scholarly journals SYSTEMS-LEVEL MODELING OF BIOLOGICAL AND MOLECULAR AGING CHANGES OVER TIME

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S579-S579
Author(s):  
Morgan E Levine ◽  
Perry Kuo ◽  
Jennifer Schrack ◽  
Eleanor M Simonsick ◽  
Susan Resnick ◽  
...  
Keyword(s):  
Aging Process ◽  
Biological Aging ◽  
Systems Dynamics ◽  
Epigenetic Alterations ◽  
Biological Organization ◽  
Biomarkers Of Aging ◽  
Baltimore Longitudinal Study ◽  
Using Data ◽  
Changes Over Time ◽  
Over Time

Abstract Aging is associated with numerous changes at all levels of biological organization. Harnessing this information to develop measures that accurately and reliably quantify the biological aging process will require longitudinal modeling and incorporation of systems level approaches. We will describe applications of network modeling for longitudinal multi-system biomarker data. Using data from the Baltimore Longitudinal Study of Aging (BLSA) we are able to generate systems level models of biological and physiological function, and then demonstrate how these networks change with age. We will also link systems-level aging changes to hallmarks of aging, including epigenetic alterations, senescence, mitochondrial dysfunction, and proteostasis. Given the complexity of the biological aging process, modeling of systems dynamics over time will both lead to the development of better biomarkers of aging, and also inform our conceptualization of how alterations at the molecular level propagate up levels of organization to eventually influence morbidity and mortality risk.

scholarly journals New Computational Approaches to Aging Research

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 736-736
Author(s):  
Morgan E Levine
Keyword(s):  
Aging Process ◽  
Molecular Level ◽  
Biological Aging ◽  
Systems Dynamics ◽  
Learning Approaches ◽  
Biological Organization ◽  
Aging Research ◽  
Biomarkers Of Aging ◽  
Age Related ◽  
Novel Biomarkers

Abstract Aging is associated with numerous changes at all levels of biological organization. Harnessing this information to develop measures that accurately and reliably quantify the biological aging process will require systems biology approaches. This talk will illustrate how epigenetic data can be integrated with cellular, physiological, proteomic, and clinical data to model age-related changes that propagate up the levels—finally manifesting as age-related disease or death. I will also describe how network modeling and machine learning approaches (linear and non-linear) can be used to identify causal features in aging from which to generate novel biomarkers. Given the complexity of the biological aging process, modeling of systems dynamics over time will both lead to the development of better biomarkers of aging, and also inform our conceptualization of how alterations at the molecular level propagate up levels of organization to eventually influence morbidity and mortality risk.

scholarly journals Hubungan Perilaku Perdagangan Investor Dengan Volume Perdagangan Di Bursa Efek Indonesia

2009 ◽  
Vol 2 (1) ◽  
Author(s):  
Ghazali Syamni
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Time Interval ◽  
Time Intervals ◽  
Using Data ◽  
Changes Over Time ◽  
Relationship Of ◽  
The Relationship ◽  
Order Pattern ◽  
Over Time

This paper examines the relationship of behavior trading investor using data detailed transaction history-corporate edition demand and order history in Indonesia Stock Exchange during period of March, April and May 2005. Peculiarly, behavior placing of investor order at trading volume. The result of this paper indicates that trading volume order pattern to have pattern U shape. The pattern happened that investors have strong desires to places order at the opening and close of compared to in trading periods. While the largest orders are of market at the opening indicates that investor is more conservatively when opening, where many orders when opening has not happened transaction to match. In placing order both of investor does similar strategy. By definition, informed investors’ orders more large than uninformed investors. If comparison of order examined hence both investors behavior relatively changes over time. But, statistically shows there is not ratio significant. This implies behavior trading of informed investors and uninformed investors stable relative over time. The result from regression analysis indicates that informed investors to correlate at trading volume in all time intervals, but not all uninformed investors correlates in every time interval. This imply investor order inform is more can explain trading volume pattern compared to uninformed investor order in Indonesia Stock Exchange. Finally, result of regression also finds that order status match has greater role determines trading volume pattern intraday especially informed buy match and informed sale match. While amend, open and withdraw unable to have role to determine intraday trading volume pattern.

scholarly journals EPIGENETIC PROFILES OF BIOLOGICAL AGING HALLMARKS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S424-S424
Author(s):  
Diana L Leung ◽  
Zuyun Liu ◽  
Morgan E Levine
Keyword(s):  
Aging Process ◽  
Strong Association ◽  
Cpg Islands ◽  
Biological Aging ◽  
Epigenetic Alterations ◽  
Chronological Aging ◽  
Progeroid Syndromes ◽  
Progeria Syndrome ◽  
Hutchinson Gilford Progeria Syndrome ◽  
Weighted Network Analysis

Abstract Investigation into the hallmarks of aging point to the existence of shared mechanisms that underlie the biological aging process. While there is a general consensus that hallmarks of aging rarely occur in isolation, little is known in regards to their overlapping networks or how interactions contribute to manifestations at the clinical level. Here, we examine whether shared epigenetic alterations—one of the proposed hallmark of aging—underlies diverse conditions characterized by other hallmarks, including cellular senescence, loss of proteostasis, genomic instability, mitochondrial dysfunction, and inflammation. Using weighted network analysis, we identified consistent overlaps in the methylation profiles across the different traits. For instance, epigenetic modules that were distinct in senescence were also affected in progeroid syndromes (Hutchinson-Gilford Progeria Syndrome and Werner’s Syndrome) and smokers. These CpGs tended to be located in CpG islands, which are notable for their strong association with transcriptional regulation. Overall, our results suggest that epigenetic alterations intersect with various hallmarks of aging. In moving forward, incorporation of this understanding may lead to the development of biomarkers that better capture the biological (rather than chronological) aging process.

scholarly journals Prostate Volume Changes Over Time: Results From the Baltimore Longitudinal Study of Aging

2009 ◽  
Vol 182 (4) ◽  
pp. 1458-1462 ◽  
Author(s):  
Stacy Loeb ◽  
Anna Kettermann ◽  
H. Ballentine Carter ◽  
Luigi Ferrucci ◽  
E. Jeffrey Metter ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Prostate Volume ◽  
Volume Changes ◽  
Baltimore Longitudinal Study ◽  
Changes Over Time ◽  
Over Time

scholarly journals Influence over school discipline policy: Variation across levels of governance, school contexts, and time

2017 ◽  
Vol 25 ◽  
pp. 119
Author(s):  
F. Chris Curran
Keyword(s):  
Charter Schools ◽  
School Discipline ◽  
School Contexts ◽  
Discipline Policy ◽  
Ordered Logistic Regression ◽  
Governance School ◽  
Using Data ◽  
Policy Variation ◽  
Changes Over Time ◽  
Over Time

Little research explores the relative influence of various stakeholders on school discipline policy. Using data from the SASS and ordered logistic regression, this study explores such influence while assessing variation across schools types and changes over time. Principals consistently rate themselves and teachers as the most influential stakeholders over setting school discipline policy. The proportion of racial minorities in a school predicts greater influence from higher levels of governance while charter schools report less. Increases in influence of principals and teachers over time are documented. The results may inform both policymakers and practitioners as they work to improve equitable disciplinary outcomes for students.

Individual DNA Methylation Profile is Correlated with Age and can be Targeted to Modulate Healthy Aging and Longevity

2019 ◽  
Vol 25 (39) ◽  
pp. 4139-4149 ◽  
Author(s):  
Francesco Guarasci ◽  
Patrizia D'Aquila ◽  
Alberto Montesanto ◽  
Andrea Corsonello ◽  
Dina Bellizzi ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Mitochondrial Dna ◽  
Aging Process ◽  
Healthy Aging ◽  
Nuclear Dna ◽  
Epigenetic Modification ◽  
Biological Aging ◽  
Biomarkers Of Aging ◽  
Age Related

: Patterns of DNA methylation, the best characterized epigenetic modification, are modulated by aging. In humans, different studies at both site-specific and genome-wide levels have reported that modifications of DNA methylation are associated with the chronological aging process but also with the quality of aging (or biological aging), providing new perspectives for establishing powerful biomarkers of aging. : In this article, the role of DNA methylation in aging and longevity has been reviewed by analysing literature data about DNA methylation variations occurring during the lifetime in response to environmental factors and genetic background, and their association with the aging process and, in particular, with the quality of aging. Special attention has been devoted to the relationship between nuclear DNA methylation patterns, mitochondrial DNA epigenetic modifications, and longevity. Mitochondrial DNA has recently been reported to modulate global DNA methylation levels of the nuclear genome during the lifetime, and, in spite of the previous belief, it has been found to be the target of methylation modifications. : Analysis of DNA methylation profiles across lifetime shows that a remodeling of the methylome occurs with age and/or with age-related decline. Thus, it can be an excellent biomarker of aging and of the individual decline and frailty status. The knowledge about the mechanisms underlying these modifications is crucial since it might allow the opportunity for targeted treatment to modulate the rate of aging and longevity.

E-Government and Related Indices

2020 ◽  
pp. 1810-1824
Author(s):  
Kathleen M. Boyer-Wright ◽  
Jeffrey E. Kottemann
Keyword(s):  
Future Research ◽  
Government Services ◽  
Telecommunications Infrastructure ◽  
The World Bank ◽  
The World ◽  
Efficacy Index ◽  
Using Data ◽  
Changes Over Time ◽  
Over Time ◽  
Qualitative Analyses

The primary United Nations E-Government Index is a composite of three component indices: telecommunications infrastructure, human capital, and online e-government services, where the first two can be seen as enablers of the third. This study investigates the addition of a complementary component index for institutional efficacy, which is hypothesized to be another enabling factor. The institutional efficacy index is operationalized using existing measures gathered and made available by the World Bank. Statistical analysis shows that the institutional efficacy index is indeed a significant, additional predictor of online e-government services across nations. Following the presentation of basic results, qualitative analyses are undertaken to develop an assortment of generic national profiles. Preliminary analyses of changes over time are also presented using data from prior years, and directions for future research are outlined.

scholarly journals Historicizing the Ottoman Timar System: Identities of Timar-Holders, Fourteenth to Seventeenth Centuries

2017 ◽  
Vol 8 (2) ◽  
pp. 145-173
Author(s):  
Linda T. Darling
Keyword(s):  
Short Term ◽  
Using Data ◽  
Changes Over Time ◽  
Over Time

This article aims to develop a new narrative of changes in the Ottoman timar system independent of the complaints of decline brought by advice writers like Mustafa ‘Ali. Based on the icmal defterleri, it examines the identities of timar-holders and their changes over time, a topic generally ignored in descriptions of the Ottoman military. Using data from earlier studies, it connects changes in timar-holding with changing conditions in the sultans’ reigns. It then takes a longer-term look at these changes over the half-centuries and finds the well-known complaints in the nasihatnameler to be based on a very short-term view of the system.

Changes Over Time in the Cost of Job Loss for Young Men and Women

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Justin Barnette ◽  
Kennedy Odongo ◽  
C. Lockwood Reynolds
Keyword(s):  
Job Loss ◽  
Young Men ◽  
Men And Women ◽  
Present Evidence ◽  
Using Data ◽  
The Cost ◽  
Changes Over Time ◽  
Over Time

AbstractUsing data from the two cohorts of the NLSY, we examine whether income losses due to involuntary job separations have changed over time. We find that wage losses among men are similar between the two cohorts. However, women in the 1979 cohort show little evidence of wage losses while women in the 1997 cohort experience wage losses similar to those of men. We present evidence that changes in occupations across cohorts help explain these results.

Evaluating the Quality of Changes in Voter Registration Databases

2019 ◽  
Vol 48 (6) ◽  
pp. 670-676
Author(s):  
Seo-young Silvia Kim ◽  
Spencer Schneider ◽  
R. Michael Alvarez
Keyword(s):  
Record Linkage ◽  
Voter Registration ◽  
Election Administration ◽  
Registration Data ◽  
Detection And Tracking ◽  
Audit Data ◽  
Using Data ◽  
Changes Over Time ◽  
Over Time

The administration of elections depends crucially upon the quality and integrity of voter registration databases. In addition, political scientists are increasingly using these databases in their research. However, these databases are dynamic and may be subject to external manipulation and unintentional errors. In this article, using data from Orange County, California, we develop two methods for evaluating the quality of voter registration data as it changes over time: (a) generating audit data by repeated record linkage across periodic snapshots of a given database and monitoring it for sudden anomalous changes and (b) identifying duplicates via an efficient, automated duplicate detection, and tracking new duplicates and deduplication efforts over time. We show that the generated data can serve not only to evaluate voter file quality and election integrity but also as a novel source of data on election administration practices.

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