Timothy M. Young
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Voltage imaging with periodic structured illumination Open
We utilize periodic structured illumination with pseudo-HiLo (pHiLo) image reconstruction for in vivo voltage imaging. We demonstrate reduced signal from out-of-focus cells, which contaminates voltage activity for in-focus cells of interes…
A New Deepfake Detection Method with No-Reference Image Quality Assessment to Resist Image Degradation Open
Deepfake technology, which utilizes advanced AI models such as Generative Adversarial Networks (GANs), has led to the proliferation of highly convincing manipulated media, posing significant challenges for detection. Existing detection met…
Embodied Energy and Carbon Footprint of Concrete Compared to Other Construction Materials Open
The main objective of infrastructure design codes is to protect the public’s welfare, health, and safety, none of which appear directly related to the current sustainability movement that has focused on protecting the natural environment, …
Predicting firm performance and size using machine learning with a Bayesian perspective Open
This paper investigates the issue of predicting the financial performance of firms in registered manufacturing in developing countries using machine learning methods along with economic theory to explain the findings. While literature sugg…
Quantifying the Natural Variation of ‘Data Signatures’ from Aerosols Using Statistical Control Bands Open
The natural variation of the data signatures of airborne aerosols from calibrated cigarette particles were quantified using enhanced Bonferroni methods. The significance of the problem of improving analytical methods for understanding the …
Next Generation Logistics Systems for Delivering Optimal Biomass Feedstocks to Biorefining Industries in the Southeastern U.S. Open
The diverse portfolio of biomass sources that is available in the Southeastern U.S., including a significant supply of pine “residue”, represents a valuable strategic position for the region. Through blends formulated based on critical pro…
On the Use of Copula for Quality Control Based on an AR(1) Model Open
Manufacturing for a multitude of continuous processing applications in the era of automation and ‘Industry 4.0’ is focused on rapid throughput while producing products of acceptable quality that meet customer specifications. Monitoring the…
View article: Thermal conductivity of different bio-based insulation materials
Thermal conductivity of different bio-based insulation materials Open
To achieve the zero-waste goal as well as sustainability, the use of the raw materials, especially those from nature, and wood in particular, has to be smart, meaning that the resource has to be used to its full potential. Since wood-based…
Matching Score Models for Hyperspectral Range Analysis to Improve Wood Log Traceability by Fingerprint Methods Open
Traceability of natural resources, from the cradle to the final product is a crucial issue to secure sustainable material usage as well as to optimize and control processes over the whole supply chain. In the forest products industries the…
Improving Innovation from Science Using Kernel Tree Methods as a Precursor to Designed Experimentation Open
A key challenge in applied science when planning a designed experiment is to determine the aliasing structure of the interaction effects and selecting the appropriate levels for the factors. In this study, kernel tree methods are used as p…
Mitigation of Ammonia Emissions from Cattle Manure Slurry by Tannins and Tannin-Based Polymers Open
With the extensive use of nitrogen-based fertilizer in agriculture, ammonia emissions, especially from cattle manure, are a serious environmental threat for soil and air. The European community committed to reduce the ammonia emissions by …
Statistical Process Control and Related Methods for Improvement of the Treated-Wood Industries Open
An approach for implementing statistical process control and other statistical methods as a cost-savings measure in the treated-wood industries is outlined. The purpose of the study is to use industry data to improve understanding of the a…
Visible-Near Infrared Spectroscopy and Chemometric Methods for Wood Density Prediction and Origin/Species Identification Open
This study aimed to rapidly and accurately identify geographical origin, tree species, and model wood density using visible and near infrared (Vis-NIR) spectroscopy coupled with chemometric methods. A total of 280 samples with two origins …
A spatially explicit approach to modeling biological productivity and economic attractiveness of short-rotation woody crops in the eastern USA Open
Over the past two decades, the United States government conducted detailed analyses of the potential of a biobased national energy strategy that produced four unified studies, namely the 2005–2016 US Billion-Ton Study and updates. With eac…
Detecting special-cause variation ‘events’ from process data signatures Open
The ability to detect the special-cause variation of incoming feedstocks from advanced sensor technology is invaluable to manufacturers. Many on-line sensors produce data signatures that require further off-line statistical processing for …
Accurately estimating and minimizing costs for the cellulosic biomass supply chain with statistical process control and the Taguchi Loss Function Open
This research focuses on the statistical evaluation of the feedstock attributes of the biomass supply chain and the estimation of attribute costs as a function of the feedstock variability. Challenges of using cellulosic feedstocks include…
Enterprise Zones, Poverty, and Labor Market Outcomes: Resolving Conflicting Evidence Open
This paper revisits an important analysis of enterprise zones (EZs) by Ham, Swenson, Imrohoroğlu, and Song (2011), who report substantial poverty reductions from state and federal EZs, as well as improvements in other labor market outcomes…
Proposing an Expanded Measure for Comparing Online/Hybrid to Face-to-face Courses Open
Online education continues to increase. With increased online offerings, it is important to evaluate the integrity or equivalence of online/hybrid courses relative to face-to-face (F2F) courses. This study used three separate samples of bu…
A Geospatial Biomass Supply Model Adjusted for Risk Open
Assessing the economic supply of biomass in a geospatial context while accounting for risk from natural disasters was studied. Risk levels were estimated from a component of factors which included: population density, road density, federal…
View article: Phenotypic Characterization of <i>EIF2AK4</i> Mutation Carriers in a Large Cohort of Patients Diagnosed Clinically With Pulmonary Arterial Hypertension
Phenotypic Characterization of <i>EIF2AK4</i> Mutation Carriers in a Large Cohort of Patients Diagnosed Clinically With Pulmonary Arterial Hypertension Open
Background: Pulmonary arterial hypertension (PAH) is a rare disease with an emerging genetic basis. Heterozygous mutations in the gene encoding the bone morphogenetic protein receptor type 2 ( BMPR2 ) are the commonest genetic cause of PAH…
Impact of Trucking Network Flow on Preferred Biorefinery Locations in the Southern United States Open
The impact of the trucking transportation network flow was modeled for the southern United States. The study addresses a gap in existing research by applying a Bayesian logistic regression and Geographic Information System (GIS) geospatial…
Geospatial Economics of the Woody Biomass Supply in Kansas – A Case Study Open
This research assessed the geospatial supply of cellulosic feedstocks for potential mill sites in Kansas (KS), with procurement zones extending to Arkansas (AR), Iowa (IA), Missouri (MO), Oklahoma (OK), and Nebraska (NE). A web-based model…