Clinical and dermatoscopic analysis of nevi’s changes over time in patients with a high risk of skin melanoma

Abstract The generalized autoregressive conditional heteroskedasticity (GARCH) type models are used to investigate the volatility of Bangladesh stock market. The findings of the study demonstrate that the index volatility characteristics changes over time. The article shows that the data are divided into three sub-periods: pre crisis, crisis, and post crisis. Accordingly, the results of the findings indicate changes in the GARCH-type models parameter, risk premium and persistence of volatility in different periods. A significant “low-yield associated with high-risk” phenomenon is detected in the crisis period and the “leverage effect” occurs in each periods. The investors are irrational which is based on assumption of risk and return characteristics of assets. Consequently, the market is not as mature as developed market. It is found in the article that the threshold generalized autoregressive conditional heteroskedasticity (TGARCH) model is more accurate for the model accuracy. Additionally, statistic error measurements indicate that GARCH model is more efficient than others and it has also more forecasting ability.

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Detection of serum N-glycans based on changes over time for earlier detection of pancreatic cancer in high-risk individuals

Pancreatology ◽

10.1016/j.pan.2021.05.036 ◽

2021 ◽

Vol 21 ◽

pp. S12

Author(s):

I. Levink ◽

D. Klatte ◽

R. Hanna-Sawires ◽

I. Ibrahim ◽

Y. van der Burgt ◽

...

Keyword(s):

Pancreatic Cancer ◽

High Risk ◽

Changes Over Time ◽

Over Time

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Clonal competition with alternating dominance in multiple myeloma

Blood ◽

10.1182/blood-2012-01-405985 ◽

2012 ◽

Vol 120 (5) ◽

pp. 1067-1076 ◽

Cited By ~ 400

Author(s):

Jonathan J. Keats ◽

Marta Chesi ◽

Jan B. Egan ◽

Victoria M. Garbitt ◽

Stephen E. Palmer ◽

...

Keyword(s):

Multiple Myeloma ◽

High Risk ◽

High Risk Patient ◽

Genomic Analysis ◽

Genetically Engineered ◽

Disease Course ◽

Genetically Engineered Mouse Model ◽

Risk Patients ◽

Changes Over Time ◽

Over Time

Abstract Emerging evidence indicates that tumors can follow several evolutionary paths over a patient's disease course. With the use of serial genomic analysis of samples collected at different points during the disease course of 28 patients with multiple myeloma, we found that the genomes of standard-risk patients show few changes over time, whereas those of cytogenetically high-risk patients show significantly more changes over time. The results indicate the existence of 3 temporal tumor types, which can either be genetically stable, linearly evolving, or heterogeneous clonal mixtures with shifting predominant clones. A detailed analysis of one high-risk patient sampled at 7 time points over the entire disease course identified 2 competing subclones that alternate in a back and forth manner for dominance with therapy until one clone underwent a dramatic linear evolution. With the use of the Vk*MYC genetically engineered mouse model of myeloma we modeled this competition between subclones for predominance occurring spontaneously and with therapeutic selection.

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[PP.21.15] CHANGES OVER TIME IN CARDIOVASCULAR RISK PROFILE OF HIGH-RISK INDIVIDUALS

Journal of Hypertension ◽

10.1097/01.hjh.0000523792.08856.d5 ◽

2017 ◽

Vol 35 ◽

pp. e273

Author(s):

B. Georgiev ◽

N. Gothcheva ◽

E. Trendafilova ◽

V. Baytcheva ◽

D. Gotchev

Keyword(s):

Cardiovascular Risk ◽

High Risk ◽

Risk Profile ◽

Cardiovascular Risk Profile ◽

Changes Over Time ◽

Over Time

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Grey matter changes over time in high risk subjects developing schizophrenia

NeuroImage ◽

10.1016/j.neuroimage.2005.01.006 ◽

2005 ◽

Vol 25 (4) ◽

pp. 1023-1030 ◽

Cited By ~ 210

Author(s):

Dominic E. Job ◽

Heather C. Whalley ◽

Eve C. Johnstone ◽

Stephen M. Lawrie

Keyword(s):

High Risk ◽

Grey Matter ◽

Changes Over Time ◽

Over Time

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High-Risk Youth Behaviors Decreasing Over Time

Pediatric News ◽

10.1016/s0031-398x(08)70315-1 ◽

2008 ◽

Vol 42 (7) ◽

pp. 26-27

Author(s):

MARY ELLEN SCHNEIDER

Keyword(s):

High Risk ◽

High Risk Youth ◽

Over Time ◽

Youth Behaviors

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Comparison of two devices for measuring exercise transcutaneous oxygen pressures in patients with claudication

VASA ◽

10.1024/0301-1526/a000454 ◽

2015 ◽

Vol 44 (5) ◽

pp. 355-362 ◽

Cited By ~ 8

Author(s):

Marie Urban ◽

Alban Fouasson-Chailloux ◽

Isabelle Signolet ◽

Christophe Colas Ribas ◽

Mathieu Feuilloy ◽

...

Keyword(s):

Oxygen Pressure ◽

Optical Sensors ◽

Chemical Sensors ◽

Transcutaneous Oxygen ◽

Starting Values ◽

Two Systems ◽

Transcutaneous Oxygen Pressure ◽

New Sensors ◽

Changes Over Time ◽

Over Time

Abstract. Summary: Background: We aimed at estimating the agreement between the Medicap® (photo-optical) and Radiometer® (electro-chemical) sensors during exercise transcutaneous oxygen pressure (tcpO2) tests. Our hypothesis was that although absolute starting values (tcpO2rest: mean over 2 minutes) might be different, tcpO2-changes over time and the minimal value of the decrease from rest of oxygen pressure (DROPmin) results at exercise shall be concordant between the two systems. Patients and methods: Forty seven patients with arterial claudication (65 + / - 7 years) performed a treadmill test with 5 probes each of the electro-chemical and photo-optical devices simultaneously, one of each system on the chest, on each buttock and on each calf. Results: Seventeen Medicap® probes disconnected during the tests. tcpO2rest and DROPmin values were higher with Medicap® than with Radiometer®, by 13.7 + / - 17.1 mm Hg and 3.4 + / - 11.7 mm Hg, respectively. Despite the differences in absolute starting values, changes over time were similar between the two systems. The concordance between the two systems was approximately 70 % for classification of test results from DROPmin. Conclusions: Photo-optical sensors are promising alternatives to electro-chemical sensors for exercise oximetry, provided that miniaturisation and weight reduction of the new sensors are possible.

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