Rural Public Transportation and Maine: Review of State Best Practices

MaineDOT has a family of transit plans that have been developed over the past five years through collaborative efforts with partners and stakeholders. These plans share similar themes, guidance, and recommendations and tie into the Department’s last Strategic Plan, which was completed in 2016. However, since their development, there have been a number of important and related efforts and developments that impact the strategic vision and plan for transit services in Maine. This report reviews how other states with similar demographics, population disbursements, and climates are addressing their transit challenges, with a focus on rural areas, access, and equity. One caution is that states and transit agencies do not use the same metrics when reporting program costs and benefits

Credit Enhancement Strategies for Higher Efficiency Vehicles in Maine

Credit enhancements are a necessary, but not sufficient policy tool to expand access to clean, reliable vehicles. They are necessary because lower-income and historically disadvantaged groups have less access to low-cost financing. They are not sufficient in that credit enhancements alone, while helpful, are not likely to substantially increase the purchase of clean, reliable vehicles with a higher initial purchase price, but comparable or lower long-term cost of ownership. We review two credit enhancement mechanisms: loan loss reserves and interest rate buy-downs

Electric, Hybrid and High Fuel Efficiency Vehicles: Cost-Effective and Equitable GHG Emission Reductions in Maine

Maine’s transportation sector accounts for 54% of Maine’s CO2 emissions, with almost all of this coming from gasoline and diesel (MDEP 2020). On a per-capita basis, Maine’s transportation sector is about average for the nation (rank 24 out of 50). Reducing transportation-related petroleum demand and emissions will benefit Maine’s economy. This can be achieved by increasing vehicle efficiency, switching to alternative fuels (e.g., electricity, biofuels) that have lower emissions per mile, and by reducing the demand for motorized transportation. These actions can and should be done while meeting social equity goals that account for regional, income and racial inequalities. The GHG benefits of electric vehicles (EVs) are particularly strong in states such as Maine that have electrical grids relying on renewable energy sources and natural gas. However, given the low current sales rate of new EVs, less than 2% in Maine, EV-focused programs do not affect the overwhelming majority of current new vehicle purchases. We provide some estimates of possible fuel and GHG savings from a used high mile-per-gallon (MPG) vehicle incentive program for Maine. These are based on common Maine vehicles and represent savings if drivers participate in the program. The GHG emission reductions realized will depend on the specifics of the program implementation and the linkage of such a program with a scrappage program to remove the least efficient vehicles from Maine’s roads

Bid Inflation for Highway and Bridge Projects: Challenges & Solutions—A Report to the Maine Department of Transportation

The past two years have been a challenging time for both firms and state authorities in Maine’s highway and bridge construction industry. This report examines the factors affecting bid inflation for highway and bridge projects in Maine. It explores trends in contract bidding behavior, construction cost inflation, supply side challenges in Maine, and competition in Maine’s public roadways paving industry

Perspective review on solid-organ transplant: Needs in point-of-care optical biomarkers

Solid-organ transplant is one of the most complex areas of modern medicine involving surgery. There are challenging opportunities in solid-organ transplant, specifically regarding the deficiencies in pathology workflow or gaps in pathology support, which may await alleviations or even de novo solutions, by means of point-of-care, or point-of-procedure optical biomarkers. Focusing the discussions of pathology workflow on donor liver assessment, we analyze the undermet need for intraoperative, real-time, and nondestructive assessment of the donor injuries (such as fibrosis, steatosis, and necrosis) that are the most significant predictors of post-transplant viability. We also identify an unmet need for real-time and nondestructive characterization of ischemia or irreversible injuries to the donor liver, earlier than appearing on morphological histology examined with light microscopy. Point-of-procedure laparoscopic optical biomarkers of liver injuries and tissue ischemia may also facilitate post-transplant management that is currently difficult for or devoid of pathological consultation due to lack of tools. The potential and pitfalls of point-of-procedure optical biomarkers for liver assessment are exemplified in breadth for steatosis. The more general and overarching challenges of point-of-procedure optical biomarkers for liver transplant pathology, including the shielding effect of the liver capsule that was quantitated only recently, are projected. The technological and presentational benchmarks that a candidate technology of point-of-procedure optical biomarkers for transplant pathology must demonstrate to motivate clinical translation are also foreseen.Electrical and Computer Engineerin

Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing

Labeled data is a critical resource for training and evaluating machine learning models. However, many real-life datasets are only partially labeled. We propose a semi-supervised machine learning training strategy to improve event detection performance on sequential data, such as video recordings, when only sparse labels are available, such as event start times without their corresponding end times. Our method uses noisy guesses of the events' end times to train event detection models. Depending on how conservative these guesses are, mislabeled false positives may be introduced into the training set (i.e., negative sequences mislabeled as positives). We further propose a mathematical model for estimating how many inaccurate labels a model is exposed to, based on how noisy the end time guesses are. Finally, we show that neural networks can improve their detection performance by leveraging more training data with less conservative approximations despite the higher proportion of incorrect labels. We adapt sequential versions of MNIST and CIFAR-10 to empirically evaluate our method, and find that our risk-tolerant strategy outperforms conservative estimates by 12 points of mean average precision for MNIST, and 3.5 points for CIFAR. Then, we leverage the proposed training strategy to tackle a real-life application: processing continuous video recordings of epilepsy patients to improve seizure detection, and show that our method outperforms baseline labeling methods by 10 points of average precision

Effects of capsule on surface diffuse reflectance spectroscopy of the subcapsular parenchyma of a solid organ

We hypothesize that the capsular optical properties and thickness combined affect how accurate the diffuse reflectance on the surface of a capsular solid organ represents that on the subcapsular parenchyma. Monte Carlo simulations on two-layer geometries evaluated how a thin superficial layer with the thickness from 10 to 1000μm affected the surface diffuse reflectance over a source-detector separation spanning 0.01 to 10 mm. The simulations represented the superficial layer presenting various contrasts concerning refractive index, anisotropy factor, absorption coefficient, and reduced scattering coefficient, versus those of the subsurface main medium. An analytical approach modeled the effects of the superficial layer of various thicknesses and optical properties on diffuse reflectance. Diffuse reflectance spectroscopy was performed ex vivo on 10 fresh human livers and 9 fresh human kidneys using a surface probe with a 3-mm source-detector separation. The difference of the device-specific diffuse reflectance on the organ between with the capsule and without the capsule has significantly greater spectral variation in the kidney than in the liver. The significantly greater spectral deviation of surface diffuse reflectance between with and without the capsule in the kidney than in the liver was analytically accountable by considering the much thicker capsule of the kidney than of the liver.Electrical & Computer Engineerin

CXCL12 Mediates Trophic Interactions between Endothelial and Tumor Cells in Glioblastoma

Emerging evidence suggests endothelial cells (EC) play a critical role in promoting Glioblastoma multiforme (GBM) cell proliferation and resistance to therapy. The molecular basis for GBM-EC interactions is incompletely understood. We hypothesized that the chemokine CXCL12 and its receptor CXCR4 could mediate direct interactions between GBM cells and tumor-associated endothelial cells and that disruption of this interaction might be the molecular basis for the anti-tumor effects of CXCR4 antagonists. We investigated this possibility in vivo and in an in vitro co-culture model that incorporated extracellular matrix, primary human brain microvascular ECs (HBMECs) and either an established GBM cell line or primary GBM specimens. Depletion of CXCR4 in U87 GBM cells blocked their growth as intracranial xenografts indicating that tumor cell CXCR4 is required for tumor growth in vivo. In vitro, co-culture of either U87 cells or primary GBM cells with HBMECs resulted in their co-localization and enhanced GBM cell growth. Genetic manipulation of CXCL12 expression and pharmacological inhibition of its receptors CXCR4 and CXCR7 revealed that the localizing and trophic effects of endothelial cells on GBM cells were dependent upon CXCL12 and CXCR4. These findings indicate that the CXCL12/CXCR4 pathway directly mediates endothelial cell trophic function in GBMs and that inhibition of CXCL12-CXCR4 signaling may uniquely target this activity. Therapeutic disruption of endothelial cell trophic functions could complement the structural disruption of anti-angiogenic regimens and, in combination, might also improve the efficacy of radiation and chemotherapy in treating GBMs