Da Vinci Payer Data exchange - Local Development build (v0.3.7). See the Directory of published versions
This guide is based on the HL7 FHIR ( http://build.fhir.org/index.html ) standard, as well as the CDS Hooks ( https://cds-hooks.org/ ) , SMART on FHIR ( http://docs.smarthealthit.org/ ) and OAuth2.0 ( https://oauth.net/2/ )standards, which build additional capabilities on top of FHIR. This architecture is intended to maximize the number of clinical systems that conform to this guide as well as to allow for easy growth and extensibility of system capabilities in the future.
This Implementation Guide (IG) also utilizes the profiles detailed in the HL7 FHIR� US Core Implementation Guide STU3 Release 3.1.0 ( https://www.hl7.org/fhir/us/core/ ) based on HL7 FHIR Release 4. This guide addresses use cases for payers to share clinical information with members, their authorized third-party applications, other payers or providers. In addition the guide adds profiles and operations that are either not available or are unsuited for use by the payer community. An example of this is the MedicationDispense that is used to record the prescription medications supplied by a pharmacy to a health plan member. The relationship between US Core and Payer Data Exchange can be expressed in a venn diagram as shown below.
Implementers of this specification therefore need to understand some basic information about these specifications, which act as building blocks for this Implementation Guide.
The purpose of this Implementation Guide is to enable data to be exchanged between Health Plans (Payers) and Practitioners (Providers) and via Member-authorized exchange between Health Plans and Third Party Applications, or with other health plans.
All data exchanged by Health Plans using the interactions covered in this IG SHALL be transformed to FHIR R4 resources. Health Plans MAY have both data from clinical and claims sources that they store in their Systems of Record. This IG does not require Health Plans to store this data in FHIR formats, only to be able to transform it to FHIR resources for the purposes of data exchange with Providers, other Health Plans and Third Party Applications for the interactions covered in this IG.
There are items in this guide that are subject to update. This includes:
At this point in time the mapping from X12 specifications to US Core Resources is not included as part of the IG. We have mapped the CARIN Alliance CPCDS as a generic representation of information held by Payers relevant to representation in US Core profiles.
We will provide an update to the CPCDS mapping to US Core Profiles now that the CARIN Consumer-Directed Exchange IG has been submitted to ballot. Should we identify gaps we will evaluate the options to address them.
The Vocabulary, Value Sets and codings used to express data in this IG are subject to review and will be reconciled with X12 ( http://www.x12.org ).
The schematic shown below provides an overview of this transformation.
Health Plans receive data from many other sources that contribute to a Member’s Health History. In addition to medical claims Health Plans may receive C-CDA documents or HL7 V2 messages, such as Admit, Discharge, Transfer (ADT) Messages. As an example the diagram below shows how an ADT Message can be transformed into HL7 FHIR Resources:
This IG covers three methods of information exchange:
An overview of the flow of the CDS-Hooks and SMART-on-FHIR exchange is shown below. This exchange flow is used for communication between Providers and Health Plans. The CDS-Hook will be used to perform a Patient/Member match and return a token that enables a SMART-on-FHIR App to access information via the Health Plan’s FHIR API for the matched member.
The sharing of data with a member-controlled Third Party App is accomplished through the Member’s HIPAA Right of Access. As such the member is able to use their data in any way they desire. Consequently the Third Party App may not be a HIPAA Covered Entity or Business Associate of a covered entity and may not be covered by HIPAA controls in the use of data, sensitive or otherwise. If it is an authorization to exchange data between two covered entities (e.g. Payer to Payer) the controls for protecting sensitive information flow with the data.
The well defined mechanism for enabling Member/Patient authorization to share information with a SMART-on-FHIR application framework process. The member SHALL authenticate using credentials that have been issued by, or are recognized and accepted by the Health Plan. These are typically the member’s customer portal credentials for accessing the health plan.
After authenticating the Member SHALL be presented with an Authorization screen that enables them to approve the sharing of information with the Third Party, or new Health Plan, Application that has client application credentials registered with the Health Plan.
The $patient-everything operation for an individual member enables the potential use of Bulk FHIR, using such formats as ND-Json. This IG does not define the alternate secure transport mechanisms that may be used for exchange between Health Plans. However, the IG does allow for the use of Bulk FHIR formats to exchange data for an individual member where the member has authorized that exchange or Federal, state or local regulations authorize the sharing of information between parties.
The use of the Bulk FHIR specification for transmission of member data SHALL honor jurisdictional and personal privacy restrictions that are relevant to a member’s health record.
Data Segmentation capabilities for Bulk Data Transfer are currently being developed by FHIR community members that may have an impact on future revisions of the IG.
Since Health Plans compile information from many sources to create a Member’s Health History it is important that data traceability is maintained. This guide defines a Provenance resource that is used for this purpose. This resource supplements US Core Provenance profile which is typically not suited to payer’s common use cases. The PDex Provenance profile is used to identify the source of information, the agents the data passed through and the actions they performed on the data.
Health Plans SHALL incorporate provenance records that they receive as part of any exchange of FHIR data. Where a FHIR Provenance resource is not provided, such as when data is received from other non-FHIR sources, the Health Plan SHALL create FHIR Provenance record(s) to identify the source of the information being received and the actions applied to the data, such as converting from one format to another. Health Plans SHALL provide Provenance records in any PDex information exchange.
In the case of historical data the Health Plan SHOULD identify the author, source and format of the data .
Provenance is covered in more detail in Handling Data Provenance.


Bachelor of Science in Information Technology
Pangasinan State University - Lingayen
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Shopify SDK for Unity
|
Public Types | |
| enum class | BlurType { StandardGauss = 0 , SgxGauss = 1 } |
Public Member Functions | |
| override bool | CheckResources () |
| void | OnDisable () |
| void | OnRenderImage (RenderTexture source, RenderTexture destination) |
| Public Member Functions inherited from ShopifySDKExampleStandardAssets.ImageEffects.PostEffectsBase | |
| bool | Dx11Support () |
Public Attributes | |
| int | downsample = 1 |
| float | blurSize = 3.0f |
| int | blurIterations = 2 |
| Color | overlayColor |
| float | overlayAmount = 0.3f |
| BlurType | blurType = BlurType.StandardGauss |
| Shader | blurShader = null |
Additional Inherited Members | |
| Protected Member Functions inherited from ShopifySDKExampleStandardAssets.ImageEffects.PostEffectsBase | |
| Material | CheckShaderAndCreateMaterial (Shader s, Material m2Create) |
| Material | CreateMaterial (Shader s, Material m2Create) |
| bool | CheckSupport () |
| void | Start () |
| bool | CheckSupport (bool needDepth) |
| bool | CheckSupport (bool needDepth, bool needHdr) |
| void | ReportAutoDisable () |
| void | NotSupported () |
| void | DrawBorder (RenderTexture dest, Material material) |
| Protected Attributes inherited from ShopifySDKExampleStandardAssets.ImageEffects.PostEffectsBase | |
| bool | supportHDRTextures = true |
| bool | supportDX11 = false |
| bool | isSupported = true |


Contact Us
SpreeWaldGürcken GmbH
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Tel: +49 1111-555-1212
Email<EMAIL_ADDRESS>About Our Services
Are you on holiday in the Spreewald for the first time? Or do need information about holiday activities in the Spreewald? The tips below will help you plan your trip to the Spreewald better. We assure you of an experience that is affordable, your monies worth, and above all, worth your recreational time.


KituraKit - A Kitura v2 Client Library
Kitura is a lightweight web framework for creating complex web routes for web applications.
KituraKit allows developers to use Swift 4’s Codable protocol in their front and back end applications and use the same code on the front and backend.
It also provides a Create, Read, Update and Delete (CRUD) API to make calls to servers easy and as swift-y as possible.
Usage
To try out the sample iOS project for yourself, making use of KituraKit, click here.
For more information on how to use KituraKit in your own iOS project, click here.


describe.descriptors package¶
Submodules¶
describe.descriptors.acsf module¶
-
class
describe.descriptors.acsf.
ACSF
(n_atoms_max, types, bond_params=None, bond_cos_params=None, ang_params=None, flatten=True)[source]¶ Bases:
describe.descriptors.descriptor.Descriptor
-
ang_params
¶
-
bond_cos_params
¶
-
bond_params
¶
-
describe
(system)[source]¶ Creates the descriptor for the given systems.
Args: system (System): The system for which to create the descriptor.
Returns: A descriptor for the system in some numerical form.
-
get_number_of_features
()[source]¶ Used to inquire the final number of features that this descriptor will have.
Returns: int: Number of features for this descriptor.
-
rcut
¶
-
types
¶
-
-
class
describe.descriptors.acsf.
ACSFObject
[source]¶ Bases:
_ctypes.Structure
-
G2
¶ Structure/Union member
-
G3
¶ Structure/Union member
-
Z
¶ Structure/Union member
-
acsfs
¶ Structure/Union member
-
alloc_atoms
¶ Structure/Union member
-
alloc_work
¶ Structure/Union member
-
ang_params
¶ Structure/Union member
-
bond_cos_params
¶ Structure/Union member
-
bond_params
¶ Structure/Union member
-
cutoff
¶ Structure/Union member
-
distances
¶ Structure/Union member
-
nG2
¶ Structure/Union member
-
nG3
¶ Structure/Union member
-
nSymTypes
¶ Structure/Union member
-
nTypes
¶ Structure/Union member
-
n_ang_params
¶ Structure/Union member
-
n_bond_cos_params
¶ Structure/Union member
-
n_bond_params
¶ Structure/Union member
-
natm
¶ Structure/Union member
-
positions
¶ Structure/Union member
-
typeID
¶ Structure/Union member
-
types
¶ Structure/Union member
-
describe.descriptors.coulombmatrix module¶
-
class
describe.descriptors.coulombmatrix.
CoulombMatrix
(n_atoms_max, permutation='sorted_l2', sigma=None, flatten=True)[source]¶ Bases:
describe.descriptors.matrixdescriptor.MatrixDescriptor
Calculates the zero padded Coulomb matrix.
The Coulomb matrix is defined as:
- C_ij = 0.5 Zi**exponent | i = j
- = (Zi*Zj)/(Ri-Rj) | i != j
The matrix is padded with invisible atoms, which means that the matrix is padded with zeros until the maximum allowed size defined by n_max_atoms is reached.
To reach invariance against permutation of atoms, specify a valid option for the permutation parameter.
- For reference, see:
- “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”, Matthias Rupp, Alexandre Tkatchenko, Klaus-Robert Mueller, and O. Anatole von Lilienfeld, Phys. Rev. Lett, (2012), https://doi.org/10.1103/PhysRevLett.108.058301
- and
- “Learning Invariant Representations of Molecules for Atomization Energy Prediction”, Gregoire Montavon et. al, Advances in Neural Information Processing Systems 25 (NIPS 2012)
describe.descriptors.descriptor module¶
-
class
describe.descriptors.descriptor.
Descriptor
(flatten=True)[source]¶ Bases:
object
An abstract base class for all descriptors.
-
create
(system, **kwargs)[source]¶ Creates the descriptor for the given systems.
Parameters: - system (System) – The system for which to create the
- descriptor. –
-
describe.descriptors.elementaldistribution module¶
-
class
describe.descriptors.elementaldistribution.
ElementalDistribution
(properties, flatten=True)[source]¶ Bases:
describe.descriptors.descriptor.Descriptor
Represents a generic distribution on any given grid for any given elemental properties. Can create both continuos and discrete distributions.
Continuous distributions require a standard deviation and the number of sampling points. You can also specify the minimum and maximum values for the axis. If these are not specified, a limit is selected based automatically on the values with:
min = values.min() - 3*std max = values.max() + 3*stdDiscrete distributions are assumed to be integer values, and you only need to specify the values.
-
describe
(system)[source]¶ Parameters: system (ase.Atoms) – The system for which this descriptor is created. Returns: - The concatenated distributions of the
- specified properties in a sparse array.
Return type: scipy.sparse.lil_matrix
-
gaussian_sum
(centers, weights, minimum, maximum, std, n)[source]¶ Calculates a discrete version of a sum of Gaussian distributions.
The calculation is done through the cumulative distribution function that is better at keeping the integral of the probability function constant with coarser grids.
The values are normalized by dividing with the maximum value of a gaussian with the given standard deviation.
Parameters: - centers (1D np.ndarray) – The means of the gaussians.
- weights (1D np.ndarray) – The weights for the gaussians.
- minimum (float) – The minimum grid value
- maximum (float) – The maximum grid value
- std (float) – Standard deviation of the gaussian
- n (int) – Number of grid points
- settings (dict) – The grid settings. A dictionary containing the following information:
Returns: Value of the gaussian sums on the given grid.
-
get_axis
(property_name)[source]¶ Used to return the used x-axis for the given property.
Parameters: - property_name (str) – The property name that was used in the
- constructor. –
Returns: An array of x-axis values.
Return type: np.ndarray
-
describe.descriptors.ewaldmatrix module¶
-
class
describe.descriptors.ewaldmatrix.
EwaldMatrix
(n_atoms_max, permutation='sorted_l2', sigma=None, flatten=True)[source]¶ Bases:
describe.descriptors.matrixdescriptor.MatrixDescriptor
Calculates an ‘Ewald matrix’ for the a given system.
Each entry x_ij of the Ewald matrix will contain the full Coulomb energy for a subsystem consisting of the atoms i and j in the unit cell (or just i on the diagonal) after a constant background charge has been added to counteract any possible net charge in that particular subsystem.
The final matrix elements will not be dependent on the value of the screening parameter a that is used.
The regular Ewald summation energy cannot be properly divided into parts for each ij pair of atoms in the unit cell, because the terms of the reciprocal and real space components depend on the value of the screening parameter a that is used. This dependency is countered with the scalar self-terms and the possible charge term, which make the sum a constant, but not the .
- For reference, see:
- “Crystal Structure Representations for Machine Learning Models of Formation Energies”, Felix Faber, Alexander Lindmaa, Anatole von Lilienfeld, and Rickard Armiento, International Journal of Quantum Chemistry, (2015), https://doi.org/10.1002/qua.24917
- and
- “Ewald summation techniques in perspective: a survey”, Abdulnour Y. Toukmaji, John A. Board Jr., Computer Physics Communications, (1996) https://doi.org/10.1016/0010-4655(96)00016-1
describe.descriptors.lmbtr module¶
-
class
describe.descriptors.lmbtr.
LMBTR
(atomic_numbers, k, periodic, grid=None, weighting=None, flatten=True)[source]¶ Bases:
describe.descriptors.mbtr.MBTR
Implementation of local – per chosen atom – kind of the Many-body tensor representation up to K=3.
You can use this descriptor for finite and periodic systems. When dealing with periodic systems, please always use a primitive cell. It does not matter which of the available primitive cell is used.
-
K1
(system, settings)[source]¶ Calculates the first order terms where the scalar mapping is the number of atoms of a certain type.
Parameters: Returns: flattened K1 values.
Return type: 1D ndarray
-
K2
(system, settings)[source]¶ Calculates the second order terms where the scalar mapping is the inverse distance between atoms.
Parameters: Returns: flattened K2 values.
Return type: 1D ndarray
-
K3
(system, settings)[source]¶ Calculates the third order terms where the scalar mapping is the angle between 3 atoms.
Parameters: Returns: flattened K3 values.
Return type: 1D ndarray
-
cosines_and_weights
(system)[source]¶ Calculates the cosine of the angles and their weights between unique three-body combinations.
Parameters: system (System) – The atomic system. Returns: (cosine, weights) Cosines of the angles (values between -1 and 1) in the form {i: { j: [list of angles] }}. The weights corresponding to the angles are stored in a similar dictionary. #TODO: Some cosines are encountered twice, e.g. the angles for OHH would be the same as for HHO. These duplicate values are left out by only filling values where k>=i.
Return type: tuple
-
decay_factor
= 4.242640687119286¶
-
describe
(system, list_atom_indices=None, list_positions=None, scaled_positions=False)[source]¶ Return the many-body tensor representation as a 1D array for the given system.
Parameters: - system (System) – The system for which the descriptor is created.
- list_atom_indices (iterable) – indices of atoms, from which local_mbtr is needed
- list_positions (iterable) – positions of points, from which local_mbtr is needed
- scaled_positions (boolean) – if list of positions are scaled use only if system allows it
Returns: The many-body tensor representation up to the k:th term as a flattened array.
Return type: 1D ndarray
-
get_number_of_features
()[source]¶ Used to inquire the final number of features that this descriptor will have.
Returns: Number of features for this descriptor. Return type: int
-
describe.descriptors.matrixdescriptor module¶
-
class
describe.descriptors.matrixdescriptor.
MatrixDescriptor
(n_atoms_max, permutation='sorted_l2', sigma=None, flatten=True)[source]¶ Bases:
describe.descriptors.descriptor.Descriptor
A common base class for two-body matrix-like descriptors.
-
describe
(system)[source]¶ Parameters: system (System) – Input system. Returns: - The zero padded Coulomb matrix either as a 2D array or as
- a 1D array depending on the setting self.flatten.
Return type: ndarray
-
get_eigenspectrum
(matrix)[source]¶ Calculates the eigenvalues of the matrix and returns a list of them sorted by their descending absolute value.
Parameters: matrix (np.ndarray) – The matrix to sort. Returns: A list of eigenvalues sorted by absolute value. Return type: np.ndarray
-
get_number_of_features
()[source]¶ Used to inquire the final number of features that this descriptor will have.
Returns: Number of features for this descriptor. Return type: int
-
sort
(matrix)[source]¶ Sorts the given matrix by using the L2 norm.
Parameters: matrix (np.ndarray) – The matrix to sort. Returns: The sorted matrix. Return type: np.ndarray
-
sort_randomly
(matrix, sigma=1)[source]¶ Given a coulomb matrix, it adds random noise to the sorting defined by sigma. For sorting, L2-norm is used
Parameters: matrix (np.ndarray) – The matrix to randomly sort. - sigma:
- float: Width of gaussian distributed noise determining how much the
- rows and columns of the randomly sorted coulomb matrix are scrambled.
Returns: The randomly sorted matrix. Return type: np.ndarray
-
describe.descriptors.mbtr module¶
-
class
describe.descriptors.mbtr.
MBTR
(atomic_numbers, k, periodic, grid=None, weighting=None, flatten=True)[source]¶ Bases:
describe.descriptors.descriptor.Descriptor
Implementation of the Many-body tensor representation up to K=3.
You can use this descriptor for finite and periodic systems. When dealing with periodic systems, please always use a primitive cell. It does not matter which of the available primitive cell is used.
-
K1
(system, settings)[source]¶ Calculates the first order terms where the scalar mapping is the number of atoms of a certain type.
Parameters: Returns: flattened K1 values.
Return type: 1D ndarray
-
K2
(system, settings)[source]¶ Calculates the second order terms where the scalar mapping is the inverse distance between atoms.
Parameters: Returns: flattened K2 values.
Return type: 1D ndarray
-
K3
(system, settings)[source]¶ Calculates the third order terms where the scalar mapping is the angle between 3 atoms.
Parameters: Returns: flattened K3 values.
Return type: 1D ndarray
-
cosines_and_weights
(system)[source]¶ Calculates the cosine of the angles and their weights between unique three-body combinations.
Parameters: system (System) – The atomic system. Returns: (cosine, weights) Cosines of the angles (values between -1 and 1) in the form {i: { j: {k: [list of angles] }}}. The weights corresponding to the angles are stored in a similar dictionary. #TODO: Some cosines are encountered twice, e.g. the angles for OHH would be the same as for HHO. These duplicate values are left out by only filling values where k>=i.
Return type: tuple
-
create_extended_system
(primitive_system, term_number)[source]¶ Used to create a periodically extended system, that is as small as possible by rejecting atoms for which the given weighting will be below the given threshold.
Parameters: Returns: The new system that is extended so that each atom can at most have a weight that is larger or equivalent to the given threshold.
Return type:
-
decay_factor
= 4.242640687119286¶
-
describe
(system)[source]¶ Return the many-body tensor representation as a 1D array for the given system.
Parameters: system (System) – The system for which the descriptor is created. Returns: The many-body tensor representation up to the k:th term as a flattened array. Return type: 1D ndarray
-
elements
(system)[source]¶ Calculate the atom count for each element.
Parameters: system (System) – The atomic system. Returns: The counts for each element in a list where the index of atomic number x is self.atomic_number_to_index[x] Return type: 1D ndarray
-
gaussian_sum
(centers, weights, settings)[source]¶ Calculates a discrete version of a sum of Gaussian distributions.
The calculation is done through the cumulative distribution function that is better at keeping the integral of the probability function constant with coarser grids.
The values are normalized by dividing with the maximum value of a gaussian with the given standard deviation.
Parameters: - centers (1D np.ndarray) – The means of the gaussians.
- weights (1D np.ndarray) – The weights for the gaussians.
- settings (dict) – The grid settings
Returns: Value of the gaussian sums on the given grid.
-
get_number_of_features
()[source]¶ Used to inquire the final number of features that this descriptor will have.
Returns: Number of features for this descriptor. Return type: int
-
inverse_distances
(system)[source]¶ Calculates the inverse distances for the given atomic positions.
Parameters: system (System) – The atomic system. Returns: Inverse distances in the form: {i: { j: [list of angles] }}. The dictionaries are filled so that the entry for pair i and j is in the entry where j>=i. Return type: dict
-
describe.descriptors.sinematrix module¶
-
class
describe.descriptors.sinematrix.
SineMatrix
(n_atoms_max, permutation='sorted_l2', sigma=None, flatten=True)[source]¶ Bases:
describe.descriptors.matrixdescriptor.MatrixDescriptor
Calculates the zero padded Sine matrix for different systems.
The Sine matrix is defined as:
- Cij = 0.5 Zi**exponent | i = j
- = (Zi*Zj)/phi(Ri, Rj) | i != j
where phi(r1, r2) = | B * sum(k = x,y,z)[ek * sin^2(pi * ek * B^-1 (r2-r1))] | (B is the matrix of basis cell vectors, ek are the unit vectors)
The matrix is padded with invisible atoms, which means that the matrix is padded with zeros until the maximum allowed size defined by n_max_atoms is reached.
- For reference, see:
- “Crystal Structure Representations for Machine Learning Models of Formation Energies”, Felix Faber, Alexander Lindmaa, Anatole von Lilienfeld, and Rickard Armiento, International Journal of Quantum Chemistry, (2015), https://doi.org/10.1002/qua.24917
describe.descriptors.soap module¶
-
class
describe.descriptors.soap.
SOAP
(atomic_numbers, rcut, nmax, lmax, periodic, envPos=None, crossover=True, all_atomtypes=[])[source]¶ Bases:
describe.descriptors.descriptor.Descriptor
-
describe
(system)[source]¶ Return the SOAP spectrum for the given system.
Parameters: system (System) – The system for which the descriptor is created. Returns: The SOAP spectrum for the given system. Return type: np.ndarray
-


TABLE OF INTERACTIONS WITH
INSULIN
See also: insulin
From the French ANSM drug interactions document of September 2016, p. 132
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
ALCOHOL (DRINK OR INGREDIENT) |
Increase of the hypoglycemic reaction (inhibition of the compensation reactions which can facilitate the onset of hypoglycemic coma) |
Not recommended Avoid taking alcoholic beverages and medications containing alcohol. |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
SOMATOSTATIN ANALOGS CLASS CODE: H01CB0-001 |
Risk of hypoglycemia or hyperglycemia: decrease or increase of the needs for insulin, due to decrease or increase of the secretion of endogenous glucagon |
Precaution for use Inform the patient of the risk of hypoglycemia or hyperglycemia, strengthen self-monitoring of blood glucose, and adjust the dosage of the insulin if needed during the treatment with the somatostatin analog. |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
BETA-2 MIMETICS or BETA2 ADRENERGIC AGONISTS CLASS CODE: R03C-001 |
Elevation of the glycemia by the beta-2 mimetic |
Precaution for use Strengthen blood and urine monitoring |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
BETA BLOCKING AGENTS (EXCEPT ESMOLOL) CLASS CODE: C07AB-002 |
All the beta-blocking agents can mask certain symptoms of hypoglycemia: palpitations and tachycardia |
Precaution for use Inform the patient and, especially at the start of treatment, strengthen self-monitoring of blood glucose. |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
BETA-BLOCKING AGENTS IN HEART FAILURE CLASS CODE: C07AB-003 |
All the beta-blocking agents can mask certain symptoms of hypoglycemia: palpitations and tachycardia |
Precaution for use Inform the patient and, especially at the start of treatment, strengthen self-monitoring of blood glucose |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
CHLORPROMAZINE RxNorm: 2403 ATC: N05AA01 |
With large dosages (100 mg per day of chlorpromazine): elevation of the glycemia (decrease of the freeing of the insulin) |
Precaution for use Inform the patient and strengthen self-monitoring of blood glucose. Possibly adjust the dosage of the insulin during the treatment with the neuroleptic and after it is stopped. |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
DANAZOL RxNorm: 3102 ATC: G03XA01 |
Diabetes inducing effect of the danazol |
Not recommended If administering these substances together cannot be avoided, inform the patient and strengthen self-monitoring of blood glucose. Possibly adjust the dosage of the insulin during the treatment with the danazol and after it is stopped. |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
The use of an ACE inhibitor can lead to an increase of the hypoglycemic effect in a diabetic treated with insulin. The onset of hypoglycemic difficulties seems exceptional (improvement of the tolerance for glucose that would have the result of a reduction of the need for insulin). |
Precaution for use Strengthen self-monitoring of blood glucose |


This package contains classes and interfaces for the implementation of form controllers.
Dealing with a form is typically a tedious task. When the GUI is setup, a lot of tasks have to be performed for correctly handling user input: the input fields of the form have to be filled with their initial values, user input has to be validated, fields containing invalid data have to be marked somehow, committing the form is only allowed if all entered data is valid, and so on.
This package defines a form controller base class that addresses these problems. In collaboration with a bunch of helper classes, a form controller is able to manage the whole life cycle of a form:
FormValidationTrigger
determines when a validation has to be performed. This could for instance be any
time the user leaves an input field. Of course, if the user hits the OK button
to close the form, a validation will always be initiated.FieldMarker
is responsible for changing the display properties
of an input field depending on its current validation status. A concrete
implementation could for instance paint the background of input fields containing
invalid data in a different color.
The main FormController
class is the central point for implementing
this functionality. In most cases, it should be possible to use this class out
of the box. Application-specific logic can be injected by specifying configuration
objects when the controller is created. Adaptations to the specific look and
feel of a concrete application can be achieved by providing different
implementations of the helper objects involved.
$Id: package.html 205 2012-01-29 18:29:57Z oheger $


Shopping
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Hello, my name is Shelby Harner! I am a Seattle area native and can't imagine living anywhere else. The Pacific Northwest is always beautiful, but the summers are really what keep me here. I love to travel, but currently that has been put on hold, so I have been diving back into my love of crafts. During quarantine, I have been knitting, cross stitching, sewing masks and recently figured out how to make mask chains. What I am most proud of from my time at home is my new found green thumb with several house plants.
Education
- CodeFellows - Code 201 (in process)
- CodeFellows - Code 102 (December 2020)
- CodeFellows - Code 101 (November 2020)
- University of Washington - Project Mgmt Cert (Graduated May 2018)
- Central Washington University - BA in Communications (Graduated June 2008)
Work History
- Amazon - Executive Assistant (March 2015 to present)
- Microsoft - Business Administrator (Feb 2012 to Feb 2015
- The Coca-Cola Company - Administrative Assistant (March 2011 to Jan 2012
- Microsoft - Group Administrator (Feb 2010 to Feb 2011)
My Goals currently are to successfully graduate from Code 201 and carry on through Code 301 and 401 to full Code Fellows graduation. I would also like to work on my confidence in learning this new skill set to make a role change in my daily career life.
Shelby's Top 10 Sweets
- Chocolate bar
- Cheesecake
- Chocolate mousse
- Sour watermelon gummy bears
- Sourpatch kids
- Peanut M&Ms
- Hot tamales
- Dark chocolate almond butter cups
- Creme brulee
- Gelato


ShortStacked is a casual couch co-op game where you play as two comic-book children, getting into comic-worthy shenanigans!
Grab a friend and a couple Xbox controllers to don a trenchcoat and finally get some "adulting" done!
click it to meet the team!
couldn't have done it without the support ♡ check them out!
Director, Lead Artist (2D/3D)
Lead Engineer
Lead UX Researcher, Engineer
Lead Designer
Lead Producer
Engineer, Marketer
Engineer, Artist (3D)
Engineer
Art Director
Composer
Sound Designer
Artist (3D)


For Developers
Content Automation
We made a lot of progress on the Content Automation API.
It's possible to contribute a chain into another chain -> Composite Automation Chain
It's possible to add parameters to a chain
Chains contributed are displayed into the Automation documentation with operations listing, parameters and input/output.
An Automation Client Test Suite in Java (or Java Test Compatibility Kit -> TCK) is provided for helping people understanding how Automation is working remotely. You can read our documentation for the details.
Managing business objects (Plain Old Java Object client side for mapping Nuxeo Document Model Adapter server side) is now available.
The goal is to manipulate business object and avoid direct DocumentModel manipulation on client side:
Document Oriented REST API
We have a new document oriented API for CRUD operation.
Create
Read
Update
Delete
Domain model object and Automation
You can use Business objects with Automation. They are also binded on the REST API and you just have to use the same semantics than for document resources.
Updating a business object
Richfaces
Nuxeo uses a custom version of Richfaces based on 3.3.1 GA, This custom version of Richfaces is now available on GitHub with all Nuxeo's patches.
CMIS
We've upgraded OpenCMIS to 0.9.0 . This gives us the new CMIS 1.1 browser bindings but we haven't finished implementing all the new features yet.
Content Views
On Nuxeo side, filter can be shown unfolded by default, and some content view templates have been redefined to ease the customization.
On Studio side, the "filter unfolded" option is presented for 5.7.2, and events as well as the page provider class and properties can now be configured also.
CORS support
If you do cross-domain requests from any JavaScript client to access WebEngine resources or Automation APIs, there's a chance that your browser forbids it. CORS allows you to communicate with Nuxeo from another domain using XMLHttpRequests.
We've added a new extension point based on Vladimir Dzhuvinov's universal CORS filter, which allows you to configure on which URL cross-origin headers are needed.
Scan Importer
The scan importer has been improved. You can choose if you want to create the import document container each time you launch an import. You can also choose to update an existing document instead of creating a new one.
New Operation
Get a Directory Projection
Category: Services
Operation Id: Directory.Projection
Executes a query using given filter and return only the column *columnName*. The result is assigned to the context variable *variableName*. The filters are specified as key=value pairs separated by a new line. The key used for a filter is the column name of the directory. To specify multi-line values you can use a \\ character followed by a new line.
Example:
By default, the search filters use exact match. You can do a fulltext search on some specific columns using the fulltextFields. it's specified as comma separated columnName, for instance:
Example:
Run For Each in new TX
Category: Execution Flow
Operation Id: Context.RunOperationOnListInNewTx
Run an operation in a new Transaction for each element from the list defined by the 'list' paramter. The 'list' parameter is pointing to context variable that represent the list which will be iterated. The 'item' parameter represent the name of the context varible which will point to the current element in the list at each iteration. You can use the 'isolate' parameter to specify whether or not the evalution context is the same as the parent context or a copy of it. If the isolate is 'true' then a copy of the current contetx is used and so that modifications in this context will not affect the parent context. Any input is accepted. The input is returned back as output when operation terminate.
Login Page
The login page can now be configured via an extension point, making it easier to upgrade when the login page is customized, and benefit from new features, like OpenID authentication provided by Nelson Silva.
Here is a sample configuration for the login page:
Long Running Listener
You can now extend a new abstract class called AbstractLongRunningListener. Its purpose is to help building an Asynchronous listeners that will handle a long running process.
By default, PostCommitEventListener is executed in a Worker that will take care of starting/comitting the transaction.
If the listener requires a long processing, this will create long transactions which should be avoided. To avoid this behavior, this base class split the processing in 3 steps:
- Pre processing: transactional first step
- Long running: long running processing that should not require transactional resources
- Post processing: transactional final step
To manage sharing between the 3 steps, a simple Map is provided.
Move To Tomcat 7
Tomcat has been upgraded to version 7.0.42. The main improvement is the upgrade to the Servlet 3.0 API. Take a look at the details.


HTML Input
Input Type Text
First name:
Last name:
Input Type Button
Input Type Password
User name:
User password:
Input Type Checkbox
I have a bike
I have a car
I have a boat
Input Type Radio
Male
Female
Web Technologies
Software Project Management
Input Type File
Input Type Hidden
First name:
Input Type Date
Enter a date before 2017-09-01:
Enter a date after 2017-09-01:
Input Type Datetime-local
Birthday (date and time):
Input Type Number
Quantity (between 1 and 10, setp 2):


Welcome
Cart
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Edit Product
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MacPro
$1,200
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New model Macbook pro
The amount of the product will be show at here
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What to do
- Record a short one-on-one introduction interview using Zoom. Aim for 15-30 min max.
- Upload the interview to Canvas for viewing as part of structured self-study:
- Provide a Discussion Board for students to add comments and ask questions after viewing. Next, invite students to upvote their favorite questions and comments.
- Schedule a live Zoom session in Canvas for an interactive Q&A session of 90 min max, relying on the content from the Discussion Board.
- Introduce your guest and hand over the lecture (5 min.). Reserve a maximum of 45-min presentation time and a minimum of 30 min for questions and answers (more is better). Split the session into three blocks of 30-20-30 min with 10-min breaks in-between.
- To interact with the students you can use Zoom chat and Zoom polls for questions, as well as the content from the Discussion Board..
- As a co-host you, or a teaching assistant, can moderate the questions during presentation time and/or take the lead in the Q&A part, by interviewing your guest with the questions asked in the chat.
Tools to use
ZOOM -
Online communication tool to record your interview.
CANVAS discussion board -
Online forum tool to facilitate discussions.
Feedback Fruits -
Online presentation tool with interactive quizzes.
Why do this
Interaction through an online plenary Zoom session is often more difficult to achieve. Students tend to fall back into ‘watching tv mode’ (passive processing). By raising and upvoting questions prior to the interactive session, your students are more engaged and in ‘learning mode’ (active processing). You can augment this with Zoom polls to provide your guest with the opportunity to get to know the audience and interact with them in a fast and efficient way. Zoom polls also keep your students in an active learning mode and foster engagement too, and provide a more lively experience overall.
Show everything
Tips
- Add a cliff-hanger to the pre-recorded one-on-one interview. For example, if your guest has a real life example, don’t tell the end of the story yet until the live session. Use the Canvas Discussion Board to ask students what they would do next, before your guest continues the story.
- Add a short quiz to the introduction video with Feedback Fruits. For example, to assess students’ understanding of the subject matter, to have your guest raise a question, or to have students think about what they would do in a real life example. This way you activate your students while they watch the interview and foster information processing. Plus, you and your guest get feedback on what students (mis)understand.


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 package ti.uia.runtime;
37 import xdc.runtime.Types;
38 import ti.uia.runtime.LoggerTypes;
39 import xdc.runtime.ILogger;
40 import ti.uia.runtime.CtxFilter;
41 import xdc.runtime.ILogger;
42 import xdc.runtime.Diags;
43 import xdc.runtime.Text;
44 import ti.uia.events.UIASnapshot;
45 import ti.uia.runtime.IUIATraceSyncClient;
46
47 /*!
48 * ======== LogSnapshot ========
49 * Snapshot Event logging manager for logging blocks of memory, strings in memory
50 * and names of dynamically created objects
51 *
52 * {@link ti.uia.events.UIASnapshot Snapshot events} are used to log dynamic
53 * target state information in order to
54 * capture the execution context of the application at a particular moment in
55 * time. Types of information that can be logged include:
56 * @p(blist)
57 * - Blocks of memory (using the {@link #writeMemoryBlock LogSnapshot_writeMemoryBlock} API)
58 * - Strings that reside in memory (using the {@link #writeString LogSnapshot_writeString} API)
59 * - Names of dynamically created objects (using the {@link #writeNameOfReference LogSnapshot_writeNameOfReference} API)
60 * @p
61 * The host-side tooling can be instructed to treat a series of LogSnapshot
62 * events as representing the state of the target at the same moment in time by
63 * using the same non-zero value in the {@link #getSnapshotId snapshot ID} parameter
64 * of each of the LogSnapshot events in the series.
65 *
66 * Snapshot events are logged by a logger that implements the
67 * {@link ti.uia.runtime.ILoggerSnapshot ILoggerSnapshot}
68 * interface (e.g. {@link ti.uia.loggers.LoggerStopMode LoggerStopMode},
69 * {@link ti.uia.loggers.LoggerRunMode LoggerRunMode}).
70 * Rather than invoking the logger's APIs directly, the APIs are
71 * called indirectly via the LogSnapshot module's APIs so that different types
72 * of loggers can be used without having to recompile the source code that is
73 * logging the snapshot events.
74 * @a(Examples)
75 * @p(html)
76 * Example 1: A simple 2-line configuration script
77 * @p
78 * The following configuration script shows the simplest way
79 * to configure an application to use log snapshot events:
80 * @p(code)
81 * var LoggingSetup = xdc.useModule('ti.uia.sysbios.LoggingSetup');
82 * var LogSnapshot = xdc.useModule('ti.uia.runtime.LogSnapshot');
83 * @p
84 * The first line causes the {@link ti.uia.sysbios.LoggingSetup LoggingSetup}
85 * module's .xs script to automatically create a 32K Byte logger and assign it to
86 * xdc.runtime.Main.common$.logger. It also sets any unconfigured Diags masks
87 * for the Main module to Diags.RUNTIME_ON, enabling the events to be logged.
88 * @p
89 * The second line causes the LogSnapshot .xs script to run during the configuration
90 * process when building the application. The script detects that a logger has
91 * not been assigned to the LogSnapshot module, so it checks if
92 * a logger has been configured for either the Main module or the Defaults module.
93 * Since there is a logger for the Main module, the script configures the LogSnapshot
94 * module to log events to the same logger instance.
95 *
96 * @p(html)
97 *

98 * Example 3: Using Diags masks to control snapshot events
99 * @p
100 * The generation of a 'Snapshot' event is controlled by a module's diagnostics
101 * mask, which is described in details in the CDoc for xdc.runtime.Diags. Each
102 * {@link ti.uia.events.UIASnapshot snapshot event} is controlled using the
103 * Diags.ANALYSIS mask, and will only be logged when the diagnostics mask for
104 * the module that is logging the code has the Diags.ANALYSIS bit
105 * configured as either ALWAYS_ON or RUNTIME_ON.
106 * @p
107 * The `LogSnapshot` function call sites are implemented in such a way that an
108 * optimizer can completely eliminate `LogSnapshot` code from the program if
109 * the module's `ANALYSIS` events have been disabled at configuration time. If
110 * the 'ANALYSIS' events are permanently turned on at configuration time,
111 * then the optimizer can eliminate all runtime conditional checking and
112 * simply invoke the 'LogSnapshot' functions directly. Runtime checking is
113 * performed only when the ANALYSIS events are configured to be runtime
114 * modifiable.
115 * @p
116 * The following is an example of the configuration script used
117 * to configure the default mask for modules to have Analysis events such as
118 * the UIASnapshot events always on.
119 * @p(code)
120 * // Configure all modules to always log Analysis events
121 * var Diags = xdc.useModule('xdc.runtime.Diags');
122 * var Defaults = xdc.useModule('xdc.runtime.Defaults');
123 * Defaults.common$.diags_ANALYSIS = Diags.ALWAYS_ON;
124 * @p
125 *
126 */
127
128 @CustomHeader
129 module LogSnapshot inherits IUIATraceSyncClient {
130
131 /*!
132 * ======== EventRec ========
133 * The target representation of a recorded event
134 *
135 * This structure defines how events are recorded on the target.
136 */
137 struct EventRec {
138 Types.Timestamp64 tstamp; /*! time event was written */
139 Bits32 serial; /*! serial number of event */
140 Types.Event evt; /*! target encoding of an Event */
141 UArg snapshotId;
142 IArg fmt;
143 Ptr pData;
144 UInt16 lengthInMAUs; /*! arguments passed via Log_write/print */
145 }
146 /*!
147 * ======== maxLengthInMAUs ========
148 * Maximum number of MAUs (miniumum addressable units, e.g. bytes)
149 * supported by `LogSnapshot` events.
150 *
151 * Attempting to write more than the maximum length results in the
152 * multiple events being logged. The maxLengthInMAUs must be
153 * lower than the size of the buffer that the events are being logged to.
154 * Must be less than 1400 in order to support streaming of event
155 * data over UDP.
156 */
157 config Int maxLengthInMAUs = 512;
158
159 /*!
160 * ======== isTimestampEnabled ========
161 * used to enable or disable logging the 64b local CPU timestamp
162 * at the start of each event
163 */
164 config Bool isTimestampEnabled = true;
165
166 /*! @_nodoc
167 * ======== loggerDefined ========
168 * set to true in the configuration script when a logger that implements
169 * ILoggerSnapshot is attached
170 */
171 config Bool loggerDefined = false;
172 /*!
173 * ======== loggerObj ========
174 * handle of the logger that is to be used to log snapshot events
175 */
176 config Ptr loggerObj = null;
177
178 /*! @_nodoc */
179 config ti.uia.runtime.LoggerTypes.LogMemoryRangeFxn loggerMemoryRangeFxn = null;
180
181
182 /*!
183 * ======== putMemoryRange ========
184 * Unconditionally put the specified `Types` event.
185 * Supports both writeMemoryRange and writeString.
186 *
187 * This method unconditionally puts the specified memoryRange`{@link Types#Event}`
188 * `evt` into the log. This type of event is created either implicitly
189 * (and passed to an `{@link ISnapshotLogger}` implementation) or explicitly
190 * via `{@link Types#makeEvent()}`.
191 *
192 * @param(evt) the `Types` event to put into the log
193 * @param(mid) the module ID of the caller
194 * @param(snapshotId) unique ID that binds together a series of events used to
195 * log a large memory range. Upper 16b hold the ID Tag (0 for UIA)
196 * @param(fileName) the name of the file that the event was logged from
197 * @param(lineNum) the line number that the event was logged from
198 * @param(fmt) a user-specified print format string
199 * @param(startAdrs) the start address of the memory range to log
200 * @param(lengthInMAUs) the number of minimum addressable units (e.g. bytes) to log
201 * @a(return) value to use as snapshotId parameter for subsequent events
202 */
203 @Macro Void putMemoryRange(Types.Event evt, Types.ModuleId mid,
204 IArg fileName, IArg lineNum, UArg snapshotID, IArg fmt, IArg startAdrs,
205 IArg lengthInMAUs);
206
207 /*!
208 * ======== writeMemoryBlockWithIdTag ========
209 * Generate a `LogSnapshot` event for a block of memory
210 *
211 * @a(Examples)
212 * Example: The following C code shows how to log a snapshot event to
213 * capture a block of memory.
214 *
215 * @p(code)
216 * #include <ti/uia/runtime/LogSnapshot.h>
217 * ...
218 * UInt32* pIntArray = (UInt32 *)malloc(sizeof(UInt32) * 200);
219 * ...
220 * UInt16 myCustomIdTag = 1;
221 * LogSnapshot_writeMemoryBlockWithIdTag(myCustomIdTag,0,"pIntArray ptr=0x%x, numBytes=%d",(UInt32)pIntArray,200);
222 * ...
223 * @p
224 * The following text will be displayed for the event, if it was logged
225 * from file demo.c at line 1234 and all 200 bytes were logged in the
226 * same event.
227 * @p(code)
228 * Memory Snapshot at [demo.c:1234] [snapshotID=0,adrs=0x80002000,
229 * numMAUsDataInEvent=200,numMAUsDataInRecord=200] ptr=0x80002000, numBytes=200
230 * @p
231 * If the 200 bytes were spread across multiple events,
232 * the numMAUsDataInRecord would indicate how many bytes were in the
233 * memory block, and numMAUsDataInEvent would indicate how many bytes
234 * were stored in that particular event.
235 * @p
236 * @param(idTag) ID used to identify who logged the event. Set to 0 for a
237 * standard UIA event. Can be used to filter snapshot events on host.
238 * @param(snapshotID) ID used to identify snapshot events taken at the same
239 * time. Set to 0 for first in series, set rest to return
240 * value of LogSnapshot API. {@link #getSnapshotId see getSnapshotId()}
241 * @param(fmt) a constant string that provides a user-readable description
242 * of what information the event is capturing
243 * @param(pMemoryRange) the start address of the range of memory
244 * @param(lengthInMAUs) the number of MAUs of data payload for the
245 * multi-event data record
246 */
247 @Macro Void writeMemoryBlockWithIdTag(UInt16 idTag, UInt32 snapshotID, IArg fmt, Ptr pMemoryRange,
248 UInt16 lengthInMAUs);
249
250 /*!
251 * ======== writeMemoryBlock ========
252 * Generate a `LogSnapshot` event for a block of memory
253 *
254 * @a(Examples)
255 * Example: The following C code shows how to log a snapshot event to
256 * capture a block of memory.
257 *
258 * @p(code)
259 * #include <ti/uia/runtime/LogSnapshot.h>
260 * ...
261 * UInt32* pIntArray = (UInt32 *)malloc(sizeof(UInt32) * 200);
262 * ...
263 * LogSnapshot_writeMemoryBlock(0,"pIntArray ptr=0x%x, numBytes=%d",(UInt32)pIntArray,200);
264 * ...
265 * @p
266 * The following text will be displayed for the event, if it was logged
267 * from file demo.c at line 1234 and all 200 bytes were logged in the
268 * same event.
269 * @p(code)
270 * Memory Snapshot at [demo.c:1234] [snapshotID=0,adrs=0x80002000,
271 * numMAUsDataInEvent=200,numMAUsDataInRecord=200] ptr=0x80002000, numBytes=200
272 * @p
273 * If the 200 bytes were spread across multiple events,
274 * the numMAUsDataInRecord would indicate how many bytes were in the
275 * memory block, and numMAUsDataInEvent would indicate how many bytes
276 * were stored in that particular event.
277 * @p
278 * @param(snapshotID) ID used to identify snapshot events taken at the same
279 * time. Set to 0 for first in series, set rest to return
280 * value of LogSnapshot API. {@link #getSnapshotId see getSnapshotId()}
281 * @param(fmt) a constant string that provides a user-readable description
282 * of what information the event is capturing
283 * @param(pMemoryRange) the start address of the range of memory
284 * @param(lengthInMAUs) the number of MAUs of data payload for the
285 * multi-event data record
286 */
287 @Macro Void writeMemoryBlock(UInt32 snapshotID, IArg fmt, Ptr pMemoryRange,
288 UInt16 lengthInMAUs);
289
290 /*!
291 * ======== writeStringWithIdTag ========
292 * Generate a `LogSnapshot` event for a string in memory
293 *
294 * @a(Example)
295 * The following C code shows how to log a snapshot event to log the
296 * contents of a string in memory.
297 *
298 * @p(code)
299 * #include <ti/uia/runtime/LogSnapshot.h>
300 * ...
301 * Void myFunc(String name){
302 * ...
303 * UInt16 myCustomIdTag = 1;
304 * LogSnapshot_writeStringWithIdTag(myCustomIdTag,0,"User-defined name=%s.",name, strlen(name));
305 * }
306 * @p
307 * The following text will be displayed for the event, if it was logged
308 * from file demo.c at line 1234 and all bytes in the 40 character string
309 * was logged in the same event.
310 * @p(code)
311 * String Snapshot at [../demo.c:1234] [snapshotID=0,adrs=0x80001234,40,40] User-defined name=ValueOfParm.
312 * @p
313 * @param(idTag) ID used to identify who logged the event. Set to 0 for a
314 * standard UIA event. Can be used to filter snapshot events on host.
315 * @param(snapshotID) ID used to identify snapshot events taken at the same
316 * time. Set to 0 for first in series, set rest to return
317 * value of LogSnapshot API. {@link #getSnapshotId see getSnapshotId()}
318 * @param(fmt) a constant string that provides a user-readable description
319 * of what information the event is capturing
320 * @param(pString) the start address of the string in memory
321 * @param(lengthInMAUs) the number of MAUs to log (e.g. strlen(pString))
322 */
323 @Macro Void writeStringWithIdTag(UInt16 idTag, UInt32 snapshotID, IArg fmt, Ptr pString,
324 UInt16 lengthInMAUs);
325
326 /*!
327 * ======== writeString ========
328 * Generate a `LogSnapshot` event for a string in memory
329 *
330 * @a(Example)
331 * The following C code shows how to log a snapshot event to log the
332 * contents of a string in memory.
333 *
334 * @p(code)
335 * #include <ti/uia/runtime/LogSnapshot.h>
336 * ...
337 * Void myFunc(String name){
338 * ...
339 * LogSnapshot_writeString(0,"User-defined name=%s.",name, strlen(name));
340 * }
341 * @p
342 * The following text will be displayed for the event, if it was logged
343 * from file demo.c at line 1234 and all bytes in the 40 character string
344 * was logged in the same event.
345 * @p(code)
346 * String Snapshot at [../demo.c:1234] [snapshotID=0,adrs=0x80001234,40,40] User-defined name=ValueOfParm.
347 * @p
348 * @param(snapshotID) ID used to identify snapshot events taken at the same
349 * time. Set to 0 for first in series, set rest to return
350 * value of LogSnapshot API. {@link #getSnapshotId see getSnapshotId()}
351 * @param(fmt) a constant string that provides a user-readable description
352 * of what information the event is capturing
353 * @param(pString) the start address of the string in memory
354 * @param(lengthInMAUs) the number of MAUs to log (e.g. strlen(pString))
355 */
356 @Macro Void writeString(UArg snapshotID, IArg fmt, Ptr pString,
357 UInt16 lengthInMAUs);
358
359 /*!
360 * ======== nameOfReference ========
361 * Used to log the contents of a dynamic string on the heap so that host-side
362 * tooling can display this string as the name of handle / reference ID
363 *
364 * @a(Example)
365 * The following C code shows how to log a task name for use by task
366 * execution graphs etc.
367 *
368 * @p(code)
369 * #include <ti/uia/runtime/LogSnapshot.h>
370 * #include <ti/sysbios/BIOS.h>
371 * #include <ti/sysbios/knl/Task.h>
372 * ...
373 * // Task create hook function that logs the task name.
374 * // Notes: Task name is not trequired when creating a BIOS task. Please \
375 * // make sure a name is provided in order for the host side analysis tool
376 * // to work properly.
377 * Void tskCreateHook(Task_Handle hTask, Error_Block *eb) {
378 * String name;
379 * name = Task_Handle_name(hTask);
380 * LogSnapshot_writeNameOfReference(hTask,"Task_create: name=%s",
381 * name,strlen(name)+1);
382 * }
383 * @p
384 * This event prints the Log call site (%$F) and a format string (%$S)
385 * which describes what information the event is logging.
386 * The following text will be displayed for the event:
387 * @p(code)
388 * nameOfReference at [demo.c:line 1234] [refID=0x80002000,adrs=0x80001234,40,40] Task_create: name=10msThread.
389 * @param(refID) reference ID (e.g. task handle) that the name is
390 * associated with
391 * @param(pString) the start address of the string on the heap
392 * @param(lengthInMAUs) the number of MAUs to log (e.g. strlen(pString))
393 * @param(fmt) a constant string that provides format specifiers
394 * describing the string
395 */
396 @Macro Void writeNameOfReference(UArg refID, IArg fmt, Ptr pString,
397 UInt16 lengthInMAUs);
398
399 /*!
400 * ======== getSnapshotId ========
401 * returns a unique ID to use to group a set of snapshot event logs together
402 *
403 * Allows tooling to treat a set of consecutive event logs as a unit and
404 * display all of the relevent data together as a set
405 * @a(Example)
406 * The following C code shows how to log two snapshot events that capture
407 * the target state of two different data structures, using a common unique
408 * non-zero snapshot ID provided by the getSnapshotId to inform the host-side
409 * tooling that the events represent the target state at the same point in time
410 * @p(code)
411 * #include <ti/uia/runtime/LogSnapshot.h>
412 * ...
413 * MyStruct1 myStruct1;
414 * MyStruct2 myStruct2;
415 * UInt32 snapshotId;
416 * ...
417 * snapshotId = LogSnapshot_getSnapshotId();
418 * LogSnapshot_writeMemoryBlock(snapshotId,"myStruct1 ptr=0x%x, numBytes=%d",(UInt32)&myStruct1,sizeof(MyStruct1));
419 * LogSnapshot_writeMemoryBlock(snapshotId,"myStruct2 ptr=0x%x, numBytes=%d",(UInt32)&myStruct2,sizeof(MyStruct2));
420 * ...
421 * @p
422 * @a(return) a unique non-zero snapshot ID to pass in as a parameter to the
423 * LogSnapshot APIs
424 */
425 @DirectCall
426 UArg getSnapshotId();
427
428 /*!
429 * ======== doPrint ========
430 * Render an event as text via `{@link System#printf System_printf}`
431 *
432 * This method is not currently implemented.
433 *
434 * @param(evRec) a non`NULL` pointer to an initialized `
435 * LogSnapshot_EventRec`structure to be formated via
436 * {@link System#printf System_printf}`.
437 */
438 Void doPrint(EventRec *er);
439
440 441 442 443
444 metaonly config String idToInfo[string] = [];
445
446 }


APAC ECONOMY
Is Japan's economy forcing a generational downturn?
Japan's twenty-somethings speak about growing up with deflation and their outlook for the financial future
APAC ECONOMY
Visit the FT hub for more curated videos, stories and analysis on the APAC economy.
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PROFILE ¶
Ever since I was a little girl, I was always captivated by nature and natural systems’ complexity. A crazy journey to Disney and a letter to Yellowstone NP set me on my geological journey almost a decade ago. A journey I’m still exploring in my graduate education.
During my undergraduate years, I focused primarily on geochemistry, mineralogy, and the deposition of minerals. My senior thesis was done in the Farallón Negro Volcanic Complex in Catamarca, Argentina. Together with my directors, we aimed to create a geologic, geochemical, and structural profile of Los Viscos Vein, one of the prospective areas of interest in the intermediate-sulphidation epithermal system surrounding Miocene’s caldera.
Now, as part of the Physic Ice Lab, at the University of Pennsylvania, I switched my interest to rock mechanics and rheology. I am currently performing research in ice mechanics and its deformation mechanisms, in particular steady-state creep.
Download: Short CV
Long CV
Writing Sample
Personal Statement
CONTACT INFORMATION ¶
-
Institution: Earth & Environmental Sciences Department, University of Pennsylvania, Hayden Hall, 240 S. 33d St., Philadelphia, PA 19104
-
Email<EMAIL_ADDRESS>-
Social Media:
EES
Research Gate
LinkedIn
Google Scholar
EDUCATION ¶
Ph.D. Environmental and Earth Science ¶
University of Pennsylvania, USA (2020 - ).
- Benjamin Franklin Fellowship
- G.P.A In Progress
- Interests: Rheology, Ice Mechanics, Creep and Deformation mechanisms, Planetary Sciences.
- Advisor: David L. Goldsby
- Elective Subjects: Ordinary Differential Equations, Introduction to Material Sciences, Experimental Glaciology (999), Experimental Methods in Geophysics (999), Research Paper Writing, Mechanical Properties of Materials, Attenuation in Ice, with Applications to Terrestrial Sea Ice, Glaciers and Icy Extraplanetary Bodies (999)
B.S Geology and Earth Science ¶
Universidad de Buenos Aires, Argentina (2013 - 2020)
- G.P.A 9.0 (~ 3.7)
- Elective Subjects: Oil Geology, Mine Geology, Structural Control of Economic Deposits, Isotopes Geology, Applied Geology, Petrophysics, Calcography.
- Senior Thesis: Geologic, Geochemical and Structural Characterization of the Los Viscos Vein in the Farallón Negro Volcanic Complex, Catamarca, Argentina.
- Advisor: Dra. Diana Irene Mutti and Dra. Carolina Carmen Mendez. Ore Deposits and Economical Geology Department, UBA
SKILLS ¶
Languages: ¶
- English - Fluent. TOEFL - 112 (2019). IGCSE – Pass with Merits (First Language English, 2008). A & AS Level - Pass with Merit (First Language English, 2010)
- Spanish - Native
Programming: ¶
- Geology Program: ArcGIS, QGis, Surfer, Google Earth, 2DMove, Opendtect, Global Mapper
- Graphic Design: Inkscape, Photoshop.
- Other Programming Languages: Hugo, HTML, and CSS.
Laboratory and Field Skills: ¶
- Calcography and Light Microscope: Mineral recognition, thin sample preparation
- Geologic mapping
- Structural Analysis
- Geochemical Analysis
RESEARCH EXPERIENCE ¶
University of Pennsylvania - Department of Earth & Environmental Science ¶
2020 – • David L. Goldsby
Project: “”
University of Buenos Aires - Ore Deposits Department ¶
2020 – 2019 • Dra. Diana Irene Mutti and Dra. Carolina Carmen Mendez
Investigation Project UBACyT 2018-2020<PHONE_NUMBER>0623BA: ‘Metalogenesis of Argentina’s center-west: temporal evolution and local and regional structural analyzes’
PUBLICATIONS ¶
- Ninni, M.M., and Mendez C.C. (2020). Hydrothermal Quartz Textural Analysis of Los Viscos Vein in the Farallón Negro Volcanic Complex, Catamarca, Argentina. XII Congreso Argentino de Geologia Económica.
pdf
RG
- Ninni M.M. (2020). Geologic, Geochemical and Structural Characterization of the Los Viscos Vein in the Farallón Negro Volcanic Complex, Catamarca, Argentina. - Undergraduate Senior Thesis - Thesis directors: Dra. Diana Irene Mutti and Dra. Carolina Carmen Mendez. Ore Deposits and Economical Geology Department, UBA.
pdf
RG
TEACHING EXPERIENCE AND OTHER COURSES ¶
GEOL130 - Introduction to Oceanography, University of Pennsylvania ¶
Spring 21 • Jane Dmochowski
Office Hours, grader
TA Courses ¶
- Grading in the Sciences • Fall 2020
- Leading Discussion in the Sciences • Fall 2020
- Inclusive Teaching • Fall 2020
- Science Scenarios • Fall 2020
- Incorporating Active Learning into STEM Course • Fall 2020
- Writing Challenging and Exciting Assignments in STEM Fields • Spring 2021
- SAIL (Structured, Active, In-Class Learning) Course • Spring 2021
EXTRACURRICULAR ACTIVITIES AND OTHER AFFILIATIONS ¶
- Graduate Women in Science (GWIS), Philadelphia Chapter • joined 2020
- Geological Society of America (GSA) • joined 2021
- American Geophysical Union (AGU) • joined 2021
- European Geosciences Union (EGU) • joined 2021
- Unlearning Racism in the Geosciences (URGE) UPenn Pod • 2021
- Graduate Women in Science Fellowship Reviewer • 2021
- SAS Gov, EES Representative - University of Pennsylvania • 2020
- GAPSA - University of Pennsylvania • 2020
- EES-UAB Logo Competition, Winner • 2020
- Earth Science Week, Ore Deposits Stand • UBA, 2019
- Earth Science Week, Structural Geology Stand • UBA, 2017
- Mindfulness-Based Stress Reduction Program, 8 week program • 2018
- Seven-day Silent Retreat, Won Dharma Center in Claverack. Instructors Chas DiCapua and Éowyn Ahlstrom • 2018


Due to ongoing growth, this fun & energetic International corporate based on the outskirts of Oxford, is seeking a UX/UI Designer to join an innovative team, focused on delivering exciting User Experiences and great functionality, across both Web & Mobile platforms.
Pricing and Location


Buttons can be styled with different colors and sizes to indicate importance and draw attention.
Buttons can also adjust themselves to use up different amounts of the page width, depending on the device. This can make them easier to tap on touch screens.


What I want to be doing in X years
April 23, 2020
Ahhh the age old question. The deviations of this, Where do you see yourself in x years also attempts to pry an answer akin to what this question does. It has always been weird to me. So for once and for all, I decided to write about my answer to this.
At this given time, the heuristics that I use to decide what I want to work on revolves around three main factors: curiosity/enjoyment, people I am working with, and positive impact on the world. After experimentation with work here and there, I have found that when all the above three factors are quite readily met, I’m at my happiest and produce my best work. However, if any one of the factors is problematic, that is when I grow restless or become less engaged in the world. Now, all three of the things above are very big themes/topics and leave much for interpretation. To break them down a little more to get more granularity regarding my belief:
At this given time, the heuristics that I use to decide what I want to work on revolves around three main factors: curiosity/enjoyment, people I am working with, and positive impact on the world. After experimentation with work here and there, I have found that when all the above three factors are quite readily met, I’m at my happiest and produce my best work. However, if any one of the factors is problematic, that is when I grow restless or become less engaged in the world. Now, all three of the things above are very big themes/topics and leave much for interpretation. To break them down a little more to get more granularity regarding my belief:
Enjoyment/Curiosity: Ever since I was a kid, I have been a very curious person. I remember when I was 10 or 11, I got fascinated by these little booklets that explored a single country and would attempt to give an overview of the world. To me, there was nothing else I would do in the world and my time than devour these short books. Once I grew a little older, I developed a similar obsession for mathematics and got obsessed with learning as much about the subject as possible. Nowadays, that obsession is mostly focused on software and learning as much about topics I am obsessed with as possible. I find that when I am in this state, I view knowledge and subject matters as this video game where to unlock the ultimate level, I have to first gain all the context possible to win. It’s also incredibly fun for me. I really enjoy being in phases when I completely captured by a field/area I am studying and therefore would like to be doing something that offers me this.
People I am working with: When I compare my work, output, happiness in areas of life when I felt like I had a tribe that I belonged to and times when I didn’t, I always seemed to be so much better in all those facets when I did have a community by me. For me, life is so much better when I surround myself with a group of friends that are kind, genuine, caring, ethical and inspiring. I have been lucky to be in situations where that is the case and the energy in those environments unleashes creativity unparalleled anywhere else. Therefore, in two years time, I want to be doing something with people who are uplifting and provide a positive environment.
Impact: Finally, I really care about the type of impact that my work is making on the world and take the responsibility of being a positive driving force very seriously. I think that I have a lot to be grateful for when it comes to life: be it things like being able to walk and see to having a world-class education. Due to these, I feel morally compelled to make the most of the skills I have and contribute positively to the world in a few domains that I really care about. Hence, I envision doing something that revolves around those domains and that help make the world a better place in those regards.
The reason I outline this is because I am quite unsure what exactly I will be doing in the next two years. However, I am determined to try to find an opportunity that fits all the above criterion. Currently, I think that may lie in the field of neuroscience and brain computer interfaces – but I’m not certain!


‘Only a revolution can remove ZANU PF’ Jonathan Moyo says
by Staff ReporterProfessor Jonathan Moyo says the only way that can removed the oppressive system of ZANU PF is through a revolution and not through reforms.
Posting on twitter on Wednesday Moyo said, “As a former revolutionary party ZanuPF knows that the only way of changing an oppressive system is through a revolution, not reforms. In the struggle, Zanu did not think Rhodesian oppression could be reformed. Perpetrators of oppression, not its victims, can reform their system!”
The opposition MDC has been on record calling for reforms but the ruling ZXANU PF has been turning a deaf ear.
Professor Moyo is on record saying ZANU PF will never reform itself out of power.
In 2016 he told journalists at the Bulawayo Press Club on Friday that, “They (opposition) want to say put in place electoral reforms that will ensure that you lose and we win. And we’re saying no.
That will never happen anywhere in a modern constitutional democracy, that a political party that has come into government on the back of a new negotiated constitution, on the back of a new negotiated Electoral Act, comes up with reforms that will reform it out of power.
Because the reforms they’re talking about are clear codes to say come with reforms that will ensure that you’re out.”
Professor Moyo was exiled in Kenya after the November 2017 bloody coup that ended 37 years of Robert Mugabe’s rule and claimed the lives of some citizens including CIO boss Peter Munetsi before exiling many citizens.
Source – Byo24


not initialize username: email:
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status diff resolve changelog npm install


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Welcome! This page is a brief introduction to the ones who came before me, my "wonderful" siblings.
Nick: Nick was born in June of 1985. He is the first born son and is living with his wonderful wife.
Tj: Tj, or Thomas James, was born in June of 1988. He is the second born and has been living in Omaha since he graduated high school in 2007.
Will: William was born in May of 1989 and was number three in line to the throne. Will is currently living in Phoenix, AZ where he leads a boring life that has nothing to do with IT.


Here, you can update what colors you want for color coding, as well as update your notification settings.


John Zimmerman, Jodi Forlizzi, Shelley Evenson
Provides a methodological foundation for using design as a research method.
Partially read
The source of a really nice diagram (Figure 2.) which I recall from earlier study (before this readinglog), differentiating all the different roles and specialisms and positioning interaction designers (stereotype:real world experimenters?) relative to HCI practitioners (stereotype:academics?).
design research, hci, interaction design
"While design has gained a strong foothold in practice, it has had much
less impact on
the HCI research community"
"Following a research through design approach, designers
produce novel integrations of HCI research in an attempt to
make the right thing: a product that transforms the world
from its current state to a preferred state. This model allows
interaction designers to make research contributions based
on their strength in addressing under-constrained problems."
"Over the last two years we have
undertaken a research project to (i) understand the nature of
the relationship between interaction design and the HCI
research community, and (ii) to discover and invent
methods for interaction design researchers to more effectively
participate in HCI research."
"This lack
of a vision for interaction design research represents a lost
opportunity for the HCI research community to benefit
from the added perspective of design thinking in a
collaborative research environment."
"Design thinking. This term is often used to describe what
designers bring to problem solving and to rationalize why
designers need to be included in a project or process;
however, it is rarely defined. In some respects its ambiguity
is part of its strength, allowing it to be the right thing at the
right time. In terms of this paper, we mean the application
of a design process that involves grounding—investigation
to gain multiple perspectives on a problem; ideation—
generation of many possible different solutions; iteration—
cyclical process of refining concept with increasing fidelity;
and reflection."
"We formalize the model by describing four
lenses to evaluate the quality of an interaction design
research contribution. Finally, we illustrate how three
examples of interaction design research can be evaluated by
the criteria described here."
"we held four one-
on-one presentations of the model along with other research
models including Dick Buchanan’s model of design
research [4] and Daniel Fallman’s model of research-
oriented design and design-oriented research [12,13]."
"Through an active process of ideating, iterating, and
critiquing potential solutions, design researchers continually
reframe the problem as they attempt to make the right
thing. The final output of this activity is a concrete problem
framing and articulation of the preferred state, and a series
of artifacts—models, prototypes, products, and documentation of the
design process."
Richard Buchanan - credited for a model of Design Research to complement that of Daniel Fallman
Daniel Fallman - credite for a model of Design Research
Generally the reference section is a microcosm of all researchers which should be cited in this field - a good sign.


Preparation time
over 2 hours
Cooking time
30 mins to 1 hour
Serves
Makes 4 small loaves
Dietary
Ciabatta dough is extremely wet, so difficult to make by hand, but if you have a freestanding mixer it's simple. Don't be tempted to add more flour or rush the prove as it will spoil the the texture of the finished loaf.
Equipment and preparation: for this recipe you will need a freestanding mixer with a dough hook attachment and a 3 litre/5¼pint square plastic container with a lid.
Put the flour, salt and yeast with 330ml/11fl oz cold water into a freestanding mixer fitted with a dough hook (don’t put the salt directly on top of the yeast). Begin mixing on a slow speed.
As the dough starts to come together, with the motor running, slowly add another 110ml/3⅓fl oz of cold water, drip by drip. Mix for a further 5-8 minutes on a medium speed until the dough is smooth and stretchy.
Lightly oil a 3 litre/5¼pint square plastic container with a lid. (It’s important to use a square tub as it helps shape the dough).
Tip the dough into the oiled container and seal with the lid. Leave for 1½ to 1¾ hours at room temperature, or until at least doubled, even trebled in size (it's important the dough proves slowly, otherwise it will collapse and your loaves will be flat).
Dust two large baking trays with flour and semolina.
Dust your work surface heavily with flour and semolina and carefully tip out the dough (it will be very wet) - trying to retain a rough square shape.
Rather than knocking it back, handle it gently so you can keep as much air in the dough as possible. Coat the top of the dough with more flour and/or semolina.
Cut the dough lengthways, dividing into four equally-sized loaves.  Leave the ciabatta to rest for a further 30-45 minutes.
Preheat the oven to 220C/425F/Gas 8 (200C fan) and bake for 25 minutes, or until the loaves are golden-brown and sound hollow when tapped on the base. Leave to cool completely on a wire rack before serving.


Italy 07 Places
Popular Destination
Suffered alteration in some form, by injected humour or good day randomised booth anim 8-bit hella wolf moon beard words.
Brazil 03 Places
America 10 Places
Nepal 02 Places
Maldives 02 Places
Maldives 02 Places
Suffered alteration in some form, by injected humour or good day randomised booth anim 8-bit hella wolf moon beard words.
Italy 07 Places
Brazil 03 Places
America 10 Places
Nepal 02 Places
Maldives 02 Places
Maldives 02 Places


Home > HTML Questions > Which type of video formats are supported by HTML5?
HTML 5 supports three types of video formats:


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EDDIE A film review by Larry McGillicuddy Copyright 1996 Larry McGillicuddy
** Dir.-Steve Rash Cast-Whoopi Goldberg, Frank Langella, Lisa Ann Walter, Chris Berman, Dennis Farina, Marv Albert Review- How does this sound for a premise to a movie? Take Whoopi Goldberg and make her coach of the New York Knicks. Sounds like a wonderful idea to me. The execution of such a movie should be a peice of cake. Trash the screenplay and let Whoopi work. Unfortunately, the movie takes itself way too seriously, in many agonizing scenes that don't work.
Whoopi stars as Eddie, a die hard knicks fan and limousine driver, who does play by play for the other limo drivers. Then one day, the Knicks are sold to a millionare cowboy (Frank Langella, who seems to be spoofing Jerry Jones). The Knicks coach (Farina) is unhappy with this new arrangement and quits, but not until after Langella has rigged a contest so Eddie can be the honorary coach for a game. The crowd loves her, and Langella names her the new head coach.
 You can pretty much tell whats gonna happen throughout each part of the movie. Will the Knicks lose many games until Eddie learns some motivational technique that inspires them to break the losing streak? Will the ex-coach be named replacement at another team who will just happen to be the opposing team in the deciding game at the end? Will the tall foreign center's weakness of not being able to take a charge come into play at the end? If you don;t know the answers to these questions you have not seen many movies.
All of this would be forgiveable, of course, had Eddie been funny. Well, it is funny at times, but not nearly funny enough to overcome the obvious route this film is taken. Director Rash takes this film too seriously, trying to actually direct this movie. You don't direct a movie like Eddie. You turn on the cameras and let Whoopi work. Rash is a ballhog, and save for some moments where Whoopi gets the rebound and goes the length of the court, she isn't given nearly the opportunity she should have been given.Eddie has a great premise, a genuinely funny star, and some good basketball action, but the movie ultimately falls flat because the director tried to make too much of it.
****- Excellent. ***1/2- Very Good. ***- Good **1/2- Fair **- Below par *1/2- Bad *- Very Bad 1/2- Terrible No Stars- No redeeming qualities whatsoever.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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This is where something about Team Sequence goes. Like, maybe how Fibbonaci has got nothing on these players or something, something: math. I dunno.
Battle Creek born an' raised, in the arcade 'where we spent most of our days.
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Batfish Demo
Configuration:
Environment:
Differential Environment:
Query:
Data Plane Query
Differential Query
[Work GUID. Auto-populated to the last work issued, but you can specify your own too.]
[Status is automatically polled and populated when work is issued. But you trigger status check manually as well for the GUID above.]
Debug information:
Coordinator:

Worker:

[Refresh to learn the latest on the status of coordinator's work queues]
Completed works
Incomplete works
Output:


Netanyahu challenger Gantz fails to form new Israeli government: party
JERUSALEM (Reuters) - Benny Gantz, the main political challenger to Israeli Prime Minister Benjamin Netanyahu, has failed to form a new government by the deadline set after he tied with the incumbent in a September election, his centrist party said on Wednesday.
The Blue and White party made the announcement before a midnight deadline set by Israel’s president for Gantz, following a similar failed bid by Netanyahu to build a coalition.


Most of my products and creative works are open-access scientific articles, poems, and open-source software, thus, your donation motivates me to contribute to science and art as much as possible. Serving you and science is my biggest happiness. Please sponsor me by donating money to one of following bank accounts:
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Beneficiary bank: An Binh Commercial Joint Stock Bank (ABBank)
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Beneficiary name: NGUYEN PHUOC LOC
Beneficiary bank: Vietnam Technological and Commercial Joint-Stock Bank (Techcombank)
Swift code: VTCBVNVX
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Homepage: www.techcombank.com.vn
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Beneficiary name: NGUYEN PHUOC LOC
Beneficiary bank: Joint Stock Commercial Bank for Foreign Trade of Vietnam (Vietcombank)
Swift code: BFTVVNVX
Address: 198 Tran Quang Khai St., Hoan Kiem, Hanoi, Vietnam
Homepage: www.vietcombank.com.vn
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Beneficiary name: NGUYEN PHUOC LOC
Beneficiary bank: Vietnam Joint Stock Commercial Bank for Industry and Trade (VietinBank)
Swift code: ICBVVNVX
Address: 108 Tran Hung Dao St., Hoan Kiem, Hanoi, Vietnam
Homepage: www.vietinbank.vn
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VPBank account number: 94510627
Beneficiary name: NGUYEN PHUOC LOC
Beneficiary bank: Vietnam Prosperity Joint-Stock Commercial Bank (VPBank)
Swift code: VPBKVNVX
Address: 72 Tran Hung Dao St., Hoan Kiem, Hanoi, Vietnam
Homepage: www.vpbank.com.vn
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Homepage: www.locnguyen.net,
Email<EMAIL_ADDRESS>Tel: 84-975250362


The work with the lists begins with the rtList
directive. It represents a root container for the angular dependency
injection
and configures the services for the nested components (paging components, sorting directives and so
on).
At minimum, this directive needs the method for getting data, which will be called by the RtList
service.
This method should get one parameter with the settings of the request implementing ListRequest contract for the simple lists and PagedListRequest one for the paged lists.
If you configure any filters (we described it in the working with filters section), their values will be added to the request parameters under the corresponding names.
The return value of this method should be Observable
, Promise
, or EventEmitter
.
For the simple lists the response should contain array with the records. As for the paged ones, it should implement
ListResponse contract.
To work with the lists you should import the RTListsModule
module from right-angled
library
and add it into your AppModule
imports
array. You can also use RTModule
module
which includes the functionality of the entire library.
rtList
directiveloadOnInit
parameterThis parameter specifies that it is required to execute the first data loading automatically right after the list is
initialized. By default it is equal to true
defaultSortings
parameter
This parameter specifies the default sortings for the list. These sortings are applied right after the list is created. Then,
on resetSettings
method call, the values of list sortings will be resetted to this parameter value.
This parameter takes the array of objects which implements SortParameter
contract.
If the list has not been sorted at the moment of specifying the sortings, these sortings will be applied as current ones.
Below there is the example of the list, which by default sorts the list of airports by the airport name in ascending order
and by the residence country in descending order. The SortParameter
contract is also represented
on separate tab.
The rtList
directive contains several useful methods and properties allowing implementing typical scenarios
easily:
loadData(): void
executes the data loading.
reloadData(): void
resets paging parameters and executes data loading.
cancelRequests(): void
cancels the request executed at the moment.
resetSettings(): void
resets the list parameters (sortings, paging, filters) to their default values.
busy
property returns true
, if there is a data request executed at the moment.
ready
property returns true
, if there is no data request executed at the moment.
items
property returns the array of elements transferred in the property of the ListResponse.items object.
Below you can see the example with 4 buttons implemented using the mentioned methods and properties.
onListInit
eventThis event is generated after the AfterViewInit hook is executed and the first template rendering happened.
By using this event, it is possible to integrate into the initialization pipe of the RtList
service and
apply the additional settings before the first data loading.
For example, it is possible to register object with the filter settings by calling RtList.registerFilterTarget
method of RtList
service which is sent as event objects.
afterListInit
event
This event is generated after the list initialization is performed and it is ready to be used. The same as a previously described
one, it sends the RtList
service as event object.
rtSort
directiveThis directive is used to specify the list sortings. As a parameter this directive gets the sorting identifier, which will be applied to ListRequest.sortings array.
Below you can see the example of the list with this directive added into the column headers. Pay attention to these points:
rtSort
directive adds rt-sortable
class to the marked element. With the help of this class
you can set up the styles pointing out that the element is sortable. In our examples sortable elements display two-sided
arrow at the right side of the column on mouseover.
Asc
direction and the RtList.loadData
method will be called immediately. On second
click the direction of sorting is changed to the opposite one and the data request is executed again.
rt-sort-asc
or rt-sort-desc
css classes are added to marked element depending on the
current sorting direction.
Ctrl
key you can sort list by several fields.
rtRowNumber
pipeThis pipe is used for the automated numbering of the rows in the list. It recognizes the pager it works with and puts the numbers correspondingly. For example, it begins with 6, and not 1, for the second page of the paged list with page size equal to 5.
This pipe is applied to the index
value, which represents the index of the current element in the collection.
Also it is required to specify link to rtList
directive as a parameter.
In the example below we use this directive to add the numbers of the rows into the first column of the table.
items
collectionDocumentation is in progress.


Class BlenderInputStream
- java.lang.Object
-
- java.io.InputStream
-
- com.jme.scene.plugins.blender.file.BlenderInputStream
-
- All Implemented Interfaces:
java.io.Closeable
,java.lang.AutoCloseable
public class BlenderInputStream extends java.io.InputStream
An input stream with random access to data.- Author:
- Marcin Roguski
-
-
Field Summary
Fields Modifier and Type Field Description protected byte[]
cachedBuffer
The buffer we store the read data to.protected int
position
The current position of the read cursor.protected int
size
The total size of the stored data.
-
Constructor Summary
Constructors Constructor Description BlenderInputStream(java.io.InputStream inputStream)
Constructor.
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
alignPosition(int bytesAmount)
This method aligns cursor position forward to a given amount of bytes.void
close()
int
getPointerSize()
This method returns the size of the pointer.int
getPosition()
This method returns the position of the read cursor.java.lang.String
getVersionNumber()
This method returns the blender version number where the file was created.int
read()
int
readByte()
This method reads 1 byte from the stream.double
readDouble()
This method reads 8-byte floating point number (double) from the stream.float
readFloat()
This method reads 4-byte floating point number (float) from the stream.int
readInt()
This method reads 4-byte number from the stream.long
readLong()
This method reads 8-byte number from the stream.long
readPointer()
This method reads the pointer value.int
readShort()
This method reads 2-byte number from the stream.java.lang.String
readString()
This method reads the string.void
setPosition(int position)
This method sets the current position of the read cursor.
-
-
-
Constructor Detail
-
BlenderInputStream
public BlenderInputStream(java.io.InputStream inputStream) throws BlenderFileException
Constructor. The input stream is stored and used to read data.- Parameters:
inputStream
- the stream we read data from- Throws:
BlenderFileException
- this exception is thrown if the file header has some invalid data
-
-
Method Detail
-
read
public int read() throws java.io.IOException
- Specified by:
read
in classjava.io.InputStream
- Throws:
java.io.IOException
-
readByte
public int readByte()
This method reads 1 byte from the stream. It works just in the way the read method does. It just not throw an exception because at this moment the whole file is loaded into buffer, so no need for IOException to be thrown.- Returns:
- a byte from the stream (1 bytes read)
-
readShort
public int readShort()
This method reads 2-byte number from the stream.- Returns:
- a number from the stream (2 bytes read)
-
readInt
public int readInt()
This method reads 4-byte number from the stream.- Returns:
- a number from the stream (4 bytes read)
-
readFloat
public float readFloat()
This method reads 4-byte floating point number (float) from the stream.- Returns:
- a number from the stream (4 bytes read)
-
readLong
public long readLong()
This method reads 8-byte number from the stream.- Returns:
- a number from the stream (8 bytes read)
-
readDouble
public double readDouble()
This method reads 8-byte floating point number (double) from the stream.- Returns:
- a number from the stream (8 bytes read)
-
readPointer
public long readPointer()
This method reads the pointer value. Depending on the pointer size defined in the header, the stream reads either 4 or 8 bytes of data.- Returns:
- the pointer value
-
readString
public java.lang.String readString()
This method reads the string. It assumes the string is terminated with zero in the stream.- Returns:
- the string read from the stream
-
setPosition
public void setPosition(int position)
This method sets the current position of the read cursor.- Parameters:
position
- the position of the read cursor
-
getPosition
public int getPosition()
This method returns the position of the read cursor.- Returns:
- the position of the read cursor
-
getVersionNumber
public java.lang.String getVersionNumber()
This method returns the blender version number where the file was created.- Returns:
- blender version number
-
getPointerSize
public int getPointerSize()
This method returns the size of the pointer.- Returns:
- the size of the pointer
-
alignPosition
public void alignPosition(int bytesAmount)
This method aligns cursor position forward to a given amount of bytes.- Parameters:
bytesAmount
- the byte amount to which we aligh the cursor
-
close
public void close() throws java.io.IOException
- Specified by:
close
in interfacejava.lang.AutoCloseable
- Specified by:
close
in interfacejava.io.Closeable
- Overrides:
close
in classjava.io.InputStream
- Throws:
java.io.IOException
-
-


I'm an Experienced Technologist, Community Leader, with a Software Development background. Most of my career has been working with Web technologies, or being a proponent of the Web as a platform and the possibilities it opens up for all of us. I currently work for Toptal helping clients find the best talent fast.
- Many years of experience with software development, on projects large and small, primarily with tools and technologies for building for the Web.
- Deeply immersed in the Open Source ethos, and am still excited about the possibilities open brings beyond the code.
- Ex Community Engagement / Participation lead at Mozilla
- Work out of Startup Novo mesto, a local hub with talented people building great things.
Visit the links above to learn more about me and what I do.


джерело: WHO
12% of all deaths among adults aged 30 years and over were attributed to tobacco use. It kills more than 8 million people each year.
Each of these deaths is preventable.
Source: Our World in Data
At the average current price of 37 UAH source, tobacco is very affordable in Ukraine as compared to other countries in the world.
Source: Our World in Data
Source: World Bank
The most cost-effective way to reduce tobacco use is to raise taxes. In a country like Ukraine, a tax increase that increases tobacco prices by 10% decreases tobacco consumption by about 5%. It is especially effective among youth and people of low income. source
Source: World Bank
World Bank's simulation estimated the public-health impacts of tobacco taxation measures, along with other tobacco control policies. By 2035, Ukraine’s tobacco tax hike will avoid: 126,730 new cases of smoking-related disease; 29,172 premature deaths; and 267,098 potential years of life lost. source
Reductions in disease and death will save UAH 1.5 billion in health care costs and UAH 16.5 billion in premature mortality costs. source It will also avert the GDP loss of 3,2%. джерело
And no, it's not a critical factor in the increase of illicit trade. source
Ukraine: the Price of Smoking
Every year, tobacco kills up to a half of its users worldwide. The most cost-effective way to reduce tobacco use is to raise taxes. In a country like Ukraine, a tax increase that increases tobacco prices by 10% decreases tobacco consumption by about 5%. It is especially effective among youth and people of low income.


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