valid only if number of columns in matrix = number of rows in matrix. The matrixis supposed to have n rows because the polynomial has a degree n.
• Matrix is a square matrix created from the elements of the point-value pairs. It should have the order according to the previous statement.
Multiplying on both sides:
Thus, inverse matrix must exist for the unique polynomial of degree n to exist.
A matrix is said to be invertible only if its determinant exists.
Existence of determinant can be found out by the following method:
Each element of a row is same. So, if any two rows have the same element, then the determinant value becomes 0 and the matrix is not invertible.
If it is not invertible then cannot exist. So, specifying a unique polynomial of degree-bound n fails.
Therefore, for the matrix to exist there must be unique rows of matrix.
Hence it is proved that n distinct point-value pairs are necessary to uniquely specify a polynomial of degree-bound n .
The Lagrange’s formula is given as:
To show that this equation can be interpolated in time , the following procedure is followed:
• Show that the coefficient representation of can be computed in time
by using recursion. It can be shown that on multiplying by
takes time because the multiplication must be done n times so total run
time is .
• If the coefficient representation of is then in order to multiply by set for i= 1,2,3…k. The time to compute the next product is because each of these coefficients can be computed in constant time.
• Now, compute for each k, which takes the running time as .
• Thus, remainder obtained is so, each is computed in time .
So, the total time to compute all the values is
Therefore, each term of the expression which includes the division of by multiplied by takes time and on summation the time complexity is .
Hence, the summation of n polynomials take time:
Consider the sets and . These sets contain integers in the range from 0 to .
Now, compute the Cartesian sum of and . Cartesian sum of and is given by,
To find their sum, represent the two sets, and , in the polynomial form. In the polynomial form, set can be represented as follows:
and set can be represented as follows:
As the maximum range of sets and is , the polynomial and are of degrees at most .
The sum of two polynomials of degree-bound is a polynomial of degree-bound .
Increase the degree-bounds of the polynomial and to by adding high-order coefficients of 0 because the polynomials (can be considered as vectors) have elements.
Now, use complex roots of unity, which can be denoted by the terms. Provided a Fast Fourier Transform (FFT), compute the polynomial addition of two polynomials and in times using the following algorithm.
• Create a coefficient representation of and as degree-bound polynomials by adding high-order coefficients of 0 to each.
• Compute point value representation of and of length using the two applications of the FFT of order . These representations contain the value of the two polynomials at the roots of unity.
• Compute a point-value representation for the polynomial by adding these values together point wise. This representation contains the value of at each roots of unity.
• Create the coefficient representation of the polynomial through a single application of an FFT on point value pairs to compute the inverse (converting the polynomial to set form).
Analysis of the algorithm:
• In steps-1, adding high-order coefficients take a time of .
• In steps-2, computing point value representation of and of length takes a time of .
• In steps-3 computing a point-value representation for the polynomial takes a time of .
• In steps-4, creating the coefficient representation of the polynomial through a single application of an FFT takes a time of .
Calculate the total time complexity of the algorithm by adding the time taken by each step.
Hence, the sum of two polynomials of degree-bound can be computed in time , with both the input and output representation forms.


HAPI System Log
Logging started at 17:45:27 on dom ene 07 2018
HAPI CORE: Starting.
HAPI is Copyright 2017 Keith Ditchburn
HAPI CORE: Started OK.
HAPI Version 2.32
HAPI: Started OK.
Sound file loaded succesfully: Data\BackSound.wav
**** HAPI: ERROR Detected
** Description: H_INVALID_PARAMETER - passed parameter was not valid
** System: Sound
** Detail: Pan must be in the range -1 to 1
** Data: pan
****
Log written at 17:45:30


----------------------------------------------------------------------------------------
Bulk Discounts for emonTH - Temperature & Humidity Node
Below are the available bulk discount rates for each individual item when you purchase a certain amount
Buy 5 - 9 and get 5% off
Buy 10 - 24 and get €17.40 off <---- Very hard discount rate ?!
Buy 25 - 49 and get €0.23 off
Buy 50 - 100 and get €0.29 off
----------------------------------------------------------------------------------------
I want to order a dozen or so emonTH but i think you have a bug in the discount. If not i instant order ! :D
++
Re: Bulk Discounts for emonTH
In case anyone else gets excited, the discount structure now reads:
Buy 5 - 9 and get 5% off
Buy 10 - 24 and get 10% off
Buy 25 - 49 and get 20% off
Buy 50 or above and get 25% off
Re: Bulk Discounts for emonTH
Thx,
I have a other issue with the shop, when i want to order 10 EmonTH :
----------------------------------------------------------------------------------------
Step 3: Shipping Method
Please choose the shipping method for your order:
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €9.38
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €93.85 <--- It's very expensive ?!
----------------------------------------------------------------------------------------
And if i add 10 emonTx PCB :
----------------------------------------------------------------------------------------
Step 3: Shipping Method
Please choose the shipping method for your order:
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €93.85
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €117.31
----------------------------------------------------------------------------------------
i say "how much ?! Banco, i sell my caravan" (French film reference)
Re: Bulk Discounts for emonTH
I think someone may have noticed the error (if you entered the correct country, that is!). For me, to France, it says:
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €23.46
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €55.14
and
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €46.92
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €84.46
Re: Bulk Discounts for emonTH
i took a EmonTh with :
Case: Yes
Sensor : none
Radio : Yes 868Mhz RFM12B (Europe Only)
Estimate Shipping & Tax :
Country : France
Zip/Postcode : 64000
For 1x EmonTH : OK
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €5.81
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €11.56
For 2x EmonTH : OK
Shipping Method Price
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €7.51
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €13.37
For 3x EmonTH : OK
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €9.21
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €16.78
For 4x EmonTH : OK
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €10.91
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €18.48
For 8x EmonTH : OK
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €23.46
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €55.14
For 9x EmonTH : OK
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €46.92
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €84.46
and now
For 10x EmonTH : KO
Royal Mail Airsure 3-7 days - Fully Tracked and Insured €9.38 <----- I take this one
Royal Mail - Standard Airmail - UN-TRACKED AND UN-INSURED €93.85
Bug Tracker at your service :D
PS: It's working now... with other stuff in the basket


This option reduces
the amount of output relating to normal operation, so that error
messages are more apparent. This option is provided for the
convenience of users who are checking large suites of files. The
eliminated output includes the names of project files, and the message
reporting that no syntax errors were found. It also eliminates some
blank lines that are ordinarily included for clarity. (Some of this output is
turned back on by the -list and -symtab options.) Default
= no.
Note: the way to remember the difference between the -quiet
and -brief is that -quiet doesn't suppress any
warning-related information, whereas -brief does.
See also: -brief.


The Paleobiology Database: Index to Draft Data Entry Forms
The group is preparing the following new HTML forms for data entry.
Forms discussed during the taphonomy working group meeting in February, 2002:
Forms discussed during the taphonomy working group meeting in September, 2001:
Forms discussed during working group meetings in August, 2001:
Forms discussed during working group meetings in March, 2001:


Trader Adrian:
Glad to meet you. It's cold out, isn't it? Please come in and warm yourself and look around my shop.
Are you a Warrior or Wizard? We have everything in our shop. Don't believe me? See for yourself!
Buy/Sell/Refund.
Ask about the local lord and tax rate.
Quest


Arthroscopy
Arthroscopy is a minimally invasive diagnostic and surgical procedure performed for joint problems. Shoulder arthroscopy is performed using a pencil-sized instrument called an Arthroscope. The arthroscope consists of a light system and camera to project images to a computer screen.
Reconstruction
The anterior cruciate ligament is one of the major stabilizing ligaments in the knee. It is a strong rope like structure located in the centre of the knee running from the femur to the tibia. When this ligament tears unfortunately it doesn’t heal and often leads to the feeling of instability in the knee.
Knee Preservation
Osteoarthritis is typically caused by degenerative wear and tear over time. Unfortunately, sometimes a severe injury or deformity can cause arthritis to develop early or in isolated areas of the knee. In order to avoid doing a total knee replacement, an osteotomy may be an option to preserve a patient’s own joint by realigning the knee.
Physical Therapy
Most knee procedures are outpatient and you will be going home at the end of the day. You will receive crutch education prior to your release. For most procedures we recommend beginning Physical Therapy within three to five days. You will be given a packet containing PT prescriptions and home instructions at discharge time.
Spine Care
Most knee procedures are outpatient and you will be going home at the end of the day. You will receive crutch education prior to your release. For most procedures we recommend beginning Physical Therapy within three to five days. You will be given a packet containing PT prescriptions and home instructions at discharge time.
Musculoskeletal Tumors
Most knee procedures are outpatient and you will be going home at the end of the day. You will receive crutch education prior to your release. For most procedures we recommend beginning Physical Therapy within three to five days. You will be given a packet containing PT prescriptions and home instructions at discharge time.


Activists condemn alleged police torture
by Staff ReporterMADURAI Dalit rights activists have condemned the recent alleged torture of a section of residents of the Scheduled Caste community from Ambedkar Colony of Oomachikulam.
A 15-year-old-boy, was allegedly picked up by Oomachikulam police on November 4 on the pretext of interrogation after some people stole four iron rods used in the construction of the elevated highway at Oomachikulam. “The last time I saw my son was on November 5. After that his whereabouts are unknown,” said K. Sumathi, his mother.
Advocate A. Rajini, while addressing a press conference here on Saturday, said that she would file a habeas corpus petition in the High Court seeking a direction to the police to produce the boy. The residents also alleged that a few others were picked up by the police for inquiry and tortured. They also said that they paid money and jewellery to the police to be released after interrogation.
Ms. Rajini said that appropriate action should be taken against the police. R. Adhiyaman, founder-president, Adi Tamizhar Peravai, was also present.


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
Melt-in-your-mouth spare ribs with a tasty Chinese-style sauce.
Have your butcher separate the spareribs into individual ribs and then into chunks which are approximately 7.5cm/3in long. Alternatively do this yourself using a heavy sharp cleaver that can cut through the bones.
Mix the marinade ingredients together in a bowl and steep the spareribs in the marinade for about 25 minutes at room temperature. Remove the spareribs from the marinade with a slotted spoon.
Heat the oil in a deep-fat fryer or large wok. When the oil is very hot and slightly smoking, slowly brown the marinated spareribs in several batches until they are brown. Drain each cooked batch on kitchen paper. (Leave the cooking oil to cool. Strain it through a filter if you want to re-use it when cooking pork.)
Put the sauce ingredients into a clean wok or frying pan.
Bring the sauce to the boil and then reduce the heat. Add the spareribs, cover and simmer gently for about 40 minutes, stirring occasionally.
If necessary, add a little water to the sauce to prevent the spareribs from drying up. Skim off any surface fat, turn onto a warm serving plate and serve at once.


--- layout: default title: 404 Page Not Found ---
Hey, sorry, but the page you're trying to access doesn't exist. Try going back to the homepage.


A resume, also spelled résumé or resumé, is an important document that is used to explain your past qualifications and achivements. The common sections of a resume include your contact information, summary, education, experiences (including certificates/skills), and your interests and activities.
However, resume will never contain too specific things, such as your grades in a specific class or a list of all of your classes that you have taken in high school. Instead, they are used to summarize yourself on a broad context.
Building your resume may seem to be a hard and complicated thing to do, but it really isn't that hard as you think. This subpage will go over all of the basics and requirements that you need to know to start of on your resume.
Styling your resume should be taken into consideration when first building it. You don't want to use fonts or colors that drag a person away from the primary content. For example, you want to use a font, such as Times New Roman because it is very easy to read.
Although many online resume builders are available, many of them require you to pay, so building your own resume would serve you better in the future.
After finishing your resume, you want to save it as a common file type, such as a PDF. Next, you want to upload it to websites, such as Linkedin and AngelList, so that people and companies can view your resume. However, never upload it to social media sites (ex. Facebook, Twitter, etc.) because resumes are meant for professional purposes only.
An opening letter is different from a resume in many ways. Unlike a resume, opening letters are used to show your passion and interests when applying for a specific company.
Opening letters are usually used when a company has called to interview you for a job opportunity or are just interested in you. As a result, opening letters tend to contain much more specific information about your past experiences since they are being directed to a smaller audience.


--- layout: stats title: Ike Jose Statistics permalink: "/stats/teams/ike-jose.html" ---
| Year | Team | Status | Finish | W-L | PPG | PAPG | Margin | TU/G | N/G | BHrd | BPts | PPB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009 | Ike Jose | 12 | 7-8 | 100 | 169 | -69 | 6.13 | 1.87 | 92 | 720 | 7.83 |
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2009 | 1 (Prelims) | Ike Jose | Chicago A | Loss | 45 - 420 | 3 | 3 | 10.00 | Brown |
| 2009 | 2 (Prelims) | Ike Jose | Harvard A | Loss | 60 - 255 | 4 | 0 | 5.00 | Brandeis |
| 2009 | 3 (Prelims) | Ike Jose | Illinois A | Loss | 70 - 325 | 5 | 2 | 6.00 | Chicago B + Harvard |
| 2009 | 4 (Prelims) | Ike Jose | Hunter College | Win | 215 - 5 | 10 | 1 | 12.00 | VCU |
| 2009 | 5 (Prelims) | Ike Jose | UCLA | Win | 125 - 90 | 7 | 1 | 8.57 | Illinois + Maryland |
| 2009 | 6 (Prelims) | Ike Jose | Missouri S&T | Win | 145 - 75 | 9 | 1 | 6.67 | Minnesota A |
| 2009 | 8 (Prelims) | Ike Jose | Minnesota B | Win | 145 - 125 | 6 | 1 | 15.00 | Missouri State + UCSD |
| 2009 | 9 (Prelims) | Ike Jose | VCU A | Win | 115 - 105 | 8 | 1 | 5.00 | UCLA + South Carolina |
| 2009 | 10 (Prelims) | Ike Jose | Carnegie Mellon | Win | 115 - 35 | 8 | 3 | 6.25 | Truman State + Dartmouth |
| 2009 | 11 (Prelims) | Ike Jose | Missouri State | Loss | 70 - 145 | 5 | 0 | 4.00 | Stanford |
| 2009 | 12 (Prelims) | Ike Jose | Dartmouth A | Loss | 80 - 260 | 6 | 2 | 5.00 | Rutgers |
| 2009 | 14 (Playoffs) | Ike Jose | UCSD A | Loss | 50 - 155 | 4 | 4 | 7.50 | No Packet Recorded |
| 2009 | 15 (Playoffs) | Ike Jose | South Carolina | Loss | 60 - 200 | 5 | 6 | 8.00 | No Packet Recorded |
| 2009 | 16 (Playoffs) | Ike Jose | Chicago B | Win | 135 - 130 | 7 | 1 | 10.00 | No Packet Recorded |
| 2009 | 17 (Playoffs) | Ike Jose | Maryland A | Loss | 70 - 210 | 5 | 2 | 6.00 | No Packet Recorded |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2009 | Ike Jose | Ike Jose | 15 | 92 | 28 | 780 | 52 |


John Smitt — Treant.js is an library that handles drawing and visualisation of tree structural charts. What does that mean?
Peter Griffin — Great collection! A lot of good inspiration. Thanks!
Jane Black — Thanks for tutorial. One issue I have is that all tutorials is on dev environment. What about production? what differences between …
Joe Linux — Looks very promising. I'll have to take a closer look some time.
John Smitt — Treant.js is an library that handles drawing and visualisation of tree structural charts. What does that mean?
Peter Griffin — Great collection! A lot of good inspiration. Thanks!
Jane Black — Thanks for tutorial. One issue I have is that all tutorials is on dev environment. What about production? what differences between …
Joe Linux — Looks very promising. I'll have to take a closer look some time.


This page will tell you whether you are applicable for the process. Provide marks
Validate My Application


An enemy in a video game, or tabletop game, which finds equipment or items that the player character has to be its favorite food.
Or they might even find items lying on the ground. As long as you are going to need it, they are going to try to eat it.
Now even though the item eaten can vary, it's almost never something that would make the game Unwinnable, or even render the item unobtainable again, just something that makes you really hate this enemy.
Sometimes you have the chance to get the item back, often by killing this enemy quickly. Other times it's just lost and you have to get another copy of the item.
A Sister Trope to Bandit Mook.
Compare Video Game Stealing, Ninja Looting, No Item Use for You.
Contrast Feed It a Bomb.
Examples
- Munchkin
- There is a creature that counts as a curse rather than as a monster. It keeps eating your equipment until it randomly eats itself.
- An item in Munchkin Cthulhu is a set of Bagpipes. Rather than try to eat it, there's a chance the monsters will attempt to mate with it. And yes, if they do, you lose the item.
- Magic: The Gathering has a few creatures that can do this including Acid Web Spider which destroys an equipment card when it comes into play and Manic Vandal which can destroy any artifact, equipment included.
- There's a lot of equipment-destroying stuff in Sentinels of the Multiverse, mostly because without them characters like Absolute Zero and the Wraith get out of control.
- On the world of Titan from the Fighting Fantasy gamebooks, you have the Iron Eater, a Blob Monster that lurks on ceilings to fall on unwary adventurers if it smells metal. It's inoffensive to living flesh, but will devour steel armors, helmets or weapons with glee.
- In Dungeons & Dragons, there are several types of monsters that love eating your equipment.
- Rust monsters are universally loathed by warrior types for their penchant for instantly destroying and eating anything metal that they strike or are struck by, such as prized magical swords and armor. Some crafty players have tried cutting off a rust monster's antennae so they could inflict this trope upon their foes.
- Oozes are notorious for eating away anything they touch that isn't immune to acid.

- The first edition Fiend Folio offered disenchanters, weird Seussian monsters resembling blue humpless camels with trunks that could suck the magic right out of an object with their nose.
- 4th edition added augmented rust monsters called dewomer eaters which decay magic items (even ranged weapons or implements), although there still no long term risk as the magic item can still be reconstructed from residuum from the monster's stomach.
- Many other games, such as Tales Of Blades And Heroes, have similar monsters with different names.
- Hoops, a type of mutant rabbit from Gamma World, don't actually eat your equipment, but have the ability to turn metal to rubber. Word of God has it that they were intentionally given this power so that gamemasters can use them to take away high-tech equipment that turns out to be too powerful for game balance. Hence, they serve the same purpose as rust monsters, even if they don't actually chow down on the resulting rubber gear.
- In Castle Crashers, the Thief can eat away both the foods and golds lying on the ground.
- The floating skull in the bridge in The Goonies II, which eat your boomerang.
- Like Likes in The Legend of Zelda games. They started off eating your shield, but in later games they can eat other equipment or even rupees. Depending on the game you can save your equipment if you kill/escape them quickly enough.
- In the original The Legend of Zelda I, if you let one Like-Like touch you, it quickly envelops you and you can pretty much kiss your Magical Shield (if you have one) goodbye. Your only chance to escape without losing your Magical Shield is to have the Magical Sword and give it the required three stabs as quickly as possible. If you have anything less than the Magical Sword, you'd better hope you were caught by one that has already taken damage!
- There's also the Pikit, which only appears in A Link to the Past. It is a hopping, plantlike creature that can snatch several different items from Link, not just the shield; fortunately it never eats anything that can't be replaced. You can get back the most recently stolen item by killing it.
- Tingle becomes this in Four Swords Adventures. If you leave force gems (what you need to beat the game) on the ground for too long, he'll show up and try to steal them.
- A subverted example in The Legend of Zelda: Breath of the Wild.  They also consume any weapons left on the ground when they inhale, and, after chewing them up a bit, hurl them back at you at high speed. However, when a Rusty weapon is inhaled, pink gas will be emitted from the Rock Octorok and it spits out your weapon, but cleaned and upgraded to either Soldier, Knight or Royal rank (though what you actually get is a crapshoot).
- Sukaritt from Megaman Legends 2 would follow you around but not actually do anything to you.
- The Devourer, in Alternate Reality, even has an in-game song about it. This creature appears when you have too many inventory items and eats them.
 Some can be negated by enchanting your gear to make it rust/fire/rot-proof, but disenchanters cannot.
- Dungeon Crawl has jellies that eat items left on the dungeon floor or even doors. Feeding items to jellies is even necessary if you want to gain favor with Jiyva, the god of slime.
- Ragnarok Online has the various species of Poring, that by and large like to munch on whatever items are on the floor. It's possible to kill them to retrieve whatever you lost, but if you somehow manage to drop something valuable, have that thing eaten, and are then killed by a high-tier Poring, those items are up for grabs to whomever takes the offending jelly-bulb down.
- There are numerous other monsters like the aptly named Thief Bugs who are fond of doing this, and they have the nerve to drastically increase their already high movement speed when they notice something on the ground. This wouldn't be much of an issue if not for the fact that after a monster picks up a certain amount of items, any further items it "collects" are simply destroyed instead. It just so happens that one of the most valuable items in the game is dropped by a boss found in an area positively swarming with aforementioned monsters...
- Gears of War 3: Feral Tickers.
- Sonic Shuffle features "forcejewels", gems you could use for an assortment of effects. One of the forcejewels you can pick up isn't a gem at all, but a fairy called "carbuncle" that ate forcejewels; once it runs out of gems, it will eat itself.
- In Super Smash Bros. Brawl, Munchlax eats items on the ground.
- Final Fantasy Tactics Advance features Bladebiters, who will eat your weapons if given the opportunity.  Forutnately nearly ever race has access to the Maintenace support ability, which will No-Sell equipment destruction.
- Colibri, exotic pink birds added to Final Fantasy XI in its 3rd expansion, Treasures of Aht'Urgan, don't eat your armor weapon or items, but if you try fighting them with a food buff they will steal it from you. That's right, apparently these bird fly down your throat and rip food right out of you stomach.
- Dark Souls has acid: the Gaping Dragon boss and the pyromancy Acid Surge reduce the condition of your gear dramatically. Hope you weren't using unrepairable crystal weapons.
- Kid Icarus
- The game features the greedy Pluton, which will swipe your arrows of strength if they touch you.
- The Pluton returns in Kid Icarus: Uprising, where it'll steal weapons and powers you've collected in the level.
- Eye of the Beholder, being based on AD&D, has one type of such monsters in each game:
- The rust monsters in EotB1 will eat any metal item.
- The gelatinous cubes in EotB2 can also destroy items on a hit.

- The Jestabocky Dream Eaters in Kingdom Hearts 3D: Dream Drop Distance will steal any pick-ups that are on the ground if left unattended, whether they be HP balls, munny, or items. You can't get them back by defeating them, either. On the plus side, if you have them as allies, they'll gather the items for you.
- In Raft the Threatening Shark will munch squares of your raft and whatever happens to be on them.
- The objective in Defense Grid: The Awakening is to prevent the aliens from stealing your power cores. If any leave the map, which occurs most easily with flying enemies, they are gone for that level.
- Iron Grazers in Lands of Lore: The Throne of Chaos can dissolve your armor if you don't kill them quickly enough. There are a few other enemies in the game that do the same thing, but the Iron Grazers are the only ones you get warned about.
- In Pokémon Mystery Dungeon: Gates to Infinity, if an enemy Pokemon successfully damages you with Bug Bite or Pluck, they'll use a random edible item in your inventory, which can be extremely detrimental if they happen to target your Reviver Seeds. Not surprisingly, the toughest dungeons tend to have stretches that are swarming with Pokemon that know those moves for the sake of exhausting your supplies. These moves also exist in the main Pokémon RPGs, where they consume the target's held berry if there is one.
- Gradius has enemies that grab your options and run off with them.
- Riviera: The Promised Land has the Slime category of enemies. Most of their attacks will drain a point of durability from everything you bring into the battle. Frustratingly, this still applies in practice battles.
- Dokapon Kingdom has the Big Black Bug which can be forced onto you. As long as you have it, it randomly eats an item in your inventory. You can either wait for it to eventually disappear, eat the last item from your pack, or defeat another player and force them to pick it up.
- One dungeon in chapter 3 of Neverwinter Nights: Hordes of the Underdark featured a Mimic (living treasure chest monster) that would grab your armor at the beginning of the level (leading to much commentary from your allies) and then run off. In order to defeat it, you had to use piles of gemstones, which it also ate, to lure it into striking range.
- The old roguelike Moraff's World has white dragons, who breath acid which instantly dissolves your equipped armor. Thankfully, swapping out your +25 Titanium plate for your own (thankfully immune) skin is a free action.
- The crows at the beginning of Earthbound steal food items from you. At least after they do so, they sit there with a smug grin on their face for several turns rather than attacking, and they drop cookies when defeated.
- The mummies in Miitopia can eat the Miis' weapons, severely reducing the offensive powers of the poor despoiled things. Thankfully, they spit the weapons out when defeated (the Miis comment that their weapon is all slimy, though).
- For a currency version, Brainsuckers from Bloodborne drain your Insight points on a hit.
- Moths. Well, their caterpillars to be more specific. Say good-bye to that nice wool shirt or comforter of yours, because those little buggers thought it was delicious!
- Never put your pet rats' cage within grabbing range of anything fabric you don't want destroyed. They may not actually swallow your brand new curtains, but they'll certainly chew them until they become your brand new fishing net.


In several short steps we will show you how easy it is to connect a sensor to your board and start sending data the the Cloud.
The {{selectedSensor.name.toLowerCase()}} plugs into one of the grove ports on the BeagleBone Green. Note: these ports are not identical, make sure it is the one shown.
The {{selectedSensor.name.toLowerCase()}} plugs into any analog port. Plug it into the AIN 0.
The {{selectedSensor.name.toLowerCase()}} plugs into any analog port. Plug it into the AIN 2.
To connect the {{selectedSensor.name.toLowerCase()}} to your BeagleBone Green you’ll need the Analog to Digital Converter (ADC) module too. On one side it has an I2C connector and on the other an analog one. Make sure the labeling on the connecter matches the one you’re connecting with.
The {{selectedSensor.name.toLowerCase()}} plugs into GPIO 115.
The {{selectedSensor.name.toLowerCase()}} plugs into GPIO 117.
Now that you sensor is physically connected, we will start reading data from it locally on the device
Start collecting data
Verify your sensor is generating outputSee nothing? Re-check your connections carefully!
{{ selectedSensor.hint }}
In this step, you will send data into Google Cloud Platform and read out the data in another place.
Next we'll show you that your data can be stored in the cloud, so it can be accessed by another client anywhere on the planet.
Flip this switch to start sending the sensory data into the cloud.
Now that your data is being sent to the cloud, it's time to read out data from another view.
Visit {{ sensorDataUrl }}
Start over


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The hybrid application's an application with the connected microservice/s. It's possible to combine the INestApplication with the endless number of the INestMicroservice instances.
INestApplication
INestMicroservice
{{ hybridApplication }}


Scritchy: CQRS without plumbing - a preview
Introduction
CQRS is one of my architectural pet peeves, as you might have noticed from the numerous amount of blog posts I made on this subject. However, I noticed the concept is complicated and hard to grasp for newcomers to CQRS. I have been spiking numerous attempts of a framework that makes CQRS both more manageable and understandable, failed hundreds of times, and even published a few of my acceptable attempts as gists over at github...
A few days ago I was messing around with SignalR trying to setup again another CQRS attempt, and failed miserably.... However, 2 nights after that approach I had an ephiphany which had been lingering around in my head ever since.
Today I decided to get back to business, so this afternoon I started spiking a proof of concept (POC).
I think you will be happy to see that I managed to get most of the annoyance out of CQRS with this simple concept.
Show me the codez !!!
Before I show you the codes, I would like to mention a few things, since it is a POC:
- My eventstore is currently implemented as a List of objects. While this works for this concept, you can imagine that this might get you into trouble
- The Aggregate roots get completely rebuilt every single time (no cache), so the app might get a litlle bit slow when you push numerous commands to it
- The concept is completely synchronous, but making it asynchronous should be effortless.
- The functionality I talked about in these 3 points are currently implemented as overrides of the abstract class ScratchBus, which requires you to override the function to load an ar, and to replay events on an object. As there are some nice alternatives available, I am not planning on reimplementing them, but for now I opt for the simplest thing that could possibly work.
- I am currently still thinking about conventions for the viewmodels as these conventions need to provide more flexibiltity then just EVENT/AR.ID binding... I am not sure whether I will find an acceptable solution on that matter...
This is the only code required to get a fully working AR with events... IMO it looks pretty clean. As you might have guessed there are some conventions used in order to get the plumbing out of the way.
What do you think ? Pretty clean I would assume ?
Sold! Where can I get it ?
Depending on the feedback I get, I might push it online over at my github account, but for now, I would rather try to find a good solution for the viewmodel/event conventions.
Update: I published the sourcecode over at my github account.
Update 2: Whenever I push the source to github, the demo at appharbor gets updated as well automagically.
Feel free to PM me any time (or tweet; @tojans )...
Conclusion
While this is still a work in progress, and nowhere near ready for production usage, I think this might actually be a pretty cool implementation. If I can somehow find a way to complete this framework, I think I might be on to something here.
I am aware that CQRS is considered to complicated by some, and I am aware that some experts advise against the usage of CQRS in most cases. However, it is my opinion that CQRS provides you with a proper template for development, where everything is nicely separated the way it is supposed to be, and easily adjustable. Another motivation for the CQRS approach is the spaghetti-code of the nillies, currently also known as lasagna-code: numerous amounts of layers over layers that make adding a simple field to a screen a few days of work.
By providing Scritchy, I am trying to find a way to make CQRS not only working, but also relatively easy to use and understand.
This is not the end, but the beginning of a new path...


Episode 1: Pilot
Rick takes Morty on a trip to another dimension to find seeds to "mega-trees," while Jerry and Beth argue over Rick's influence over their son. Rick establishes himself as a bad influence on his grandson when it is discovered that Morty has missed a semester of school in the time he's spent on adventures with Rick. Rick takes Morty to another dimension, known as Dimension 35-C, which has the perfect conditions for growing "Mega Trees", which Rick requires for his research. Ultimately, the seeds are used to briefly make Morty highly intelligent, causing his parents to believe he is fine with his education and let Rick stay.
 Snuffles' view on life changes after watching a TV special about dogs being domesticated and being forced into subservience. Meanwhile Rick and Morty invade the dreams of Morty's math teacher so he can give Morty an A.
Episode 3: Anatomy Park
Morty ends up in a bizarre Jurassic Park style amusement park of infectious diseases located inside of a homeless man. Jerry's parents introduce their new mutual lover. While the rest of the family accepts and supports the relationship, Jerry becomes insecure and defensive, allowing his anxiety over his parents' relationship to negatively affect him throughout the episode.
Episode 4: M. Night Shaym-Aliens!
Aliens send Rick, Morty and Jerry into an alternate reality, and Rick tries to get them out. Meanwhile, Jerry has been abducted into the simulation too, and calmly goes about the day's events without noticing the numerous glitches, as the simulation is made to run on very low capacity. Rick and Morty reunite with Jerry as they attempt to find a real escape pod to use. They climb into one but are promptly pursued by Zigerion ships. Rick orders Morty to mix 2 parts cesium, 1 part plutonic quartz, and an entire (12ox/355mL) bottled water to create concentrated dark matter. But then, Morty freezes and the ship fades away, proving that it was just Rick and Jerry in the simulation all along.
Episode 5: Meeseeks and Destroy
Morty has grown weary of Rick's shenanigans, so he leads a supposedly safer adventure. Jerry conjures weird creatures, Mr. Meeseeks, to help him with his golf game, which they fail to do due to Jerry's incompetence. Eventually the original Meeseeks, having been alive for over two days (an eternity in Meeseeks time), tells his fellows that he has a solution to permanently take all strokes off Jerry's game, by killing him.
Episode 6: Rick Potion #9
A potion designed to make Morty attractive to one girl goes viral and infects all of Earth, so Rick has to clean up the mess by creating another mess. Rick releases his antidote along with a second airborne virus. It appears to have been successful until the town starts growing mantis-like appendages. Now not only do they still wish to copulate with Morty but also have the urge to behead him afterward.
Episode 7: Raising Gazorpazorp
After Morty fathers a child with a sex robot, Rick and Summer visit the robot's planet, where the kid grows into an adult within days. Morty Jr. has begun a rampage following an epiphany backed by music. Driven on Jerry's car, Morty tries to calm Morty Jr. down, which he eventually succeeds in. Morty admits to Morty Jr. that he is an alien and he wasn't a good father, but explains that he really wanted Morty Jr. to channel his destructive nature to creative outlets.
Episode 8: Rixty Minutes
Unimpressed with what's on TV, Rick installs cable that gets shows from other dimensions. Everyone uses special goggles to see their alternate selves. The alternate realities of their lives shake Jerry and Beth to the core, and they decide that maybe it'd be better to spend time apart. At the end they watch as alternate reality Jerry arrives at the doorstep of an alternate reality Beth, telling her that he hated his life and regretted not continuing their relationship. Beth and Jerry are stunned, as they run to each other to embrace.
Episode 9: Something Ricked This Way Comes
Rick is skeptical of Summer's new job at a shop run by the devil. Jerry and Morty argue about Pluto's status as a planet and end up traveling there. Needful Things begins to sell a variety of items, but Summer and Mr. Needful discover it's because Rick as opened a shop called Curse Purge Plus!. The shop removes the curses for a fee, and is an instant hit. This causes a strain on Mr. Needful's confidence and he attempts to kill himself, but is saved by Summer. Summer arrives into Rick's shop to concede defeat, which results in Rick getting bored and burning the shop to the ground.
Episode 10: Close Rick-counters of the Rick Kind
Rick's just trying to enjoy a nice breakfast, but he's kidnapped by a group of alternate Ricks and taken to stand trial for crimes against Ricks. The Trans-Dimensional Council of Ricks orders the arrest of Rick C-137 (the show's original Rick) and accuses him of the crimes due to his refusal to participate in their affairs. Angry that he was framed, Rick escapes the Council with Morty to go after the real culprit who set him up and finds that another Rick is supposedly responsible for murdering their counterparts while stealing their Morties to conceal his presence.
Episode 11: Ricksy Business
When Jerry and Beth go away to take part in a re-creation of the sinking of the Titanic, Rick and Summer throw a party that gets out of control. Rick's party is getting crazier, Summer blows off a friend of hers named Nancy, which gets her some flak from Rick. After an entire episode of doubt Morty realizes he does want to continue on his adventures with Rick and pleads with Rick to do something. Rick uses a device that completely freezes time for the entire world, allowing them to clean up at their own pace. Summer, Morty, and Rick then leave their parents and the world frozen for an immeasurable amount of time, having fun with each other.