In silico knowledge data discovery in the context of IoT ecosystem security issues

Mapping Intimacies ◽

10.1063/5.0043737 ◽

2021 ◽

Author(s):

Plamenka Borovska ◽

Desislava Ivanova

Keyword(s):

In Silico ◽

Data Discovery ◽

Security Issues

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Conceptual model of integrated approach for in silico knowledge data discovery for breast cancer diagnostics and precision therapy

10.1063/1.5133485 ◽

2019 ◽

Author(s):

Kiril Kirilov ◽

Plamenka Borovska

Keyword(s):

Breast Cancer ◽

Conceptual Model ◽

In Silico ◽

Integrated Approach ◽

Cancer Diagnostics ◽

Data Discovery ◽

Breast Cancer Diagnostics ◽

Precision Therapy

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In Silico Toxicology

10.1039/9781849732093 ◽

2010 ◽

Cited By ~ 30

Keyword(s):

In Silico

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Washington: Social Security issues call for help

PsycEXTRA Dataset ◽

10.1037/e382532004-053 ◽

1986 ◽

Author(s):

Susan Landers

Keyword(s):

Social Security ◽

Security Issues

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Child Welfare and Juvenile Justice: Several Factors Influence the Placement of Children Solely to Obtain Mental Health Services. Statement of Cornelia M. Ashby, Director Education, Workforce, and Income Security Issues; Testimony Before the Committee on Governmental Affairs, U.S. Senate

PsycEXTRA Dataset ◽

10.1037/e431242008-001 ◽

2003 ◽

Keyword(s):

Mental Health ◽

Child Welfare ◽

Mental Health Services ◽

Health Services ◽

Juvenile Justice ◽

Income Security ◽

Security Issues

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No Child Left Behind Act. States Face Challenges Measuring Academic Growth: States Face Challenges Measuring Academic Growth. Statement of Marnie S. Shaul, Director, Education, Workforce, and Income Security Issues. Testimony Before the House Committee on Education and the Workforce

PsycEXTRA Dataset ◽

10.1037/e530912006-001 ◽

2006 ◽

Author(s):

Marnie S. Shaul

Keyword(s):

No Child Left Behind ◽

Academic Growth ◽

Income Security ◽

Security Issues ◽

Left Behind ◽

House Committee

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Systemwide Education Reform: Federal Leadership Could Facilitate District-Level Efforts. Statement of Cornelia M. Ashby, Director, Education, Workforce, and Income Security Issues. Testimony Before the Committee on Health, Education, Labor, and Pensions, U.S. Senate

PsycEXTRA Dataset ◽

10.1037/e537752006-001 ◽

1993 ◽

Cited By ~ 1

Keyword(s):

Health Education ◽

Education Reform ◽

District Level ◽

Income Security ◽

Security Issues

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Child and Family Services Reviews: States and HHS Face Challenges in Assessing and Improving State Performance. Statement of Cornelia M. Ashby, Director, Education, Workforce, and Income Security Issues. Testimony Before the Subcommittee on Human Resources, Committee on Ways and Means, House of Representatives

PsycEXTRA Dataset ◽

10.1037/e539642006-001 ◽

2004 ◽

Keyword(s):

Human Resources ◽

House Of Representatives ◽

Child And Family Services ◽

Family Services ◽

Income Security ◽

Security Issues

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Implementation of the Child Abuse Prevention and Treatment Act of 1988 by the National Center on Child Abuse and Neglect: Statement of Joseph F. Delfico, Director of Income Security Issues, Human Resources Division, Before the Subcommittee on Select Education Committee on Education and Labor, House of Representatives

PsycEXTRA Dataset ◽

10.1037/e540722006-001 ◽

1991 ◽

Author(s):

Joseph F. Delfico

Keyword(s):

Child Abuse ◽

Human Resources ◽

House Of Representatives ◽

Child Abuse And Neglect ◽

Child Abuse Prevention ◽

Abuse Prevention ◽

Income Security ◽

Security Issues ◽

Abuse And Neglect ◽

Prevention And Treatment

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A systematic review with in silico analysis on transcriptomic profile of gallbladder carcinoma

Seminars in Oncology ◽

10.1053/j.seminoncol.2020.02.012 ◽

2020 ◽

Vol 47 (6) ◽

pp. 398-408

Author(s):

Sonam Tulsyan ◽

Showket Hussain ◽

Balraj Mittal ◽

Sundeep Singh Saluja ◽

Pranay Tanwar ◽

...

Keyword(s):

Systematic Review ◽

Gallbladder Carcinoma ◽

In Silico ◽

In Silico Analysis ◽

Transcriptomic Profile ◽

Silico Analysis

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Common and well-documented Allele List: unverzichtbares Hilfsmittel für die moderne HLA-Typisierung

Transfusionsmedizin - Immunhämatologie Hämotherapie Immungenetik Zelltherapie ◽

10.1055/a-0898-1122 ◽

2019 ◽

Vol 9 (04) ◽

pp. 241-245

Author(s):

Nils Lachmann ◽

Diana Stauch ◽

Axel Pruß

Keyword(s):

In Silico ◽

Regionale Unterschiede

ZusammenfassungDie Typisierung der humanen Leukozytenantigene (HLA) vor Organ- und hämatopoetischer Stammzelltransplantation zur Beurteilung der Kompatibilität von Spender und Empfänger wird heutzutage in der Regel molekulargenetisch mittels Amplifikation, Hybridisierung oder Sequenzierung durchgeführt. Durch die exponentiell steigende Anzahl an neu entdeckten HLA-Allelen treten vermehrt Mehrdeutigkeiten, sogenannte Ambiguitäten, in der HLA-Typisierung auf, die aufgelöst werden müssen, um zu einem eindeutigen Ergebnis zu gelangen. Mithilfe kategorisierter Allelfrequenzen (häufig, gut dokumentiert und selten) in Form von CWD-Allellisten (CWD: common and well-documented) ist die In-silico-Auflösung von Ambiguitäten durch den Ausschluss seltener Allele als mögliches Ergebnis realisierbar. Ausgehend von einer amerikanischen CWD-Liste existieren derzeit auch eine europäische, deutsche und chinesische CWD-Liste, die jeweils regionale Unterschiede in den Allelfrequenzen erkennbar werden lassen. Durch die Anwendung von CWD-Allelfiltern in der klinischen HLA-Typisierung können Zeit, Kosten und Arbeitskraft eingespart werden.

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