Sattire or Parody
Misleading Content
Imposter Content
Click-bait
Echo Chamber
Media bias
Info Gatekeeper
Contagion
Moderate spread


"This is going to be hard for you to believe"sad cody "i'm listening "said uncle jesse "today at my surf meet when i fell into the water..i got back on my board to see a merman's tail" "MERMANS Tail!?!" said jesse "told you it was hard to believe "actually cody"said uncle jesse "i believe you..and i think it's time you knew the truth" "what truth" asked cody "Does it have anything to do with what i told you" "well now YOU are going to have a have a hard time believing ME" said jesse "because I believe that what happened to you today is tied in to the day that I adopted you" "come again" asked Cody
Dramatic Flashback...
"It all happened 15 years ago"said uncle jesse to cody "i was just taking an evening walk on the beach when i saw a BABY lying in a seashell i tried finding who this child belong to but all found was an locket,i couldn't leave the child there so i took him in...and that child was you"
End of Flashback
"Sooo what your saying is that I'm a Merperson?"


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368 Foreign Key Constraints
| Constraint Name | Child Column | Parent Column | Delete Rule | ||
|---|---|---|---|---|---|
| m_provisioning_criteria_definition_ibfk_3 |
|
|
Restrict delete | ||
| m_provisioning_criteria_definition_ibfk_4 |
|
|
Restrict delete | ||
| m_provisioning_criteria_definition_ibfk_1 |
|
|
Restrict delete | ||
| m_provisioning_criteria_definition_ibfk_2 |
|
|
Restrict delete | ||
| m_report_mailing_job_run_history_ibfk_1 |
|
|
Restrict delete | ||
| FK_acc_accounting_rule_acc_gl_account_debit |
|
|
Restrict delete | ||
| FK_acc_accounting_rule_acc_gl_account_credit |
|
|
Restrict delete | ||
| FK_acc_accounting_rule_m_office |
|
|
Restrict delete | ||
| FK_access_type_code_m_code_value |
|
|
Restrict delete | ||
| FK_m_product_mix_product_id_to_m_product_loan |
|
|
Restrict delete | ||
| FK_m_product_mix_restricted_product_id_to_m_product_loan |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_acc_gl_account |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_appuser_2 |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_loan_transaction |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_savings_account_transaction |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_office |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_payment_detail |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_client_transaction |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_appuser |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_acc_gl_journal_entry |
|
|
Restrict delete | ||
| FK_acc_gl_journal_entry_m_share_account_transaction |
|
|
Restrict delete | ||
| FK__m_loan_transaction |
|
|
Restrict delete | ||
| FK__m_loan_charge |
|
|
Restrict delete | ||
| FK_m_loan_m_loan_recalculation_details |
|
|
Restrict delete | ||
| m_share_product_market_price_ibfk_1 |
|
|
Restrict delete | ||
| FK_acc_accounting_rule_id |
|
|
Restrict delete | ||
| FK_m_code_value_id |
|
|
Restrict delete | ||
| FK2291C477E2551DCC |
|
|
Restrict delete | ||
| Parent_levelId_reference |
|
|
Restrict delete | ||
| FK1_request_audit_table_m_client |
|
|
Restrict delete | ||
| FKMSS0000000001 |
|
|
Restrict delete | ||
| m_entity_datatable_check_ibfk_1 |
|
|
Restrict delete | ||
| FK488B92AA40BE0710 |
|
|
Restrict delete | ||
| FK_m_calendar_m_calendar_history |
|
|
Restrict delete | ||
| FK_m_standing_instructions_account_transfer_details |
|
|
Restrict delete | ||
| FK_m_client_document_m_client |
|
|
Restrict delete | ||
| FK_m_client_document_m_code_value |
|
|
Restrict delete | ||
| FK_guarantee_details_loan_product |
|
|
Restrict delete | ||
| FK1_client_device_registration_m_client |
|
|
Restrict delete | ||
| m_survey_responses_ibfk_1 |
|
|
Restrict delete | ||
| notification_mapper_ibfk_3 |
|
|
Restrict delete | ||
| notification_mapper_ibfk_2 |
|
|
Restrict delete | ||
| FK_m_savings_account_transaction_m_payment_detail |
|
|
Restrict delete | ||
| FKSAT0000000001 |
|
|
Restrict delete | ||
| FK_m_savings_account_transaction_m_office |
|
|
Restrict delete | ||
| FK_m_calendar_instance_m_meeting |
|
|
Restrict delete | ||
| FKDPTP00000000000001 |
|
|
Restrict delete | ||
| fk_topic_has_m_appuser_m_appuser1 |
|
|
Restrict delete | ||
| fk_topic_has_m_appuser_topic |
|
|
Restrict delete | ||
| scheduled_email_campaign_ibfk_1 |
|
|
Restrict delete | ||
| m_survey_lookup_tables_ibfk_1 |
|
|
Restrict delete | ||
| m_savings_account_charge_ibfk_1 |
|
|
Restrict delete | ||
| m_savings_account_charge_ibfk_2 |
|
|
Restrict delete | ||
| borrower_cycle_loan_product_FK |
|
|
Restrict delete | ||
| FK_mappings_m_variable_product_loan_id |
|
|
Restrict delete | ||
| scheduledjobsFK |
|
|
Restrict delete | ||
| cbConfigfk1 |
|
|
Restrict delete | ||
| FKDPIRC00000000000001 |
|
|
Restrict delete | ||
| FKDPIRC00000000000002 |
|
|
Restrict delete | ||
| FK_m_cashiers_m_staff |
|
|
Restrict delete | ||
| FK_m_cashiers_m_teller |
|
|
Restrict delete | ||
| FK_m_staff_m_image |
|
|
Restrict delete | ||
| FK_m_staff_m_office |
|
|
Restrict delete | ||
| FK7C9708924D26803 |
|
|
Restrict delete | ||
| FK7C970898F889C3F |
|
|
Restrict delete | ||
| FK_m_note_m_group |
|
|
Restrict delete | ||
| FK7C9708940BE0710 |
|
|
Restrict delete | ||
| FK7C97089541F0A56 |
|
|
Restrict delete | ||
| FK_savings_account_id |
|
|
Restrict delete | ||
| FK7C970897179A0CB |
|
|
Restrict delete | ||
| fkClientCollateral |
|
|
Cascade on delete | ||
| fkLoan |
|
|
Cascade on delete | ||
| fkTransaction |
|
|
Cascade on delete | ||
| FK_mappings_m_floating_rates |
|
|
Restrict delete | ||
| address_fields_codefk2 |
|
|
Restrict delete | ||
| address_fields_codefk1 |
|
|
Restrict delete | ||
| m_loanproduct_provisioning_entry_ibfk_1 |
|
|
Restrict delete | ||
| m_loanproduct_provisioning_entry_ibfk_2 |
|
|
Restrict delete | ||
| m_loanproduct_provisioning_entry_ibfk_3 |
|
|
Restrict delete | ||
| m_loanproduct_provisioning_entry_ibfk_4 |
|
|
Restrict delete | ||
| m_loanproduct_provisioning_entry_ibfk_5 |
|
|
Restrict delete | ||
| m_loanproduct_provisioning_entry_ibfk_6 |
|
|
Restrict delete | ||
| m_loanproduct_provisioning_entry_ibfk_7 |
|
|
Restrict delete | ||
| m_share_product_ibfk_1 |
|
|
Restrict delete | ||
| m_share_product_ibfk_2 |
|
|
Restrict delete | ||
| FKDPRD00000000000001 |
|
|
Restrict delete | ||
| FK_m_charge_m_tax_group |
|
|
Restrict delete | ||
| FK_m_payment_detail_m_payment_types |
|
|
Restrict delete | ||
| FK_m_charge_acc_gl_account |
|
|
Restrict delete | ||
| FK_additional_details_repayment_schedule_id |
|
|
Restrict delete | ||
| FKSTAFF000000001 |
|
|
Restrict delete | ||
| FKGROUP000000001 |
|
|
Restrict delete | ||
| FKCLIENT00000001 |
|
|
Restrict delete | ||
| FKCAMPAIGN00000001 |
|
|
Restrict delete | ||
| m_loan_paid_in_advance_ibfk_1 |
|
|
Restrict delete | ||
| FKGLACC000000002 |
|
|
Restrict delete | ||
| FK_ACC_0000000001 |
|
|
Restrict delete | ||
| m_survey_scorecards_ibfk_2 |
|
|
Restrict delete | ||
| m_survey_scorecards_ibfk_3 |
|
|
Restrict delete | ||
| m_survey_scorecards_ibfk_4 |
|
|
Restrict delete | ||
| m_survey_scorecards_ibfk_5 |
|
|
Restrict delete | ||
| m_survey_scorecards_ibfk_1 |
|
|
Restrict delete | ||
| FK_c_external_service_properties_c_external_service |
|
|
Restrict delete | ||
| Parent_Id_reference |
|
|
Restrict delete | ||
| m_group_ibfk_1 |
|
|
Restrict delete | ||
| FK_m_group_m_staff |
|
|
Restrict delete | ||
| FK_m_group_level |
|
|
Restrict delete | ||
| FK_m_group_m_code |
|
|
Restrict delete | ||
| FK_m_teller_transactions_m_cashiers |
|
|
Cascade on delete | ||
| FKSAIRS00000000000001 |
|
|
Restrict delete | ||
| FK_M_LOAN_RATE_RATE |
|
|
Restrict delete | ||
| FK_M_LOAN_RATE_LOAN |
|
|
Restrict delete | ||
| FK_m_client_transfer_details_m_appuser |
|
|
Restrict delete | ||
| FK_m_client_transfer_details_m_office |
|
|
Restrict delete | ||
| FK_m_client_transfer_details_m_client |
|
|
Restrict delete | ||
| FK_m_client_transfer_details_m_office_2 |
|
|
Restrict delete | ||
| FK_mappings_m_loan_repayment_schedule |
|
|
Restrict delete | ||
| FK_mappings_m_loan_transaction |
|
|
Restrict delete | ||
| linked_loan_fk |
|
|
Restrict delete | ||
| account_association_loan_fk |
|
|
Restrict delete | ||
| account_association_savings_fk |
|
|
Restrict delete | ||
| linked_savings_fk |
|
|
Restrict delete | ||
| m_holiday_id_ibfk_1 |
|
|
Restrict delete | ||
| m_office_id_ibfk_2 |
|
|
Restrict delete | ||
| m_deposit_account_term_and_preclosure_ibfk_1 |
|
|
Restrict delete | ||
| FKDATP00000000000001 |
|
|
Restrict delete | ||
| fk_m_savings_officer_assignment_history_0001 |
|
|
Restrict delete | ||
| fk_m_savings_officer_assignment_history_0002 |
|
|
Restrict delete | ||
| FKCFCEA42640BE0710 |
|
|
Restrict delete | ||
| FK_m_loan_transaction_m_payment_detail |
|
|
Restrict delete | ||
| FK_m_loan_transaction_m_office |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_to_client |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_from_client |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_to_savings_account |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_to_loan_account |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_from_office |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_from_loan_account |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_to_office |
|
|
Restrict delete | ||
| FK_m_account_transfer_details_from_savings_account |
|
|
Restrict delete | ||
| FKSA00000000000002 |
|
|
Restrict delete | ||
| FKSA00000000000001 |
|
|
Restrict delete | ||
| FK_gsim_id |
|
|
Restrict delete | ||
| FK_savings_account_tax_group |
|
|
Restrict delete | ||
| FKSA00000000000003 |
|
|
Restrict delete | ||
| FK_collateral_code_value |
|
|
Restrict delete | ||
| FK_collateral_m_loan |
|
|
Restrict delete | ||
| FK_m_product_loan_m_product_loan_recalculation_details |
|
|
Restrict delete | ||
| FK_job_id |
|
|
Restrict delete | ||
| FK__rel_id_m_entity_relation_id |
|
|
Restrict delete | ||
| FK_m_share_account_dividend_details_account_id |
|
|
Restrict delete | ||
| FK_m_share_account_dividend_details_dividend_pay_out_id |
|
|
Restrict delete | ||
| SEFKGROUP000000001 |
|
|
Restrict delete | ||
| SEFKSTAFF000000001 |
|
|
Restrict delete | ||
| fk_schedule_email_campign1 |
|
|
Restrict delete | ||
| SEFKCLIENT00000001 |
|
|
Restrict delete | ||
| fk_report_parameter_002 |
|
|
Restrict delete | ||
| fk_report_parameter_001 |
|
|
Cascade on delete | ||
| FK_tax_group_createdby |
|
|
Restrict delete | ||
| FK_tax_group_lastmodifiedby |
|
|
Restrict delete | ||
| FK_m_tellers_gl_account_credit_account_id |
|
|
Restrict delete | ||
| FK_m_tellers_gl_account_debit_account_id |
|
|
Restrict delete | ||
| FK_m_tellers_m_office |
|
|
Restrict delete | ||
| FK7662CE59B4100309 |
|
|
Restrict delete | ||
| FK7662CE5915CEC7AB |
|
|
Restrict delete | ||
| fk_2fa_access_token_user_id |
|
|
Restrict delete | ||
| fkCurrencyCode |
|
|
Cascade on delete | ||
| FK_gsim_group_id |
|
|
Restrict delete | ||
| FK_m_interest_incentives_m_interest_rate_slab |
|
|
Restrict delete | ||
| m_loan_reschedule_request_ibfk_1 |
|
|
Restrict delete | ||
| m_loan_reschedule_request_ibfk_2 |
|
|
Restrict delete | ||
| m_loan_reschedule_request_ibfk_3 |
|
|
Restrict delete | ||
| m_loan_reschedule_request_ibfk_4 |
|
|
Restrict delete | ||
| m_loan_reschedule_request_ibfk_5 |
|
|
Restrict delete | ||
| FK_m_guarantor_m_code_value |
|
|
Restrict delete | ||
| FK_m_guarantor_m_loan |
|
|
Restrict delete | ||
| FK_m_account_transfer_standing_instructions_m_history |
|
|
Restrict delete | ||
| m_loan_topup_FK_closure_loan_id |
|
|
Restrict delete | ||
| m_loan_topup_FK_loan_id |
|
|
Restrict delete | ||
| m_loan_topup_FK_account_transfer_details_id |
|
|
Restrict delete | ||
| m_share_account_ibfk_2 |
|
|
Restrict delete | ||
| m_share_account_ibfk_1 |
|
|
Restrict delete | ||
| m_share_account_ibfk_4 |
|
|
Restrict delete | ||
| m_share_account_ibfk_3 |
|
|
Restrict delete | ||
| m_share_account_ibfk_6 |
|
|
Restrict delete | ||
| m_share_account_ibfk_5 |
|
|
Restrict delete | ||
| m_share_account_ibfk_8 |
|
|
Restrict delete | ||
| m_share_account_ibfk_7 |
|
|
Restrict delete | ||
| m_share_account_ibfk_9 |
|
|
Restrict delete | ||
| FK_x_code_id |
|
|
Restrict delete | ||
| FK__m_appuser__pocket |
|
|
Restrict delete | ||
| FK_m_loan_overdue_installment_charge_m_loan_repayment_schedule |
|
|
Restrict delete | ||
| FK_m_loan_overdue_installment_charge_m_loan_charge |
|
|
Restrict delete | ||
| FK_acc_gl_closure_m_appuser_2 |
|
|
Restrict delete | ||
| FK_acc_gl_closure_m_office |
|
|
Restrict delete | ||
| FK_acc_gl_closure_m_appuser |
|
|
Restrict delete | ||
| FK_m_loan_tranche_disbursement_charge_m_loan_charge |
|
|
Restrict delete | ||
| FK_m_loan_tranche_disbursement_charge_m_loan_disbursement_detail |
|
|
Restrict delete | ||
| m_report_mailing_job_ibfk_1 |
|
|
Restrict delete | ||
| m_report_mailing_job_ibfk_4 |
|
|
Restrict delete | ||
| m_report_mailing_job_ibfk_2 |
|
|
Restrict delete | ||
| m_report_mailing_job_ibfk_3 |
|
|
Restrict delete | ||
| FK1E37728B783C5C25 |
|
|
Restrict delete | ||
| FK1E37728B93C6C1B6 |
|
|
Restrict delete | ||
| FK_deposit_on_hold_transaction_m_savings_account |
|
|
Restrict delete | ||
| fk_hook_template_id |
|
|
Restrict delete | ||
| FK_m_savings_interest_incentives_m_savings_interest_rate_slab |
|
|
Restrict delete | ||
| fk_hook_id_cfg |
|
|
Restrict delete | ||
| FK_m_family_members_client_id_m_client |
|
|
Restrict delete | ||
| FK_m_family_members_marital_status_m_code_value |
|
|
Restrict delete | ||
| FK_m_family_members_relationship_m_code_value |
|
|
Restrict delete | ||
| FK_m_family_members_gender_m_code_value |
|
|
Restrict delete | ||
| FK_m_family_members_profession_m_code_value |
|
|
Restrict delete | ||
| fk_template_id |
|
|
Restrict delete | ||
| fk_ugd_template_id |
|
|
Restrict delete | ||
| FK_tax_component_history_lastmodifiedby |
|
|
Restrict delete | ||
| FK_tax_component_history_createdby |
|
|
Restrict delete | ||
| FK_tax_component_history_tax_component_id |
|
|
Restrict delete | ||
| m_loan_arrears_aging_ibfk_1 |
|
|
Restrict delete | ||
| FKDARD00000000000001 |
|
|
Restrict delete | ||
| fk_interop_identifier_account |
|
|
Restrict delete | ||
| m_share_product_charge_ibfk_1 |
|
|
Restrict delete | ||
| m_share_product_charge_ibfk_2 |
|
|
Restrict delete | ||
| FK_loan_disbursement_detail_loan_id |
|
|
Restrict delete | ||
| FK_grouprole_m_codevalue |
|
|
Restrict delete | ||
| FKGroupRoleGroupId |
|
|
Restrict delete | ||
| FKGroupRoleClientId |
|
|
Restrict delete | ||
| FK_loan_schedule_id_charge_schedule |
|
|
Restrict delete | ||
| FK_loan_charge_id_charge_schedule |
|
|
Restrict delete | ||
| FK_m_client_m_savings_product |
|
|
Restrict delete | ||
| FK_m_client_substatus_m_code_value |
|
|
Restrict delete | ||
| FK_m_client_m_staff |
|
|
Restrict delete | ||
| FK1_m_client_gender_m_code_value |
|
|
Restrict delete | ||
| FK_m_client_m_code |
|
|
Restrict delete | ||
| FK_m_client_m_image |
|
|
Restrict delete | ||
| FK_m_client_type_mcode_value_reject |
|
|
Restrict delete | ||
| FKCE00CAB3E0DD567A |
|
|
Restrict delete | ||
| FK_m_client_type_m_code_value_withdraw |
|
|
Restrict delete | ||
| FK_m_client_m_office |
|
|
Restrict delete | ||
| FK_m_client_classification_m_code_value |
|
|
Restrict delete | ||
| FK_m_client_type_m_code_value |
|
|
Restrict delete | ||
| FK_m_client_m_savings_account |
|
|
Restrict delete | ||
| fk_hook_idc |
|
|
Restrict delete | ||
| FK_M_PRODUCT_LOAN_RATE_LOAN |
|
|
Restrict delete | ||
| FK_M_PRODUCT_LOAN_RATE_RATE |
|
|
Restrict delete | ||
| FK_guarantor_transaction_guarantor_fund_detail |
|
|
Restrict delete | ||
| FK_guarantor_transaction_m_deposit_account_on_hold_transaction |
|
|
Restrict delete | ||
| FK_guarantor_transaction_m_loan_transaction |
|
|
Restrict delete | ||
| FK__m_savings_account_transaction |
|
|
Restrict delete | ||
| FK__m_savings_account_charge |
|
|
Restrict delete | ||
| m_provisioning_history_ibfk_1 |
|
|
Restrict delete | ||
| m_provisioning_history_ibfk_2 |
|
|
Restrict delete | ||
| FK_client_id |
|
|
Restrict delete | ||
| FK_m_guarantor_fund_details_account_associations_id |
|
|
Restrict delete | ||
| FK_m_guarantor_fund_details_m_guarantor |
|
|
Restrict delete | ||
| fkrepaymentwithpostdated |
|
|
Cascade on delete | ||
| fkloanrepayment |
|
|
Cascade on delete | ||
| FK_office_mapping_acc_gl_account |
|
|
Restrict delete | ||
| FK_acc_product_mapping_m_payment_type |
|
|
Restrict delete | ||
| FK_acc_product_mapping_m_charge |
|
|
Restrict delete | ||
| FK_savings_product_tax_group |
|
|
Restrict delete | ||
| m_loan_charge_ibfk_2 |
|
|
Restrict delete | ||
| m_loan_charge_ibfk_1 |
|
|
Restrict delete | ||
| FK_M_RATE_APPROVE_USER |
|
|
Restrict delete | ||
| FK_M_RATE_CREATE_USER |
|
|
Restrict delete | ||
| fk_stretchy_parameter_001 |
|
|
Restrict delete | ||
| FK_tax_component_credit_gl_account |
|
|
Restrict delete | ||
| FK_tax_component_debit_gl_account |
|
|
Restrict delete | ||
| FK_tax_component_createdby |
|
|
Restrict delete | ||
| FK_tax_component_lastmodifiedby |
|
|
Restrict delete | ||
| m_share_account_purchased_shares_ibfk_1 |
|
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Restrict delete | ||
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Check Constraints
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I'm Ferran Bertomeu Castells, you will also find me online as fonserbc. I'm currently in Taipei, Taiwan, where I will also answer to 斐浪.
I'm originally from Deltebre, a town in the middle of a beautiful delta, somewhere in-between Barcelona and Valencia.
This delta is unfortunately disappearing because of rising sea-levels and lack of sediments reaching the sea due to the Ebre's 200+ dams.
I grew up in fact in Sant Joan Despí, in the metropolitan area of Barcelona, but most of my weekends were spent in Deltebre where all my family is from.
I started my studies in Computer Science at the Facultat d'Informàtica de Barcelona, UPC.
I ended them in Kungliga Tekniska Högskolan in Stockholm, where I later worked as an intern at Goo Technologies' GooCreate.
I've helped with the organization of the Global Game Jam location in Barcelona for many years, as a member of the student association VGAFIB.
I've been working freelancing since 2015 doing game development and design for companies like 23Divide, Block Zero Games and Artist Arcade.
I've been involved in mobile-games development, publishing and XR/VR and webgl content with them. At Artist Arcade, we developed Disney SpellStruck for the Apple Arcade. I also worked on the publishing and porting of Punch Planet and Lifeslide to the Apple Arcade.
I lived in the Netherlands for 6 years until 2021. In Amsterdam is where I started the Off-Score Project alongside YenTing Lo 羅妍婷 and Vanja Mrgan.
Since I started working with YenTing, I've been interested in making games and interactive media that regard its music as more than just background music.
I've been living in Taiwan since June 2021.


Home
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Get Discounts On Mario, Animal Crossing And More In The Latest My Nintendo Rewards (Europe)
Dragon Quest, Kirby, more!
by Ryan CraddockThe latest batch of My Nintendo game discounts for Europe has now gone live, giving players the usual chance to grab a handful of games at reduced prices.
There are five discounts up for grabs this time around, all for the 3DS - as has been the case for a while now. As always, you can take advantage of these discounts by simply using the required Gold or Platinum My Nintendo Points listed below; New Super Mario Bros. 2 for just £19.99 and Animal Crossing: New Leaf for just £9.59 sound particularly tasty.
- [3DS] 50% off New Super Mario Bros. 2: 220 Gold Points
- [3DS] 30% off Dragon Quest VIII: Journey of the Cursed King: 300 Platinum Points
- [3DS] 40% off Animal Crossing: New Leaf: 80 Gold Points
- [3DS] 30% off Kirby Fighters Deluxe: 70 Platinum Points
- [3DS] 50% off Wario Land II (Virtual Console GBC): 25 Gold Points
Will you be taking advantage of any of these offers? Remember, your Gold Points can also be spent on Switch software directly from the eShop or a Nintendo Switch Online subscription, too.
[via my.nintendo.com]


An idea for this page
Here we want to collect information in English about places where you can climb in Rzeszów (Poland).
Indoor climbing
In Rzeszów there are four public open indoor climbing walls:
- Climbing Walls near Technical University
- Flywall Climbing Centre
- Peron Baltoro Climbing Centre
- Climbing wall near Rzeszów University
The climbing walls near Technical University (Politechnika Rzeszowska)
Technical University offers two climbing walls. Climbing walls have a dedicated website, where the main info is presented in English. The climbing walls you can find on Google Maps. Walls are open from October to June. During summer Holidays walls are generally closed. Exact days and hours are marked on the schedule. If the schedule is empty, walls are probably closed. Technical University offers two walls: small and big one. Small wall offers mostly top rope and lead climbing with rope but you can find also some place for bouldering. Big wall offers top rope, lead climbing and speed wall. Some wall related news (in PL) are presented on Twitter. If you didn't climb before consider climbing course as on the wall we assume that you climb before and you can belay.
FlyWall climbing centre
Flywall is the biggest climbing centre in Rzeszów. It offers traditional rope climbing and boulder wall. There are around 530 square meters of a big wall for rope climbing (both top rope and lead climbing). Wall is 11,5m high.  Boulder wall offers 230 square meters for climbing. There is also a fun climbing wall for kids and rope courses. The climbing wall offers courses, classes with an instructor and sections. Wall is placed on Siemieńskiego 14 street. More details you can find on wspinanie.rzeszow.pl or on flywall.pl.
Peron Baltoro Climbing Centre
Peron Baltoro climbing centre is the biggest boulder wall in Rzeszów. Here you can find wall website. The place can be found near Rzeszów main train station (Google Maps link). The location itself is also a source of the name - "peron" in Polish means "train platform" and "Baltoro" is taken from previous climbing centre wall name. Unfortunately, there is no English version of the website and it is not always up to date, so you should look for more details on Facebook. Peron Baltoro offers great bouldering possibilities and a lot of training accessories like Bachar ladder, campus or system wall. The climbing centre belongs to Rzeszów Mountaineering Club. Probably the most climatic place to climb in Rzeszów.
Climbing wall near Rzeszów University
The climbing wall has no webpage. For more info, you should visit Facebook. It's hard to say when the wall is open. The schedule is not published and you should probably ask using Facebook. Wall is generally vertical (no overhang) and offers rope climbing. Climbing wall on Google Maps.
Mistakes & updates
If you find any mistake or want propose update please let me know. Feel free to open issue for this repository.
Keep on climbing!


Here's one of Johnny's tunes, Skibadoodle, that was used for a trailer for the Tumbleweed Film Festival in 2014. MCO layed down the basic parts, then Robert Roth (guitar guru and general producer extraordinaire), added all kinds of crazy over-the-top awesomeness and polished up the tracks for the final piece.


Research and analysis
Generating new evidence about the impact on performance standards of statistically aligning subjects based on a Rasch analysis of subject difficulty.
Ref: Ofqual/15/5798 PDF , 4.47MB , 95 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
The study presented in this report aims to achieve the following objectives, to:
Results from Rasch analysis of GCSE and A level data from over a period of four years suggest that the standards of exams from different subjects are not consistent in terms of the levels of the latent trait specified in the Rasch model that is required to achieve the same grades.
There is considerable variability in statistical standards between subjects at both individual grade level and the overall subject level. Results from linear and multinomial logistic regression analyses based on prior attainment and concurrent performance also show substantial inter-subject variability in difficulty, in terms of the statistical model that has been specified. Although the difficulties derived using prior attainment are positively correlated with the difficulties derived using the Rasch model, the strength of the correlation is moderate for the mid-grades and weak for the bottom or top grade. The difficulties derived using the concurrent performance measure are highly correlated with the Rasch-model-derived difficulties.
Findings from this study are broadly consistent with those from studies reported by other researchers.
It has been demonstrated that the alignment of statistical standards between subjects based on comparisons using the Rasch model would result in a substantial change in grade distributions and a likely change in performance standards that are based on subject-specific grade criteria.


{%extends "base/page.html"%} {%block title%}Bug report{%endblock%} {%block contents%}
Your bug report has been received, and given id #{{bugid}}. It has been posted to the pgsql-bugs mailinglist and will show up there as soon as it has cleared the moderator queue.
{%endblock%}


---
layout: site
permalink: melbourne
location: University of Melbourne
dates: February 1-3, 2016
splashImage: https://farm1.staticflickr.com/681/22032155473_bca28567d4_z.jpg
map: sites/melbourne.geojson
registration: The registration process for the Research Bazaar conference in Melbourne is outlined below
regsteps:
- step: Fill out the ResBaz 2016 Global Pre-Assessment survey
- step: Fill in the ResBaz Melbourne registration form
- step: Wait for acceptance email and further instructions
- step: Fill in the eventbrite form to confirm your attendance and submit your poster profile (details will be in the acceptance email)
- step: Come and Enjoy ResBaz in 1-3 February 2016!
regschedule:
- date: 1 November
name: Applications go live (for ResBaz and instructor training)
- date: 16 December
name: Applications close
- date: 19 December
name: Offers made
- date: 7 January
name: Registrations close
- date: 21-22 January
name: Instructor training
- date: 22 January
name: Posters due
- date: 1-3 February
name: ResBaz
accommodation1: For the 2016 ResBaz Conference there may be some free camping available under the Research Bazaar Bedouin tents on the lawn. You'll need to bring your own sleeping bag, pillow, towel, and earplugs (for the snorers!). Showers will be available in a nearby campus building. Let us know if you're intereseted in camping out at ResBaz 2016 when you fill in your registration form.
accommodation2: If camping doesn't sound like your style, there are many alternative accommodation options close to the The University of Melbourne. For more information see here.
menu: The Research Bazaar is a (free-of-charge) 3-day intensive conference where researchers come together to up-skill in ‘next generation digital research tools and skills’. For more info see our FAQ.
Below are the tools on offer at Melbourne ResBaz 2016. If these sound perfect for you - sign up here. You can also meet our team of ResBaz instructors here.
trainers: If you think you've got what it takes to volunteer as a helper or trainer in one of these tools we'd love to hear from you! Please sign up here to be a helper or trainer (you'll also get a guaranteed spot at ResBaz, free t-shirts and our eternal gratitude).
In line with ResBaz 2016, we are also offering accreditation courses for Software Carpenty / Data Carpentry instructors. This course will run 21 - 22 Jan. If you're interested in being accredited please fill out this form - we'll be in touch!
classes:
- class: Main Streams
tools:
- name: MATLAB Data Analysis
id: mat
blurb: MATLAB is a powerful and versatile tool for data acquisition, analysis and visualisation. In this workshop, you’ll learn the basics of MATLAB for quick and effective data analysis. It covers all steps from reading in data, writing scripts and functions for basic analyses, and creating figures that can be shared and published.
- name: R Data Analysis
id: r
blurb: R is widely used across a range of disciplines for statistical computing and generating publication-quality figures. In this Software Carpentry workshop, you’ll learn the fundamentals of R for data science, Unix Shell for interacting with other programs, as well as version control and useful concepts for scientific computing such as breaking down problems into modular units, reproducibility, tracking changes to code, collaborating with others, and working with structured data.
- name: Python (via iPython) Data Analysis
id: py
blurb: Python is a powerful, general purpose programming language that has several popular scientific libraries that make it ideal for research. This workshop will equip you with the essential skills you need to use the Python programming language. It covers fundamentals as well as creating reusable functions, graphing with matplotlib and what to do to find and fix errors in your code.
- name: NLTK Natural Language Processing
id: nltk
blurb: Researchers are often confronted with natural language datasets so large that not even teams of researchers would be able to analyse by hand. (Even just reading through the 100 million word British National Corpus, for example, would take around 10,000 hours.) Python's Natural Language Toolkit (NLTK) provides a powerful means of investigating large bodies of text for patterns that may otherwise be very difficult to find. In this workshop, you’ll learn key concepts and practices in Corpus Linguistics/Distant Reading, investigate example datasets and strategies for implementing NLTK within your own research.
- name: AutoDesk 3D Printing
id: ad3d
blurb: Inventor 3D CAD software offers researchers an easy-to-use set of tools for 3D object design, documentation and product simulation. Digital prototyping with Inventor can help researchers design and validate physical concepts before they’re built. Turning ideas to reality with better research outcomes at reduced cost and lead-times. The training aims to teach basic principles in designing parts, assemblies, and drawings.
- name: 3D Slicer 3D Printing
id: 3ds
blurb: 3D Slicer (Slicer) is a free and open source software package for medical image analysis and scientific visualization. Slicer’s platform provides functionalities for segmentation, registration and three-dimensional visualization of multimodal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided radiation therapy. The training aims to teach basic principles in image processing, as well as techniques in extracting 3D models for bio-simulations and 3D printing.
- name: HTML, CSS, and JavaScript Web Development
id: web
blurb: HTML (the Hypertext Markup Language), CSS (Cascading Style Sheets), and JavaScript are the core tools for building web pages. In this workshop you'll learn the basics of structuring a website, and controlling how it looks and acts.
- name: D3 Data Visualization
id: d3
blurb: D3 is a JavaScript library for working with data and displaying it online. D3 helps you bring data to life using HTML, SVG, and CSS. This workshop will introduce you to the basics of using D3 to create beautiful, animated and interactive graphics out of your data. (This workshop requires beginner level HTML and CSS skills, plus experience in at least one programming language)
- name: CartoDB and TileMill (MapBox) Research Maps
id: map
blurb: CartoDB is a simple yet powerful tool that lets you visualise data onto maps. You’ll learn how to format data to make a map visualisation. We’ll explore the range of inbuilt features that CartoDB offers and how to start customising these tools to produce a map that communicates your research data through a narrative.
TileMill lets you create customised maps to display your research. In this workshop, you’ll learn about the art of cartography and the types of data that you can access and use in TileMill. We’ll introduce you to CartoCSS, so you can customise the appearance of your map and control the level of detail that appears and create a map that you’ll be proud to publish. CartoDB is recommended but not required for attending this workshop.
- class: Minor Streams and Electives
tools:
- name: Data Acquistion and Cleaning
id: daq
blurb: This stream will talk about how to get data using survey tools such as Google Forms (a free, web based tool created by Google to do web survey) and mobile data collection tools using Kobo Toolbox (a free web based and mobile based tool to do mobile data collection).
Following that, the stream will continue in using Open Refine (a free open source tool that can handle large amount of messy data) to clean up your messy data.
- name: 3D Modelling
id: 3Dmod
blurb: This stream contains TinkerCAD for 3D printing and drawing, Fusion 360 for 3D printing and drawing and MudBox for 3D painting and sculpting
- name: Psychopy
id: psypi
blurb: This elective will introduce Psychopy for the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments.
- name: Nectar
id: nct
blurb: Learn the basics of high performance computing
- name: LaTeX
id: ltx
blurb: Learn how to make your technical or scientific documents look brilliant with LaTeX typesetting.
- name: Omeka
id: omk
blurb: Learn how to use Omeka for image repositories
- name: Gephi
id: gph
blurb: Learn how to use Gephi for network visualization
- name: AURIN
id: aur
blurb: Learn AURIN for urban data collection
- name: REDCap
id: red
blurb: Learn REDCap for medical and clinical survey data
schedule: Each day at ResBaz will be split into daytime and evening events. The day will be dedicated to classroom teaching time where we will fill your brains with the latest digital research skills. The evening will be about networking with your fellow cross-disciplinary researchers and having fun.
During the day classes are broken into three 90 minute sessions, starting at 10.30 am, 1.30 pm and 3 pm. A detailed timetable will be displayed here once sessions are confirmed.
days:
- day: Monday February 1
sessions:
- title: session 1
- title: session 2
- title: session 3
- title: evening
- day: Tuesday February 2
sessions:
- title: session 1
- title: session 2
- title: session 3
- title: evening
- day: Wednesday February 3
sessions:
- title: session 1
- title: session 2
- title: session 3
- title: evening
speakers:
- name: Fiona Tweedie
img: img/fctweedie.jpg
blurb: Fiona is a Roman historian turned digital wizard for the humanities and social sciences.
- name: Ri Liu
img: img/riliu.jpg
blurb: Ri bridges the gap between design and science through her many data visualization projects.
- name: You!
img: img/speakerTBC.jpg
blurb: We want you to help lead a session. Let us know if you're interested when you register.
sponsors:
- name: 'Sponsor Number One'
img: fake-sponsor.png
- name: 'Sponsor Number Two'
img: fake-sponsor.png
- name: 'Sponsor Number Three'
img: fake-sponsor.png
---
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{{page.accommodation2}}


Volkswagen
Volkswagen Tiguan
The Volkswagen Tiguan is a compact crossover vehicle (CUV) manufactured by German automaker Volkswagen. Introduced in 2007, the first generation model uses the PQ46 platform of the B6 Generation Volkswagen Passat. All first generation (5N) Tiguans featured two row seating and transverse mounted four-cylinder engines.
Volkswagen Polo GT TSI
The Volkswagen Polo GT TSI comes with an in-line 4-cylinder 1.2-litre TSI petrol engine mated to a 7-speed DSG (dual-clutch) gearbox.  Volkswagen claims that the Polo GT TSI has a fuel efficiency of 17.21kmpl with a fuel tank of 45 litres.
Volkswagen Passat
Volkswagen has finally introduced their D-Segment offering, the Passat, in India at an introductory price of Rs 29.99 lakhs (ex-showroom Mumbai). The flagship sedan is offered in two trims – Comfortline and Highline with six colour options and a single powertrain. The third-generation Passat comes as a direct rival to the likes of Toyota Camry, Honda Accord, and its sibling, the Skoda Superb.


GETTYSBURG A film review by Mark R. Leeper Copyright 1993 Mark R. Leeper
Capsule review: This film of military history contains more authentic military history than any other film I have ever seen. The film itself is more than four hours and very little seems to be fiction. Perhaps a little is speculation, but the highest proportion of time is reenactment of the most important battle in United States history. Rating: +3 (-4 to +4)
As usual when I see an historical film, I will go home afterward and pick up many historical accounts of the event and pick holes in what I have seen on the screen. I have not yet read Shelby Foote's account of the battle of Gettysburg (which is about 120 pages), but I have read several shorter accounts. What I have discovered is that the film contradicts no account any more than the accounts contradict each other. And that is not surprising since by all accounts writer/director Ronald F. Maxwell, after basing his script on a Pulitzer Prize winning novel, THE KILLER ANGELS by Michael Shaara, allowed his small army of historical experts to be tyrants over the production of the film. What made it to the screen is what the experts agreed happened. What STAR WARS was to the special effects film, GETTYSBURG is to the historical film. Nobody who sees the film and later reads account of the battle can come away without the feeling of having witnessed the battle already and without remembering a flood of images from the film. As far as how well the actors look and dress like people of the Civil War the film gets an A+. For the degree to which each major actor looks like the actual person he is portraying the grade is a not-too-shabby B+. (The opening credits show the original and the actor and invite comparison.) Why not higher? Well for example at the time of his most familiar photographs, Lee had a fuller beard than Martin Sheen sports. That is the sort of variation you get. Of course nobody mentions how full Lee's beard was at the time of Gettysburg so perhaps I am underrating the film. But if I can find no less picayune quibble than the length of a beard in a 254-minute historical film, I am not just impressed, I am floored.
The actors are often familiar, if you can make them out under the heavy beards typical of the Civil War period. (The presence of women, incidentally, is limited to a count of two and a screentime of about six seconds.) But actors seem to be chosen more for proven acting ability than for marquee value. The players include Tom Berenger as Lt. Longstreet, Martin Sheen as Gen. Lee, Stephen Lang as Maj. Gen. Pickett, the late Richard Jordan as Brig. Gen. Armistead, Jeff Daniels as Col. Chamberlain, Sam Elliot as Brig. Gen. Buford, and Kevin Conway (whom I thought had been dead for at least a couple years) as the what I would guess was an interpolated character, Sgt. Buster Kilrain.
Gettysburg was the climax of the Civil War as Midway was the climax of the war in the Pacific. And I found myself comparing this film to the film MIDWAY as I watched it. MIDWAY is only five minutes longer than half of GETTYSBURG's length, yet for that film a whole fictional plot of "human interest" was added about an American commander's son in love with a Japanese-American woman. Apparently the filmmakers thought that so much history was too much for the viewer. In GETTYSBURG with the exception of a few conversations to broaden the characters, and a rhetorical speech added here and there, what we see is all documented history and ironically the film is more and not less compelling as a result.
From the point of view of the film five men were responsible for the South going from a winning war to a losing war with this one battle. For the North, Buford created the strategy and Chamberlain defended the weak flank. For the South, Jeb Stuart chose to raid rather then reconnoiter, Ewell failed to attack at a strategic moment, and Lee's ego told him to fight the battle even on the enemy's terms because winning would almost certainly bring the end of the war. Of these the most screen time is devoted to Chamberlain who, torn with self-doubt, shows himself to nonetheless represent both heroism and decency.
GETTYSBURG was reportedly made as a television mini-series and at some point was redirected to the big screen. It will certainly lose much of the impact of its huge cast when translated to the small screen. In incredible list of historical reenactment societies apparently volunteered to act as extras and to reenact the battle. The men participating in Pickett's charge form a very long wall that will not be nearly as impressive when the flanks are cut for television's aspect ratio. On the other hand, getting the film on video will allow the stopping of the film and reading from historical sources about the various actions being depicted.  The first source I saw that described the battle in any detail listed three important actions and they were exactly the ones chosen by the filmmakers. This engaging film is almost a textbook about the battle and because at the same time it is so enthralling, this is one of best and perhaps in some respects is the best historical feature film ever made. Nothing quite like this has ever been done at this length and done this elaborately, so it is all the more impressive. My rating is +3 on the -4 to +4 scale.
Mark R. Leeper att!mtgzfs3!leeper<EMAIL_ADDRESS>.
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The Civil Service Forum was founded, organized and established in September, 1914 by the Joint Council of New York City.
Fifty years later in September, 1964 the Executive Board of the Service Employees International Union granted their Charter.
The Charter was issued by authority of the Executive Board of the Service Employees International Union and granted to the
Civil Service Forum and their successor's power to be a Local Union of this International located in New York City, NY and
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Important events and information to remember about the union!
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| static TMP_Character | GetCharacterFromFontAsset (uint unicode, TMP_FontAsset sourceFontAsset, bool includeFallbacks, FontStyles fontStyle, FontWeight fontWeight, out bool isAlternativeTypeface, out TMP_FontAsset fontAsset) |
| | Returns the text element (character) for the given unicode value taking into consideration the requested font style and weight. Function searches the source font asset, its list of font assets assigned as alternative typefaces and potentially its fallbacks. The font asset out parameter contains a reference to the font asset containing the character. The typeface type indicates whether the returned font asset is the source font asset, an alternative typeface or fallback font asset. More...
|
| |
| static TMP_Character | GetCharacterFromFontAssets (uint unicode, List< TMP_FontAsset > fontAssets, bool includeFallbacks, FontStyles fontStyle, FontWeight fontWeight, out bool isAlternativeTypeface, out TMP_FontAsset fontAsset) |
| | Returns the text element (character) for the given unicode value taking into consideration the requested font style and weight. Function searches the provided list of font assets, the list of font assets assigned as alternative typefaces to them as well as their fallbacks. The font asset out parameter contains a reference to the font asset containing the character. The typeface type indicates whether the returned font asset is the source font asset, an alternative typeface or fallback font asset. More...
|
| |
| static bool | TryGetGlyphFromFontFile (uint glyphIndex, TMP_FontAsset fontAsset, out Glyph glyph) |
| |
◆ GetCharacterFromFontAsset()
Returns the text element (character) for the given unicode value taking into consideration the requested font style and weight. Function searches the source font asset, its list of font assets assigned as alternative typefaces and potentially its fallbacks. The font asset out parameter contains a reference to the font asset containing the character. The typeface type indicates whether the returned font asset is the source font asset, an alternative typeface or fallback font asset.
- Parameters
-
| unicode | The unicode value of the requested character |
| sourceFontAsset | The font asset to be searched |
| includeFallbacks | Include the fallback font assets in the search |
| fontStyle | The font style |
| fontWeight | The font weight |
| type | Indicates if the OUT font asset is an alternative typeface or fallback font asset |
| fontAsset | The font asset that contains the requested character |
- Returns
◆ GetCharacterFromFontAssets()
Returns the text element (character) for the given unicode value taking into consideration the requested font style and weight. Function searches the provided list of font assets, the list of font assets assigned as alternative typefaces to them as well as their fallbacks. The font asset out parameter contains a reference to the font asset containing the character. The typeface type indicates whether the returned font asset is the source font asset, an alternative typeface or fallback font asset.
- Parameters
-
| unicode | The unicode value of the requested character |
| fontAssets | The list of font assets to search |
| includeFallbacks | Determines if the fallback of each font assets on the list will be searched |
| fontStyle | The font style |
| fontWeight | The font weight |
| type | Determines if the OUT font asset is an alternative typeface or fallback font asset |
| fontAsset | The font asset that contains the requested character |
- Returns
◆ TryGetGlyphFromFontFile()
| static bool TMPro.TMP_FontAssetUtilities.TryGetGlyphFromFontFile |
( |
uint |
glyphIndex, |
|
|
TMP_FontAsset |
fontAsset, |
|
|
out Glyph |
glyph |
|
) |
| |
|
inlinestatic |
◆ instance
Get a singleton instance of the Font Asset Utilities class.
The documentation for this class was generated from the following file:


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build_experiment()
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Build the experiment files |
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build_resources()
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Build the resource file specification from a directory path |
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build_timeline()
|
Build a timeline from trials |
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display_if()
|
Modify a timeline to execute if a condition is met |
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display_while()
|
Modify a timeline to execute within a loop |
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download_googlecloud()
|
Download data from a jspsych experiment deployed on google cloud |
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download_webserver()
|
Download data from a jspsych experiment deployed on a webserver |
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fn_data_condition()
|
Return a javascript function that checks a data value |
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fn_sample()
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Return a javascript function that samples from an array |
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fullscreen()
|
Toggle fullscreen mode in the browser |
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insert_javascript()
|
Insert input as raw javascript |
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insert_property()
|
Insert a property to the jsPsych data store |
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insert_resource()
|
Insert input as path to a resource file |
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insert_variable()
|
Insert reference to a timeline variable |
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keycode()
|
Javascript key codes |
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pavlovia()
|
Communication with pavlovia.org |
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question_likert()
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Create a Likert question |
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question_multi()
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Create a multiple choice/select question |
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question_text()
|
Create a free text response question |
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respond_any_key()
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Response is accepted with any key press |
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respond_no_key()
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Response is not accepted for any key press |
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run_googlecloud()
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Deploy a jspsych experiment on google app engine |
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run_locally()
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Deploy a jspsych experiment locally |
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run_webserver()
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Deploy a jspsych experiment to a webserver |
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save_googlecloud()
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Return a javascript function to save data to Google datastore |
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save_locally()
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Return a javascript function to save data locally |
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save_webserver()
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Return a javascript function to save data via a script on the webserver |
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set_parameters()
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Modify a timeline to set parameter values |
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set_variables()
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Modify a timeline to set possible values for variables |
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temporary_folder()
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Creates a temporary folder |
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trial_animation()
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Specify an animation trial |
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trial_audio_button_response()
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Specify an audio trial with button response |
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trial_audio_keyboard_response()
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Specify an audio trial with keyboard response |
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trial_audio_slider_response()
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Specify an audio trial with slider bar response |
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trial_categorize_animation()
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Specify a categorization trial with an animated stimulus |
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trial_categorize_html()
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Specify a categorization trial with an HTML stimulus |
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trial_categorize_image()
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Specify a categorization trial with an image stimulus |
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trial_generic()
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Specify a trial using any plugin |
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trial_html_button_response()
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Specify an HTML trial with button response |
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trial_html_keyboard_response()
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Specify an HTML trial with keyboard response |
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trial_html_slider_response()
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Specify an HTML trial with slider bar response |
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trial_image_button_response()
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Specify an image trial with button response |
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trial_image_keyboard_response()
|
Specify an image trial with keyboard response |
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trial_image_slider_response()
|
Specify an image trial with slider bar response |
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trial_instructions()
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Specify pages of instructions to display |
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trial_survey_likert()
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Specify a survey page with Likert scale items |
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trial_survey_multi_choice()
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Specify a survey page with multiple choice items |
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trial_survey_multi_select()
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Specify a survey page with multiple selection items |
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trial_survey_text()
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Specify a survey page with free text responding |
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trial_video_button_response()
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Specify a video trial with button response |
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trial_video_keyboard_response()
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Specify a video trial with keyboard response |
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trial_video_slider_response()
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Specify a video trial with slider bar response |


My Favourite and I had a couple of days booked off work together. We're both into our legal highs (my own area of interest being very much geared towards sacred herbs), so we decided to acquire something a little bit special for our time together.
He mentioned an interest in Ololiuqui seeds. I did a lot of searching and reading, but information on these seeds is very thin on the ground. From what we could gather, their effects are similar to Morning Glory but without so many of the usual side effects of LSA (nausea being the big one). I did some further reading into the traditional and historic uses of the plant, which revealed that it has long been relied upon as something of a healer.
Still, though, we were very much in the dark about the practical aspects of the plant. How long it would take to kick in, how long it'd affect us for, and so on. We decided to try it nonetheless.
We ate a good breakfast that morning. At approximately midday, we went to a ruined castle where we each consumed 16 seeds. All we did in the way of preparation was crush them in a pestle and mortar with a splash of water, and then scooped them into our mouths. We chewed them thoroughly, then held them in out mouths for a good ten minutes. I held mine under my tongue. The flavour was bitter with a slightly sour edge, but also slightly nutty and not at all unpleasant. We then made our way to a nearby woodland for a long walk.
As we walked and waited for some kind of effect, we drank a litre of orange juice between us (vitamin C seems to aid in potentiating LSA). I experienced a little mild nausea, but it quickly passed. The first sign that something was slightly different was my greatly increased sensitivity to the temperature - the sun felt very warm and pleasant, but it kept disappearing behind the clouds which left me feeling very very cold indeed.
After about an hour, we decided to take a break from walking. We strayed off the path and sat ourselves on a conveniently placed fallen log to smoke a bowl of Spice (legal smoking blend containing Blue Lotus, Baybean, Lion's Tail and Dwarf Skullcap among other things - it produces a lovely mellow high, similar to cannabis but dreamier). As we smoked, we both noticed some interesting rippling ground effects. We finished our smoke and got up to continue walking.
Then it hit me. The speed at which the LSA took effect caught me completely off guard, and at first it was frightening. My short term memory was wiped out, I couldn't remember where we were supposed to be heading and I suddenly became very afraid that we'd get lost in the woods. I also started experiencing some interesting audio distortion, as well as numbness in my legs. We took a little time out to get to grips with all of this sudden new sensation and sat down.
After a couple of minutes, the confusion began to fade. I began to look at the world with a newfound sense of absolute wonder and astonishment. We were completely surrounded by nature, and everything was just so beautiful. All the life surrounding us took on a character of its own - the trees suddenly seemed like figures of strength and protection, and I took a lot of comfort from their presence. The ground continued to ripple and flow like water, and the sun broke through the clouds once more.
The effects of the LSA grew. At times, the confusion build back up and I began to get frightened again - each time it got to be a little too much I felt something wash over me, lifting the confusion. Every time it happened, I felt myself embraced by a feeling of utter joy and contentment. It was cleansing and refreshing. In time, the confusion stopped returning and I was able to surrender myself completely to all the new feelings I was experiencing.
We got up and continued to walk, stopping at some point to sit down and smoke some more Spice. As I stared at the leaf litter, I allowed my eyes to go out of focus. Immediately, the ground began to swirl and morph - first into an intricate pattern of interlocking swastikas, then as I fell deeper into a trance-like state the swastikas dissolved and I found myself falling into the Spiral. It was altogether too intense, and with a little concentration it was very easy to snap myself back to reality.
We held hands and hardly said a word, the silence was not in any way awkward. My audio hallucinations grew, I kept hearing a dog panting right behind us. Further on I also began to hear jungle noises - primarily monkeys. It was mildly entertaining.
At one point we were out in the open, looking over an open field lined by trees. At the end of it stood a tall monument, which is where we were heading next. I suddenly felt as though we'd wandered into Disney's version of Alice in Wonderland. We stopped to smoke another bowl and the sun came out. As I gazed towards our destination, it seemed like we were just looking at some beautiful painting or a theatre backdrop. It looked flat.
Walking down that field seemed to take days. My Favourite and I took turns to close our eyes whilst walking and let the other guide us. When I shut my eyes I was transported to another world entirely. I had the most incredible closed-eye visuals, but the physical sensations to go with them were shockingly real. At one point I was on a rollercoaster, stuck in an infinite loop-de-loop, and as I tried to explain precisely what I was seeing I found myself shouting to be heard above the roar of the wind and the noise of the ride. At another point I lost all sense of gravity, and felt myself lift from the ground. When it got too much, all I had to do to bring myself back was just open my eyes.
After a long sit down at the monument, we began to head back through the woods. By this point the audio hallucinations had calmed down, but I was still very very far from a normal state of mind. Everything looked so significant and symbolic and so very much alive. I felt as though our presence amongst the trees was welcome, even the branches reaching out over our heads seemed like they were offering us their protection. It was a truly humbling experience.
At one point, we paused to gaze out over a field of deer. Then My Favourite took me into his arms and gazed into my eyes. All I could think at that point was that I wanted to be with him forever, for all time, and in my head I found myself begging Him to let me be his for the rest of eternity.
Approximately five hours after eating the Ololiuqui seeds, we decided to smoke some 5x Salvia extract. We found ourselves somewhere quiet to sit, marvelled at the beauty of everything for a while, and then took the plunge. My Favourite went first having never had Salvia before. After a couple of good tokes, He was overcome by a laughing fit of gigantic proportions. In my own somewhat less-than-sober state I found his joy very infectious, and this led to a good ten minutes of us both howling with laughter.
After this it was my turn. I've not touched Salvia for nearly five years, due to the fact that the last few times I have done it has scared me half to death. However, with My Favourite by my side I felt completely safe. I took one deep drag, and held for as long as I could. Upon exhaling, nothing seemed to happen. My Favourite pointed to a cluster of trees he'd been staring at before he'd started laughing. 'Look over there,' he told me, 'then let it take you.'  I gazed around at everything and started to laugh harder than I've ever laughed in my whole life - not because anything was funny, but because I was so blissfully happy and couldn't find any other way to express it. This lasted for about ten minutes, possibly longer.
Something happened to my legs. I don't quite know what it was. I tried numerous times to explain it, getting as far as saying 'You know what it's like when there's treacle...” before losing it entirely and being swept up in another giggling fit. It occurred to me that I didn't need to explain, that EVERYBODY knows what it's like when there's treacle.
Eventually, having sat together watching the Sun sink lower and lower in the sky, we decided to tackle the final leg of the journey. Life retained a wonderfully surreal edge, though by this point I was mostly feeling quietly content – my body was tired, but satisfyingly so.
Apart from the tiredness one would expect from having taken such a long walk, there were no after-effects whatsoever. I slept remarkably well that night, and woke up feeling cheerful and refreshed.
The experience has opened my eyes. I find myself looking at nature with a refreshed sense of wonder. I feel as though we have stumbled upon a real treasure with Ololiuqui, and am very much looking forward to trying it again (possibly a higher dosage or attempting to combine it with different plants). It is most definitely a healer, but not in any way that I was expecting.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


The memr
(Multisource Embeddings for Medical Records) package in R allows for creating embeddings, i.e. vector representations, of medical free-text records written by doctors. It also provides a wide spectrum of tools to data visualization and medical visits’ segmentation. These tools aim to develop computer-supported medicine by facilitating medical data analysis and iterpretation. The package can be exploited for many applications like the recommendation prediction, patients’ clustering etc. that can aid doctors in their practice.
memr
is written in R and is based on the following packages:
To install memr
, simply type in an R console (after having installed the devtools
package, e.g. install.package('devtools')
):
devtools::install_git("https://github.com/MI2DataLab/memr")
We show the usage of the package on the example datasets. They are completely artificial, but their structure reflects a structure of the real data collected from Polish health centers. The results of the research on the real data are described in the paper Dobrakowski et al. (2019).
For every visit we can have some information about ICD-10 code of diagnosed disease, ID and specialty of the doctor:
knitr::kable(visits)
| visit_id | icd10 | doctor_id | specialties |
|---|---|---|---|
| 101 | J32 | 24 | endocrinologist, internist |
| 102 | Y52 | 26 | endocrinologist |
| 103 | X12 | 24 | endocrinologist, internist |
| 104 | Q29 | 24 | endocrinologist, internist |
| 105 | U46 | 26 | endocrinologist |
| 106 | U50 | 26 | endocrinologist |
| 107 | I58 | 25 | cardiologist, internist |
| 108 | C82 | 26 | endocrinologist |
| 109 | P73 | 24 | endocrinologist, internist |
| 110 | P66 | 26 | endocrinologist |
| 111 | U53 | 23 | ophthalmologist, endocrinologist |
For the visits we have also the descriptions of interview with the extracted medical terms:
knitr::kable(interviews)
| x | |
|---|---|
| 101 | fever, eye |
| 102 | cough, thyroid |
| 103 | fever, thyroid |
| 104 | fever, eye |
| 105 | cough, thyroid |
| 106 | cough, thyroid |
| 107 | cough, thyroid |
| 108 | rhinitis, eye |
| 109 | rhinitis, eye |
| 110 | rhinitis, thyroid |
Descriptions of examinations of patients:
knitr::kable(examinations)
| x | |
|---|---|
| 102 | mother, father, cough, eye |
| 103 | woman, father, rhinitis, thyroid |
| 104 | woman, father, fever, thyroid |
| 105 | mother, patient, rhinitis, eye |
| 106 | man, father, cough, heart |
| 107 | woman, father, fever, eye |
| 108 | woman, patient, rhinitis, thyroid |
| 109 | woman, patient, rhinitis, heart |
| 110 | woman, father, cough, heart |
| 111 | man, father, rhinitis, eye |
And descriptions of recommendations prescribed by doctors to the patients:
knitr::kable(recommendations)
| x | |
|---|---|
| 103 | hospital, endocrinologist |
| 104 | hospital, sleep, internist |
| 105 | hospital, internist |
| 106 | sleep, ophthalmologist |
| 107 | hospital, treatment, ophthalmologist |
| 108 | treatment, ophthalmologist |
| 109 | treatment, hospital, endocrinologist |
| 110 | hospital, sleep, cardiologist |
Each medical term has one or more categories:
knitr::kable(terms_categories)
| term | category |
|---|---|
| man | person |
| woman | person |
| mother | person |
| father | person |
| patient | person |
| cough | disease |
| rhinitis | disease |
| fever | disease |
| sleep | recommendation |
| healthy eating | recommendation |
| hospital | recommendation |
| treatment | recommendation |
| internist | specialty |
| cardiologist | specialty |
| ophthalmologist | specialty |
| endocrinologist | specialty |
| heart | anatomic |
| eye | anatomic |
| thyroid | anatomic |
Firstly we can compute embeddings:
embedding_size <- 5 interview_term_vectors <- embed_terms(merged_terms = interviews, embedding_size = embedding_size, term_count_min = 1L) #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 1, expected cost 0.1305 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 2, expected cost 0.0852 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 3, expected cost 0.0592 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 4, expected cost 0.0426 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 5, expected cost 0.0314 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 6, expected cost 0.0235 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 7, expected cost 0.0180 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 8, expected cost 0.0139 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 9, expected cost 0.0109 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 10, expected cost 0.0087 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 11, expected cost 0.0070 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 12, expected cost 0.0057 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 13, expected cost 0.0047 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 14, expected cost 0.0039 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 15, expected cost 0.0033 examination_term_vectors <- embed_terms(merged_terms = examinations, embedding_size = embedding_size, term_count_min = 1L) #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 1, expected cost 0.1059 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 2, expected cost 0.0510 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 3, expected cost 0.0315 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 4, expected cost 0.0225 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 5, expected cost 0.0178 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 6, expected cost 0.0149 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 7, expected cost 0.0131 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 8, expected cost 0.0117 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 9, expected cost 0.0107 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 10, expected cost 0.0099 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 11, expected cost 0.0093 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 12, expected cost 0.0087 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 13, expected cost 0.0082 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 14, expected cost 0.0078 #> INFO [2020-03-18 11:43:54] 2020-03-18 11:43:54 - epoch 15, expected cost 0.0074 knitr::kable(interview_term_vectors[1:5, ])
| rhinitis | -0.4704351 | 0.0315635 | 0.5707754 | 0.2680295 | 0.2400996 |
| fever | -0.3948241 | 0.3853350 | 0.5458298 | 0.2350670 | 0.4494087 |
| eye | 0.4959916 | 0.0223423 | -0.3431036 | -0.2673065 | -0.2371423 |
| cough | -0.0089209 | 0.3737412 | 0.0054367 | -0.6043935 | 0.4064513 |
| thyroid | -0.1455389 | -0.2107478 | -0.2871478 | -0.3121039 | -0.2287994 |
Terms from the chosen category can be visualized:
visualize_term_embeddings(terms_categories, interview_term_vectors, c("anatomic"), method = "PCA")
To validate the quality of embeddings we can perform the term analogy task (see more by ?analogy_task). The package delivers the analogy test set.
knitr::kable(evaluate_term_embeddings(examination_term_vectors, n = 5, terms_pairs_test))
| 1 | 2 | 3 | 4 | 5 | MEAN | |
|---|---|---|---|---|---|---|
| person | 0 | 0 | 0 | 0 | 0.5000000 | 0.1000000 |
| spec | 0 | 0 | 0 | 0 | 0.0000000 | 0.0000000 |
| synonym | 0 | 0 | 0 | 0 | 0.5000000 | 0.1000000 |
| MEAN | 0 | 0 | 0 | 0 | 0.3333333 | 0.0666667 |
For each type of analogy we compute the mean accuracy.
Analogies can be plotted to see if the connection lines are parallel:
visualize_analogies(examination_term_vectors, terms_pairs_test$person, find_analogies = TRUE, n = 10)
Having the embeddings of terms, we can compute embeddings of visits:
visits_vectors <- embed_list_visits(interviews, examinations, interview_term_vectors, examination_term_vectors) knitr::kable(visits_vectors[1:5, ])
| 101 | 0.0505837 | 0.2038387 | 0.1013631 | -0.0161198 | 0.1061332 | NA | NA | NA | NA | NA |
| 102 | -0.0772299 | 0.0814967 | -0.1408555 | -0.4582487 | 0.0888259 | 0.1106313 | -0.1679365 | -0.0600053 | 0.1011591 | 0.0932502 |
| 103 | -0.2701815 | 0.0872936 | 0.1293410 | -0.0385184 | 0.1103047 | 0.1915759 | 0.1393210 | -0.0021371 | 0.0500974 | 0.1605039 |
| 104 | 0.0505837 | 0.2038387 | 0.1013631 | -0.0161198 | 0.1061332 | 0.1695910 | 0.1284853 | 0.0011363 | -0.0126280 | -0.0033302 |
| 105 | -0.0772299 | 0.0814967 | -0.1408555 | -0.4582487 | 0.0888259 | 0.0037491 | -0.0883031 | -0.0408950 | 0.1075936 | 0.0625818 |
And now we can visualize the visits on the plot and color by the doctors’ IDs:
visualize_visit_embeddings(visits_vectors, visits, color_by = "doctor", spec = "internist")
or by ICD-10 code:
visualize_visit_embeddings(visits_vectors, visits, color_by = "icd10", spec = "internist")
On the visits’ embeddings we can run the k-means algorithm:
clusters <- cluster_visits(visits_vectors, visits, spec = "internist", cluster_number = 2)
and plot the clusters:
visualize_visit_embeddings(visits_vectors, visits, color_by = "cluster", spec = "internist", clusters = clusters)
For every cluster we can see the most frequent recommendations from chosen categories:
rec_tables <- get_cluster_recommendations(recommendations, clusters, category = "recommendation", recom_table = terms_categories) rec_tables #> [[1]] #> # A tibble: 3 x 3 #> recommendation count frequency #> <fct> <int> <dbl> #> 1 hospital 3 0.75 #> 2 sleep 1 0.25 #> 3 treatment 1 0.25 #> #> [[2]] #> # A tibble: 2 x 3 #> recommendation count frequency #> <fct> <int> <dbl> #> 1 hospital 1 1 #> 2 treatment 1 1
or from all categories:
rec_tables <- get_cluster_recommendations(recommendations, clusters, category = "all") rec_tables #> [[1]] #> # A tibble: 5 x 3 #> recommendation count frequency #> <fct> <int> <dbl> #> 1 hospital 3 0.75 #> 2 endocrinologist 2 0.5 #> 3 internist 1 0.25 #> 4 sleep 1 0.25 #> 5 treatment 1 0.25 #> #> [[2]] #> # A tibble: 3 x 3 #> recommendation count frequency #> <fct> <int> <dbl> #> 1 hospital 1 1 #> 2 ophthalmologist 1 1 #> 3 treatment 1 1
If we have a new visit, we can assign it to the most appropriate cluster:
inter_descr <- paste("cough", sep = ", ") exam_descr <- paste("fever", sep = ", ") visit_description <- c(inter_descr, exam_descr) names(visit_description) <- c("inter", "exam") cl <- assign_visit_to_cluster(visit_description, clusters, interview_term_vectors, examination_term_vectors) cl #> $cl #> 1 #> 1 #> #> $distances #> 1 2 #> 0.07533538 0.24136356
As the last nice thing we can see the embeddings of ICD-10 codes:
visualize_icd10(visits_vectors, visits)
The package was created during the research financially supported by the Polish Centre for Research and Development (Grant POIR.01.01.01-00-0328/17).
Dobrakowski, Adam, Agnieszka Mykowiecka, Małgorzata Marciniak, Wojciech Jaworski, and Przemysław Biecek. 2019. “Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings.” arXiv Preprint arXiv:1907.04152. https://arxiv.org/abs/1907.04152.


--- layout: post status: publish published: true title: 'Podcast #11 - 6/08/2009' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 964 wordpress_url: http://ivyenvy.com/?p=964 date: '2009-06-08 20:45:52 +0000' date_gmt: '2009-06-09 02:45:52 +0000' categories: - Podcast tags: - Podcast comments: - id: 262 author: J. Baxter Graf author_email<EMAIL_ADDRESS>author_url: '' date: '2009-06-09 23:06:45 +0000' date_gmt: '2009-06-10 05:06:45 +0000' content: I can't hear it. It's too quiet. - id: 263 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-06-10 05:35:33 +0000' date_gmt: '2009-06-10 11:35:33 +0000' content: "Jason could give a real answer, but I think it's because there was so much yelling and \"peaking\" or whatever, when you normalize the file, it keeps the overall volume pretty low.\r\n\r\nIt would be our faults, not Jason's." ---
***Warning. This is not your usual Ivy Envy podcast***
We mix things up a little bit for this episode. In other words, get ready for a shit-storm. Jeremiah Weed Bourbon, 40's of malt liquor and Jose Cuervo fuel the episode. If you are offended by swears, skip the episode. The fun-loving spirit fades away as things turn quite serious towards the end.
Those in attendance: Corey, Andy, Kurt and Paul


Lisa J. Ling (born August 30, 1973) is an American journalist, television presenter, and author. She is currently the host of This Is Life with Lisa Ling on CNN. She is the former host of Our America with Lisa Ling on OWN: The Oprah Winfrey Network, former co-host of ABC's The View (from 1999–2002), host of National Geographic Explorer, reporter on Channel One News, and special correspondent for The Oprah Winfrey Show and CNN. She was the host of reality television show The Job. Ling is the older sister of journalist Laura Ling.


Full Stack Web Development
Let me help your business succeed
I am on an unending quest for knowledge and making others' lives
easier.
Head over to the contact page to send your interview
request.
Here are some of the projects I've been working on lately.
Click any of them to view their repos in my Github!
I am on an unending quest for knowledge and making others' lives
easier.
Head over to the contact page to send your interview
request.


The security server maintains an access control list for the master/slave nodes and all the users information. The access control list decides which node can join the Sector system as a master or slave node. The user information includes user account, password, access IP control, and file IO permission.
master_acl.conf
The "master_acl.conf" file includes a list of IP addresses (e.g., <IP_ADDRESS>) or IP address ranges (e.g., <IP_ADDRESS>/24) from which a computer can join the Sector system as a master server. Each line represents only one address or one address range. The address range is represented by bit mask. That is, <IP_ADDRESS>/24 means <IP_ADDRESS> - <IP_ADDRESS>. By default, any node (<IP_ADDRESS>/0) can join the system as a master.
slave_acl.conf
The slave access control list has exactly the same format as master_acl.conf, except that its information is stored in slave_acl.conf.
User Accounts
The user account information is stored in $SECTOR_HOME/conf/users. Information about each user is stored in one text file. For example, information of user "test" is stored in $SECTOR_HOME/conf/users/test.
Currently the account information is only stored in clear text. We plan to encrypt them in future releases. The "PASSWORD" section is the user's password in clear text. The "READ_PERMISSION" lists files or directories that the user can read, one per line. Similarly, the "WRITE_PERMISSION" is a list of files or directories that the user can write. The "EXEC_PERMISSION" is a TRUE or FALSE value that indicates if the user can run Sphere applications. The "ACL" lists IP addresses or IP address ranges from which the user can login, one per line. Finally, a quota of disk space usage can be applied to a user. The quota includes the total size of the writable files or directories of the user, without counting the replicas.
In the configuration file, the option value must be preceded by a "TAB" character. The "#" character can be used for comment lines.


{{> header}}
Form doesn't exist or already submitted. Check the process status page for more details.


—
| Version Notes |
{{ version.release_notes|nl2br }}
|
|---|---|
| Notes for Reviewers |
{{ version.approval_notes|urlize(100)|nl2br }}
|
| Not Auto Approved Because |
{% if auto_approval_info[version.pk] %}
|
| This version has not been reviewed. |


Routing
Fuel's routing can range from simple static routes to advanced routes using HTTP verb based routing.
Routes are set in fuel/app/config/routes.php.
Reserved Routes
In Fuel there are 2 reserved routes. They are _root_ and _404_.
- _root_ - The default route when no URI is specified.
- _404_ - The route used when no controller or action can be found, can also be used as a catch-all route.
return array(
'_root_' => 'welcome/index',
'_404_' => 'welcome/404',
);
Basic Routing
The route on the left is matched the request URI and if it is matched then the request is routed to the URI on the right.
This allows you to do things like the following:
return array(
'about' => 'site/about',
'contact' => 'contact/form',
'admin' => 'admin/login',
);
Slightly Advanced Routing
You can include any regex into your routes. The left side is matched against the requests URI, and the right side is the replacement for the left, so you can use backreferences in the right side from the regex on the left. There are also a few special statements that allow you match anything, or just a segment:
- :any - This matches anything from that point on in the URI
- :segment - This matches only 1 segment in the URI, but that segment can be anything
Here are some examples:
return array(
'blog/(:any)' => 'blog/entry/$1', // Routes /blog/entry_name to /blog/entry/entry_name
'(:segment)/about' => 'site/about/$1', // Routes /en/about to /site/about/en
);
Advanced Routing
You can also have named parameters in your routes. This allows you to give your URI segments names, which can then be accessed from within your actions.
Example:
return array(
'blog/:year/:month/:id' => 'blog/entry', // Routes /blog/2010/11/entry_name to /blog/entry
);
In the above example it would catch the following /blog/2010/11/entry_name. It would then route that request to your 'entry' action in your 'blog' controller. There, the named params will be available like this:
$this->param('year');
$this->param('month');
$this->param('id');
HTTP verb based routing
You can route your URLs to controllers and actions based on the HTTP verb used to call them. This makes it quick and easy to make RESTful controllers.
Example:
return array(
// Routes GET /blog to /blog/all and POST /blog to /blog/create
'blog' => array(array('GET', new Route('blog/all')), array('POST', new Route('blog/create'))),
);
You can use named parameters and regexes within your URL just like normal:
return array(
'blog/(:any)' => array(array('GET', new Route('blog/show/$1'))),
);


|
Bullet Collision Detection & Physics Library
|
#include <btSoftBody.h>
Public Attributes | |
| btSoftBody * | body |
| eFeature::_ | feature |
| soft body More... | |
| int | index |
| feature type More... | |
| btScalar | fraction |
| feature index More... | |
Definition at line 190 of file btSoftBody.h.
| btSoftBody* btSoftBody::sRayCast::body |
Definition at line 192 of file btSoftBody.h.
| eFeature::_ btSoftBody::sRayCast::feature |
soft body
Definition at line 193 of file btSoftBody.h.
| btScalar btSoftBody::sRayCast::fraction |
feature index
Definition at line 195 of file btSoftBody.h.
| int btSoftBody::sRayCast::index |
feature type
Definition at line 194 of file btSoftBody.h.


--- tags: - contour - dem - elevation - hillshade - lidar - topography author: display_name: Rick Kelson email<EMAIL_ADDRESS>date: 2014-04-01 17:06:47 -0600 title: Exploring LiDAR categories: [] ---
Light Detection and Ranging elevation data is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light pulses from a laser and measuring the time and intensity of the pulse return to the sensor. Laser pulses from the sensor can exceed 150,000 pulses per second. Aircraft position (X,Y,Z) is measured twice a second while aircraft attitude (pitch, roll, yaw) is measured 200 times per second. Currently this is the most accurate type of elevation data available. There are two main types of LiDAR collections, Terrestrial and Airborne. Airborne LiDAR is most commonly used and available from UGRC.
UGRC Utah LiDAR applications video from UGRC on Vimeo.
Bare-Earth Digital Elevation Models (DTM) and First-Return Digital Surface Models (DSM) are commonly used raster products derived from LiDAR point cloud collections. Bare-Earth DEMs have had features above the ground filtered out and are what is typically used for floodplain and hydro-logic modeling. First-return (highest-hit) raster products model a surface but retain the features above the ground such as buildings, utilities, other manmade structures and vegetation.
LiDAR point clouds can be classified so that each point in the cloud is designated a land cover type (ex. ground, water, road, building, vegetation, etc.). The vendor for the 2013-2014 Wasatch Front LiDAR project, Watershed Sciences Inc. (WSI) now a Quantum Spatial company, has provided the following samples that show some of what can be done with the collected LiDAR data. Please note that while the sample data below contains LAS point cloud data that are fully classified, the point clouds delivered for the project only has the following classifications (including intensity, return number, and RGB values), yet further classification of the point cloud is possible:
| Code | Description |
| 1 | Processed, but unclassified |
| 2 | Bare-earth ground |
| 7 | Noise |
| 9 | Water |
| 10 | Ignored Ground (Breakline proximity) |
| 11 | Withheld |
LiDAR collections, derivative products and analytics are numerous and can include:
* - products delivered for the 2013-2014 Wasatch Front project
If you are a CAD / Microstation user you may need to convert the ERDAS Imagine format .img
files into a
different file format such as .tif
or .las
. A web search for AutoCad and .img
will produce helpful results or search user forums. You will find discussions about converting the .img
format to a format you can use. There are many tools that can convert the files - FW Tools and ER Viewer (free), QGIS (free),
Global Mapper (trial version), MyGeodata Cloud, and ArcMap to name a few.
{% include contact.html subject=page.title contact=site.data.contacts.elevation %}


This webpage displays some rough forecasts of hourly electricty prices for the next week, based on expected demand, wind and solar generation. I have also included the day ahead half-hourly prices (averaged to hourly) once these are known and have been imported.
{retail}
It should be noted that future wind generation and resulting prices are likely to be significantly different than those forecast.
I have described the methodology used in a bit more detail in this blog post. You can also see the code for this model on github


| Contents | Previous | Next | Java Management Extensions (JMX) Technology Overview |
The Java Management Extensions Instrument and Agent Specification defines the concept of connectors. A connector makes a Java Management Extensions (JMX) API MBean server accessible to remote Java technology-based clients. The client end of a connector exports essentially the same interface as the MBean server.
A connector consists of a connector client and a connector server. A connector server is attached to an MBean server and listens for connection requests from clients. A connector client is responsible for establishing a connection with the connector server. A connector client will usually be in a different Java Virtual Machine (JVM) from the connector server, and will often be running on a different machine.
Many different implementations of connectors are possible. In particular, there are many possibilities for the protocol used to communicate over a connection between client and server.
A connector server usually has an address, used to establish connections between connector clients and the connector server. Alternatively, some connectors can provide connection stubs to establish connections. The way in which connections are established depends on the discovery and lookup technology that you use (see Chapter 6, "Discovery and Lookup Services").
This chapter outlines the different types of connector defined by the JMX Remote API specification and the protocols they use, in the following sections:
The JMX Remote API standard defines a standard protocol based on RMI. The RMI connector must be present in every implementation of the JMX Remote API.
RMI defines two standard transports, the Java Remote Method Protocol (JRMP) and the Internet Inter-ORB Protocol (IIOP). The RMI connector supports both transports.
The RMI connector over JRMP provides a simple mechanism for securing and authenticating the connection between a client and a server. This mechanism provides a basic level of security for environments using the RMI connector. Note that the generic JMXMP connector provides a more advanced level of security.
You can improve on the basic security mechanism of the RMI connector over JRMP by using an RMI socket factory so that the connection between client and server uses the Secure Socket Layer (SSL).
An optional part of the JMX Remote API, not included in the J2SE platform, is a generic connector. This connector can be configured by adding pluggable modules to define the following:
The JMX Messaging Protocol (JMXMP) connector is a configuration of the generic connector where the transport protocol is based on TCP and the object wrapping is native Java serialization. Security is more advanced than for the RMI connector. Security is based on the Java Secure Socket Extension (JSSE), the Java Authentication and Authorization Service (JAAS), and the Simple Authentication and Security Layer (SASL).
The generic connector and its JMXMP configuration are optional, which means that they are not always included in an implementation of the JMX Remote API. The J2SE platform does not include the optional generic connector.
http://java.sun.com/products/JavaManagement/download.html
, and add the jmxremote_optional.jar
file to your classpath. You will find examples of use of the JMXMP connectors in the JMX Remote API Tutorial included with the JSR 160 Reference Implementation.
While the RMI connector must be present in every implementation of the JMX Remote API, you can also implement a connector based on a protocol that is not defined in the JMX Remote API standard. A typical example of this is a connector based on a protocol that uses HTTP/S. Other protocols are also possible.
The Java Management Extensions Remote API 1.0 Specification describes how to implement a connector based on a user-defined protocol.
| Contents | Previous | Next |
Java Management Extensions (JMX) Technology Overview Java Management Extensions (JMX), Java 2 Platform Standard Edition 5.0 |
Copyright © 2004 Sun Microsystems, Inc. All rights reserved.


{% extends "base_content.html" %} {% load i18n %} {% block content %}
| {% trans "Agree"%} | {% trans "Blank" %} | {% trans "Disagree" %} | {% trans "Total" %} |
|---|---|---|---|
| {{n_agree}} | {{n_blank}} | {{n_disagree}} | {{n_total_intersection}} |
| {% trans "You disagree about" %} | {% trans "Your Vote" %} | {% for issue, vote in disagree_issues %}
|---|---|
| {{issue.title|capfirst}} | {% trans vote %} |
| {% trans "You agree about" %} | {% trans "Your Vote" %} | {% for issue, vote in agree_issues %}
|---|---|
| {{issue.title|capfirst}} | {% trans vote %} |
| {% trans "On of you voted blank" %} | {% trans "Your Vote" %} | {% for issue, vote in blank_issues %}
|---|---|
| {{issue.title|capfirst }} | {% trans vote %} |
{% trans "Every member who is active citizen or better can vote on one person. Persons with the most votes will get into the parliament."%}
{% if actions.vote_user %} {% else %}{% trans "you cannot vote on a user yet" %}
{% endif %}{% if followers %}
{% for candidate in followers %}
{{ candidate.user.username }}
{% endfor %}
{% else %} {% trans "nobody's candidate" %}
{% endif %}


We are you. We are human beings – from all corners of the country and abroad, of all age groups, from all walks of life. And we are concerned about the future of our planet, for the sake of our children, our species, and all life on this planet.
Our government is failing to act on the ongoing ecological crisis. We feel that we have a moral duty to rebel, no matter our political backgrounds, because this world needs ACTION NOW.
History shows that peaceful civil disobedience is an effective way to bring about political and social change. Together we can build a world that meets the challenge of this climate crisis, finds the will and the means to transition to a sustainable society. We believe that such a sustainable future includes everybody; that it takes all members of society sharing in hope and access to decision-making to steer our future course well.
Join us and rebel for life.
We are facing an unprecedented global emergency. Our political leaders are failing us, protecting industry profits over people. We, the people, no longer accept this. We demand change, at the scale of the crisis that we face.
We are the first generation to clearly see the impacts of climate change and most likely the last one being able to do something against it. Now more than ever before it is time to act, to Rebel for Life. Our survival will take everything we’ve got.
We are facing an unprecedented global emergency. Our political leaders are failing us, protecting industry profits over people. We, the people, no longer accept this. We demand change, at the scale of the crisis that we face.
We are the first generation to clearly see the impacts of climate change and most likely the last one being able to do something against it. Now more than ever before it is time to act, to Rebel for Life. Our survival will take everything we’ve got.


Global fossil CO2 emissions are projected to decline by about 7% in 2020, based on the median of four different estimates.
The 2020 projections are based on preliminary data and modelling, and are the median of the four studies.
Sources: CDIAC; Friedlingstein et al 2020; Global Carbon Budget 2020
Allocating fossil CO2 emissions to consumption provides an alternative perspective.USA and EU28 are net importers of embodied emissions, China and India are net exporters.
Consumption-based emissions are calculated by adjusting the standard production-based emissions to account for international trade Source: Peters et al 2011; Friedlingstein et al 2020; Global Carbon Project 2019
Allocating fossil CO2 emissions to consumption provides an alternative perspective.USA and EU28 are net importers of embodied emissions, China and India are net exporters.
Consumption-based emissions are calculated by adjusting the standard production-based emissions to account for international trade Source: Peters et al 2011; Friedlingstein et al 2020; Global Carbon Project 2019
Allocating fossil CO2 emissions to consumption provides an alternative perspective.USA and EU28 are net importers of embodied emissions, China and India are net exporters.
Consumption-based emissions are calculated by adjusting the standard production-based emissions to account for international trade Source: Peters et al 2011; Friedlingstein et al 2020; Global Carbon Project 2019
Allocating fossil CO2 emissions to consumption provides an alternative perspective.USA and EU28 are net importers of embodied emissions, China and India are net exporters.
Consumption-based emissions are calculated by adjusting the standard production-based emissions to account for international trade Source: Peters et al 2011; Friedlingstein et al 2020; Global Carbon Project 2019
Allocating fossil CO2 emissions to consumption provides an alternative perspective.USA and EU28 are net importers of embodied emissions, China and India are net exporters.
Consumption-based emissions are calculated by adjusting the standard production-based emissions to account for international trade Source: Peters et al 2011; Friedlingstein et al 2020; Global Carbon Project 2019


Badger Daylighting insiders buy after bad news
by Ted DixonWe don’t like to see insiders selling after bad news as it raises the question of whether more bad news might be on the way. Ideally, we want to see insider buying as that suggests market reaction may be overdone and that the depressed stock price could represent a buying opportunity. This is what we have seen at Badger Daylighting Ltd. after the company lowered 2019 adjusted EBITDA guidance on Nov. 5. Insiders have spent $1.2-million buying shares in the public market since the bad news was announced.
Ted Dixon is CEO of INK Research which provides insider news and knowledge to investors. For more background on insider reporting in Canada, visit the FAQ section at www.inkresearch.com. Securities referenced in this profile may have already appeared in recent reports distributed to INK subscribers. INK staff may also hold a position in profiled securities.
Chart reflects public-market transactions of common shares or unit trusts by company officers and directors.


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