George Wang

Johnson & Johnson (United States)

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Edward E. K. Baidoo

Joint BioEnergy Institute

Jay D. Keasling

Lawrence Berkeley National Laboratory

Don Chen

University of North Carolina at Charlotte

R.E. Knoblauch

Janssen (United States)

Yuhong Wang

Hong Kong Polytechnic University

George D. Demetri

Dana-Farber Cancer Institute

Christopher J. Petzold

Joint BioEnergy Institute

Taek Soon Lee

Lawrence Berkeley National Laboratory

Jaafar N. Haidar

Dragonfly Therapeutics (United States)

Margaret von Mehren

Fox Chase Cancer Center

Cooperative Institutions

Icahn School of Medicine at Mount Sinai

American College of Medical Toxicology

Washington Poison Center

University of Colorado Denver

Joint BioEnergy Institute

Sandia National Laboratories California

Lawrence Berkeley National Laboratory

University of California, Berkeley

Binghamton University

The American College

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Low-Temperature Processing for Atomically Precise Dopant Incorporation with CMOS Integration.

Scott Schmucker Evan M. Anderson Esther Frederick Jeffrey Ivie Ezra Bussmann

Dopant Activation

10.2172/1830910

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Citations (0)

Some conjectures on the Schur expansion of Jack polynomials

arXiv (Cornell University) (2018)

Per Alexandersson James Haglund George Wang

We present positivity conjectures for the Schur expansion of Jack symmetric functions in two bases given by binomial coefficients. Partial results suggest that there are rich combinatorics to be found in these bases, including Eulerian numbers, Stirling numbers, quasi-Yamanouchi tableaux, and rook boards. These results also lead to further conjectures about the fundamental quasisymmetric expansions of these bases, which we prove for special cases.

Schur polynomial

Binomial theorem

Binomial coefficient

Binomial (polynomial)

Symmetric function

10.48550/arxiv.1810.12763

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Citations (1)

Corrosion Protection of Ships

Elsevier eBooks (2018)

Chao Wei George Wang Marcus Cridland D.L. Olson Stephen Liu

Shipyard

Service life

10.1016/b978-0-323-52472-8.00026-5

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Citations (18)

Risk Considerations in the Use of Unmanned Aerial Vehicles in the Construction Industry

Journal of risk analysis and crisis response (2016)

George Wang Donna Hollar Susan Sayger Zhen Zhu John S. Buckeridge

The use of unmanned aerial vehicles (UAVs) in the construction industry is swiftly growing worldwide.UAVs are changing the way construction companies do business.Contractors are increasingly using camera-mounted UAVs to monitor the full range of activities.Rapid advances in camera, sensing, aeronautics, battery and autopilot navigation technologies have helped make UAVs affordable, reliable and easy to operate.The US Federal Aviation Administration predicts that UAVs hold tremendous promise and commercial drone sales could increase from 600,000 to 2.7 million over the next four years.On the one hand, UAVs are extremely cost-effective in conducting aerial surveys, worksite surveillance, real-time inspections, and monitoring jobsite safety.On the other hand, with UAV ownership rapidly rising, the number of reported UAV safety, risk, and liability incidents is increasing.With this new technology use in the construction industry, construction companies must be aware of all regulations, legislations, privacy liability, and risks for construction related businesses.Operating a drone or hiring a subcontractor to operate it is not something to do on the spur of the moment.Emphasis and effort should be placed on safety, risk control, training and education.The goal of this paper is to provide construction professionals with timely and pertinent information on UAV use with a focus on risk management based on current industry practice, experience and literature review.

Drone

Autopilot

10.2991/jrarc.2016.6.4.1

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Citations (9)

Ethics for Construction Engineers and Managers in a Globalized Market

Philosophy of engineering and technology (2015)

George Wang John S. Buckeridge

Professional ethics

Professional association

10.1007/978-3-319-18260-5_10

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Citations (3)

Highway Pavement Type, Structure, and Selection

Routledge eBooks (2024)

George Wang Jennifer Brandenburg Don Chen

10.1201/9781003197768-3

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Citations (0)

Transportation Infrastructure Construction Administration

Routledge eBooks (2024)

George Wang Jennifer Brandenburg Don Chen

10.1201/9781003197768-13

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Unit Roots in Time Series with Changepoints

International Journal of Statistics and Probability (2017)

Ed Herranz James E. Gentle George Wang

Many financial time series are nonstationary and are modeled as ARIMA processes; they are integrated processes (I(n)) which can be made stationary (I(0)) via differencing n times. I(1) processes have a unit root in the autoregressive polynomial. Using OLS with unit root processes often leads to spurious results; a cointegration analysis should be used instead. Unit root tests (URT) decrease spurious cointegration. The Augmented Dickey Fuller (ADF) URT fails to reject a false null hypothesis of a unit root under the presence of structural changes in intercept and/or linear trend. The Zivot and Andrews (ZA) (1992) URT was designed for unknown breaks, but not under the null hypothesis. Lee and Strazicich (2003) argued the ZA URT was biased towards stationarity with breaks and proposed a new URT with breaks in the null. When an ARMA(p,q) process with trend and/or drift that is to be tested for unit roots and has changepoints in trend and/or intercept two approaches that can be taken: One approach is to use a unit root test that is robust to changepoints. In this paper we consider two of these URT's, the Lee-Strazicich URT and the Hybrid Bai-Perron ZA URT(Herranz, 2016.) The other approach we consider is to remove the deterministic components with changepoints using the Bai-Perron breakpoint detection method (1998, 2003), and then use a standard unit root test such as ADF in each segment. This approach does not assume that the entire time series being tested is all I(1) or I(0), as is the case with standard unit root tests. Performances of the tests were compared under various scenarios involving changepoints via simulation studies. Another type of model for breaks, the Self-Exciting-Threshold-Autoregressive (SETAR) model is also discussed.

Spurious relationship

Null (SQL)

Unit root test

Unit circle

10.5539/ijsp.v6n6p127

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Citations (1)

CMV Infection and Frailty: Immunologic Consequences and Disease Pathogenesis

Springer eBooks (2017)

George Wang Yen‐Ling Chiu Jeremy Walston

Pathogenesis

Cytomegalovirus