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Articles 1 - 3 of 3
Full-Text Articles in Engineering
From Hunch To Analysis: Risk Management In Tiered Dispute Resolution Processes, Troy L. Harris
From Hunch To Analysis: Risk Management In Tiered Dispute Resolution Processes, Troy L. Harris
Pepperdine Dispute Resolution Law Journal
The dispute resolution is process is filled with risk that decision-makers must identify, analyze, and manage. Risks can include unclear and conflicting objectives and uncertainties regarding strategic alternatives. While many litigators are adept at identifying these risks, systematic analysis and management of them is not typically part of lawyers’ education or training. And yet there is a rich body of management scholarship devoted to risk analysis and decision-making based upon multiple criteria. This article brings the insights of this management literature to bear upon a phenomenon commonly found in relational contracting, the “tiered” dispute resolution process. The article demonstrates that …
Modes Of Fracture Of Flat Bone: Fracture Direction And Stress, Nolan Wang, Mary K. Holden, Everett Baker, Nathaniel Lerch, Nate Fitch
Modes Of Fracture Of Flat Bone: Fracture Direction And Stress, Nolan Wang, Mary K. Holden, Everett Baker, Nathaniel Lerch, Nate Fitch
Seaver College Research And Scholarly Achievement Symposium
This study delineates the application of fractography to discern the multifaceted modes of fracture in flat bones, explicating the interplay between fracture directionality and stress states regarding the viscoelastic nature of bone. Despite the perceived brittleness, bone exhibits toughness, attributed to its intricate structure design and amalgamating properties of solid and viscous materials. This research elucidates the variegated fracture modes inherent to bone's dualistic nature by examining fracture surfaces and identifying fracture markings using stereoscopic microscopy. Our observations across seven bone specimens reveal predominant fracture patterns from top to bottom in six instances, with a singular deviation where the fracture …
Machine Learning Prediction Of Photoluminescence In Mos2: Challenges In Data Acquisition And A Solution Via Improved Crystal Synthesis, Ethan Swonger, John Mann, Jared Horstmann, Daniel Yang
Machine Learning Prediction Of Photoluminescence In Mos2: Challenges In Data Acquisition And A Solution Via Improved Crystal Synthesis, Ethan Swonger, John Mann, Jared Horstmann, Daniel Yang
Seaver College Research And Scholarly Achievement Symposium
Transition metal dichalcogenides (TMDCs) like molybdenum disulfide (MoS2) possess unique electronic and optical properties, making them promising materials for nanotechnology. Photoluminescence (PL) is a key indicator of MoS2 crystal quality. This study aimed to develop a machine-learning model capable of predicting the peak PL wavelength of single MoS2 crystals based on micrograph analysis. Our limited ability to consistently synthesize high-quality MoS2 crystals hampered our ability to create a large set of training data. The project focus shifted towards improving MoS2 crystal synthesis to generate improved training data. We implemented a novel approach utilizing low-pressure chemical vapor deposition (LPCVD) combined with …