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IN THE HIGH COURT OF KERALA AT ERNAKULAM PRESENT THE HONOURABLE MR. JUSTICE RAJA VIJAYARAGHAVAN V THURSDAY, THE 11TH DAY OF OCTOBER 2018 / 19TH ASWINA, 1940 Bail Appl..No. 6541 of 2018 CRIME NO. 98/2018 OF KOLATHUR POLICE STATION, MALAPPURAM PETITIONER/ACCUSED: ABDU RAHOOF, AGED 36 YEARS S/O.ALI ANTHOOKKADAN, ANTHOOKKADAN HOUSE, KARIPPUR AMSOM DESOM, KONDOTTY TALUK, MALAPPURAM DISTRICT. BY ADVS. SRI.T.K.VIPINDAS SRI.K.V.SREE VINAYAKAN RESPONDENT/STATE: STATE OF KERALA, REPRESENTED BY PUBLIC PROSECUTOR, HIGH COURT OF KERALA, ERNAKULAM - 682 031., REPRESENTING S.H.O., KOLATHUR POLICE STATION, MALAPPURAM DISTRICT. BY SR.
2. The applicant herein is the 6th accused in Crime No.98 of 2018 registered at the Kolathur Police Station. In the aforesaid Crime, he is accused of having committed offence punishable under Sections 268, Bail Appl..No. 6541 of 2018 2 269, 277 r/w Section 34 of the IPC and Sections 24(1) and 43 of the Kerala Water (Prevention and Control) Pollution Act.
3. The applicant herein is a disabled man. He is running a chicken farm for the past several years. Prosecution allegation is that on 14.05.2018, the employees of the applicant herein dumped chicken waste near the water tank at Porunnamparambu and polluted the water source causing danger to public health.
4. The learned counsel appearing for the applicant referred to Annexure-A2 and submitted that the applicant is a person affected by polio and is having 60 % disability. The waste was dumped by his contract workers and it was without his knowledge or connivance. The learned counsel submits that the accused Nos.1 to 3 have already been released on bail by the jurisdictional court.
5. The learned Public Prosecutor has strenuously opposed the prayer. It is submitted that the applicant herein is the proprietor of the farm and the investigation conducted till date reveals that the applicant herein had a major role to play. Crime No.104 of 2018 of the Kolathur Police Station has also been registered on 18.5.2018 Bail Appl..No. 6541 of 2018 3 wherein the allegations are identical. He is a repeat offender and no sympathy is called for is the submission.
6. I have considered the submissions advanced and have gone through the materials made available. Having regard to the facts and circumstances, I am not persuaded to grant an order of pre-arrest bail to the applicant. However, taking note of the fact that the accused Nos.1 to 3 have already been released on bail and the applicant is a disabled man, I am of the view that the applicant can be directed to surrender before investigating officer within 10 days from 15.10.2018. He shall be thoroughly interrogated and shall thereafter be produced before the court having jurisdiction where he may seek regular bail. If an application for bail is preferred with advance notice to the learned Prosecutor, the same shall be considered and orders shall be passed expeditiously and on its merits ideally on the same day itself.
This application is dismissed.
Sd/-
RAJA VIJAYARAGHAVAN V IAP JUDGE


The options object is the end result after having parsed the configuration and the command line arguments. It is normally available under [config object].options.


--- layout: post authors: ["Sheldon McKay"] title: "Post-Workshop Instructor Debriefing, Round 1" date: 2015-01-21 time: "12:15:00" tags: ["Debriefing"] ---
In the first two weeks of January 2015, 14 Software Carpentry workshops were held at various locations. Every workshops brings its share of lessons learned and new experiences, particularly with new instructors coming online. On January 14, Greg Wilson hosted a post-workshop debriefing meeting attended by 21 instructors from 10 recent workshops. We got together to discuss how the workshops went, what worked, what didn't, and what could be improved.
Detailed notes from the meeting can be found on the etherpad. A number of themes emerged that resonated with my own experiences at the half dozen workshops I have instructed since qualifying last year. Below is a quick summary of some of the issues.
Technical
Overall, considering the heterogeneity in computing platforms and operating systems, installing the
software dependencies for the workshop goes fairly smoothly but there are usually a few installation
problems that require some kind of intervention. Two of the most common issues that came up are
incompatibility between the current version of git software and older versions of the Mac OS (10.7
and earlier) and behavior differences between Git BASH in Windows and the BASH shell in unix-like
operating systems. For Mac git, older versions are available at
https://www.kernel.org/pub/software/scm/git.
For Windows/Git BASH, referring to the non-existent /tmp folder can be a problem and the absence
of the 'man' program has been the source of some confusion. For suggestions about these or other
technical issues and solutions, please feel free to leave a comment below.
Workshop Participant Skill Levels
It is not unusual to encounter audiences with a bimodal distrubution of novice and more advanced
programmers. In such cases, participant feedback about the teaching pace may contain
equal proportions of "too fast" and "too slow", with the challenge being to find the
sweet spot to suit the group. This can present challenges in finding a balance that does not
leave the novices behind while, at the same time, not boring their more advanced colleagues. A
bright side to an uneven distrubution of skill levels is that the more advanced participants can
be recriuted as ad hoc helpers if their neighbors are struggling. It can sometimes be
difficult to make on the fly adjustments for the lessons, particularly for less experienced
instructors. Consulting the pre-workshop survey can be helpful in tailoring the lessons to
better target the audience. On a couple of occasions, we have used the informal day one
"sticky note" survey results to make adjustments for the second day.
Instruction Methods in the Field
Newly minted instructors being paired with seasoned veterans seems to work very well. It is also helpful for the instructors to touch base by skype or other means ahead of time, so that they do not arrive at the workshop as complete strangers. Where possible, it is helpful to arrange travel to allow time for instructors to meet and compare notes the evening before the workshop.
The Software Carpentry lessons usually contain teaching instructions on learning objectives, delivery, etc. Presenting lesson materials prepared by other can have its stylistic challenges. More experienced trainers will use the lessons as a guide that may be filled in as the situation dictates. Live coding on screen is a great way to keep the participants engaged while also helping the instructor to regulate their pace. In practice, some of us have found that it is helpful to refer to, but not show the written lessons at the time they are being presented. Using a tablet to refer to the online lessons while live coding on screen for works very well for some of us. Participants have variable levels of tolerance when it comes to departures from the written lesson and some instructors prefer no to have the participants see the lessons until afterward so their focus remains on what it happening at the front of the room.
During the workshop, instructors use different methods of interaction to facilitate effective learning. These range from plain old interruption through to Greg's approach, which is to leave the room to suppress the urge to interact with the instructor up front. There is a general consensus that it is best to avoid dividing the focus of the audience. A couple of non-disruptive approaches mentioned were 1) the non-teaching instructor raises their hand and waits to be acknowledged by the other instructor and 2) slowly walking toward the front of the room, also to draw the attention of the other instructor without distracting the audience.
There will be another debriefing meeting on January 27. Please consult the Etherpad for that meeting for details.


Adds or removes DOM sub-trees when their match expressions match the switch expression.
Elements within NgSwitch but without NgSwitchWhen or NgSwitchDefault directives will be
preserved at the location as specified in the template.
NgSwitch simply inserts nested elements based on which match expression matches the value
obtained from the evaluated switch expression. In other words, you define a container element
(where you place the directive with a switch expression on the
[ngSwitch]="..." attribute), define any inner elements inside of the directive and
place a [ngSwitchWhen] attribute per element.
The ngSwitchWhen property is used to inform NgSwitch which element to display when the
expression is evaluated. If a matching expression is not found via a ngSwitchWhen property
then an element with the ngSwitchDefault attribute is displayed.
Adds or removes DOM sub-trees when their match expressions match the switch expression.
Elements within
NgSwitch
but withoutNgSwitchWhen
orNgSwitchDefault
directives will be preserved at the location as specified in the template.NgSwitch
simply inserts nested elements based on which match expression matches the value obtained from the evaluated switch expression. In other words, you define a container element (where you place the directive with a switch expression on the[ngSwitch]="..."
attribute), define any inner elements inside of the directive and place a[ngSwitchWhen]
attribute per element.The
ngSwitchWhen
property is used to informNgSwitch
which element to display when the expression is evaluated. If a matching expression is not found via angSwitchWhen
property then an element with thengSwitchDefault
attribute is displayed.Example (live demo)
```typescript
({selector: 'app'})
({ template: `
Value = {{value}}
<div [ngSwitch]="value"> <p *ngSwitchWhen="'init'">increment to start</p> <p *ngSwitchWhen="0">0, increment again</p> <p *ngSwitchWhen="1">1, increment again</p> <p *ngSwitchWhen="2">2, stop incrementing</p> <p *ngSwitchDefault>> 2, STOP!</p> </div> <!-- alternate syntax --> <p [ngSwitch]="value"> <template ngSwitchWhen="init">increment to start</template> <template [ngSwitchWhen]="0">0, increment again</template> <template [ngSwitchWhen]="1">1, increment again</template> <template [ngSwitchWhen]="2">2, stop incrementing</template> <template ngSwitchDefault>> 2, STOP!</template> </p>
`, directives: [NgSwitch, NgSwitchWhen, NgSwitchDefault] }) export class App { value = 'init';
inc() { this.value = this.value === 'init' ? 0 : this.value + 1; } }
bootstrap(App).catch(err => console.error(err)); ```


Hi there, I’m Shahzad, a UX designer and a seldom frontend coder. I love making designs, sketching, learning about new technologies, and anything that entice my skill
Let's get in touch and see if I can somehow help you :)
<EMAIL_ADDRESS>Masters in Human-Technology Interaction
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AngularJS, Bootstrap, Ajax
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I am Squishiepuss a Atlanta based artist who specializes in all things pink! My French Bulldog character can be spotted around town in the form of murals, digital art, and collaborations with Atlanta based businesses.
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狂人日记 (Simplified Chinese) - 01 April 1918
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This is a webserver test page.
ASCII printable characters (32-127)
ASCII was the first character encoding standard (also called character set). Because ANSI and ISO-8859-1 were so limited, HTML 4 also supported UTF-8. UTF-8 (Unicode) covers almost all of the characters and symbols in the world. The default character set for HTML5 is UTF-8.
Codes 32-127 are common for all the different variations of the ASCII table, they are called printable characters, represent letters, digits, punctuation marks, and a few miscellaneous symbols. You will find almost every character on your keyboard. Character 127 represents the command DEL.
There are several different variations of the 8-bit ASCII table. The table below is according to Windows-1252 (CP-1252) which is a superset of ISO 8859-1, also called ISO Latin-1, in terms of printable characters, but differs from the IANA's ISO-8859-1 by using displayable characters rather than control characters in the 128 to 159 range. Characters that differ from ISO-8859-1 is marked by light blue color.


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pymatgen.electronic_structure.boltztrap module¶
-
class
BoltztrapAnalyzer
(gap=None, mu_steps=None, cond=None, seebeck=None, kappa=None, hall=None, doping=None, mu_doping=None, seebeck_doping=None, cond_doping=None, kappa_doping=None, hall_doping=None, intrans=None, dos=None, dos_partial=None, carrier_conc=None, vol=None, warning=None, bz_bands=None, bz_kpoints=None, fermi_surface_data=None)[source]¶ Bases:
object
Class used to store all the data from a boltztrap run
Constructor taking directly all the data generated by Boltztrap. You won’t probably use it directly but instead use the from_files and from_dict methods.
Parameters: - gap – The gap after interpolation in eV
- mu_steps – The steps of electron chemical potential (or Fermi level) in eV.
- cond – The electronic conductivity tensor divided by a constant relaxation time (sigma/tau) at different temperature and fermi levels. The format is {temperature: [array of 3x3 tensors at each fermi level in mu_steps]}. The units are 1/(Ohm*m*s).
- seebeck – The Seebeck tensor at different temperatures and fermi levels. The format is {temperature: [array of 3x3 tensors at each fermi level in mu_steps]}. The units are V/K
- kappa – The electronic thermal conductivity tensor divided by a constant relaxation time (kappa/tau) at different temperature and fermi levels. The format is {temperature: [array of 3x3 tensors at each fermi level in mu_steps]} The units are W/(m*K*s)
- hall – The hall tensor at different temperature and fermi levels The format is {temperature: [array of 27 coefficients list at each fermi level in mu_steps]} The units are m^3/C
- doping – The different doping levels that have been given to Boltztrap. The format is {‘p’:[],’n’:[]} with an array of doping levels. The units are cm^-3
- mu_doping – Gives the electron chemical potential (or Fermi level) for a given set of doping. Format is {‘p’:{temperature: [fermi levels],’n’:{temperature: [fermi levels]}} the fermi level array is ordered according to the doping levels in doping units for doping are in cm^-3 and for Fermi level in eV
- seebeck_doping – The Seebeck tensor at different temperatures and doping levels. The format is {‘p’: {temperature: [Seebeck tensors]}, ‘n’:{temperature: [Seebeck tensors]}} The [Seebeck tensors] array is ordered according to the doping levels in doping units for doping are in cm^-3 and for Seebeck in V/K
- cond_doping – The electronic conductivity tensor divided by a constant relaxation time (sigma/tau) at different temperatures and doping levels The format is {‘p’:{temperature: [conductivity tensors]}, ‘n’:{temperature: [conductivity tensors]}} The [conductivity tensors] array is ordered according to the doping levels in doping units for doping are in cm^-3 and for conductivity in 1/(Ohm*m*s)
- kappa_doping – The thermal conductivity tensor divided by a constant relaxation time (kappa/tau) at different temperatures and doping levels. The format is {‘p’:{temperature: [thermal conductivity tensors]},’n’:{temperature: [thermal conductivity tensors]}} The [thermal conductivity tensors] array is ordered according to the doping levels in doping units for doping are in cm^-3 and for thermal conductivity in W/(m*K*s)
- hall_doping – The Hall tensor at different temperatures and doping levels. The format is {‘p’:{temperature: [Hall tensors]}, ‘n’:{temperature: [Hall tensors]}} The [Hall tensors] array is ordered according to the doping levels in doping and each Hall tensor is represented by a 27 coefficients list. The units are m^3/C
- intrans – a dictionary of inputs e.g. {“scissor”: 0.0}
- carrier_conc – The concentration of carriers in electron (or hole) per unit cell
- dos – The dos computed by Boltztrap given as a pymatgen Dos object
- dos_partial – Data for the partial DOS projected on sites and orbitals
- vol – Volume of the unit cell in angstrom cube (A^3)
- warning – string if BoltzTraP outputted a warning, else None
- bz_bands – Data for interpolated bands on a k-point line (run_type=BANDS)
- bz_kpoints – k-point in reciprocal coordinates for interpolated bands (run_type=BANDS)
- fermi_surface_data – energy values in a 3D grid imported from the output .cube file.
-
static
check_acc_bzt_bands
(sbs_bz, sbs_ref, warn_thr=(0.03, 0.03))[source]¶ Compare sbs_bz BandStructureSymmLine calculated with boltztrap with the sbs_ref BandStructureSymmLine as reference (from MP for instance), computing correlation and energy difference for eight bands around the gap (semiconductors) or fermi level (metals). warn_thr is a threshold to get a warning in the accuracy of Boltztap interpolated bands. Return a dictionary with these keys: - “N”: the index of the band compared; inside each there are:
- “Corr”: correlation coefficient for the 8 compared bands
- “Dist”: energy distance for the 8 compared bands
- “branch_name”: energy distance for that branch
- “avg_corr”: average of correlation coefficient over the 8 bands
- “avg_dist”: average of energy distance over the 8 bands
- “nb_list”: list of indexes of the 8 compared bands
- “acc_thr”: list of two float corresponing to the two warning
- thresholds in input
- “acc_err”: list of two bools:
- True if the avg_corr > warn_thr[0], and True if the avg_dist > warn_thr[1]
See also compare_sym_bands function doc
-
static
from_files
(path_dir, dos_spin=1)[source]¶ get a BoltztrapAnalyzer object from a set of files
Parameters: - path_dir – directory where the boltztrap files are
- dos_spin – in DOS mode, set to 1 for spin up and -1 for spin down
Returns: a BoltztrapAnalyzer object
-
get_average_eff_mass
(output='eigs', doping_levels=True)[source]¶ Gives the average effective mass tensor. We call it average because it takes into account all the bands and regions in the Brillouin zone. This is different than the standard textbook effective mass which relates often to only one (parabolic) band. The average effective mass tensor is defined as the integrated average of the second derivative of E(k) This effective mass tensor takes into account: -non-parabolicity -multiple extrema -multiple bands
For more information about it. See:
Hautier, G., Miglio, A., Waroquiers, D., Rignanese, G., & Gonze, X. (2014). How Does Chemistry Influence Electron Effective Mass in Oxides? A High-Throughput Computational Analysis. Chemistry of Materials, 26(19), 5447–5458. doi:10.1021/cm404079a
or
Hautier, G., Miglio, A., Ceder, G., Rignanese, G.-M., & Gonze, X. (2013). Identification and design principles of low hole effective mass p-type transparent conducting oxides. Nature Communications, 4, 2292. doi:10.1038/ncomms3292
Depending on the value of output, we have either the full 3x3 effective mass tensor, its 3 eigenvalues or an average
Parameters: - output (string) – ‘eigs’ for eigenvalues, ‘tensor’ for the full
- and 'average' for an average (tensor) –
- doping_levels (boolean) – True for the results to be given at
- doping levels, False for results (different) –
- different electron chemical potentials (at) –
Returns: {temp:[]},’n’:{temp:[]}} with an array of effective mass tensor, eigenvalues of average value (depending on output) for each temperature and for each doping level. The ‘p’ links to hole effective mass tensor and ‘n’ to electron effective mass tensor.
Return type: If doping_levels=True,a dictionary {‘p’
-
get_carrier_concentration
()[source]¶ gives the carrier concentration (in cm^-3)
- Returns
- a dictionary {temp:[]} with an array of carrier concentration (in cm^-3) at each temperature The array relates to each step of electron chemical potential
-
get_complete_dos
(structure, analyzer_for_second_spin=None)[source]¶ Gives a CompleteDos object with the DOS from the interpolated projected band structure :param the structure: :type the structure: necessary to identify sites for projection :param analyzer_for_second_spin must be specified to have a: :param CompleteDos with both Spin components:
Returns: a CompleteDos object Example of use in case of spin polarized case:
BoltztrapRunner(bs=bs,nelec=10,run_type=”DOS”,spin=1).run(path_dir=’dos_up/’) an_up=BoltztrapAnalyzer.from_files(“dos_up/boltztrap/”,dos_spin=1)
BoltztrapRunner(bs=bs,nelec=10,run_type=”DOS”,spin=-1).run(path_dir=’dos_dw/’) an_dw=BoltztrapAnalyzer.from_files(“dos_dw/boltztrap/”,dos_spin=-1)
cdos=an_up.get_complete_dos(bs.structure,an_dw)
-
get_complexity_factor
(output='average', temp=300, doping_levels=False, Lambda=0.5)[source]¶ Fermi surface complexity factor respect to calculated as explained in Ref. Gibbs, Z. M. et al., Effective mass and fermi surface complexity factor from ab initio band structure calculations. npj Computational Materials 3, 8 (2017).
Parameters: - output – ‘average’ returns the complexity factor calculated using the average of the three diagonal components of the seebeck and conductivity tensors. ‘tensor’ returns the complexity factor respect to the three diagonal components of seebeck and conductivity tensors.
- doping_levels – False means that the complexity factor is calculated for every value of the chemical potential True means that the complexity factor is calculated for every value of the doping levels for both n and p types
- temp – temperature of calculated seebeck and conductivity.
- Lambda – fitting parameter used to model the scattering (0.5 means constant relaxation time).
Returns: a list of values for the complexity factor w.r.t the chemical potential, if doping_levels is set at False; a dict with n an p keys that contain a list of values for the complexity factor w.r.t the doping levels, if doping_levels is set at True; if ‘tensor’ is selected, each element of the lists is a list containing the three components of the complexity factor.
-
get_conductivity
(output='eigs', doping_levels=True, relaxation_time=1e-14)[source]¶ Gives the conductivity (1/Ohm*m) in either a full 3x3 tensor form, as 3 eigenvalues, or as the average value (trace/3.0) If doping_levels=True, the results are given at different p and n doping levels (given by self.doping), otherwise it is given as a series of electron chemical potential values
Parameters: - output (string) – the type of output. ‘tensor’ give the full
- tensor, 'eigs' its 3 eigenvalues and (3x3) –
- the average of the three eigenvalues ('average') –
- doping_levels (boolean) – True for the results to be given at
- doping levels, False for results (different) –
- different electron chemical potentials (at) –
- relaxation_time (float) – constant relaxation time in secs
Returns: {‘p’:[],’n’:[]}}. The ‘p’ links to conductivity at p-type doping and ‘n’ to the conductivity at n-type doping. Otherwise, returns a {temp:[]} dictionary. The result contains either the sorted three eigenvalues of the symmetric conductivity tensor (format=’eigs’) or a full tensor (3x3 array) (output=’tensor’) or as an average (output=’average’). The result includes a given constant relaxation time
units are 1/Ohm*m
Return type: If doping_levels=True, a dictionary {temp
-
get_extreme
(target_prop, maximize=True, min_temp=None, max_temp=None, min_doping=None, max_doping=None, isotropy_tolerance=0.05, use_average=True)[source]¶ This method takes in eigenvalues over a range of carriers, temperatures, and doping levels, and tells you what is the “best” value that can be achieved for the given target_property. Note that this method searches the doping dict only, not the full mu dict.
Parameters: - target_prop – target property, i.e. “seebeck”, “power factor”, “conductivity”, “kappa”, or “zt”
- maximize – True to maximize, False to minimize (e.g. kappa)
- min_temp – minimum temperature allowed
- max_temp – maximum temperature allowed
- min_doping – minimum doping allowed (e.g., 1E18)
- max_doping – maximum doping allowed (e.g., 1E20)
- isotropy_tolerance – tolerance for isotropic (0.05 = 5%)
- use_average – True for avg of eigenval, False for max eigenval
Returns: {“value”, “temperature”, “doping”, “isotropic”}
Return type: A dictionary with keys {“p”, “n”, “best”} with sub-keys
-
get_hall_carrier_concentration
()[source]¶ gives the Hall carrier concentration (in cm^-3). This is the trace of the Hall tensor (see Boltztrap source code) Hall carrier concentration are not always exactly the same than carrier concentration.
- Returns
- a dictionary {temp:[]} with an array of Hall carrier concentration (in cm^-3) at each temperature The array relates to each step of electron chemical potential
-
get_power_factor
(output='eigs', doping_levels=True, relaxation_time=1e-14)[source]¶ Gives the power factor (Seebeck^2 * conductivity) in units microW/(m*K^2) in either a full 3x3 tensor form, as 3 eigenvalues, or as the average value (trace/3.0) If doping_levels=True, the results are given at different p and n doping levels (given by self.doping), otherwise it is given as a series of electron chemical potential values
Parameters: - output (string) – the type of output. ‘tensor’ give the full 3x3
- 'eigs' its 3 eigenvalues and (tensor,) –
- the average of the three eigenvalues ('average') –
- doping_levels (boolean) – True for the results to be given at
- doping levels, False for results (different) –
- different electron chemical potentials (at) –
- relaxation_time (float) – constant relaxation time in secs
Returns: {‘p’:[],’n’:[]}}. The ‘p’ links to power factor at p-type doping and ‘n’ to the conductivity at n-type doping. Otherwise, returns a {temp:[]} dictionary. The result contains either the sorted three eigenvalues of the symmetric power factor tensor (format=’eigs’) or a full tensor (3x3 array) ( output=’tensor’) or as an average (output=’average’). The result includes a given constant relaxation time
units are microW/(m K^2)
Return type: If doping_levels=True, a dictionnary {temp
-
get_seebeck
(output='eigs', doping_levels=True)[source]¶ Gives the seebeck coefficient (microV/K) in either a full 3x3 tensor form, as 3 eigenvalues, or as the average value (trace/3.0) If doping_levels=True, the results are given at different p and n doping levels (given by self.doping), otherwise it is given as a series of electron chemical potential values
Parameters: - output (string) – the type of output. ‘tensor’ give the full
- tensor, 'eigs' its 3 eigenvalues and (3x3) –
- the average of the three eigenvalues ('average') –
- doping_levels (boolean) – True for the results to be given at
- doping levels, False for results (different) –
- different electron chemical potentials (at) –
Returns: {‘p’:[],’n’:[]}}. The ‘p’ links to Seebeck at p-type doping and ‘n’ to the Seebeck at n-type doping. Otherwise, returns a {temp:[]} dictionary The result contains either the sorted three eigenvalues of the symmetric Seebeck tensor (output=’eigs’) or a full tensor (3x3 array) ( output=’tensor’) or as an average (output=’average’).
units are microV/K
Return type: If doping_levels=True, a dictionary {temp
-
get_seebeck_eff_mass
(output='average', temp=300, doping_levels=False, Lambda=0.5)[source]¶ Seebeck effective mass calculated as explained in Ref. Gibbs, Z. M. et al., Effective mass and fermi surface complexity factor from ab initio band structure calculations. npj Computational Materials 3, 8 (2017).
Parameters: - output – ‘average’ returns the seebeck effective mass calculated using the average of the three diagonal components of the seebeck tensor. ‘tensor’ returns the seebeck effective mass respect to the three diagonal components of the seebeck tensor.
- doping_levels – False means that the seebeck effective mass is calculated for every value of the chemical potential True means that the seebeck effective mass is calculated for every value of the doping levels for both n and p types
- temp – temperature of calculated seebeck.
- Lambda – fitting parameter used to model the scattering (0.5 means constant relaxation time).
Returns: a list of values for the seebeck effective mass w.r.t the chemical potential, if doping_levels is set at False; a dict with n an p keys that contain a list of values for the seebeck effective mass w.r.t the doping levels, if doping_levels is set at True; if ‘tensor’ is selected, each element of the lists is a list containing the three components of the seebeck effective mass.
-
get_symm_bands
(structure, efermi, kpt_line=None, labels_dict=None)[source]¶ Function useful to read bands from Boltztrap output and get a BandStructureSymmLine object comparable with that one from a DFT calculation (if the same kpt_line is provided). Default kpt_line and labels_dict is the standard path of high symmetry k-point for the specified structure. They could be extracted from the BandStructureSymmLine object that you want to compare with. efermi variable must be specified to create the BandStructureSymmLine object (usually it comes from DFT or Boltztrap calc)
-
get_thermal_conductivity
(output='eigs', doping_levels=True, k_el=True, relaxation_time=1e-14)[source]¶ Gives the electronic part of the thermal conductivity in either a full 3x3 tensor form, as 3 eigenvalues, or as the average value (trace/3.0) If doping_levels=True, the results are given at different p and n doping levels (given by self.doping), otherwise it is given as a series of electron chemical potential values
Parameters: - output (string) – the type of output. ‘tensor’ give the full 3x3
- 'eigs' its 3 eigenvalues and (tensor,) –
- the average of the three eigenvalues ('average') –
- doping_levels (boolean) – True for the results to be given at
- doping levels, False for results (different) –
- different electron chemical potentials (at) –
- k_el (boolean) – True for k_0-PF*T, False for k_0
- relaxation_time (float) – constant relaxation time in secs
Returns: {‘p’:[],’n’:[]}}. The ‘p’ links to thermal conductivity at p-type doping and ‘n’ to the thermal conductivity at n-type doping. Otherwise, returns a {temp:[]} dictionary. The result contains either the sorted three eigenvalues of the symmetric conductivity tensor (format=’eigs’) or a full tensor (3x3 array) ( output=’tensor’) or as an average (output=’average’). The result includes a given constant relaxation time
units are W/mK
Return type: If doping_levels=True, a dictionary {temp
-
get_zt
(output='eigs', doping_levels=True, relaxation_time=1e-14, kl=1.0)[source]¶ Gives the ZT coefficient (S^2*cond*T/thermal cond) in either a full 3x3 tensor form, as 3 eigenvalues, or as the average value (trace/3.0) If doping_levels=True, the results are given at different p and n doping levels (given by self.doping), otherwise it is given as a series of electron chemical potential values. We assume a constant relaxation time and a constant lattice thermal conductivity
Parameters: - output (string) – the type of output. ‘tensor’ give the full 3x3
- 'eigs' its 3 eigenvalues and (tensor,) –
- the average of the three eigenvalues ('average') –
- doping_levels (boolean) – True for the results to be given at
- doping levels, False for results (different) –
- different electron chemical potentials (at) –
- relaxation_time (float) – constant relaxation time in secs
- k_l (float) – lattice thermal cond in W/(m*K)
Returns: {‘p’:[],’n’:[]}}. The ‘p’ links to ZT at p-type doping and ‘n’ to the ZT at n-type doping. Otherwise, returns a {temp:[]} dictionary. The result contains either the sorted three eigenvalues of the symmetric ZT tensor (format=’eigs’) or a full tensor (3x3 array) ( output=’tensor’) or as an average (output=’average’). The result includes a given constant relaxation time and lattice thermal conductivity
Return type: If doping_levels=True, a dictionary {temp
-
static
parse_cond_and_hall
(path_dir, doping_levels=None)[source]¶ Parses the conductivity and Hall tensors :param path_dir: Path containing .condtens / .halltens files :param doping_levels: ([float]) - doping lvls, parse outtrans to get this
Returns: mu_steps, cond, seebeck, kappa, hall, pn_doping_levels, mu_doping, seebeck_doping, cond_doping, kappa_doping, hall_doping, carrier_conc
-
static
parse_intrans
(path_dir)[source]¶ Parses boltztrap.intrans mainly to extract the value of scissor applied to the bands or some other inputs :param path_dir: (str) dir containing the boltztrap.intrans file
Returns: a dictionary containing various inputs that had been used in the Boltztrap run. Return type: intrans (dict)
-
static
parse_outputtrans
(path_dir)[source]¶ Parses .outputtrans file
Parameters: path_dir – dir containing boltztrap.outputtrans Returns: tuple - (run_type, warning, efermi, gap, doping_levels)
-
static
parse_struct
(path_dir)[source]¶ Parses boltztrap.struct file (only the volume) :param path_dir: (str) dir containing the boltztrap.struct file
Returns: (float) volume
-
static
parse_transdos
(path_dir, efermi, dos_spin=1, trim_dos=False)[source]¶ Parses .transdos (total DOS) and .transdos_x_y (partial DOS) files :param path_dir: (str) dir containing DOS files :param efermi: (float) Fermi energy :param dos_spin: (int) -1 for spin down, +1 for spin up :param trim_dos: (bool) whether to post-process / trim DOS
Returns: tuple - (DOS, dict of partial DOS)
-
exception
BoltztrapError
(msg)[source]¶ Bases:
Exception
Exception class for boltztrap. Raised when the boltztrap gives an error
-
class
BoltztrapRunner
(bs, nelec, dos_type='HISTO', energy_grid=0.005, lpfac=10, run_type='BOLTZ', band_nb=None, tauref=0, tauexp=0, tauen=0, soc=False, doping=None, energy_span_around_fermi=1.5, scissor=0.0, kpt_line=None, spin=None, cond_band=False, tmax=1300, tgrid=50, symprec=0.001, cb_cut=10, timeout=7200)[source]¶ Bases:
monty.json.MSONable
This class is used to run Boltztrap on a band structure object.
Parameters: - bs – A band structure object
- nelec – the number of electrons
- dos_type – two options for the band structure integration: “HISTO” (histogram) or “TETRA” using the tetrahedon method. TETRA typically gives better results (especially for DOSes) but takes more time
- energy_grid – the energy steps used for the integration (eV)
- lpfac – the number of interpolation points in the real space. By default 10 gives 10 time more points in the real space than the number of kpoints given in reciprocal space
- run_type – type of boltztrap usage. by default - BOLTZ: (default) compute transport coefficients - BANDS: interpolate all bands contained in the energy range specified in energy_span_around_fermi variable, along specified k-points - DOS: compute total and partial dos (custom BoltzTraP code needed!) - FERMI: compute fermi surface or more correctly to get certain bands interpolated
- band_nb – indicates a band number. Used for Fermi Surface interpolation (run_type=”FERMI”)
- spin – specific spin component (1: up, -1: down) of the band selected in FERMI mode (mandatory).
- cond_band – if a conduction band is specified in FERMI mode, set this variable as True
- tauref – reference relaxation time. Only set to a value different than zero if we want to model beyond the constant relaxation time.
- tauexp – exponent for the energy in the non-constant relaxation time approach
- tauen – reference energy for the non-constant relaxation time approach
- soc – results from spin-orbit coupling (soc) computations give typically non-polarized (no spin up or down) results but single electron occupations. If the band structure comes from a soc computation, you should set soc to True (default False)
- doping – the fixed doping levels you want to compute. Boltztrap provides both transport values depending on electron chemical potential (fermi energy) and for a series of fixed carrier concentrations. By default, this is set to 1e16 to 1e22 in increments of factors of 10.
- energy_span_around_fermi – usually the interpolation is not needed on the entire energy range but on a specific range around the fermi level. This energy gives this range in eV. by default it is 1.5 eV. If DOS or BANDS type are selected, this range is automatically set to cover the entire energy range.
- scissor – scissor to apply to the band gap (eV). This applies a scissor operation moving the band edges without changing the band shape. This is useful to correct the often underestimated band gap in DFT. Default is 0.0 (no scissor)
- kpt_line – list of fractional coordinates of kpoints as arrays or list of Kpoint objects for BANDS mode calculation (standard path of high symmetry k-points is automatically set as default)
- tmax – Maximum temperature (K) for calculation (default=1300)
- tgrid – Temperature interval for calculation (default=50)
- symprec – 1e-3 is the default in pymatgen. If the kmesh has been generated using a different symprec, it has to be specified to avoid a “factorization error” in BoltzTraP calculation. If a kmesh that spans the whole Brillouin zone has been used, or to disable all the symmetries, set symprec to None.
- cb_cut – by default 10% of the highest conduction bands are removed because they are often not accurate. Tune cb_cut to change the percentage (0-100) of bands that are removed.
- timeout – overall time limit (in seconds): mainly to avoid infinite loop when trying to find Fermi levels.
-
bs
¶
-
nelec
¶
-
run
(path_dir=None, convergence=True, write_input=True, clear_dir=False, max_lpfac=150, min_egrid=5e-05)[source]¶ Write inputs (optional), run BoltzTraP, and ensure convergence (optional) :param path_dir: directory in which to run BoltzTraP :type path_dir: str :param convergence: whether to check convergence and make
corrections if neededParameters: - write_input – (bool) whether to write input files before the run (required for convergence mode)
- clear_dir – (bool) whether to remove all files in the path_dir before starting
- max_lpfac – (float) maximum lpfac value to try before reducing egrid in convergence mode
- min_egrid – (float) minimum egrid value to try before giving up in convergence mode
Returns:
-
compare_sym_bands
(bands_obj, bands_ref_obj, nb=None)[source]¶ Compute the mean of correlation between bzt and vasp bandstructure on sym line, for all bands and locally (for each branches) the difference squared (%) if nb is specified.
-
eta_from_seebeck
(seeb, Lambda)[source]¶ It takes a value of seebeck and adjusts the analytic seebeck until it’s equal Returns: eta where the two seebeck coefficients are equal (reduced chemical potential)
-
seebeck_eff_mass_from_carr
(eta, n, T, Lambda)[source]¶ Calculate seebeck effective mass at a certain carrier concentration eta in kB*T units, n in cm-3, T in K, returns mass in m0 units


Bringing Out the Dead (1999) Reviewed by Eugene Novikov http://www.ultimate-movie.com/ Member: Online Film Critics Society
Starring Nicolas Cage, John Goodman, Patricia Arquette, Ving Rhames, Tom Sizemore. Rated R.
Martin Scorcese's latest project is his least potent since his first (Boxcar Bertha, for the uninitiated, was easily his most turgid endeavor). The ideas are here and so is the cast, but the set-ups in the script are merely serviceable. Bringing Out the Dead has a lot of things going for it but is unable to finally bring them all together into a compelling whole. It's still a decent feature from one of our most respected auteurs, but one of Scorcese's masterpieces this ain't.
In his most demanding role since Leaving Las Vegas, Nicolas Cage plays Frank Pierce, who sleeps by day and is an EMS technician by night. His stressful job has been getting to him lately, to the point where he begs his boss to fire him. He thinks he is seeing ghosts of people he couldn't save as he is driving around nighttime New York City. His partner (John Goodman) thinks he is losing it, and he may not be all wrong.
Pierce befriends the daughter of a dying man (Patricia Arquette). Her guilt and despair drive her to enter the drug underworld from which Frank must save her without descending there himself. It's harder than it sounds, especially when a mysterious drug-lord persuades him to take a pill that gives him the best few hours of sleep in his life. This dilemma only adds to the stress in his life, and we begin to see that he is on a verge of a breakdown.
The straw that finally breaks the camel's back is Frank's new partner, Marcus (Ving Rhames). Though his intentions are honorable, Marcus is a loud-mouthed, irritating guy who gets on Frank's nerves with his endless Bible-quoting diatribes. Just when he thought his life couldn't get any more depressing, he gets partnered with this guy. Folks, get ready to dance.
Nicolas Cage is fantastic as our favorite EMS technician. I'm not even sure this performance doesn't surpass the one he is best known for: Leaving Las Vegas. He is perfect in a movie that's far from it. To say that he is above his material would be a gross understatement. I've always thought that John Goodman was a very talented actor and his turn here certainly does not disprove that. He doesn't get as much screentime as I would have liked to see, but he makes himself known. Ving Rhames is an actor famous for his onscreen presence even more than his tremendous acting ability, and he reinforces that. His character is the film's most memorable aside from Cage's.
One performance I didn't like here was that of Patricia Arquette, who is rather flat as Pierce's apparent love interest. The character, too, is a curious one at best. She seems to act as nothing more as a device; a tool to squeeze as much pathos as humanly possible out of our protagonist. She is never defined as a person and we are never given any reason to care about her other than Pierce's attachment to her, and that's not enough.
Bringing Out the Dead is a reasonably entertaining but very uneven movie. It brings together a dream team of performance and a set of priceless individual moments without piecing them all together convincingly. Scenes work but the movie never gets off the ground because the story isn't as interesting to us as Scorcese presumes it to be. I reveled in the script's details without getting involved in, or particularly enjoying its main storyline.
Look: this isn't a horrible movie by any stretch of the imagination. I don't think the post 1975 Scorcese could possibly make one. What this is, however, is a disappointing movie. It's better viewed as a collection of vignettes rather than as a big whole. It just doesn't work like that.
Grade: C+
©1999 Eugene Novikov
Sent via Deja.com http://www.deja.com/ Before you buy.
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.
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Related links: index of all rec.arts.movies.reviews reviews


|
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| Interface Summary | |
| Action |
| Class Summary | |
| AbstractAction | AbstractAction gives you the infrastructure for easily deploying more Actions. |
| AbstractComplementaryConfigurableAction | Set up environment for configurable form handling data. |
| AbstractConfigurableAction | AbstractConfigurableAction gives you the infrastructure for easily deploying more Actions that take default parameters. |
| AbstractDatabaseAction | Set up environment for configurable form handling data. |
| AbstractValidatorAction | Abstract implementation of action that needs to perform validation of parameters (from session, from request, etc.). |
| ComposerAction | The ComposerAction will allow any Action
that extends this to access SitemapComponents. |
| ConfigurableComposerAction | The ComposerAction will allow any Action
that extends this to access SitemapComponents.
|
| ConfigurationHelper | |
| DatabaseAddAction | Adds record in a database. |
| DatabaseAuthenticatorAction | This action is used to authenticate user by comparing several request fields (username, password) with the values in database. |
| DatabaseDeleteAction | Delete a record from a database. |
| DatabaseSelectAction | Select a record from a database. |
| DatabaseUpdateAction | Update a record in a database. |
| FormValidatorAction | This is the action used to validate Request parameters. |
| HelloAction | A simple Action that tracks if a Session object
has been created or not. |
| HttpHeaderAction | This action adds HTTP headers to the response. |
| LangSelect | LangSelect Action returns two character language code to sitemap. |
| LocaleAction | LocaleAction is a class which obtains the request's locale information (language, country, variant) and makes it available to the sitemap/pipeline. |
| RequestParamAction | This action makes some request details available to the sitemap via parameter substitution. {context} - is the context path of the servlet (usually "/cocoon") {requestURI} - is the requested URI without parameters {requestQuery} - is the query string like "? |
| RequestParameterExistsAction | This action simply checks to see if a given request parameter exists. |
| ResourceExistsAction | This action simply checks to see if a given resource exists. |
| ScriptAction | A simple action that executes any script that can be run by the BSF |
| ServerPagesAction | Allows actions to be written in XSP. |
| SessionInvalidatorAction | This is the action used to invalidate an HTTP session. |
| SessionIsValidAction | This action just checks if a session exists and whether the current seesion is still valid. |
| SessionPropagatorAction | This is the action used to propagate parameters into session. |
| SessionStateAction | Store the session's current state in a session attribute. |
| SessionValidatorAction | This is the action used to validate Session parameters (attributes). |
| ValidatorActionHelper | Helper class to pass a the result of a validation back along with the validated object itself. |
| ValidatorActionResult | A number of constants to represent the possible outcomes of a validation. |
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project_name package¶
Submodules¶
project_name.example_module module¶
example_module: This module is for stuff.
-
project_name.example_module.
example_function
(example_input: int = 2) → int¶ A short description …
- Parameters
example_input (int) – a description of somthing
Notes
Some kind of notes
- Returns
a description of somthing
- Return type
int
Example
>>> output = example_function(2)
-
project_name.example_module.
example_function_2
(example_input: int = 2) → int¶ example_function
A short description …
- Parameters
example_input (int) – a description of somthing
Notes
Some kind of notes
- Returns
a description of somthing
- Return type
int
Example
>>> output = example_function(2)
project_name.example_module_2 module¶
example_module_2: This module is for stuff.
-
project_name.example_module_2.
example_function
(example_input: int = 2) → int¶ A short description …
- Parameters
example_input (int) – a description of somthing
Notes
Some kind of notes
- Returns
a description of somthing
- Return type
int
Example
>>> output = example_function(2)
-
project_name.example_module_2.
example_function_2
(example_input: int = 2) → int¶ example_function
A short description …
- Parameters
example_input (int) – a description of somthing
Notes
Some kind of notes
- Returns
a description of somthing
- Return type
int
Example
>>> output = example_function(2)
Module contents¶
Project Name¶
How to use the documentation¶
Documentation is available in two forms: docstrings provided with the code, and a loose standing reference guide, available from the documentation site https://james-montgomery.github.io/project_name/.
We recommend exploring the docstrings using IPython, an advanced Python shell with TAB-completion and introspection capabilities. See below for further instructions.
- The docstring examples assume that numpy has been imported as np::
>>> import numpy as np
- Code snippets are indicated by three greater-than signs::
>>> x = 42 >>> x = x + 1
- Use the built-in
help
function to view a function’s docstring:: >>> help(np.sort)


The nested loop structure of most linear algebra algorithms offers considerable scope for loop-based parallelism on shared memory machines. This is the principal type of parallelism that LAPACK at present aims to exploit. It can sometimes be generated automatically by a compiler, but often requires the insertion of compiler directives.


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The command above should yield a folder on your Desktop titled "webproject". Change the name to anything you like and watch the folder pop up instantly on your Desktop.
The command above should yield a folder on your Desktop titled "webproject". Change the name to anything you like and watch the folder pop up instantly on your Desktop.
The command above should yield a folder on your Desktop titled "webproject". Change the name to anything you like and watch the folder pop up instantly on your Desktop.
The command above should yield a folder on your Desktop titled "webproject". Change the name to anything you like and watch the folder pop up instantly on your Desktop.


Show Controls
Tool Type
Drag
Create Triange
Create Square
Wind
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Tear Strength
Draw Shape Fill
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Attach Points Every
Constraint Length
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--- layout: post title: Contig categories: - Bioinformatics - NGS tags: - Contig - NGS published: true comments: true ---
A contig is a contiguous sequence of bases that has been constructed by aligning reads and building consensus. Contigs are strung together, with gaps in between, to create a supercontig or scaffold.
Keep in mind: A supercontig or scaffold is typically comprised of hundreds of contigs, and a contig typically consists of thousands of reads.


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| Package | Top Level |
| Class | public class AutoDataGrid |
| Inheritance | AutoDataGrid mx.containers.Canvas |
| Implements | mx.binding.IBindingClient |
| Property | Defined by | ||
|---|---|---|---|
| dataProvider : ArrayCollection [read-only]
| AutoDataGrid |
| Method | Defined by | ||
|---|---|---|---|
|
labelFunctionFactory(k:String):Function
A DataGrid that automatically creates columns that correspond
to keys in the objects in dataProvider.
| AutoDataGrid |
| dataProvider | property |
dataProvider:ArrayCollection
[read-only]Implementation
public function get dataProvider():ArrayCollection
| labelFunctionFactory | () | method |
public function labelFunctionFactory(k:String):Function
A DataGrid that automatically creates columns that correspond to keys in the objects in dataProvider. Columns are formatted automatically.
Parametersk:String |
Function |


D-Day veteran given standing ovation from Queen and Donald Trump turns 100
John Jenkins carried out a secret mission before the Normandy landings in June 1944.
A D-Day veteran who took part in a secret reconnaissance mission to check out the Normandy beaches for the Allied forces is celebrating his 100th birthday.
John Jenkins is marking his centenary with his family in his home city of Portsmouth.
Earlier this year, he received a standing ovation from the Queen and US President Donald Trump when he addressed heads of state during the D-Day 75 commemorations on Southsea Common.
He said of his milestone: “Well frankly I don’t feel any different, in fact I think to myself ‘how did I get here? but there it is, time creeps up on you and before you know it you’re in your 100th year, which is amazing really.”
Explaining the secret to his longevity, Mr Jenkins, who was made an MBE for his role as a company sergeant major in the Territorial Army after the war, said: “I’ve always been a keen keep-fit chap, I always used to like PT at school, I became a physical training instructor in the Army, I also used to do a lot of amateur wrestling in my younger days so that kept me pretty fit.”
After leaving school, he became a bellboy for the Cunard cruise line in 1933 before he attempted to join the Royal Navy but was turned down because of his eyesight.
He went on to join the Hampshire Regiment of the Army before moving to the Pioneer Corps , in which he served as a platoon sergeant during the Second World War and was awarded the Legion d’Honneur for his part in D-Day.
His granddaughter, Alison Baynes, explained Mr Jenkins had also been involved in a secret mission to carry out a reconnaissance trip to the Normandy beaches ahead of the landings to take sand samples to select the appropriate landing sites.
She said: “He was told to keep it a secret so he hadn’t told anyone about it, not even his wife.”
Mr Jenkins went on to become a trolley bus driver after the war before working as a crane operator at Portsmouth Naval Base.
Mr Jenkins became the oldest man to abseil down Portsmouth’s Spinnaker Tower at the age of 95 in 2015, carried the Olympic torch in 2012, was awarded Portsmouth Volunteer of the Year in 2016 and National Museum and Heritage Volunteer of the Year 2019.
Mrs Baynes, from Lymington, Hampshire, said: “He’s a remarkable man, it’s hard to think of him as 100.
“He’s a people person, fiercely independent and a real inspiration.”


Class JSC3D.Viewer
Viewer
Viewer is the main class of JSC3D. It provides presentation of and interaction with a simple static 3D scene
which can either be given as the url of the scene file, or be manually constructed and passed in. It
also provides some settings to adjust the mode and quality of the rendering.
Viewer should be constructed with an existing canvas object where to perform the rendering.
Viewer provides 3 way to specify the scene:
1. Use setParameter() method before initilization and set 'SceneUrl' parameter with a valid url
that describes where to load the scene.
2. Use replaceSceneFromUrl() method, passing in a valid url to load/replace scene at runtime.
3. Use replaceScene() method, passing in a manually constructed scene object to replace the current one
at runtime.
Defined in: jsc3d.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
|
JSC3D.Viewer(canvas, parameters)
|
| Method Attributes | Method Name and Description |
|---|---|
|
enableDefaultInputHandler(enabled)
Enable/Disable the default mouse and key event handling routines.
|
|
|
getScene()
Get the current scene.
|
|
|
init()
Initialize viewer for rendering and interactions.
|
|
|
Check if WebGL is enabled for rendering.
|
|
|
pick(clientX, clientY)
Query information at a given position on the canvas.
|
|
|
replaceScene(scene)
Replace the current scene with a given scene.
|
|
|
replaceSceneFromUrl(sceneUrl)
Load a new scene from the given url to replace the current scene.
|
|
|
reportError(message)
Show information about a fatal error.
|
|
|
reportProgress(task, progress)
Show progress with information on current time-cosuming task.
|
|
|
Reset the current scene to its initial state.
|
|
|
rotate(rotX, rotY, rotZ)
Rotate the scene with given angles around Cardinal axes.
|
|
|
setBackgroudImageFromUrl(backgroundImageUrl)
Specify the url for the background image.
|
|
|
setDefinition(definition)
Set quality level of rendering.
|
|
|
setMouseUsage(usage)
Set control of mouse pointer.
|
|
|
setParameter(name, value)
Set the initial value for a parameter to parameterize the viewer.
|
|
|
setRenderMode(mode)
Set render mode.
|
|
|
setSphereMapFromUrl(sphereMapUrl)
Specify a new image from the given url which will be used for applying sphere mapping.
|
|
|
update(repaintOnly)
Ask viewer to render a new frame or just repaint last frame.
|
- Parameters:
- {Boolean} enabled
- true to enable the default handler; false to disable them.
- Returns:
- {JSC3D.Scene} the current scene.
- Returns:
- {Boolean} true if WebGL is enabled; false if WebGL is not enabled or unavailable.
- Parameters:
- {Number} clientX
- client x coordinate on the current page.
- {Number} clientY
- client y coordinate on the current page.
- Returns:
- {JSC3D.PickInfo} a PickInfo object which holds the result.
- Parameters:
- {JSC3D.Scene} scene
- the given scene.
- Parameters:
- {String} sceneUrl
- url string that describes where to load the new scene.
- Parameters:
- {String} message
- text information about this error.
- Parameters:
- {String} task
- text information about current task.
- {Number} progress
- progress of current task. this should be a number between 0 and 1.
- Parameters:
- {Number} rotX
- rotation angle around X-axis in degrees.
- {Number} rotY
- rotation angle around Y-axis in degrees.
- {Number} rotZ
- rotation angle around Z-axis in degrees.
- Parameters:
- {String} backgroundImageUrl
- url string for the background image.
Available quality levels are:
'low': low-quality rendering will be applied, with highest performance;
'standard': normal-quality rendering will be applied, with modest performace;
'high': high-quality rendering will be applied, with lowest performace.
- Parameters:
- definition
'default': default mouse control will be used;
'free': this tells {JSC3D.Viewer} a user-defined mouse control will be adopted. This is often used together with viewer.enableDefaultInputHandler(false) and viewer.onmousedown, viewer.onmouseup and/or viewer.onmousemove overridden.
'rotate': mouse will be used to rotate the scene;
'zoom': mouse will be used to do zooming.
'pan': mouse will be used to do panning.
- Parameters:
- {String} usage
- control of mouse pointer to be set.
- Deprecated:
- This method is obsolete since version 1.5.0 and may be removed in the future.
Available parameters are:
'SceneUrl': url string that describes where to load the scene, default to '';
'InitRotationX': initial rotation angle around x-axis for the whole scene, default to 0;
'InitRotationY': initial rotation angle around y-axis for the whole scene, default to 0;
'InitRotationZ': initial rotation angle around z-axis for the whole scene, default to 0;
'CreaseAngle': an angle to control the shading smoothness between faces. Two adjacent faces will be shaded with discontinuity at the edge if the angle between their normals exceeds this value. Not used by default;
'ModelColor': fallback color for all meshes, default to '#caa618';
'BackgroundColor1': color at the top of the background, default to '#ffffff';
'BackgroundColor2': color at the bottom of the background, default to '#383840';
'BackgroundImageUrl': url string that describes where to load the image used for background, default to '';
'RenderMode': render mode, default to 'flat';
'Definition': quality level of rendering, default to 'standard';
'MipMapping': turn on/off mip-mapping, default to 'off';
'SphereMapUrl': url string that describes where to load the image used for sphere mapping, default to '';
'ProgressBar': turn on/off the progress bar when loading, default to 'on'. By turning off the default progress bar, a user defined loading indicator can be used instead;
'Renderer': set to 'webgl' to enable WebGL for rendering, default to ''.
- Parameters:
- {String} name
- name of the parameter to set.
- value
- new value for the parameter.
Available render modes are:
'point': render meshes as point clouds;
'wireframe': render meshes as wireframe;
'flat': render meshes as solid objects using flat shading;
'smooth': render meshes as solid objects using smooth shading;
'texture': render meshes as solid textured objects, no lighting will be apllied;
'textureflat': render meshes as solid textured objects, lighting will be calculated per face;
'texturesmooth': render meshes as solid textured objects, lighting will be calculated per vertex and interpolated.
- Parameters:
- {String} mode
- new render mode.
- Parameters:
- {String} sphereMapUrl
- url string that describes where to load the image.
- Parameters:
- {Boolean} repaintOnly
- true to repaint last frame; false(default) to render a new frame.


Instructions/Notes:
The markov chain generator will try numerous times to assemble what is meant to pass for a
logical sentence. However, generally speaking, this value SHOULD be above 1000 to avoid an error.
Additionally, the eventual idea is that you will be able to generate a table of multiple cards,
however this feature does not yet work.


--- layout: post title: SB-Feb. 2013 date: 2013-03-04 00:27:54.000000000 -06:00 type: post parent_id: '0' published: true password: '' status: publish categories: - English tags: [] meta: _publicize_pending: '1' publicize_twitter_user: darribas _wpas_done_31944: '1' _publicize_done_external: a:1:{s:7:"twitter";a:1:{i:14787941;b:1;}} author: login: dreamessenceonthemove email<EMAIL_ADDRESS>display_name: darribas first_name: Daniel last_name: Arribas-Bel permalink: "/2013/03/04/sb-feb-2013/" ---
Santa Barbara was a window into heaven for a short while.


{% extends 'pages/base.html' %} {% load static %} {% block links %}
Rapid changes in technology are shaping the way people live, work and play. This shifting landscape makes it essential for brands to develop an effective and integrated marketing strategy that aligns a single perspective – the brand promise across all platforms, modes, and channels.
We tell the story of your business, brand, or ethos by creating meaningful and relevant experiences with your consumers. We start by sitting down with you to understand the objective of your campaign and we then help you achieve this by providing creative, exciting and ‘spot on solutions.
Count on us for your next project.
With a combined experience of 50+ years in marketing, our team has worked with some of the biggest local and international brands.
We are affiliated to A1 Outdoor, which is the market leader in outdoor advertising in Tanzania with footprint in Kenya and Zambia. A1 Outdoor has nearly three decades in the outdoor advertising industry and is fuelled by our passion and commitment to excellence.
VISIT A1 OUTDOOROur team will help you define a stand-out creative direction and will translate it into visual assets that will resonate with your audience.
With an experience of 10+ years, he has unique marketing insights and sector knowledge from advertising, experiential marketing and digital.
She has a creative mind and a zest for marketing, as well as a passion for understanding the complexity of the human mind.
Young and enthusiastic, she brings to A1 Activation her passion for understanding trends and commitment to deliver.
He has over 8 years of experience in operations; coordinating, planning and managing the execution of multiple projects simultaneously.
She is very attentive to detail and always searches for methods of improvement . She does not shy away from field work and has a hands on approach to monitoring projects .
He has over 3 years of experience across all design disciplines. Advanced knowledge of developing ideas,3d animation,illustration and still design.


Renaissance 2014 has been a great conference so far, and I loved getting the chance to discuss security today. If you’re looking for the slides, code, and links, they’re available at github.com/rnapier/security-right. If you missed my talk and would like to see it, don’t forget that the videos will be available for $49 through tomorrow (Jan 31). After that, it’ll be $99.
More later, but right now I’m more interested in this talk on software ethics, so I’m going to get back to listening.


Bristol mum tells of moment toddler's leg got stuck in Argos Cuggl stairgate
It happened on the day Argos recalled it - she had to call 999
by Tristan CorkThis was the moment a toddler somehow managed to trap her leg in one of the stairgates being recalled by Argos.
Shann Reeves had to call firefighters after realising that her daughter Pria’s leg was stuck in a stairgate she had planned to take back to Argos - and nothing she could do would get it out.
Shann had opened an email that very morning from Argos advising her that the Cuggl stairgate she bought in March was being recalled.
The store recalled two of the nine in their Cuggl range, and this spring and summer undertook extensive tests on them.
That resulted in a mass recall earlier this month, and the email was opened by Shann at her home in east Bristol on Tuesday morning.
“I realised that the recall was for the stairgate I had for Pria, and she’s just two now and has recently learned how to climb the stairs, so I was keen to get it returned and replaced,” she said.
“I was getting up and getting ready to go out to the shops to do that, and I was in front of her bedroom door and she was inside, with the stairgate across the doorway.
“I literally turned away to get ready for a minute and looked back and thought ‘why is she sitting so close to the stairgate?’
“Then she said ‘mummy, me stuck!’ and I went to see,” she added.
Somehow Pria had managed to put her foot through one gap in the bars, and then back through another gap.
“She’d obviously gone through and then tried to get her foot back out, and made it worse trying to wriggle. She’d kind of weaved her leg in and out of it.
“When I first saw it, I thought I’d just unweave it, but pretty quickly I realised that I was not going to be able to get her leg out without hurting her badly,” she added.
So Shann dialled 999. “The lady asked if I required police, fire or ambulance, and I said ‘either fire or ambulance, whichever can get my daughter’s leg out of this gate’,” she said.
Firefighters from Kingswood fire station arrived around 20 minutes later.
“We’re on our own, so I went down to unlock the front door and came back up and just sat behind Pria, propping her up, trying to distract her a bit, and to stop her wriggling, because she kept trying to pull on it,” said Shann.
“She was ok, but I think she was pretty worried, especially when her mummy couldn’t get her leg out. She realised she’d done something serious,” she added.
“So we were both just sitting there staring at the front door waiting for help to arrive - it’s the worst scenario, really, having to wait for the firefighters with the front door open.
“It was an absolute nightmare,” she added.
After 20 minutes that felt like hours, four firefighters arrived.
“They were great, but it took a while. They looked at what she’d done and couldn’t work out how to get her out - that was concerning,” said Shann.
One of the four went to the fire appliance to get equipment. “He went off to get the spreaders they use to prise open car doors in car crashes, so that was worrying. But luckily, the other three decided to have a go pulling the bars apart.
“It took all their strength and weight to pull the bars and I had to lift Pria up as the third firefighter gently manoeuvred her leg to get it free.
“The bars sprung back with some force - and it’s clear why these gates have been recalled,” she said.
“They were sat looking at the stairgate for a while, saying it was dangerous,” she said.
Now, Shann is planning to take the stairgate back, and is urging all parents to check what they’ve got and whether it has to be recalled.
Pria is recovering from her ordeal.
“She’s alright, she’s got bruising on her shin where it was pressing into the bone, and around the back of knee too. We’ve had quite a few biscuits to feel better,” she laughed.
With all the drama, she didn’t get to take the stairgate back, but it’s no longer in use. “Maybe I’ll keep it as a warning,” she joked.
“But people really should check and taken theirs back. You don’t need the receipt, even.
“Everyone should check what they’ve got against the list, and make sure they sort this out, because with this one at least, it’s easy to see how a child could get their head stuck in one, and it could be serious,” she added.
An Argos spokesperson said, “We are very sorry to hear about this incident.
"Product safety is our number one concern, which is why we recalled these stairgates after independent testing highlighted potential safety issues.
"We urge parents and carers with one of these stairgates to stop using it immediately and return it to an Argos store for a full refund," he said.
What are the problems?
Argos says there is a risk of the following problems occurring:
- Brackets or wooden slats breaking under high impact
- Regular banging or kicking of the gate, for example the auto-close feature failing
- The gaps between metal bars being wider than the required standard, which could lead to a child getting trapped
What products are being recalled?
Here’s the full list of affected products:
- Cuggl Autoclose Metal Gate: Cat no. 7076879
- Cuggl Metal & Wood Gate: Cat no. 7025112
- Cuggl Wooden Extending Gate: Cat no. 7065426
- Cuggl 7cm Pressure Fit Extension Kit: Cat no. 7063868
- Cuggl Pressure Fit Safety Gate: Cat no. 7036613
- Cuggl Extra Wide Hallway Gate: Cat no. 7060225
- Cuggl Extra Wide Adjustable Gate: Cat no. 6879613
For the latest news in and around Bristol, visit and bookmark Bristol Live's homepage.


The demo
Actions speak louder than words. So here is what you get (just hover over the images):
The story
One day i stumbled across http://www.sohtanaka.com/web-design/fancy-thumbnail-hover-effect-w-jquery/ and i liked the effect of the zooming images. But it has one big downside: When a zoomed image covers another thumbnail you can´t zoom that thumbnail. So i took my own attemp to create a jquery plugin that fixes this issue.
Features
- No need to click. Just hover over the images to enlarge them
- Real Animation of the image. Not only animating a placeholder div as in most lightboxes
- Support for image captions via alt attribute
- Centering images in viewport
- Scale image to fit in viewport
- Options to control speed of animations
- Complete control of the style with css
- 10 KB minified
- hoverIntent included as an option
- Debugging message
- Free and Open Source
Supported browsers
- Firefox 3.6+
- IE 6.0 +
- Safari (Tested in Version 5.0.3)
- Opera (Tested in version 11.0)
Please feel free to test it in other versions/browsers and notify me if it`s working or not.
Dependencies
jQuery 1.4+
Download
git clone git://github.com/jmar/jquery-hoverZoom.git
or download it from https://github.com/jmar/jquery-hoverZoom
Usage

Options
- speedView (600)
- A number determining how long the zoom in animation will run.
- speedRemove(400)
- A number determining how long the zoom out animation will run.
- showCaption (true | false)
- A boolean determining if captions should be displayed.
- speedCaption (800)
- A number determining how long the zoom in animation for captions will run.
- debug (true | false)
- A boolean determining if debugging messages should be send to a console.
- loadingIndicator (ajax-loader.gif)
- Path to an loadingIndicator image.
- loadingIndicatorPos (center | tl | tr | br | bl)
- Position to display the loadingIndicator (topleft, center, topright, etc.)
- easing (swing | linear | easeOutQuint) A string indicating which easing function to use for the animation. Supports the easing plugin
- captionHeight (32)
- A number determining the height of the caption
- breathingSize (0)
- A number determining margins around the zoomed image
- hoverIntent (true | false)
- A boolean determining whether to use the integrated hoverIntent Plugin or not.
- useBgImg(false)
- use a background image instead of zooming the real image
Bugs/Issues
Something not functioning as aspected? Please file a bug
Follow me
Follow me on twitter: http://twitter.com/jmartsch
or visit my Website (german): http://jensmartsch.de


The most prominent open source food solution is the Open Food Network. This organization is a "holarchy". A holarchy is essentially a self-regulating group of nodes. What this means in the context of open source food is that each individual node or smaller food network is self-sustaining and easily integrates into the larger network. The Open Food Network functions with three branches of each node: Food Producers, Food Hubs, and Food System Partners. Food producers are those who farm, pickle, and bring the food to the FoodHubs. The Food Hubs are those that buy food in bulk from the farmers to be sold on the Open Food Network. Food system partners are places that sell the food. [1]
The open source aspect of the Open Food Network is that any person can plug into any aspect of their network through their open source model. By open sourcing their business model and platform, the network creates opportunity for any participants to join while lowering the overhead costs. This type of model, open source food networks, is growing in popularity. It is part of a trend towards farm-to-table efforts. These open source models allow for local purchasing which drives circular economies; they allow for lowered distribution costs; and they allow for perfect information exchanges between farmers and their markets. These synergies add up to produce a more robust and self-reliant micro-economy within each node of open source distribution networks. [2]
Intellectual property, through patents, has entered the food space. Many companies are patenting specifically modified plant genomes that have unique properties. These properties include growing in hazardous conditions, with less resources, and producing. more or different nutrients. [3] In order to help companies recover the costs of investing so many resources into producing these special seeds, they use patents to protect their investment. While these patents don't allow for other researchers to continue investigating that specific genome, there is no other solution to guarantee that the cost of producing the genome can be recovered. Otherwise, there would be no method of preventing these companies from going bankrupt as producers simply steal their special genomes.
Walmart is also investing in a new type of patent in the food space. Blockchain technologies, as discussed and defined in previous blogs, hold incredible potential to create efficiencies in business systems. Walmart has invented a special blockchain solution that allows customers to identify themselves more easily on deliveries and track their food at every point on their route. Their claim is that it will allow for more accountability and safety in the transportation process. They have plans to incorporate drones into their solution to increase both speed of delivery and trust in the process. [4]
Another application of IP in the food problem space is 3D printing. 3D printing, when combined with AI and biological materials, can literally print foods. If this technology can be made cheaply, there is great potential to deploy these into low-income areas or areas hit by natural disasters so those without resources can print their food using whatever biomass is available around them. It is difficult to incentivize corporations to develop these technologies without the promise of a patent to recuperate costs. [5]
Sources
[1]_https://openfoodnetwork.org/
[2]_https://radioopensource.org/the-future-of-food/
[3]_https://www.zmescience.com/science/gmo-safe-or-not-043242/
[4]_https://www.digitaljournal.com/tech-and-science/technology/walmart-files-patent-for-a-new-blockchain-based-shipping-system/article/516555/
[5]_https://www.rdmag.com/article/2018/03/3d-printing-look-hype-success-and-possibility/


A savvy auditor had to compete against formidable competitors, yet managed to compose a complex capacitor for the project, impressing everyone with his skill. [G|D]
The diligent editor worked tirelessly to exhibit her work - a credit to her depositors, who were overjoyed with the final results. [G|D]
When the inquisitor arrived to monitor the situation, the janitor quickly put up an inhibitor to prevent any further disruption. [G|D]
The traitorous suitor sought to betray the progenitor of his family, but the wise solicitor counseled him not to let foolish impulses rule his actions. [G|D]


SBPD seeking Assault Suspect... 19 Nov 2019, 18:15 by Roger 3800 Block of State street BMA wearing dark shorts possibly a grey shirt.


Answer the following questions to find out which MTG class you are!
Which of the following do you identify with?
Wisdom Courage Power


We optimize methodologies!
- mesh killer users
- envisioneer holistic niches
- embrace scalable communities
- drive distributed channels
- deploy back-end experiences
- innovate dynamic infomediaries
- integrate sexy communities
- implement holistic e-commerce
- extend dynamic users
- strategize cross-platform infomediaries


Manage locum invoices.
Start typing in the box and you will be shown results based on your query.
From
To
Here you will be shown a live preview of the filtered billings you searched for.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Preheat the oven to 180C/350F/Gas 4.
For the Maryland chicken, combine the breadcrumbs and chilli flakes in a bowl and season well with salt and freshly ground black pepper.
Season the chicken and dip into the beaten egg, then the breadcrumb mixture, to coat all over.
Heat the oil in a frying pan and fry the chicken for about 12 minutes over a medium heat, turning frequently, until crisp and golden-brown.
Dot the chicken breasts with butter, place onto a baking sheet and transfer to the oven. Bake for ten minutes, or until the chicken is completely cooked through.
For the cornbread, place the flour, polenta, sugar and baking powder into a bowl and mix well. Place a deep, ovenproof dish into the oven.
Make a well in the centre of the dry mixture and add the beaten egg and the milk. Mix well, then add the melted butter.
Pour the mixture into the hot ovenproof dish, transfer to the oven and bake for 15 minutes, or until golden-brown.
For the banana fritters, place the vegetable oil into a deep, heavy-bottomed saucepan and heat until a small cube of bread sizzles and turns golden when dropped into it. (CAUTION: hot oil can be dangerous. Do not leave unattended.)
Place the flour and sugar into a bowl and add enough water to make a smooth batter. Dip the banana pieces into the batter to coat.
Carefully place the bananas into the hot oil and deep fry for 4-5 minutes, or until crisp and golden-brown.
To serve, place the Maryland chicken, cornbread and banana fritters onto a large platter.


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If you have any questions please feel free to reach out to us. Our goal is to create an online presence for the Common Good Atlanta students, and we want to help them engage with the community.


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Ling Bob Stables
We provide the finest contemporary stables and livery services in Horsforth, just outside of Leeds.
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07822 282322
<EMAIL_ADDRESS>GMTMA Limited, Beech House, Scotland Lane, Horsforth, Leeds, LS18 5HH. -
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John Smith
Stable Assistant
07822 282322
john@lingbobstables.com


Hi {{ beforeLogin.firebaseUser.displayName }},
Features are getting added to BlocChat.
- Soon you will be able to see if other chat room participant is online.
- You will be able to see if other user is typing a message in your current chat room
{{ beforeLogin.createUserMsg }}


Summary
Test Matrix
Signalled Students
Info
groups submitted /
marked as final
Export as CSV
Download All
Original
Mavenized
Check plagiarism
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Name
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Final


Today the Guardian yet again employs the preposterous Russell Brand as a commentator. This time his overwritten wittering is about the death of Philip Seymour Hoffman, which gives the “alleged comedian” (© Peter Hitchens) another opportunity to tell us that he is a recovering addict. Well, who knew? He may indeed be recovering from drink and drugs, but I think it's time he sought help for his pitiable addiction to babbling on and on about himself. Several decades in a Trappist monastery would be ideal.
Which brings us to the more important topic of Mr Key, or rather to his cupboard in The Dabbler, which today contains a piece about the role played by comedians in the governance of Britain. Warning: I am afraid Brand is mentioned there again—I really must get a grip!—though only in passing, and you lot will be able to sluice him out of your brains by contemplating, instead, such stars of yesteryear as Wilson, Keppel, and Betty.


Application: Maya 2012
Language: Python 3.x
Home
start()
Parameters
Requires the READY_TO_READ status.
Return Values
Pose data which influences the locked human skeleton.
Description
Start reading motion capture ouput data from an external source (MVN Studio).
This is loose reading, the motions are not saved.
The default udp port used in the code is 9763.
NOTE: You should execute either this function or the 'record()' function to succesfully start a session.
Also See
record()


A division of a large organization such as a government, university, or business, dealing with a specific area of activity.Specialized functional area within an organization or a division, such as accounting, marketing, planning. Generally every course has its own manager and chain of command.


John Freeburn, 72, says he flipped off his bike, over his handlebars and into a verge on the side of the road.
The keen cyclist says his head hit the ground first and pushed his glasses into his face, leaving him with a gash above his eye.
He has also suffered internal bruising and is in pain after the alleged unprovoked incident at around 3.30pm on Saturday afternoon.
"If my head had hit a rock instead of a grass verge I could be dead now," he told Cambridgeshire Live.
John from Gorefield near Wisbech, Cambridgeshire, says he was on a cycle ride when a pick-up truck slowed down beside him.
He claims the passenger then leaned out of the window and pushed him off the road.
John was travelling at around 14mph when the alleged incident happened.
He said: "I was about three miles from home when all of a sudden a white pick-up truck came level with me. The passenger leaned out of the window and pushed me off my bike.
"My head hit the ground first and pushed my glasses into my face. Now I have a gash above my eye which I had to have glued back together.
"If my head had hit a rock instead of a grass verge I could be dead now.
"I slammed onto the ground on my chest with such force that I was completely winded.
"The pain in my chest was unreal - I thought I'd broken every rib in my body. Fortunately I hadn't but I have got internal bruising.
"I'm in such pain that it's difficult to walk, and I haven't slept since yesterday because I just can't get comfortable".
An avid cyclist, John regularly does 70 - 80 mile bike rides. In 2014 he cycled the 874 mile route from Land's End to John O'Groats to raise money for the local primary school.
The retired engineer said he thinks the attack was premeditated in an attempt to steal his bike.
He said: "Usually I can hear vehicles coming and I have a Garmin radar that flashes when cars get closer. It didn't do that this time which makes me wonder whether they had turned the engine off so they could sneak up on me.
"I think they may have done it before because they had it down to a fine art."
Fortunately a woman driving through at the time stopped to help John.
He said: "The only thing that saved me was the woman who helped me.
"I was down a grass verge which is a bit of a drop from the road. I waved up for help and she came over but no one would have been able to see me if I was unconscious.
"I could be dead if it happened on the other side of the road because the verge is 12 feet deep with water at the bottom".
Two police cars then arrived at the scene. John was taken to Queen Elizabeth Hospital in King's Lynn to receive further care.
One of John's two daughters, Beth, took to Facebook to ask the public if they knew anything that could help.
She wrote: "Shocked upset and disgusted aren't the words. If anyone knows anything please contact the police or a member of the family.
"My dad who is 72, was out on his bike and someone in a vehicle opened their passenger window and pushed him off his bike while traveling at speed.
 Some wonderful people stopped to help, called the police and an ambulance. Dad has been taken to hospital.
"I genuinely can't believe what someone has done on purpose. Someone knows something and any information would be helpful. The police are investigating."
John is now resting at home to recover from the attack.
Mirror Online has contacted Cambridgeshire Police for comment.


Research on Digital Tools for Vaccination
Our goal is to achieve privacy, equity, and efficiency of the distribution so vulnerable populations can be
reached, unrecognized gaps can be addressed, and the learning can be harnessed for future pandemic
preparedness.
Our team’s research includes cryptographic protocols for data interoperability and privacy, human-centered
design for apps used by residents, and publications on policy and strategy.
In the near-term we are considering five main problems:
- Indicating vaccine eligibility based on priority tiers (vaccine coupons)
- Second dose coordination (privacy-preserving record linkage)
- Vaccine verification/passports (interoperability and privacy)
- Vaccine safety and efficacy monitoring (long-term, crowdsourced monitoring of safety and efficacy using private aggregation)
- Trust and communication (social media analytics, contextual messaging)
Protocols, App Design, and Papers
Vaccines for All Conferences
Disparities in equitable distribution, vaccine efficacy, duration of immunity, multi-dose adherence, and privacy-focused user experience are among the most critical difficulties that must be addressed. The biggest hurdles in designing digital solutions which engage citizens in this pandemic are human and societal as well as technological. Trust at all levels and among all participants is mandatory for success. Can participatory real time epidemiology and user-centric crowd-sourced solutions help? The deployment of exposure notification/health passport apps is a promising start.
The conference brought together experts and stakeholders to address the consequences impacting
disease-spread, individual behaviour, society, the economy, and data privacy.
Research
Research on Digital Tools for Vaccination Protocols, App Design, and Papers
Recent Work
SafePaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience (Draft)
Finalist, Facebook Data Challenge
Verifiable Proof of Health Using Public Key Cryptography (Draft)
Finalist, Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge
Congressional Testimony: Exposure Notification and Contact Tracing: How AI Helps Localities Reopen Safely and Researchers Find a Cure
First app to launch Mar 15th, Apps Gone Rogue
About Us
Trusted Pandemic Technologies’ mission is to help public health
professionals rapidly overcome challenging barriers they encounter as they engage citizens as active
participants in digital solutions for fighting COVID-19 and future pandemics.
Today, the program is focused on creating citizen-centric solutions for the digital management of
COVID-19 vaccine distribution, testing, and health verification. Previously the program worked with
public health officials as they designed and deployed exposure notification and digital contact tracing
solutions. Subsequent initiatives under consideration include surveillance, monitoring, and predictive
modeling to better prepare us, as a society, for future pandemics.
The founding belief of Trusted Pandemic Technologies is that when it comes to engaging citizens in a
quest for the common good, especially public health, trust at all levels and among all participants
is mandatory for success. The program builds on privacy-preserving systems for smartphone data, analytics,
and machine learning.


Description of project:
Interactive luminous floors have been designed with a great variety of constructions and technologies. Applied technologies includes camera-tracking, force-sensitive resistors and capacitive sensing. Although, despite the amount of research, neither one of the technologies used has proved to be a “one solution that fits all” applications. In this master thesis, we propose CapFloor, an interactive luminous floor consisting of LED-panels and a transparent capacitive sensing surface for tracking users in proximity or in contact.
Before reaching our final prototype, we have been through an iterative design process. This process included, contextual inquiries and exploration of different sensing technologies. Additionally, we investigate the core difficulties that exists when using capacitive sensing in a sensing surface that is placed directly on an LED-floor. Through the knowledge obtained during the design process, we provide an overview of the advantages and limitations concerning a selection of technologies applied in interactive floors. Finally, we show an example of how CapFloor can be used to guide and motivate users during their workout.
Results:
This thesis contributes to the HCI community with an alternative approach to create interactive luminous floors. We propose CapFloor, an interactive luminous floor consisting of LED-panels and a transparent capacitive sensing surface for tracking users in proximity or in contact.Additionally, through knowledge obtained during the design process, we contribute with:
PrototypingConcept developmentAgile processTUI


Rather than defining a superset of valid instances an extension describes a different, possibly intersecting set of instances that structurally extend the base type. In many cases the extension will describe a valid subclass of the parent, and in these cases Gloze will assert a subClass relationship.
The schema below defines a class 'Foo' with a single element 'foo', and two extensions of it. If we use extensions simply to add new elements and attributes we have nothing to worry about. The first type 'FooBar' adds a new element 'bar'. The latter type 'FooFoo' extends the base type by adding another occurrence of 'foo'.
<?xml version="1.0" encoding="UTF-8"?> <xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema" targetNamespace="http://example.org/" xmlns="http://example.org/" elementFormDefault="qualified"> <xs:element name="foo"> <xs:complexType /> </xs:element> <xs:element name="bar"> <xs:complexType /> </xs:element> <xs:complexType name="Foo"> <xs:sequence> <xs:element ref="foo"/> </xs:sequence> </xs:complexType> <xs:complexType name="FooBar"> <xs:complexContent> <xs:extension base="Foo"> <xs:sequence> <xs:element ref="bar"/> </xs:sequence> </xs:extension> </xs:complexContent> </xs:complexType> <xs:complexType name="FooFoo"> <xs:complexContent> <xs:extension base="Foo"> <xs:sequence> <xs:element ref="foo"/> </xs:sequence> </xs:extension> </xs:complexContent> </xs:complexType> </xs:schema>
The first extension 'FooBar' results in a valid subClass relationship, with each element having cardinality 1. The latter class 'FooFoo' is not a valid subClass, the cardinality of foo is 2, so the minimum cardinality (2) from the child is greater than the maximum cardinality (1) inherited from the parent. Because this interval is empty, the class 'FooFoo' is unsatisfiable.
@prefix ns2: <http://example.org/def/> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix ns1: <http://example.org/> . @prefix xs_: <http://www.w3.org/2001/XMLSchema#> . @prefix owl: <http://www.w3.org/2002/07/owl#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix xs: <http://www.w3.org/2001/XMLSchema> . ns1:Foo a owl:Class ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality "1"^^xs_:int ; owl:onProperty ns1:foo ] . ns1:bar a rdf:Property , owl:ObjectProperty . ns1:FooBar a owl:Class ; rdfs:subClassOf ns1:Foo ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality "1"^^xs_:int ; owl:onProperty ns1:bar ] ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality "1"^^xs_:int ; owl:onProperty ns1:foo ] . ns1:foo a rdf:Property , owl:ObjectProperty . <http://example.org/extension.owl> a owl:Ontology . ns1:FooFoo a owl:Class ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality "2"^^xs_:int ; owl:onProperty ns1:foo ] .
Invalid subClass relationships are detected logically, by asserting the hypothetical relationship and seeing if it results in an inconsistency. If it does - the subclass relationship is retracted. In the next section we will see why schema that use extension in particular ways must be defined in terms of their necessary and sufficient conditions.
Unfortunately, a minor change to this example turns this violation into something far nastier. In the example below, we change the type of element 'foo' from an object to a datatype property (an xs:string). A valid instance of 'FooFoo' will include two occurrences of 'foo' with identical values. When this is mapped into RDF, these count as a single logical statement, so a valid instance may have a cardinality for 'foo' of 1. Of course we still have the typical case where each occurrence has a different value, with a cardinality of foo of 2. So the cardinality of 'foo' in 'FooFoo' lies in the interval [1,2]. The cardinality of 'foo' in class 'Foo' is 1, as before.
The previous line of reasoning now fails, as the minimum cardinality of the child (1) no longer crosses the maximum cardinality of the parent (1). Nor is it valid to argue that the maximum cardinality of the child (2) is greater than the maximum cardinality of the child (1), in effect widening the definition. The child is defined only in terms of its necessary conditions, and taking the intersection with its parent we still end up with a satisfiable class with a cardinality for 'foo' of 1.
It turns out that 'FooFoo' is a valid subclass of 'Foo' only because of those errant instances where 'foo' has identical values. It's unlikely that this is the meaning of 'FooFoo' intended by the schema author, especially as this particular implication remains implicit. One solution to this problem is to define classes in terms of their necessary and sufficient conditions, meaning that any instance satisfying the conditions is a member by definition. We express necessary and sufficient conditions in OWL by defining classes as an intersectionOf a set of restrictions.
We reason semantically as follows. Because to be a member of 'FooFoo' it is sufficient to have a cardinality of 'foo' of no more than 2, there must be a valid instance of 'FooFoo' with exactly 2 'foo' properties. This individual can't be a model of 'Foo' because this has a maximum cardinality for 'foo' of 1. If 'FooFoo' were a subClass of 'Foo' then every model of 'FooFoo' must also be a model of 'Foo'.
<?xml version="1.0" encoding="UTF-8"?> <xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema" targetNamespace="http://example.org/" xmlns="http://example.org/" elementFormDefault="qualified"> <xs:element name="foo" type="xs:string" /> <xs:complexType name="Foo"> <xs:sequence> <xs:element ref="foo" /> </xs:sequence> </xs:complexType> <xs:complexType name="FooFoo"> <xs:complexContent> <xs:extension base="Foo"> <xs:sequence> <xs:element ref="foo" /> </xs:sequence> </xs:extension> </xs:complexContent> </xs:complexType> </xs:schema>
The gloze mapping is invoked with class=intersectionOf. The logical inconsistency is detected and the subClass relationship between 'FooFoo' and 'Foo' is correctly retracted.
@prefix ns2: <http://example.org/def/> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix ns1: <http://example.org/> . @prefix xs_: <http://www.w3.org/2001/XMLSchema#> . @prefix owl: <http://www.w3.org/2002/07/owl#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix xs: <http://www.w3.org/2001/XMLSchema> . <http://example.org/extension1.owl> a owl:Ontology . ns1:Foo a owl:Class ; owl:intersectionOf ([ a owl:Restriction ; owl:cardinality "1"^^xs_:int ; owl:onProperty ns1:foo ]) . ns1:foo a rdf:Property , owl:DatatypeProperty ; rdfs:range xs_:string . ns1:FooFoo a owl:Class ; owl:intersectionOf ([ a owl:Restriction ; owl:minCardinality "1"^^xs_:int ; owl:onProperty ns1:foo ] [ a owl:Restriction ; owl:maxCardinality "2"^^xs_:int ; owl:onProperty ns1:foo ]) .


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