HL7 FHIR® UK Core
4.0.0 - CI Build
HL7 FHIR® UK Core - Local Development build (v4.0.0). See the Directory of published versions
Contents:
This page provides a list of the FHIR artifacts defined as part of this implementation guide.
These define constraints on FHIR resources that need to be complied with by conformant implementations
| UKCoreDocumentReference | Defines the UK Core constraints and extensions on the DocumentReference resource. |
| UKCoreServiceRequest | Defines the UK Core constraints and extensions on the ServiceRequest resource for the minimal set of data to query and retrieve service request information. |
| UKCoreProcedure | Defines the UK Core constraints and extensions on the Procedure resource for the minimal set of data to query and retrieve the patient’s procedure information. |
| UKCoreLocation | Defines the UK Core constraints and extensions on the Location resource for the minimal set of data to query and retrieve location information. |
| UKCorePractitioner | Defines the UK Core constraints and extensions on the Practitioner resource for the minimal set of data to query and retrieve practitioner information. |
| UKCoreImmunization | Defines the UK Core constraints and extensions on the Immunization resource for the minimal set of data to query and retrieve an individual’s immunisation information. |
| UKCoreCareTeam | Defines the UK Core constraints and extensions on the CareTeam resource for the minimal set of data to query and retrieve an individual’s care team. |
| UKCoreCondition | Defines the UK Core constraints and extensions on the Condition resource for the minimal set of data to query and retrieve problems and health concerns information. |
| UKCoreList | Defines the UK Core constraints and extensions on the List resource for the minimal set of data to query and retrieve a list of information. |
| UKCoreMedicationRequest | Defines the UK Core constraints and extensions on the MedicationRequest resource for the minimal set of data to query and retrieve prescription information. |
| UKCoreEncounter | Defines the UK Core constraints and extensions on the Encounter resource for the minimal set of data to query and retrieve encounter information. |
| UKCoreObservation | Defines the UK Core constraints and extensions on the observation resource for the minimal set of data to query and retrieve generic observation information. |
| UKCorePractitionerRole | Defines the UK Core constraints and extensions on the PractitionerRole resource for the minimal set of data to query and retrieve practitioner role information. |
| UKCorePatient | Defines the UK Core constraints and extensions on the Patient resource for the minimal set of data to query and retrieve an individual’s demographic information. |
| UKCoreMedicationStatement | Defines the UK Core constraints and extensions on the MedicationStatement resource for the minimal set of data to query and retrieve medication statement information. |
| UKCoreMedication | Defines the UK Core constraints and extensions on the Medication resource for the minimal set of data to query and retrieve medication information. |
| UKCoreAllergyIntolerance | Defines the UK Core constraints and extensions on the AllergyIntolerance resource for the minimal set of data to query and retrieve allergy information. |
| UKCoreOrganization | Defines the UK Core constraints and extensions on the Organization resource for the minimal set of data to query and retrieve organisation information. |
| UKCoreRelatedPerson | Defines the UK Core constraints and extensions on the RelatedPerson resource for the minimal set of data to query and retrieve related person information. |
| UKCoreSpecimen | Defines the UK Core constraints and extensions on the Specimen resource for the minimal set of data to query and retrieve specimen information. |
| UKCoreCarePlan | Defines the UK Core constraints and extensions on the CarePlan resource for the minimal set of data to query and retrieve a patient’s Care Plan. |
| UKCoreDiagnosticReport | Defines the UK Core constraints and extensions on the DiagnosticReport resource for the minimal set of data to query and retrieve diagnostic report information. |
| UKCoreMedicationDispense | Defines the UK Core constraints and extensions on the MedicationDispense resource for the minimal set of data to query and retrieve dispensed medication information. |
These define constraints on FHIR data types that need to be complied with by conformant implementations
| ExtensionUKCoreAdmissionMethod | An extension to support the method by which an individual was admitted into hospital. |
| ExtensionUKCoreAddressKey | To support recording of Address Keys within addresses |
| ExtensionUKCoreEmergencyCareDischargeStatus | An extension to support the status of an individual on discharge from an Emergency Care Department. |
| ExtensionUKCoreMainLocation | An extension to support a reference to the main location for an organisation. |
| ExtensionUKCoreCopyCorrespondenceIndicator | To indicate correspondence must be copied to the contact or RelatedPerson |
| ExtensionUKCoreMedicationStatementLastIssueDate | |
| ExtensionUKCoreParentPresent | This Extension resource is constrained to indicate whether a parent was present at the Immunization. |
| ExtensionUKCoreDischargeMethod | An extension to support the method of discharge from a hospital. |
| ExtensionUKCoreContactRank | Extension UK Core ContactRank |
| ExtensionUKCoreMedicationDosageLastChanged | |
| ExtensionUKCoreVaccinationProcedure | An extension to hold an immunization procedure code. |
| ExtensionUKCoreContactPreference | UKCore Contact preferences for Patient, Patient.contact or RelatedPerson |
| ExtensionUKCoreAnaestheticIssues | An extension to support recording of details of any adverse reaction to any anaesthetic agents including local anaesthesia and problematic intubation, transfusion reaction, etc. |
| ExtensionUKCoreEffectivePeriod | To record effective start and end dates |
| ExtensionUKCoreEncounterTransport | An extension to support the transport used by the individual who is the subject of an encounter. |
| ExtensionUKCoreMedicationChangeSummary | |
| ExtensionUKCoreReligiousAffiliation | An extension to support the religious affiliation of an individual. |
| ExtensionUKCoreMedicationRepeatInformation | Indicates the specific repeat information of a medication item. |
| ExtensionUKCoreAllergyIntoleranceEnd | An extension to support the date and/or reason that the allergy or intolerance was no longer valid. |
| ExtensionUKCoreEvidence | An extension to support a reference to results of investigations that confirmed the certainty of the diagnosis. Examples might include results of skin prick allergy tests. |
| ExtensionUKCoreListWarningCode | An extension to support warnings that a list may be incomplete as data has been excluded due to confidentiality or may be missing due to data being in transit. |
| ExtensionUKCorePrescriptionType | To record the type of prescription. |
| ExtensionUKCoreResidentialStatus | An extension to support the residential status of an individual. |
| ExtensionUKCoreMedicationQuantityText | This Extension resource is constrained to support the textual representation of a medication structured quantity. |
| ExtensionUKCoreDeathNotificationStatus | An extension to support death notification for an individual. For example, as held on Personal Demographics Service (PDS). |
| ExtensionUKCoreOutcomeOfAttendance | An extension to support the outcome of an Outpatient attendance. |
| ExtensionUKCoreTreatmentCategory | An extension to support an individual’s treatment category. |
| ExtensionUKCoreNominatedPharmacy | An extension to support an individual’s nominated pharmacy. |
| ExtensionUKCoreNHSCommunication | An extension to support the communication preferences for an individual. |
| ExtensionUKCoreNHSNumberVerificationStatus | An extension to support the verification status of an NHS number. |
| ExtensionUKCoreEthnicCategory | An extension to support the ethnic category of an individual. |
| ExtensionUKCoreClinicalSetting | An extension to support the clinical setting associated with a list. |
| ExtensionUKCoreConditionEpisode | An extension to support the episodicity status of a condition. |
| ExtensionUKCoreMedicationPrescribingAgency |
These define sets of codes used by systems conforming with this implementation guide
| UKCoreBodySite | A code from the SNOMED Clinical Terminology UK with the expression (<<442083009 |anatomical or acquired body structure|). |
| UKCoreConditionCategory | A ValueSet to identify the category of a condition. |
| UKCoreConditionEpisodicity | A ValueSet to identify the episodicity of a condition. |
| UKCoreLanguageAbilityMode | A ValueSet that identifies the mode the patient can communicate in, representing the method of expression of the language. |
| UKCoreVaccinationProcedure | A code from the SNOMED Clinical Terminology UK coding system to record a vaccination procedure. |
| NHSDataModelandDictionaryDischargeMethod | The method of discharge from a Hospital Provider Spell. |
| UKCoreProcedureCode | A code from the SNOMED Clinical Terminology UK with the expression (<<71388002 |Procedure|<<129125009 |Procedure with explicit context|). |
| NHSDataModelandDictionaryPersonMaritalStatusCode | An indicator to identify the legal marital status of a Person. |
| UKCorePreferredWrittenCommunicationFormat | A ValueSet to identify the preferred written communication format of a Patient, contact or RelatedPerson. |
| UKCoreAllergyManifestation | A code from the SNOMED Clinical Terminology UK hierarchy with concept id '404684003' to record an allergy manifestation or a value from the HL7 FHIR nullFlavors code system. |
| UKCoreReasonImmunizationNotAdministered | A ValueSet to identify the reason why an immunization was not administered. |
| UKCoreListCode | A ValueSet to identify the purpose of a list. |
| UKCoreNHSNumberVerificationStatus | A ValueSet that identifies the trace status of the NHS number. The CodeSystem is comprised of codes from the NHS Data Model and Dictionary: NHS Number Status Indicator Code. |
| UKCoreMedicationDosageRoute | A code from the SNOMED Clinical Terminology UK coding system that describes the e-Prescribing route of administration. Any code from the SNOMED CT UK 'NHS e-Prescribing route of administration subset' with subset original id<PHONE_NUMBER>1137; the corresponding SNOMED CT UK Refset FSN is 'ePrescribing route of administration simple reference set (foundation metadata concept)' with Refset Id<PHONE_NUMBER>00001100. |
| UKCoreMedicationForm | A code from the SNOMED Clinical Terminology UK coding system that describes a medication dose form. |
| NHSDataModelandDictionaryDischargeDestination | The destination of a Patient on completion of a Hospital Provider Spell, or a note that the Patient died or was a still birth. |
| UKCoreListEmptyReasonCode | A ValueSet to identify the reason a list may be empty. |
| UKCoreDocumentType | A code from the SNOMED Clinical Terminology UK coding system that describes a clinical document type. |
| UKCoreResidentialStatus | A ValueSet that identifies the residential status of a patient. |
| UKCoreHumanLanguage | A ValueSet that identifies the language used by a person. |
| UKCoreAllergyCertainty | A code from the SNOMED Clinical Terminology UK coding system that describes the certainty of an allergy. |
| NHSDataModelandDictionaryAdmissionMethod | The method of admission to a Hospital Provider Spell. |
| NHSDataModelandDictionarySourceOfAdmission | The source of admission to a Hospital Provider Spell or a Nursing Episode when the Patient is in a Hospital Site or a Care Home. |
| UKCoreSpecimenType | A code from the SNOMED Clinical Terminology UK coding system to record a specimen type. |
| UKCoreEthnicCategory | A ValueSet to identify the ethnicity of a Person, as specified by the Person. This vocabulary describes a person's ethnic category, it is an extension of the Ethnic Category Code described in the NHS Data Model and Dictionary. |
| UKCoreMedicationSupplyType | A ValueSet to identify the type of medication supply. |
| UKCoreTreatmentCategory | A ValueSet that identifies the treatment category for a patient. |
| UKCorePrescriptionType | A ValueSet to identify the type of prescription. |
| UKCoreListWarningCode | A ValueSet to identify the reason a list may be incomplete. |
| UKCoreConditionCode | A code from the SNOMED Clinical Terminology UK with the expression (< 404684003 |Clinical finding| OR < 413350009 |Finding with explicit context| OR < 272379006 |Event|). |
| UKCoreDeathNotificationStatus | A ValueSet to identify the type of death notice as held on Personal Demographics Service (PDS). |
| NHSDataModelandDictionaryPersonStatedGenderCode | The gender of a Person. Person Stated Gender Code is self declared or inferred by observation for those unable to declare their Person Stated Gender. |
| UKCoreConditionEpisode | A code from the SNOMED Clinical Terminology UK coding system that describes the episodicity of a Condition. |
| UKCoreEncounterType | A code from the SNOMED Clinical Terminology UK coding system that describes an encounter between a care professional and the patient (or patient's record). |
| UKCoreFindingCode | A code from the SNOMED Clinical Terminology UK coding system to record a finding code. |
| UKCoreObservationType | A code from the SNOMED Clinical Terminology UK with the expression (<<363787002 | Observable entity|). |
| UKCoreReportCodeSnCT | A code from the SNOMED Clinical Terminology UK coding system that describes a diagnostic report. |
| UKCoreAllergyExposureRoute | A code from the SNOMED Clinical Terminology UK coding system that describes the e-Prescribing route of administration. Any code from the SNOMED CT UK 'NHS e-Prescribing route of administration subset' with subset original id<PHONE_NUMBER>1137; the corresponding SNOMED CT UK Refset FSN is 'ePrescribing route of administration simple reference set (foundation metadata concept)' with Refset Id<PHONE_NUMBER>00001100. |
| UKCoreAllergyCode | A code from the SNOMED Clinical Terminology UK with the expression (<105590001 |Substance OR <373873005 |Pharmaceutical / biologic product| OR <716186003 |No known allergy| OR<PHONE_NUMBER>00101 |Transfer-degraded drug allergy| OR<PHONE_NUMBER>00108 |Transfer-degraded non-drug allergy), or a code from the v3 Code System NullFlavor specifying why a valid value is not present. |
| UKCoreCareSettingType | A code from the SNOMED Clinical Terminology UK coding system that describes a correspondence care setting type. Any code from the SNOMED CT UK 'Correspondence Care setting type' subset with subset original id<PHONE_NUMBER>0130; the corresponding SNOMED CT UK Refset fully specified name is 'Correspondence care setting type simple reference set (foundation metadata concept)' with Refset Id<PHONE_NUMBER>00000107 |
| UKCoreEmergencyCareDischargeStatus | A code from the SNOMED Clinical Terminology UK coding system that describes the status of the Patient on discharge from an Emergency Care Department. Captures whether treatment took place within the ED, if the patient was streamed to another service or if the patient left before treatment was complete. Any code from the SNOMED CT UK 'Emergency care discharge status' subset with subset original id<PHONE_NUMBER>0135; the corresponding SNOMED CT UK Refset fully specified name is 'Emergency care discharge status simple reference set (foundation metadata concept)' with Refset Id<PHONE_NUMBER>00000104. |
| UKCoreAllergySeverity | A code from the SNOMED Clinical Terminology UK coding system that describes the severity of an allergy. |
| UKCoreMedicationCode | A code from the SNOMED Clinical Terminology UK coding system to identify the medication. |
| UKCoreAddressKeyType | A ValueSet to identify the type of Address Key recorded. |
| UKCoreLanguageAbilityProficiency | A ValueSet to identify the level of proficiency in communicating a language. |
| UKCoreSpecimenBodySite | A code from the SNOMED Clinical Terminology UK coding system to record a specimen body site. |
| UKCoreSDSJobRoleName | A ValueSet that identifies the job role associated with the person on the smart card. This consists of a set of Role Based Access Control (RBAC) codes. This code list is externally maintained. |
| UKCoreImmunizationExplanationReason | A code from the SNOMED Clinical Terminology UK coding system that represents the clinical indication or reason for administering the vaccine. |
| UKCorePreferredContactMethod | A ValueSet to identify the preferred Contact Method of a Patient, contact or RelatedPerson. |
| NHSDataModelandDictionaryOutcomeOfAttendance | This records the outcome of an Out-Patient Attendance Consultant. |
| UKCoreVaccineCode | A code from the SNOMED Clinical Terminology UK coding system to record a vaccine or a null flavor value. |
| UKCoreReligiousAffiliation | A code from the SNOMED Clinical Terminology UK coding system that describes the religious or other belief system affiliation of a person. Any code from the SNOMED CT UK 'Religious Affiliation SnCT' subset with subset original id<PHONE_NUMBER>0130; the corresponding SNOMED CT UK Refset fully specified name is 'Religious or other belief system affiliation simple reference set (foundation metadata concept)' with Refset Id<PHONE_NUMBER>00000100. |
These define new code systems used by systems conforming with this implementation guide
| UKCoreListWarningCode | A CodeSystem to identify the reason a list may be incomplete. |
| UKCorePreferredWrittenCommunicationFormat | A CodeSystem to identify the preferred written communication format of a Patient, contact or RelatedPerson. |
| NHSDataModelandDictionaryPersonStatedGenderCode | The gender of a Person. Person Stated Gender Code is self declared or inferred by observation for those unable to declare their Person Stated Gender. |
| NHSDataModelandDictionarySourceOfAdmission | The source of admission to a Hospital Provider Spell or a Nursing Episode when the Patient is in a Hospital Site or a Care Home. |
| NHSDataModelandDictionaryDischargeDestination | The destination of a Patient on completion of a Hospital Provider Spell, or a note that the Patient died or was a still birth. |
| UKCoreMedicationSupplyType | A CodeSystem to identify the type of medication supply. |
| UKCoreLanguageAbilityProficiency | A CodeSystem to identify the level of proficiency in communicating a language. |
| NHSDataModelandDictionaryAdmissionMethod | The method of admission to a Hospital Provider Spell. |
| UKCoreDeathNotificationStatus | A CodeSystem to identify the type of death notice as held on Personal Demographics Service (PDS). |
| NHSDataModelandDictionaryPersonMaritalStatusCode | An indicator to identify the legal marital status of a Person. |
| NHSDataModelandDictionaryDischargeMethod | The method of discharge from a Hospital Provider Spell. |
| UKCoreResidentialStatus | A CodeSystem that identifies the residential status of a patient. |
| UKCoreSDSJobRoleName | A CodeSystem that identifies the job role associated with the person on the smart card. This consists of a set of Role Based Access Control (RBAC) codes. This code list is externally maintained. |
| UKCoreAdditionalRelatedPersonRole | A CodeSystem to identify the additional relationship roles for RelatedPerson resources. |
| UKCoreConditionEpisodicity | A CodeSystem to identify the episodicity of a condition. |
| UKCoreListEmptyReasonCode | A CodeSystem to identify the reason a list may be empty. |
| UKCoreNHSNumberVerificationStatus | A CodeSystem that identifies the trace status of the NHS number. This CodeSystem is comprised of codes from the NHS Data Model and Dictionary: NHS Number Status Indicator Code. |
| UKCorePreferredContactMethod | A CodeSystem to identify the preferred Contact Method of a Patient, contact or RelatedPerson. |
| UKCoreTreatmentCategory | A CodeSystem that identifies the treatment category for a patient. |
| UKCoreAddressKeyType | A CodeSystem to identify the type of Address Key recorded. |
| UKCoreEthnicCategory | A CodeSystem to identify the ethnicity of a Person, as specified by the Person. This vocabulary describes a persons ethnic category, it is an extension of the Ethnic Category Code described in the NHS Data Model and Dictionary. |
| UKCoreLanguageAbilityMode | A CodeSystem that identifies the mode the patient can communicate in, representing the method of expression of the language. |
| UKCoreHumanLanguage | A CodeSystem that identifies the language used by a person. |
| UKCoreConsentUpdateMode | A CodeSystem to identify the whether this is the original or an amended resource. |
| UKCorePrescriptionType | A CodeSystem to identify the type of prescription. |
| NHSDataModelandDictionaryOutcomeofAttendance | This records the outcome of an Out-Patient Attendance Consultant. |
These define transformations to convert between codes by systems conforming with this implementation guide
| ConceptMapUKCoreAllergySeverity | A Concept Map from the HL7 FHIR ValueSet Reaction Event Severity to Allergy Severity to aid interpretation. |
| ConceptMapUKCoreAdministrativeGender | A Concept Map from ValueSet Administrative Gender to NHS Data Dictionary Person Stated Gender to aid interpretation. |
| ConceptMapUKCoreConditionEpisodicity | A Concept Map from ValueSet Condition Episodicity Severity to equivalent Snomed CT codes |
| ConceptMapUKCoreMaritalStatus | A Concept Map from ValueSet Marital Status to NHS Data Dictionary Person Marital Status to aid interpretation. |
| ConceptMapUKCoreAllergyVerificationStatus | A Concept Map from the HL7 FHIR ValueSet Allergy Verification Status to Allergy Certainity to aid interpretation. |
These are example instances that show what data produced and consumed by systems conforming with this implementation guide might look like


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The following table lists the result of MS1 analysis for molecules in this dataset. Click the links in the Name column for more information on that molecule, including associated Mass2Motifs that explain the features of the spectra.
| Name | p-Value | Fold Change |
|---|---|---|
| {{res.document}} | {{res.pValue}} | {{res.foldChange}} |
The following table lists the result of MS1 analysis for Mass2Motifs in this dataset. Click the links in the Name column for more information on that Mass2Motif.
| Name | Plage p-value | Plage t-value |
|---|---|---|
| {{res.mass2motif}} | {{res.plage_p_value}} | {{res.plage_t_value}} |


I was 18 years old and living in Senegal, Africa. Some native friends, knowing of my occasional marijuana and LSD use at the time, urged me to try an amazing plant that “grew in the cemetery”. However, some people warned me that the plant, which they called Kubijara, was extremely dangerous. I pretty much dismissed these warnings, figuring that “they had never done acid”. This was a mistake.
One night an acquaintance dropped by my apartment (my parents’ apartment), which was on the 18th floor. He had a pod and leaves from the plant. I figured we should just make a tea out of both, so we did. I drank about a cup, mixed with instant coffee. This was probably about 8 p.m. He left, not having drunk any.
I can’t remember the period of time after I ingested the drug, but the next thing I remember is answering the door and seeing two very grotesque monsters come into the apartment. In reality, it was my sister and her boyfriend. I had no idea I was hallucinating, unlike acid, where I'm aware of reality. I was completely unaware of reality for the next 24 hours. I was awake all night, seeing armies of insects on the kitchen floor, playing poker with people who were not there and having long conversations with dwarves under my bedclothes. This was not in the least funny. It was the scariest thing that has ever happened to me. I only recall bits and pieces of the night, but the parts that I recall are terrifying. I remember looking in the bathroom mirror and seeing that my pupils filled my entire iris, with no color left over at all. I had a conversation with the person in the mirror, not realizing it was me.
I could not urinate, even though I desperately had to. My mouth was dryer than Death Valley. I remember awaking my mother at dawn by standing at her bedside and asking if we were going to the Montreal Olympics that year. The rest of the day was a nightmare. I was continually drawn to the balcony, and when I looked over at the streets I kept seeing horrible car crashes. I could clearly see the cars crashing and hear the noise they made, plus the screams of the injured. Then planes started to crash. I saw people flying outside the balcony.
Friends came and went during the day and they were all extremely alarmed at my behavior. Someone watched me carefully all day. It was only towards the next evening that I began to realise that I had done a drug and that nothing I had seen had been real.
I believe I was a hair’s breadth away from seizures and possibly death. I do not recommend any experiments with this drug whatsoever.
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.


WITNESS LIST
Public Health Committee
May 1, 2013 - 8:00 AM
For:
Ansley, Tracy (Self)
Bass, David (Self)
Bass, David (Self; Texas NORML)
Betzen, Bill (Self)
Betzen, Stephen (Self)
Boyd, Sara (Self)
Davis, Louis (Self)
Deuvall, Clifford (Self; Veterans for medical cannabis access , NORML of Waco Inc.)
Dorval, Frank (Self)
Finkel, Jaclyn (Self)
Green, Kelly (Self)
Kenyon, Joseph (Self)
kenyon, Joseph (Self)
Lee, Ann (Self)
Lopez, Vincent (Self)
Mills, Toni (Self)
Munoz-davis, Mary (Self)
Ptak, Joseph (Self; Texans Smart on Crime)
Rightmire, Joshua (Self)
Shah, Neeraj (Self)
Stefanoff, Jeff (Self)
Stringer (Normal)
Stringer, James (Self)
Whiteley, Nishi (Self)
Womack, Richard (Self; Norml)
On:
Robinson, Mari (Texas Medical Board)
Registering, but not testifying:
For:
Ansley, David (Self)
Ansley, Micheal (Self)
Bernhardt, Richard (Self)
Brinkerhoff, Heidi (Self; Norml)
Cazalas, Christopher (Self; Norml)
Cuccurullo, Dante (Self)
Cuccurullo, Jennifer (Self)
Fazio, Heather (Self; Texans for Accountable Government)
Fowler, Amy (Self)
Gonzales, Patricia (Self; William C. Velasquez Institute)
Gregminster, Leigh (Self)
1
WITNESS LIST
For:
Hansch, Greg (Self)
Heinemann, CJ (Self)
Howe, Chris (Self)
Ishcomer, Robert (Self)
Jeschke, Kelly (Self)
Johnson, Laurie (Self)
King, Brandi (Self)
Malone, Bridget (Self)
Milam, Melissa (Self)
Romero, Jesse (Self; William C. Velasquez Institute)
Schimberg, Josh (Self)
Schimberg, Leah (Self)
Stringer, Catherine (Self)
Taylor, Patricia (Self)
Thomas, Jay (Self)
Van lowe, John (Self)
Wallgren, James (Self)
Weldon, Cheyanne (Self)
Williams, Betty (Self)
Willmann, James (Texas Nurses Association)
On:
Schalchlin, Corwin (Texas Department of Public Safety)
For:
Green, Kelly (Self; Nnoc)
Miller, Kelly (Self; Nnoc)
Velez, Luis (Self; Texasnnoc/nnu)
Against:
Sjoberg, Elizabeth (Texas Hospital Association)
Zolnierek, Cindy (Self; Texas Nurses Association)
Registering, but not testifying:
For:
Littles,, Paula (Self; Texas nnoc/nnu)
Rogers, Julie (Self; Texas nnoc/nnu)
Against:
Cooper, Kevin (Texas Nurse Practitioners)
Finley, Marisa (Scott & White Center for Healthcare Policy)
McBeath, Don (Texas Organization of Rural & Community Hospitals)
Mitias, Marcus (Texas Health Resources)
Smith, Andrew (University Health System)
Warner, Freddy (Memorial Hermann Health System)
2
WITNESS LIST
On:
Jakovich, Derek (Texas department of state health services)
For:
Spiller, Lee (Citizens Commission on Human Rights)
Thomas, Anthony (Self)
Registering, but not testifying:
For:
Alexander, Troy (Texas Medical Association)
Finch, Dan (Texas Medical Association)
Fredriksen, Amanda (AARP)
Ligon, Katharine (Center for Public Policy Priorities)
Switzer, Gyl (Mental health america of texas)
On:
Jakovich, Derek (Texas department of state health services)
For:
Feist, Steven (Logisticare)
Marsh, David (CARTS)
Against:
Arjona, David (Self; APA)
Betancourt, TC (Self)
Camacho, Javier (Self; Apa)
Diaz, Mateo (Self)
Galvan, Leticia (Self; Apa)
Garza, Bernice (Self; APA)
Garza, Mario (Self; Apa)
Hernandez, Angela (Self; APA)
Martinez, Noel (Self; Apa)
Pena, Iliana (Self; Apa)
Zarate, Ofilia (Self; Apa)
On:
Byler, Brent (Lefleur transportation)
Byler, Brent (Self)
Registering, but not testifying:
For:
Calvert, Jess (Texas Dental Association)
Carroll, Kate (Acadian Ambulance, Inc)
Chatham, Donna (Association of Rural Communities in Texas)
Connett, Brent (Texas Conservative Coalition)
Conradt, Trish (Coalition for Nurses in Advanced Practice)
3
WITNESS LIST
For:
Gilmore, Scott (Self; Texas Transit Association)
Hawkins, Omega (STAR Transit)
Heckler, Jeff (Texoma Area Paratransit Services)
Heckler, Jeff (Sparton Transit - Lubbock)
Hench, Marina (Texas Association for Home Care and Hospice)
McBeth, John (Self; Brazos transit district)
Mintz, David (Texas Academy of General Dentistry)
Montes, Asbel (Acadian Ambulance Service)
Nelson, Lyle (CARTS)
Raines, Stephen (Preferred Care Partners)
Rudd, Jim (Texas Society of Oral Maxillofacial Surgeons)
Rudd, Tyler (Texas Academy of Pediatric Dentistry)
Salinas, Nelson (Texas Association of Business)
Spiller, Lee (Citizens Commission on Human Rights)
Trimble, Kevin (Self; Flower mound fire dept)
Wait, Dudley (Self; City of Schertz EMS)
Warlick, Carole (Self; Hill Country Transit/Texas Transit Association)
Zavadsky, Matthew (Self; MedStar EMS, Dallas Fire Rescue and others)
Against:
Galvan, Ramon (Self; Apa)
Matos, Eduardo (Self; APA)
Navarro, Juan (Self; Apa)
Saldivar, Maria (Self; APA)
On:
Ghahremani, Kay (HHSC Resource)
Jakovich, Derek (Texas department of state health services)
Robinson, Mari (Texas Medical Board)
Samsel, Rachel (Department of State Health Services)
Traylor, Chris (HHSC Resource)
Wilson, Douglas (HHSC Resource)
Winter, Raymond (Office of the Attorney General)
For:
Castle, Danette (Texas Council of Community Centers)
Gray, Anna (Self; Texas Catalyst for Empowerment)
Hedgcock, David (Providence Service Corporation)
Jensen, Greg (Lone Star Circle of Care)
Johnson, Dan (Pathways)
Paleo, Janet (Texas Council of Community Centers)
On:
Hansch, Greg (Self; National Alliance on Mental Illness (NAMI) Texas)
4
WITNESS LIST
Registering, but not testifying:
For:
Bearden, Chase (Coalition of Texans with Disabilities)
Connett, Brent (Texas Conservative Coalition)
Garnett, Susan (MHMR of Tarrant County)
Gonzalez, Leah (The National Association of Social Workers Texas Chapter)
Kenderdine, Marshall (Texas Pediatric Society)
Ligon, Katharine (Center for Public Policy Priorities)
Romero, Michelle (Texas Medical Association)
Salinas, Nelson (Texas Association of Business)
Switzer, Gyl (Mental health america of texas)
Against:
Spiller, Lee (Citizens Commission on Human Rights)
On:
Longley, Meagan (Hogg Foundation for Mental Health)
Maples, Mike (Department of state health services)
Thyssen, Monica (HHSC Resource)
Travis, Clayton (Texans Care for Children)
Registering, but not testifying:
For:
Carr, Snapper (Texas Association of Orthotists and Prothetists)
Finch, Dan (Texas Medical Association)
Howell, Jared (Baylor College of Medicine)
On:
Olvera, David (Texas Board of Orthotics and Prosthetics)
For:
Castillo, Sandra (Self; Alamo breast cancer foundation and the young survival coalition)
Dallred, Carol (Texas Nurses Association)
Eastman, Dale (Alamo breast cancer foundation)
Lammers, Paul (Self; Mirna Therapeutics Inc.)
Linares, Maria (Self; The rose)
Sublett, Cathie (The Rose)
Thompson, Gary (Self; Leukemia and Lymphoma Society)
Wilson-Gray, Terry (Self; Bridge Breast Network)
On:
Doyle, Kristen (Cancer Prevention and Research Institute of Texas)
Roberts, Wayne (CPRIT)
5
WITNESS LIST
Registering, but not testifying:
For:
Alexander, Troy (Texas medical association)
Belcher, Nora (Texas e-Health Alliance)
Cannon, Carol (Self)
Cooper, Kevin (Texas Nurse Practitioners)
Devine, Teresa (Blue Cross and Blue Shield of Texas)
Dragsbaek, Anna (Self; The immunization partnership)
Gray, James (American Cancer Society Cancer Action Network)
LaVergne, Shirley (Self)
Lofye, David (Livestrong Foundation)
Moore, Matt (Children's Medical Center Dallas)
Worden, Jerry worden (Self; Alamo breast cancer foundation)
Registering, but not testifying:
For:
Connett, Brent (Texas Conservative Coalition)
On:
Sparks, Joy (HHSC Resource)
Winter, Raymond (Office of the Attorney General)
Registering, but not testifying:
For:
Cooper, Kevin (Texas Nurse Practitioners)
Sjoberg, Elizabeth (Texas Hospital Association)
Willmann, James (Texas Nurses Association)
On:
Johnston, James (Dusty) (Texas Board of Nursing)
Thomas, Katherine (Texas Board of Nursing)
6


{% extends "base.html" %} {% block content %}
This tool will allow admin to search the Revelation database, the Clues database, the Crisis Actions database, and Lore entries for a single search term. Results will be presented on a single page. (That part might eventually need a redesign.)
This tool allows editing of Shardhaven dungeons.


Some of the calculable trial functions:
Pick a trial function.
Note
How to pick a trial function? For ground state energy, we should pick a function that has the same property as the real ground state. This requires some understanding of the problem we are dealing with.
Things to consider:
Why don’t we just use a most general variational method to find out the ground state? Because we will eventually come back to the time-independent Shrödinger equation.
Suppose we have a functional form
The reason we have this Lagrange multiplier method is that the wave function should be normalized and this multiplier provides the degree of freedom. We would only get a wrong result if we don’t include this DoF.
Variation of ,
Now what?
Not helpful.
For a potential , we can prove that virial theorem is valid for ground state if we use Gaussian trial function .
A MMA proof is here.
Virial theorem is pretty interesting. It shares the same math with equipartition theorem.
This is a semi-classical method. It is semi classical because we will use the classical momentum
The following points are important for this method.
WKB start from a classical estimation of wave number at a certain energy which is later quantified by the Bohr-Sommerfeld quantization rule.
Conservation law:
where , . This can be derived from Shrödinger equation easily.
Phase: Wave function is generally . However, should be the area of the phase function starting from some initial point. For example in WKB, and .
Using this general wave function and conservation law we find out that . Then we can apply the two boundary conditions. However we will find two different wave functions given by two boundary conditions. Now we should connect them because exactly. By comparing the two wave functions we can find something like Bohr-Sommerfeld quantization rule.
Correction at bouldary: However, this method requires that the potential varies slowly or equivalently the wave number varies slowly. Basicly we are just using the following approximation:
For example when taking the derivative of wave function,
where we drop the term with . That is to say
But at boundary where , this is obviously not valid because . So we need to fix this problem.
The solution is to use first order of the potential in a Taylor expansion. Then solve the problem exactly. Finally we connect regions that is far out from the boundary, need the boundary and between the boundary.
If we can have a good boundary condition, then the energy spectrum given by WKB can be very good. Even we don’t have a good boundary condtion, the excited states given by this method are always close to the exact ones.


Image Animation
Scroll down your mouse to see the transition animation of the image
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@@include('./src/components/_global/include-loader.html') @@include('./src/components/_global/include-toggle-trigger.html')Scroll down your mouse to see the transition animation of the image


Sacramento St. tops Pepperdine 77-72
by The Associated PressMALIBU, Calif. (AP) — Izayah Mauriohooho-le’afa tied his career high with 23 points as Sacramento State edged past Pepperdine 77-72 on Saturday night.
Mauriohooho-le’afa hit 9 of 10 from the free-throw line.
Ethan Esposito had 15 points and eight rebounds for Sacramento State (4-0). Joshua Patton added 13 points and four assists, and Bryce Fowler had 10 points.
Kameron Edwards had 20 points and eight rebounds for the Waves (3-3). Colbey Ross added 18 points, and Kessler Edwards had 11 points, 11 rebounds and three blocks.
Sacramento State takes on Colorado on the road next Saturday. Pepperdine faces Arizona on Thursday.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
The Associated Press


Some Apple Stores to Offer Extended AppleCare+ Plans
by Andrew OrrSome Apple Stores in the are testing a new program that lets customers buy AppleCare+ plans that go beyond the current deadline which is 60 days after the purchase date (via MacRumors).
Extended AppleCare+
The new extended AppleCare+ plans are definitely being offered for the iPhone and possibly also other devices like the Apple Watch, iPad, and Mac. Under this program Apple customers can add an AppleCare+ plan to their device between 61 days and one year after purchase.
A source said it’s being piloted across 50 Apple Stores in the U.S. and 29 in Canada. To be eligible a customer needs to book a Genius Bar appointment. A technician will perform an inspection and run diagnostics on the device.
Further Reading:
[How to Manage AppleCare Plans and What You Can Do]
[AppleCare+ Plans Lasting Service Life of Product Arrive Quietly]


Structure holding the Action Qualifier actions to be taken on the PWM output at the specific events. More...
#include <csl_epwm.h>
Data Fields | |
| uint32_t | zeroAction |
| uint32_t | prdAction |
| uint32_t | cmpAUpAction |
| uint32_t | cmpADownAction |
| uint32_t | cmpBUpAction |
| uint32_t | cmpBDownAction |
Structure holding the Action Qualifier actions to be taken on the PWM output at the specific events.
| uint32_t CSL_EpwmAqActionCfg::cmpADownAction |
Action to be taken when the counter equals the active CMPA register and the counter is decrementing. This can take values from the following enum CSL_EpwmAqAction_t.
| uint32_t CSL_EpwmAqActionCfg::cmpAUpAction |
Action to be taken when the counter equals the active CMPA register and the counter is incrementing. This can take values from the following enum CSL_EpwmAqAction_t.
| uint32_t CSL_EpwmAqActionCfg::cmpBDownAction |
Action to be taken when the time-base counter equals the active CMPB register and the counter is decrementing. This can take values from the following enum CSL_EpwmAqAction_t.
| uint32_t CSL_EpwmAqActionCfg::cmpBUpAction |
Action to be taken when the counter equals the active CMPB register and the counter is incrementing. This can take values from the following enum CSL_EpwmAqAction_t.
| uint32_t CSL_EpwmAqActionCfg::prdAction |
Action to be taken when the counter equals the period. This can take values from the following enum CSL_EpwmAqAction_t.
| uint32_t CSL_EpwmAqActionCfg::zeroAction |
Action to be taken when counter equals zero. This can take values from the following enum CSL_EpwmAqAction_t.


---
layout: default
---
InAnalysis
資料科學入門最佳工具
Best Tool to Get Started with Data Science
InAnalysis機器學習平台能將資料變成可行動的商業智慧。無機器學習經驗的開發者，也能透過引導輕鬆上手。
The InAnalysis machine learning platform turns data into business intelligence. Developers with no machine learning experience can also easily get started with guidance.
無需寫程式，快速上手機器學習流程
No need to code, to get the hang of machine learning process quickly
快速建置API，輕鬆將模型佈署至任何應用
Quickly to build up APIs, easily to deploy models to any application
無需安裝可隨時隨地使用，RWD設計適用任何行動裝置
anytime, anywhere, no need to be installed, RWD is designed for any mobile device
能夠察看所有專案相關資訊, 新增專案, 修改專案, 刪除專案。新增專案後點選KDD，進入專案KDD流程
Can view all project related information, add projects, modify projects, and delete projects. After adding the project, click KDD to enter the project KDD process.
Data Pre-process, Feature Selection, Model Training, Model Prediction。訓練出Model後可以在Model Management建置API
After training the Model, you can build the API in Model Management.
能夠察看使用者建立的API, 修改API, 刪除API。透過API服務，輕鬆將模型佈署至任何應用。
Ability to view user-created APIs, modify APIs, and remove APIs. Easily deploy models to any application through API services.


@JvmField val DATE_FORMATTER_EVENT: DateTimeFormatter
The date pattern to use for displaying annual events (i.e. just day and month).


|
AnahitaPlus
|
Public Member Functions | |
| def | __init__ (self) |
| def | parse_urdf (self, urdf_str) |
| def | update_tam (self, recalculate=False) |
| def | command_thrusters (self) |
| def | publish_thrust_forces (self, control_forces, control_torques, frame_id=None) |
| def | compute_thruster_forces (self, gen_forces) |
Public Attributes | |
| namespace | |
| config | |
| use_robot_descr | |
| axes | |
| base_link_ned_to_enu | |
| output_dir | |
| n_thrusters | |
| thrusters | |
| thrust | |
| configuration_matrix | |
| inverse_configuration_matrix | |
| ready | |
Static Public Attributes | |
| int | MAX_THRUSTERS = 16 |
The thruster manager generates the thruster allocation matrix using the TF information and publishes the thruster forces assuming the the thruster topics are named in the following pattern <thruster_topic_prefix>/<index>/<thruster_topic_suffix> Thruster frames should also be named as follows <thruster_frame_base>_<index>
| def uuv_thrusters.thruster_manager.ThrusterManager.__init__ | ( | self | ) |
Class constructor.
| def uuv_thrusters.thruster_manager.ThrusterManager.command_thrusters | ( | self | ) |
Publish the thruster input into their specific topic.
| def uuv_thrusters.thruster_manager.ThrusterManager.compute_thruster_forces | ( | self, | |
| gen_forces | |||
| ) |
Compute desired thruster forces using the inverse configuration matrix.
| def uuv_thrusters.thruster_manager.ThrusterManager.update_tam | ( | self, | |
recalculate = False |
|||
| ) |
Calculate the thruster allocation matrix, if one is not given.


Colour Scheme Creator
A Collection of Technologies
This app can be used to assist the choice of a website colour scheme, allowing the user to try out their colours behind their selected images.
A colour-picker is used to fill the swatches of a blank scheme, which can then be applied as backgrounds or font colours. Alternatively, the swatches can be filled straight from the ColourLovers Inspiration palette. After logging-in with a GitHub account a user can name and save the schemes they have created and retrieve them again at a later date.
This project was created as a base for implementing and combining a number of technologies. It includes authorising with an account, a call to the ColourLovers.com website for inspiration, saving and retrieving from a database, and loading data to the screen using a compiled Handlebars template.


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 6
Dietary
Pillow soft and feather light, a meringue with fresh berries is the epitome of a summer dessert.
Preheat the oven to 130C/275F/Gas 1.
Beat the egg whites and salt together in a bowl until soft peaks form when the whisk is removed.
Add the sugar one tablespoon at a time, whisking constantly, until all the sugar is incorporated and stiff peaks form when the whisk is removed.
Add the cornflour, raspberry vinegar and vanilla extract and whisk to combine.
Drop spoonfuls of the meringue mixture into little heaps onto a greased, baking parchment-lined baking sheet and transfer to the oven to bake for 1-1¼ hours, or until the outside of the meringues is crisp and the inside is marshmallow-like.
To serve, place one or two meringues into each dish and top with whipped cream and the summer berries of your choice.


Module 42 Sections of a report
Learning goals
- Understand the over-arching structure and narrative flow of a research paper
- How to write each section of a paper
Overall structure
Data reports, research papers, and scientific publications follow the same basic narrative flow:
- Abstract: Concise summary. This section can also be referred to as an Overview or Executive Summary.
- Introduction: A background section that provides context and justifies the ways that the report is important and adds value.
- Methods: Detailed description of what was done and how data were analyzed.
- Results: A concise report of what was found, drawing upon narrative prose, data tables, and figures.
- Discussion: Considerations and interpretations of the results’ significance, limitations, and consequences for the field of study.
- Other stuff: Acknowledgments, literature cited (i.e., references), tables, and figures.
These sections map onto a high-level conceptual flow: a research paper is like an hourglass.
Your Intro narrows from a point of common and general interest to an articulation of a specific knowledge gap and a focused purpose. Your focus remains narrow as you cover your study’s Methods and Results. Only in the Discussion does your paper begin expanding out again to place your findings in the context of other studies and consider your findings’ implications on broader issues. Your paper ends as broadly as it began: a point of common interest and importance, this time focused on future concerns and priorities.
In this module, we will cover how to adhere to this narrative arc while meeting the standards and expectations of each individual section.
Abstract
An Abstract is a concise and sharp distillation of your paper.
Standards
A strong Abstract section will answer “Hell yes!” to all of the following questions:
1. Is your abstract actually a helpful overview? That is, is your abstract a specific summary of your paper’s content, rather than a vague overview of its organization? As a good example of what NOT to do, in 1951 a geologist published an opinion article, “A Scrutiny of the Abstract”, about how abstracts should and should not be written. He decided to make his article’s abstract sarcastic:
Avoid this style! There is a way to summarize that avoids any helpful information, and there is a way to summarize the provides an executive summary of your work. Aim for the latter.
At the end of the above paper, the author provided a good version of his abstract:
2. Does your abstract adhere to the Abstract Recipe detailed below?
3. Does your abstract fit within the word limits provided by the assignment or instructions? Most Abstract word limits range between 250 and 300 words.
Strategies
There are hundreds of approaches to writing an Abstract. (For proof, just type “how to write an abstract” into GoogleScholar!) In your first few tries at writing your own abstract, we recommend the following approach.
Every single sentence serves a specific purpose, outlined in the following Abstract Recipe:
- Sentence 1: establishes broad interest and the relevance of your topic.
- Sentence 2: articulates your problem statement.
- Sentence 3: articulates your research question and study objectives.
- Sentence 4: summarizes your data collection methods.
- Sentence 5: summarizes your statistical approach.
- Results sentences: The next few sentences (2 - 4) summarize your most important results. This is the most important part of your Abstract, since it tells the reader what your study is contributing to the world, and as such it should be the longest portion of the paragraph.
- Discussion sentences: Use one to two sentences to explain the importance and implications of your findings.
- Final sentence: summarizes recommendations for future research (“Future research on this topic should focus on…”) and/or emphasizes the implications and importance of the findings.
Like a professional chef, professional academics may adjust this recipe as they see fit, but nearly all good abstracts conform to this general formula.
Good example
Below is the abstract from a publication whose first author is an undergraduate student (Zeitler et al. 2021, Journal of Environmental Management). This a strong abstract that maps almost perfectly to the recipe above.
Introduction
An Introduction is an information-rich and persuasive argument for the importance of the contribution your paper will be making to the field of study.
Standards
An Introduction has to do many things at once. Here are the necessary elements of a quality Intro:
Engage & Justify. The entire Introduction is a carefully crafted, convincing argument for the importance of your topic and the urgent need for your research.
Establish context & convince readers to care. Early into the Intro, place your topic in a broad context. Make it clear who should be interested in your topic.
Invite readers in. A good Intro is an accessible one; it should not send the message that only experts will get something out of the paper.
Get everyone on the same page. Mention and explain any concepts that will be crucial to understanding your methodology, interpreting your results, or intuiting the impact of your work.
Demonstrate authoritative knowledge. Demonstrate exhaustive knowledge of the topic, and sharp awareness of the ‘state of the science’.
Demonstrate basis in previous research. Aim for a 1:1 ratio of citations to sentences. Each sentence should end with a citation. Your Introduction is an assemblage of previous findings strategically arranged to identify a knowledge gap and set the stage for your own study. (See Literature Review details below.)
Provide more than a history lesson or a list of facts.  Your deep knowledge of the field ought to be sprinkled throughout, interspersed within your narrowing arc.
Narrow in on a problem statement. The entire Intro should narrow to a problem statement (a knowledge gap, an urgent need). Along the way, you are garnering reader buy-in (yes, this is important) which causes them to care about the gap you have identified.
Follow with a motivation/objectives statement. Your study is a response to the problem statement. “To address this knowledge gap, I developed a study based upon the following objectives…”
Examples of problem statements & hypotheses / aims:
In the examples below, the problem statement is in boldface & the objectives/aims statement is italicized.
“Although there have been several modern investigations of cladogenesis and tree shape [2], [3], the manufactory hypothesis has not, to our knowledge, been tested since Darwin… This paper follows Darwin by examining autocorrelation among ancestral and descendent branches of the tree at the level of subspecies through genera and we also extend the comparison to the level of families.” (from Haskell & Adhikari 2009)
“Few efforts explicitly quantify the consequences of including demand into conservation efforts to safeguard [Ecosystem Services] and biodiversity (Wolff et al. 2015; Verhagen et al. 2016). We aimed to quantify differences between supply and benefit within the context of conservation planning. We addressed 3 questions: How does incorporating demand shift the spatial distribution of benefits relative to supply? How much benefit is captured by conservation efforts that target supply? How do efforts targeting supply and benefit compare in terms of their biodiversity outcomes?” (from Watson et al. 2019)
There are plenty of good and bad examples of Introductions in scientific publications. Here are a few recommendations for excellent introductions that follow the rules above. Note how each example demonstrates how to achieve the necessary conceptual arc while maintaining a large ratio of citations to sentences (nearly every sentence has at least one citation).
See Watson et al. 2019 for a sharp and concise Intro.
See Pitman et al. 2019 for an extensive introduction with excellent writing.
Strategies
With so much to cover in an Introduction, it can be difficult to know where to begin. There are two main steps to preparing an Introduction: (1) revieweing literature, and (2) writing. Begin with the literature.
1. Conducting a literature review
Carrying out a literature review can be daunting, especially if you are new to a field of study.
But regardless of your level of experience, you can follow a common basic workflow. The overall goal is to dive into the literature, follow rabbit holes, and take notes until you begin to feel familiar with the canon of knowledge on your topic. That feeling of familiarity will come once you stop finding new studies in the literature cited sections of the papers you are reading, and once you start to recognize the names of the most prolific and influential scientists in your topic of interest.
a. Find your first paper to review. Begin your search on GoogleScholar scholar.google.com. You may need to search other search engines eventually (e.g., JStor, PubMed, etc.), but this is a good place to start.
The most productive starting point is looking for recent review articles on your topic. Reviews try to be definitive and exhaustive in their list of references. They also point to the studies that were foundationally important in the early days of your topic, as well as to the “cutting edge”: the most recent and exciting developments in the literature.
b. Open up a scratchpad for taking notes in Word or GoogleDocs. Type (or screenshot) the citation for your first article to the top of your scratchpad (e.g., Keen EM and Brew JR. 2021. Ping pong: the Sport of Kings? Table Tennis Weekly 56(1): 343-356.)
c. Begin reading & taking notes. Don’t sit down to read it word for word. Read it selectively for the topics and details that are most relevant to your work. If your first paper is a research article (i.e., with sections on Methods and Results) instead of a review, focus on its Introduction and Discussion. Your notes should be brief. If you are copying language from the paper word for word, place it in quotes so that you can remember what needs to be paraphrased at a later time. In each note that involves a reference to a separate article, include that reference in your note (e.g., Puckette et al. 2021) so you can track it later.
d. Copy down all references that are included in your notes using the literature cited section. This can be tedious but it will pay off in the long run.
e. Clean up your notes for this first paper. Make sure every single note has a parenthetical citation attached to it, so you don’t lose track of where it came from. If the note is a direct contribution from the paper you have reviewed, add the reference for that paper to your note (e.g., Keen & Brew 2021).
f. Select one of these references as your second paper to review.
g. Repeat. Until you begin to feel familiar with the current literature and stop being suprised by new studies.
Once you reach a familiarity plateau (shoot for 80% expertise), pause your literature review! For a peer-reviewed article submitted for publication, anything less than 30 reviewed papers is highly unlikely to provide a sufficient grasp of the state of your field of study (most studies cite many times this number).
2. Organizing and writing your Introduction
You now know enough about the literature now to have a basic sense of what is currently known and not know about your topic.
a. Write your problem statement, the gap in knowledge the justifies and motivates your study.
b. Articulate your hypotheses and/or objectives Frame these as a way of addressing or ameliorating the problem statement.
c. Determine your starting point. Choose your audience, your hook, and the initial direction of your conceptual flow. This is arguably the most difficult part of the writing process.
d. Outline the narrative path from your starting point to your problem statement, with the key step in your argumentative arc must be, and therefore what the purpose of each paragraph must be.
e. For each paragraph, articulate the main point or key idea. This sentence can typically serve as the first sentence of the paragraph (or in some cases the last).
f. Sort your notes into each paragraph. Some notes may be useful in multiple paragraphs, in which case you can copy them rather than just moving them. This is why it is critical that you add a parenthetical citation for the source of each reference. Otherwise you will lose track of which content comes from which source!
g. Sort your notes within each paragraph. Each paragraph has its own narrative flow, taking the reader from concept A to concept B using a sequence or chain of evidence-based claims. How do your notes need to be organized in order to build that chain?
h. Determine the holes in your literature review. As you organize your notes into an argumentative sequence, you will find “holes” in your argument that require substantiation with an as-yet undiscovered reference. This will guide your second stage of literature review (see next steps).
i. Now begins an iterative process of writing, seeking new references, and reorganizing your writing. Iterate until satisfied. Once you are satisfied, ask a colleague to review your writing, not only for grammatical errors and typos, but also with an eye toward the overall arc. Where is your argument weakest? How can it be reorganized? Incorporate their feedback and repeat.
Methods
Your Methods section provides all the detail necessary to (1) understand how you collected data, (2) understand how you analyzed the data, (3) how to interpret the results, and (4) reproduce your study (at least in principle).
Standards
A strong Methods section will answer “Hell yes!” to all of the following questions:
1. Do your methods make sense based upon the research question and the objectives stated in your Introduction? For example, if your goal is to understand the risks of a new drug, it would not make sense if you were measuring seismic activity near a volcano.
2. Is your research and analysis fully reproducible, based upon the level of detail and quality of explanation in your Methods section?
3. Is your analytical approach appropriate given your objectives and the limitations of your data? For example, if you are interested in the correlation between two variables, it would not make sense to use a t-test.
4. Is your analytical approach properly thorough? Are you doing everything you can with the data you have, within the confines of a your project’s scope and objectives? Data are valuable and difficult to come by. Are you learning everything you can regarding your research question from the data you have collected? (Note that it is possible to go too far here, i.e., to include analyses that have nothing to do with your research question. The key is to be thorough but focused.)
5. Is your Methods section written clearly, concisely, and with precision? See the Module on Style for guidance.
Use the papers you found during your literature review for examples of what is included in Methods sections within publications related to your topic, and the style in which that material is written.
 Writing your Methods in full and with detail will help you uncover mistakes with your sampling design and/or analyses before it is too late.
Most Methods sections have a few distinct subsections: Study area, Data collection, Data analysis.
Most Methods sections are written in the past tense.
Do not hesitate to use tables or diagrams to present details of data collection.
Results
The Results section is a concise narrative of your findings, without interpretation or commentary on the importance and consequences of your findings.
Standards
A strong Results section will answer “Hell yes!” to all of the following questions:
1. Are your results complete based on the analyses you described in your Methods section?
2. Is your Results section organized as a coherent narrative that is directly related to your research question, and not just a list of seemingly random findings?
3. Are your findings and conclusion appropriate, given the limitations of the data and the methods you employed?
4. Are tables and figures included where appropriate?
5. Are tables and figures referenced correctly within the text of your results? See the next Module on Style for guidance.
6. Does your Results section contain results only, and not any methodological details that should have been in the Methods, nor interpretation commentary that would be more appropriate in the Discussion?
7. Is your Results section written clearly and with precision? This is especially important with respect to the inclusion of statistical results. Again, for guidance see the next Module on Style.
Again, use the papers you found during your literature review for examples of what is included in Results sections within publications related to your topic, and the style in which that material is written.
Strategies
It is usually best to produce your tables and figures first, then write your Results narrative around those assets.
 Your tables and figures represent the detailed version of your Results; they are the raw numbers that answer your research question. Your narrative should refer constantly to the raw results presented in your tables and figures, but they should not repeat them. Your narrative summarizes the tables and figures and frames your findings with respect to how they address your research question. Minimize the numbers you include in your results, but be sure to include the most important ones.
Aim for a parallel structure in your Methods and Results. Present your results in the same order in which you explain your methodological process. This makes it easy for readers to go back and forth between the two sections as they make sense of what you found.
Most Results sections begin with a brief paragraph summarizing the data that were collected: dates of collection, sample size, and any other context that a reader might need to understand the analytical results that will come in the proceeding paragraphs.
Usually, the most difficult thing about writing a Results section, other than writing an intelligible story instead of a list of facts, is to keep your Discussion out of your Results. The results section is a straightforward report of what you found, without commentary on the importance or implications of those findings.
That said, you will still have to make some editorial decisions in your Results section. Which findings will you emphasize with narrative prose, and which will you simply refer to using a table or figure? Which findings are misleading if the reader fails to keep certain aspects of your methodology in mind, and how can you frame those findings to avoid misinterpretation?
Discussion
The Discussion is where you interpret your results, discuss the limitations of your study, place your findings within the context of the literature, highlight the contributions and implications of your findings, and identify future directions of research.
Standards
The Discussion is probably the most variable and unstructured section of a report, and can therefore be the most difficult to write. For your first few attempts at writing a Discussion, we recommend adhering to the recipe we outline below. A strong Discussion section will have the following components or subsections:
The opening paragraph is a brief summary of your most important results that highlights the findings that make your study important. Think of this paragraph as a ‘hook’ that convinces readers they should read the rest of your Discussion.
Subsection on Study Limitations. This subsection allows you to (1) place boundaries on how you are able to interpret your results given the limitations or unexpected issues that arose from your methods, and (2) identity areas in which your study could be improved if it were reproduced in the future.
Subsection on Interpretation of Results. Use this subsection as an area to highlight and explore your findings, what they mean, and what the important takeaways are.
Subsection on Comparison to Previous Studies. Use this subsection to place your findings within the context of other research. Are your results in line with previous findings? Are they surprising? If so, why might that be? If it is difficult to compare your study to others, explain why. This is a chance for you to control the conversation in the event that others try to compare your study to other literature.
Subsection on Study Implications. Use this subsection to articulate how your findings relate to your study objectives, address your research question, and are important in a broad sense. Why do your results matter? What implications do they have for the issues, places, and people you are focused on in this project? How might your findings influence future policies, technological innovations, or other changes?
Subsection on Suggestions for Future Research with a concluding statement that reinforces the importance and contribution of your project.
Usually, strong Discussions refer regularly to the concepts introduced in the Introduction. This makes sense, since your Discussion is exploring the ways in which your new findings have contributed to the body of knowledge and gaps in knowledge articulated in your Intro. If your Discussion is not addressing the same issues raised in your Intro, you many need to restructure and reframe one or both of those sections.
Most of the papers you collect for your literature review will have their own variation on this recipe. Some sections will be more relevant and extensive than others, depending on your topic and findings. Use your literature collection to get a sense of writing style for Discussions.
Other elements of a report
Acknowledgments
A brief statement of whom you thank for their contributions and support of your project. Be sure to include any sources of funding, equipment, analytical assistance, or other resources.
Literature Cited
Be sure that every reference mentioned in the body of your report has a full citation in this section.
Conversely, make sure that every full citation in this section has a corresponding reference within your report. Remove all un-referenced citations!
See the Module on Style for details on how to format your references and citations.
Tables
Present and enumerate tables in the order they are referenced in your report.
Ensure that each table has its own caption placed above the table.
See the Module on Style for details on how to create and format tables.
Figures
Present and enumerate figures in the order they are referenced in your report.
Ensure that each figure has its own caption placed below the figure.
See the Module on Style for details on how to create and format tables.
Other resources
“How to Write a First-class Paper”, by the editors at Nature


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Ontario is the most populous and
second largest province in Canada. Southern Ontario is home to
the Nation's capital, Ottawa and Canada's largest city, Toronto,
which is the provincial capital and one of the most multicultural
cities in the world. The forests and numerous lakes of Central Ontario
and Northern Ontario also provide popular hiking and camping destinations.
Quebec, a majority francophone province, is a major tourist draw.
Quebec City is a taste of old France in the new world and a UNESCO World
Heritage site. Montreal, the second largest francophone city in the world,
has several tourist attractions.
British Columbia is Canada's westernmost province and
touches the Pacific Ocean.The winters in the coastal areas are
relatively warm in comparison to the rest of Canada. British Columbia
is divided into 6 regions
Alberta is a province in Canada's western prairies next to
the Rocky Mountains. Its two major cities are Calgary,
and Edmonton, the provincial capital. Edmonton is well
known for West Edmonton Mall, the largest mall in North
America, formerly the largest in the world. Edmonton is
also known as Canada's festival city, with over 60 festivals
happening year round. Edmonton is home to the area of Old Strathcona,
a historical district with boutique shopping, music, arts, and many
restaurants. Another world-class attraction is the Royal Tyrrell Museum
of Palaeontology in Drumheller, housing the largest collection of dinosaur
fossils under one roof in the world. Alberta also contains significant natural
scenery, including 5 of Canada's 17 UNESCO World heritage sites. These are Banff
and Jasper National Parks, Waterton-Glacier International Peace Park, Wood Buffalo
National Park, Dinosaur Provincial Park and Head-Smashed-In Buffalo Jump. In the
southeast, Alberta shares with Saskatchewan the Cypress Hills Interprovincial Park,
a geographic region of importance both to aboriginal history and to the North-West
Mounted Police. Alberta has no provincial sales tax.
Alberta is an important skiing destination for tourists.
It has several world-class ski resorts. Canada Olympic Park, with its
downhill ski and ski jumping facilities, is located in the city of Calgary


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--- layout: publication_data permalink: /Research/Data/2015AndersenG3/ stub: 2015AndersenG3 subtitle: Andersen et al. ---
The genetic variants underlying complex traits are often elusive even in powerful model organisms such as Caenorhabditis elegans with controlled genetic backgrounds and environmental conditions. Two major contributing factors are: (1) the lack of statistical power from measuring the phenotypes of small numbers of individuals, and (2) the use of phenotyping platforms that do not scale to hundreds of individuals and are prone to noisy measurements. Here, we generated a new resource of 359 recombinant inbred strains that augments the existing C. elegans N2xCB4856 recombinant inbred advanced intercross line population. This new strain collection removes variation in the neuropeptide receptor gene npr-1, known to have large physiological and behavioral effects on C. elegans and mitigates the hybrid strain incompatibility caused by zeel-1 and peel-1, allowing for identification of quantitative trait loci that otherwise would have been masked by those effects. Additionally, we optimized highly scalable and accurate high-throughput assays of fecundity and body size using the COPAS BIOSORT large particle nematode sorter. Using these assays, we identified quantitative trait loci involved in fecundity and growth under normal growth conditions and after exposure to the herbicide paraquat, including independent genetic loci that regulate different stages of larval growth. Our results offer a powerful platform for the discovery of the genetic variants that control differences in responses to drugs, other aqueous compounds, bacterial foods, and pathogenic stresses


| Interface | Description |
|---|---|
| BootstrapGenerator |
Generates a static WebAppBootstrap implementation with the scanned classes.
|
| ClasspathResolver |
A helper to help locate WEB-INF/classes and all base packages to be scanned
|
| ComponentScanner | |
| WebAppBootstrap |
Register all application components.
|
| Class | Description |
|---|---|
| DynamicWebAppBootstrap |
A dynamic impl of DynamicWebAppBootstrap for use in dev time.
|
| JavassistBootstrapGenerator |
A BoostrapGenerator based on Javassist.
|
| NullWebAppBootstrap | |
| ScannotationComponentScanner |
A Scannotation based Component Scanner
|
| StandaloneClasspathResolver |
A ClasspathResolver for static use, without a web context.
|
| VRaptorStaticScanning |
A static Scanner that generates an static WebAppBootstrap
|
| WebAppBootstrapFactory |
Creates the right WebAppBootstrap
|
| WebBasedClasspathResolver |
A classpath resolver based on ServletContext
|
| Exception | Description |
|---|---|
| ScannerException |
Unchecked exception used in the scanner package
|
Copyright © 2013 Caelum. All Rights Reserved.


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WITNESS LIST Higher Education Committee March 30, 1999-4:00P HB 198 For: Barksdale, Russell (Self) Munkatchy, Jamie (Self) Page, Kevin (Self) Pierre, Jemima (Self) Villarreal, Carl (Anti-Racist Organizing Committee) Against: Armenta, Ben (Student Body of Texas A&M University) Cuellar, Alec E. (Self) Holden, Ida (Self) Schlitzkus, Lisa (Student Body of Texas A&M University) Ward, Kevin (Student Body of Texas A&M University) On: Douglas, Ronald G. (Executive Vice President & Provost, Texas A&M University) Gonzalez, Ricardo (Texas A&M University) Gordon, Edmund T. (Self) Oldmixon, Seth (Self) Registering, but not testifying: For: Haney, Peter C. (Anti-Racist Organizing Committee) HB 315 For: Cook, Deborah (Self and Doctoral Students Association, Texas A&M University-Commerce) Lupack, Susan (Self) Nixon, Kim (Self) On: Sullivan, Teresa A. (Self and The University of Texas at Austin) Registering, but not testifying: For: Berry, Jessica N. (Philosophy Graduates' Association) Colombe, Audrey (Self and Texas State Employees Union) Corina, Laura E. (Self) Erisman, Wendy (Self) Haney, Peter C. (Texas State Employees Union) Hartung, Laurel (Self) Metcalfe, Travis (Self) Miskelly, Jr., Thomas E. (Self) Raab, Ted Melina (Self and Texas State Employees Union) Stewart, Adrian R. (Self) Suker, Amy Lauren (Self) Watkins, Ray (Self) Willis, D.L. Dally (Self and Texas Political & Legislative Committee of Communications Workers of America) Zicker, Alicia (Self) HB 1106 For: Barksdale, Russell (Anti-Racist Organizing Committee) Cruz, Angelica (Self) Enuha, Felicia (Self) Gamez, Gil (League of United Latin American Citizens) Kauffman, Albert (Self and Mexican-American Legal Defense Education Fund) Page, Kevin Joel (Self) Pierre, Jemima (Self) Rodriguez, Margarito G. (Self and Mexican American Bar Association of Texas) Ward, Stephen (Self) Against: Green, Clifton (Self and The Young Conservatives of Texas) Levin, Marc (Campaign for a Colorblind America) Patterson, Clark (Students for a Colorblind Society) On: Murdock, Steve H. (Self) Redwine, Lynn Gray (Texas State Comptroller's Office) Rodriguez, Lynn (Texas Higher Education Coordinating Board) Registering, but not testifying: For: Bledsoe, Gary L. (Self and National Association for the Advancement of Colored People) Colombe, Audrey (Self and Texas State Employees Union) Haney, Peter C. (Anti-Racist Organizing Committee) Poynter, Rachel (The American Civil Liberties Union) Raab, Ted Melina (Self and Texas State Employees Union) Villarreal, Carl (Anti-Racist Organizing Committee) On: Gordon, Edmund T. (Self) HB 1257 For: Gamez, Gil (League of United Latin American Citizens) Kauffman, Albert (Self and Mexican-American Legal Defense Education Fund) On: Page, Kevin (Douglas Laycock) Registering, but not testifying: On: Munkatchy, Jamie (Douglas Laycock, University of Texas Law School) HB 1882 For: Colombe, Audrey (Self and Texas State Employees Union) Cook, Deborah (Self and Doctoral Students Association, Texas A&M University, Commerce) Gobert, Denise (Self and Texas Graduate Students) On: Douglas, Ronald G. (Executive Vice Provost, Texas A&M University) Flack, Teri (Texas Higher Education Coordinating Board) Reinemeyer, Anneliese (Self and Texas A&M University, Graduate Student Council) Registering, but not testifying: For: Erisman, Wendy (Self) Haney, Pete (Texas State Employees Union) Holand, Annie (Student Government at the University of Texas at Austin) Raab, Ted Melina (Self and Texas State Employees Union) Watkins, Ray (Self) Willis, D.L. Dally (Self and Texas Political & Legislative Committee of Communications Workers of America) HB 1952 For: Moore, Katherine (Texas Faculty Association) Tatum, Lynn (Self and Texas Conference: American Association of University Professors) Zucker, Charles (Texas Faculty Association) On: Cain, Delmar L. (Texas A&M University System) Siciliano, Michael J. (Self) HB 1952 Committee Substitute (Rep. Rangel/76R9745) Registering, but not testifying: For: Hartman, Eric (Texas Federation of Teachers) HB 2079 For: Moore, Katherine (Texas Faculty Association) Tatum, Lynn (Self and Texas Conference: American Association of University Professors) Zucker, Charles (Texas Faculty Association) On: Cain, Delmar L. (Texas A&M University) HB 2079 Committee Substitute (Rep. Rangel/76R9721) Registering, but not testifying: For: Hartman, Eric (Texas Federation of Teachers) HB 2555 On: Demerson, Aaron (Texas Tomorrow Fund) HB 2568 For: Torres, George C. (Texas Guaranteed Student Loan Corporation) HB 2604 Registering, but not testifying: Against: Poynter, Rachel (The American Civil Liberties Union) On: Kyser, Ben (Texas Department of Public Safety) HB 2770 For: Coronado, Jim (Self) Gamez, Gil (League of United Latin American Citizens) Kauffman, Albert (Self and Mexican-American Legal Defense Education Fund) Rodriguez, Margarito G. (Self and Mexican American Bar Association of Texas) On: Gaston, Jerry (Self) Monteros, Janet T. (Self and Hispanic Issues Section of the State Bar) Pena, Richard (Self and State Bar of Texas) Registering, but not testifying: For: Bledsoe, Gary L. (Self and National Association for the Advancement of Colored People) Colombe, Audrey (Self and Texas State Employees Union) Cook, Deborah (Doctoral Students Association, Texas A&M University, Commerce) Poynter, Rachel (The American Civil Liberties Union) Raab, Ted Melina (Self and Texas State Employees Union) HB 2806 On: Flores, Syl (University of North Texas) HB 2865 Against: Aleshire, Mary Roe (Self) On: Smith, Arthur K. (University of Houston) Thompson, Barry B. (Texas A&M University System Chancellor) Registering, but not testifying: For: Strong, George W. (Self) White, Michael (Self and The Greater Houston Partnership) On: Montford, John T. (Chancellor, Texas Tech University and Texas Tech University Health Sciences Center) HB 2867 For: Coronado, Jim (Self) On: Newton, Frank (Self) Registering, but not testifying: For: Wood, Karen (Baylor University) HB 2867 Committee Substitute (Rep. Rangel) McDonald, Carol L. (Independent Colleges and Universities of Texas Incorporated) HB 3319 On: Flack, Teri (Texas Higher Education Coordinating Board)


Screen to detect lung cancer earlier | Honolulu Star-Advertiser
It’s concerning to read that Hawaii, which battled to get its smoking rate down and has a relatively low rate of the uninsured for health coverage, has a lower-than- average rate of lung cancer survival, the American Lung Association reported. Read more
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Element Index
Element Details
java
java is the root element of the configuration file.
The value of the class attribute is the qualified class name of the XML Decoder
The value of the version attribute is the JDK version being used.
Declared Attributes
- #FIXED CDATA class = java.beans.XMLDecoder
- #FIXED CDATA version = 1.6.0
Element Content Model
(object+)
Referenced by
object
object represents the meta-data of the object to be de-serialized by the XML decoder
The value of the class attribute is the qualified class name of the object to be de-serialized.
The value of the class attribute must be one of the following:
org.jdesktop.lg3d.scenemanager.config.ApplicationDescription (Taskbar Item)
org.jdesktop.lg3d.scenemanager.utils.startmenu.StartMenuItemConfig (Start Menu Item)
Declared Attributes
- #REQUIRED ENUMERATION ( org.jdesktop.lg3d.scenemanager.config.ApplicationDescription | org.jdesktop.lg3d.scenemanager.utils.startmenu.StartMenuItemConfig ) class
Element Content Model
(void+)
Referenced by
java
void
void holds the name of the property of the object to be de-serialized by the XML decoder
The value of the property attribute is the name of the object's property.
The value of the property attribute must be one of the following:
classpathJars (the JARs of the application e.g. App1.jar)
command (the command to be executed to run the application e.g. java App1)
displayResourceType (the type of the display resource e.g. ICON)
displayResourceUrlName (the URL of the display resource e.g. resource:///app1.png)
exec (main class for application)
iconFilename (path to icon image file)
menuGroup (the group to which the application shortcut belongs)
name (application name)
Declared Attributes
- #REQUIRED ENUMERATION ( classpathJars | command | displayResourceType | displayResourceUrlName | exec | iconFilename | menuGroup | name ) property
Element Content Model
(string)
Referenced by
object
string
string holds the value of the property of the object to be de-serialized by the XML decoder
Element Content Model
(#PCDATA)*
Referenced by
void


My name is carlos
I go to CodeCrew School for people who want to code good.
My favorite sports team is The Golden State Warriors
Warriors Webpage
Email Me


For questions about Airon Ventures, its businesses and opportunities, please contact us by topic, below:
<EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS>partnership@metatensor.com


Descriptions
- Schedule a medicine for 'n' number of days. it will notify daily;
- Add appoint to any doctor. It will reminder;
- Add doctor's information or phone number like a phonebook;
- Search blood from any part of world and find donor;
- Save any diary or note. So it can use as a notebook;
- Find pharmacy, hospital & ambulance from user's location;
Descriptions
- Help user to schedule a sms to send it later;
- User may schedule message with date and time;
- It will never miss to send sms;
- Stores data in local storage;
- No need for internet connection;
- Unlimited message scheduling options;
Descriptions
- System Info will provide you all information about user's device;
- It has been designed very nicely and categorized all data;
- User will able to know about his device, Memory & Battery Info;
- User also able to know about device's Network, OS & CPU Info;
- It will provide device's Sensor, Installed & System Apps Info;
- User may share apps via ShareIt, Bluetooth, Whatsapp etc;
Descriptions
- It will help user to store user's various account password;
- It will give flexibility of storing password both online and offline;
- User can easily view details of all data from password manager;
- User can simply copy their password and email just a single click;
- All data saved in database as encrypted format;
- It will ensure the best security on storing and retreiveing data;
Descriptions
- It is design for searching nearby places from user's location;
- It will simply take input PlaceType and Radius (in km) from user;
- Then it will simply show the best nearest places of that category;
- Also it will help user to see details about any place;
- It will show the shortest path for reaching that place;
- User may use this application from any part of the world;
Descriptions
- It will help an user to encrypt a message;
- User can share encrypted message to all social media;
- Have option decrypt message from encrypted message;
- User can simply copy encrypted message just a single click;
- Very light weight APK size and simple UI;
- It can work with or without internet;
Descriptions
- This is very simple and efficient app for recording voice;
- It is designed for record and save user’s voice in local database;
- It will give flexibility in recording crystal clear and HD voice;
- Optimize the flexibility of apps to different mobile devices.
- This app used SQ-Lite local database to save user’s data;
- Very light APK size and No need for internet connection;
Descriptions
- This is a simple illusion game to make anyone amaze;
- It consists two games;
- First one is Mind Reader with Guess Number;
- First one is Mind Reader with Guess Symbol;
- User just need to do some very basic calculation;
- After that user must be amazed after seeing the real magic;
Descriptions
- It will help user to calculate their CGPA and SGPA;
- User can easily calculate CGPA with any number of subject;
- User can calculate CGPA/SGPA with Course and Semester wise;
- User can maximum add 15 courses or 12 semesters;
- No need for internet connection to calculate CGPA/SGPA;
- This is simple UI, light weight APK and faster in calculation;
Descriptions
- This is very userfull application for Computer Science students;
- Also it will very userfull for network professionals;
- This application can work with or without CIDR value;
- It will help user to calculate Network Adress and Subnet Mask;
- It will also show first usable host and last usable host;
- All fields are available in binary format;
Descriptions
- It will help a person to calculate his date of birth accurately;
- Also it will help find out time period between two dates;
- Calculation will show in Years, Months, Days & Minuets;
- It will show next upcoming birthday;
- All calculation has been checked by an specialist;
- No need for internet connection to calculate data;
Descriptions
- This application for kids who did not schooling yet;
- It will help a kid to learn Bengali and English alphabet;
- This is very easy to use and so much colorful;
- Included 3 video poems so kids will love it;
- Also included both bengali and english numeric alphabet;
- No need for internet connections;


Bayelsa election: Police, army, DSS, others tighten security at INEC headquarters
by Agency ReportThere is tight security at the state headquarters of the Independent National Electoral Commission in Bayelsa State as the state governorship election commences, News Agency of Nigeria reports.
NAN also reports that security operatives from the Nigeria Police Force, Department of State Services, Nigeria Security and Civil Defence Corps, Nigeria Army and Fire Service were seen at the INEC office in Yenagoa.
Police and army personnel in their vehicles were also seen at strategic positions on the major road leading to the INEC state office on Swali road and within the city centre.
The security personnel were in position in order to provide security and ensure the public’s compliance with the vehicular movement restriction order issued.
NAN reports that as of 9.00 a.m., voting was yet to begin at the Fankuku Primary Health Centre polling unit 19 in Epie III Ward, Yenegoa Local Government Area.
NAN, however, observed that two buses conveying INEC ad hoc staff and voting materials were seen driving into the voting centre at 9.20 a.m.
As polling units 019, 017, and 018 were being set up, the Presiding Officer for polling unit 018, Miss Chioma Okoli, apologised to the registered voters for the delay, saying that it was due to transportation challenges.
Okoli said that only voters with Permanent Voter Cards (PVCs) would be allowed to vote as the card readers would only recognise PVCs issued by INEC.
She urged the voters to fold their ballot papers and cast their ballot to avoid a situation where their votes would be voided.
Okoli said that preferential treatment would be given to the elderly, nursing mothers, expectant mothers, and persons living with disabilities.
(NAN)


Hello everyone and welcome to my blog site! I’m excited to be a part of Enspiral Dev Academy as a starting point to pursuing a career in software development and I hope that this website brings a bit of insight into my approach to learning and some of the things I have been working on. I hope that you find it helpful and please feel free to give feedback about how I can improve!
Good luck and happy coding!


Every Toon starts with access to Throw gags. These deliver a good solid splat, and form the core of your gag assortment.
Every Toon also starts with access to Squirt gags. They are not quite as powerful as throw gags, but are much more accurate.


Delay()
Syntax
Delay(Time)Description
Halts the program execution for the specified amount of time.
Parameters
Time The delay time in milliseconds. The actual delay may be longer than the specified time.
Return value
None.
Remarks
Delay is especially useful in event loops with WindowEvent() or ExamineKeyboard(), so these functions do not "eat" the entire CPU power.
See Also
ElapsedMilliseconds()
Supported OS
All


Note: An ACCEPT header is automatically added to every request.
No Response Data
The response was too large to store. Only responses less than {{history.maxSize / 1000}} kilobytes in size will be stored. This response was approximately {{history.size / 1000}} kilobytes.


var firstFabOptionMarginPx: Float
The margin (in pixels as a positive float) between the first FabOption in this orientation and the ExpandableFab itself. Depending on the size you set for the ExpandableFab, you may want this margin to be different than successiveFabOptionMarginPx. Default value is 80f.


DJI::OSDK::MissionManager Class Reference
MissionManager class for chaining/managing missions. More...
#include <dji_mission_manager.hpp>
Public Member Functions | |
| MissionManager (Vehicle *vehiclePtr=0) | |
| ACK::ErrorCode | init (DJI_MISSION_TYPE type, int timeout, UserData missionData=0) |
| init missions, could be hotpt or waypt, blocking calls More... | |
| void | init (DJI_MISSION_TYPE type, VehicleCallBack callback=0, UserData missionData=0) |
| init missions, could be hotpt or waypt, non-blocking calls More... | |
| WaypointMission * | getWaypt (int index) |
| get waypt ptr from waypt container More... | |
| HotpointMission * | getHotpt (int index) |
| get hotpt ptr from hotpt container More... | |
| void | printInfo () |
Static Public Member Functions | |
| static void | missionCallback (Vehicle *vehiclePtr, RecvContainer recvFrame, UserData userData) |
| a callback function for waypoint non-blocking calls More... | |
Public Attributes | |
| Vehicle * | vehicle |
| WaypointMission * | wpMission |
| HotpointMission * | hpMission |
| std::vector< WaypointMission * > | wpMissionVector |
| std::vector< HotpointMission * > | hpMissionVector |
Detailed Description
MissionManager class for chaining/managing missions.
Member Function Documentation
◆ getHotpt()
| HotpointMission * MissionManager::getHotpt | ( | int | index | ) |
get hotpt ptr from hotpt container
- Supported Platforms : M210V2, M300
- Parameters
-
index index of hotpt container
◆ getWaypt()
| WaypointMission * MissionManager::getWaypt | ( | int | index | ) |
get waypt ptr from waypt container
- Supported Platforms : M210V2
- Parameters
-
index index of waypt container
◆ init() [1/2]
| ACK::ErrorCode MissionManager::init | ( | DJI_MISSION_TYPE | type, |
| int | timeout, | ||
| UserData | missionData = 0 |
||
| ) |
init missions, could be hotpt or waypt, blocking calls
- Supported Platforms : M210V2, M300(HOTPOINT Only)
- Parameters
-
type mission type enum timeout timeout missionData initData for the mission (void ptr)
◆ init() [2/2]
| void MissionManager::init | ( | DJI_MISSION_TYPE | type, |
| VehicleCallBack | callback = 0 , |
||
| UserData | missionData = 0 |
||
| ) |
init missions, could be hotpt or waypt, non-blocking calls
- Supported Platforms : M210V2, M300(HOTPOINT Only)
- Parameters
-
type mission type enum callback user specified callback missionData initData for the mission (void ptr)
◆ missionCallback()
|
static |
a callback function for waypoint non-blocking calls
- Parameters
-
recvFrame RecvContainer populated by the protocolLayer userData void ptr for user usage
◆ printInfo()
| void MissionManager::printInfo | ( | ) |
- Supported Platforms : M210V2, M300
- print the status of the mission manager
The documentation for this class was generated from the following files:
- osdk-core/api/inc/dji_mission_manager.hpp
- osdk-core/api/src/dji_mission_manager.cpp


To share this page on a social network, boat access must be open to everybody. Currently, access is restricted to team members.
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Topics discussed in this section include:
Traditional enterprise applications are, for the most part, self-contained monolithic programs which have limited access to one another's procedures and data. They are usually cumbersome to build and expensive to maintain because even simple changes require the entire program to be recompiled and retested.
By contrast, applications built using distributed objects such as CORBA naturally lend themselves to a multitiered architecture, fostering a neat separation of concerns. A three-tiered application has a user interface code layer, a computation code (or business logic) layer, and a database access layer. All interaction between the layers occurs via the interfaces that all CORBA objects must publish. The diagram below illustrates the transition from monolithic applications to multi-tiered, modular applications.
The user-interface tier is the layer of user interaction. Its focus is on efficient user interface design and accessibility throughout your organization. The user interface tier can reside on the user's desktop, on your organization's intranet, or on the World Wide Web (Internet). Several user interface implementations may be deployed which access the same server. The UI tier usually invokes methods on the business logic tier and thus acts as a client of the business logic servers.
The service, or business logic layer, is server-based code with which the client code interacts.  These objects invoke methods on Data Store tier objects.
The data store layer is made up of objects that encapsulate
database routines and interact directly with the DBMS product(s).
For example, a hypothetical get_Sales_Sum
method might
be implemented to obtain data from a relational database via the
appropriate SQL SELECT
statements.


The SNMP management application programmers interface.
This package is a wrapper around the core Snmp.Protocol package in order to shield the programmer from SNMP specific features. This allows a developer to develop a management application with a simple interface and he does not need to understand the core features of the protocol.
The package consist of the following items:


WebGL
Particle Flame
GPGPU Particle flame. Achieved via Three.js
GPGPU Particle flame. Achieved via Three.js


--- layout: default title: Support afx_sections: [["support-en","English (en)"],["support-zh-cn","中文 (zh-CN)"]] --- {% include new-section.html id="support-en" %}
HLAE wiki with FAQ, tutorials, command list, and others.
Live text chat support from HLAE team members and community members.
For bug reports, feature requests and questions.
Please research existing (open and closed) issues first before opening an new one to avoid duplication.


1 write to PipelineStateInfo
System.Management.Automation (1)
engine\hostifaces\Pipeline.cs (1)
262
PipelineStateInfo
= pipelineStateInfo;
11 references to PipelineStateInfo
Microsoft.PowerShell.ConsoleHost (3)
host\msh\Executor.cs (3)
142
e.
PipelineStateInfo
.State == PipelineState.Completed
143
|| e.
PipelineStateInfo
.State == PipelineState.Failed
144
|| e.
PipelineStateInfo
.State == PipelineState.Stopped)
System.Management.Automation (8)
engine\hostifaces\PowerShell.cs (2)
3880
PSInvocationStateInfo targetStateInfo = new PSInvocationStateInfo(stateEventArgs.
PipelineStateInfo
);
6239
if ((e.
PipelineStateInfo
.State == PipelineState.Stopping) &&
engine\remoting\client\Job.cs (4)
2718
PipelineStateInfo stateInfo = stateEventArgs.
PipelineStateInfo
;
3159
if ((Runspace != null) && (e.
PipelineStateInfo
.State != PipelineState.Running))
3166
PipelineState state = e.
PipelineStateInfo
.State;
4309
PipelineState state = e.
PipelineStateInfo
.State;
engine\remoting\commands\PSRemotingCmdlet.cs (2)
3424
PipelineStateInfo stateInfo = stateEventArgs.
PipelineStateInfo
;
3656
PipelineState state = stateEventArgs.
PipelineStateInfo
.State;


Function objects are objects specifically designed to be used with a syntax similar to that of functions. In C++, this is achieved by defining member function operator() in their class, like for example:
1 2 3 4
struct myclass {
intoperator()(int a) {return a;}
} myobject;
int x = myobject (0); // function-like syntax with object myobject
They are typically used as arguments to functions, such as predicates or comparison functions passed to standard algorithms.


Kozhikode or Calicut district, in the central part of the former Malabar district, is a district of Kerala state, on the southwest coast of India. The city of Kozhikode, also known as Calicut, is the district headquarters. The district is 38.25% urbanised. Kozhikode district is bordered by the districts of Kannur and Mahé (Puducherry) to the north, Wayanad to the east, and Malappuram to the south. The Arabian Sea lies to the west and Western Ghats stretches towards east. Vavul Mala is the highest peak in the district.
It lies between latitudes 11° 08'N and 11° 50'N and longitudes 75° 30'E and 76° 8'E. The district is divided into four taluks: Kozhikode, Vatakara, Koyilandy and Thamarassery. By the 2011 census there are 12 block panchayats: Balusseri, Chelannur, Koduvally, Kozhikode, Kunnamangalam, Kunnummal, Melady, Panthalayani, Perambra, Thodannur, Thuneri and Vatakara. Wayanad district and Malappuram district were formed by taking parts of erstwhile Kozhikode district.
Said to be built on the remains of a shipwreck, the Thikkoti Lighthouse is one of the major attractions of Kozhikode. Located on a rocky shoreline, the place is best known for the scenic views it offers as well as several species of nomadic birds.
Said to be built on the remains of a shipwreck, the Thikkoti Lighthouse is one of the major attractions of Kozhikode. Located on a rocky shoreline, the place is best known for the scenic views it offers as well as several species of nomadic birds.
Its a dam site located in Kozhikode of Kerala state surrounded by lush greenery .The distance is about 15 km from Kakkayam Bus stop. There is a forest office at top . You need to take permission from the official authories before going ahead.


Maharashtra government formation: Supreme Court to pronounce order tomorrow
A bench comprising Justices N V Ramana, Ashok Bhushan and Sanjiv Khanna is likely to pass an order on holding of a floor test
by PTIThe Supreme Court on Monday said it will pass its order at 10.30 am on Tuesday on the Shiv Sena-NCP-Congress combine's plea against the Maharashtra governor's decision to swear in Devendra Fadnavis as chief minister.
A bench comprising Justices N V Ramana, Ashok Bhushan and Sanjiv Khanna is likely to pass an order on holding of a floor test.
The combine was pressing that the floor test is ordered today itself which was opposed by Fadnavis and Deputy Chief Minister Ajit Pawar.
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