Strong Depth Relevance

Relevant logics infamously have the property that they only validate a conditional when some propositional variable is shared between its antecedent and consequent. This property has been strengthened in a variety of ways over the last half-century. Two of the more famous of these strengthenings are the strong variable sharing property and the depth relevance property. In this paper I demonstrate that an appropriate class of relevant logics has a property that might naturally be characterized as the supremum of these two properties. I also show how to use this fact to demonstrate that these logics seem to be constructive in previously unknown ways

The Effects of Minimalist Footwear on Running Economy a Critically Appraised Topic

Undergraduate Theoretical Proposa

How They See It: Employer Perceptions of Online Versus Traditional Learning at the Graduate Level

This study is part of a larger dissertation study that explored perceptions of Public Relations (PR) among graduate higher education publics regarding distance learning as contrasted with face-to-face learning contexts. Today, online degrees are seen as inferior to traditional, face-to-face classroom degrees, and because one primary goal of obtaining a higher education degree is to receive gainful employment, this portion of the dissertation study assessed employer perceptions of online versus traditional education at the graduate level. Human resource administrators from educational establishments who had experience hiring people with graduate education degrees were interviewed. The findings of this study indicate that employers have a positive impression of online learning, dependent on the discipline. However, employers do not hold a positive view of degrees obtained from for-profit institutions. Lastly, the findings indicate that colleges and universities should strive to ensure rigor and quality in their online offerings while exploring ways to engage students in their virtual classrooms

An Architectural Design to Address the Impact of Adaptations on Intrusion Detection Systems

Many self-adaptive, autonomous systems rely on component technologies to report anomalies to planning processes that can choose adaptations. What if the analysis technologies themselves need to be adapted? We consider an intrusion detection system (IDS) supported by two component technologies that assist its decision making: a neural network that finds security anomalies and an attack graph that informs the IDS about system states of interest. The IDS’s purpose is to send alerts regarding security anomalies. Planning processes respond to alerts by selecting mitigation strategies. Mitigations are imposed system-wide and can result in adaptations to the analysis technology, such as the IDS. Thus, without adaptation it may reach a state of stagnation in its detection quality. In this paper, we describe an architectural design for an adaptive layer that works directly with an IDS. We examine two use cases involving different mitigation strategies and their impact on the IDS’s supporting components

Putting the Stars in their Places

This paper presents a new semantics for the weak relevant logic DW that makes the role of the infamous Routley star more explicable. Central to this rewriting is combining aspects of both the American and Australian plan for understanding negations in relevance logics

Israel's Messianic hope

[We use the term “Messianic Hope" in the widest sense in which it is common to include all the O.T. predictions which relate to the final completion of the Kingdom of God and the glorification of His people. In the narrower sense the Messianic Hope may refer to an ideal king and ruler of God's people. But as the latter is the least constant element in the Messianic Hope we shall adopt the former view in this discussion.

Mug for Tremors

Melissa Oliver, an occupational therapist at McGuire VA Medical Center, works extensively with veterans who struggle with certain daily activities due to their hand tremors. Hand tremors caused by essential tremor, Parkinson’s Disease, or other physical or neurological impairments can greatly affect an individual’s ability to perform daily tasks. One of these tasks include the ability to handle beverages, as hand tremors can cause excessive sloshing and spilling of liquid. Melissa reached out to find a way to help veterans with hand tremors easily consume liquids. Our team, consisting of Logan Smith, Allen Tecson, Jaret Wedow, and Kai Workman, was tasked with creating a stabilizing mug capable of resisting motion due to hand tremors. After designing, prototyping, and iterating, we constructed a final prototype. Our final design features custom 3D printed components integrated with electronics to make the mug actively detect and counteract hand tremors. Two Brushless DC Motors allow the cup to rotate along two axes of rotation after receiving signals from the sensors and controller board located in the bottom of the mug. A removable mug liner allows for easy cleaning and ensures the electronic components stay dry