Matching Items (4)

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The myMS Specialist: Building Applications for Medicine

Description

Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. Multiple sclerosis is a neurological disease that attacks the

Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord.  The severity of multiple sclerosis varies based on the each person and the progression of the disease. There are roughly 2.5 million people that suffer from this disease that life is changed dramatically from being diagnosed with no main way to ease into adjusting to a new lifestyle. The increase of people that are diagnosed with multiple sclerosis, and with a majority of those people being diagnosed in their early 20’s, there is a need for an application that will help patients manage their health. Multiple sclerosis leads to a lifestyle change, which includes various treatment options as well as routine doctor appointments.  The creation of the myMS Specialist application will allow patients with multiple sclerosis to live a more comfortable lifestyle while they easily track and manage their health through their mobile devices. Our application has seven components that all play an important role in adjusting to the new everyday lifestyle for a patient with multiple sclerosis. All seven components are largely intertwined with each other to help patients realize patterns in their diet, sleep, exercise and the weather that causes their symptoms to worsen. Our application not only connects to a patient’s doctor so that there is full access of information at all time to the doctor but provides beneficial research to help further the understanding of multiple sclerosis. This application will be marketed and available for purchase to not only patients but doctors. It is our goal to lessen the burden of a new lifestyle to a patient, create constant communication with one’s doctor and provide beneficial data to researchers.

Contributors

Agent

Created

Date Created
  • 2016-05

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Iot Manufacturing

Description

As the IoT (Internet of Things) market continues to grow, Company X needs to find a way to penetrate the market and establish larger market share. The problem with Company

As the IoT (Internet of Things) market continues to grow, Company X needs to find a way to penetrate the market and establish larger market share. The problem with Company X's current strategy and cost structure lies in the fact that the fastest growing portion of the IoT market is microcontrollers (MCUs). As Company X currently holds its focus in manufacturing microprocessors (MPUs), the current manufacturing strategy is not optimal for entering competitively into the MCU space. Within the MCU space, the companies that are competing the best do not utilize such high level manufacturing processes because these low cost products do not demand them. Given that the MCU market is largely untested by Company X and its products would need to be manufactured at increasingly lower costs, it runs the risk of over producing and holding obsolete inventory that is either scrapped or sold at or below cost. In order to eliminate that risk, we will explore alternative manufacturing strategies for Company X's MCU products specifically, which will allow for a more optimal cost structure and ultimately a more profitable Internet of Things Group (IoTG). The IoT MCU ecosystem does not require the high powered technology Company X is currently manufacturing and therefore, Company X loses large margins due to its unnecessary leading technology. Since cash is king, pursuing a fully external model for MCU design and manufacturing processes will generate the highest NPV for Company X. It also will increase Company X's market share, which is extremely important given that every tech company in the world is trying to get its hands into the IoT market. It is possible that in ten to thirty years down the road, Company X can manufacture enough units to keep its products in-house, but this is not feasible in the foreseeable future. For now, Company X should focus on the cost market of MCUs by driving its prices down while maintaining low costs due to the variables of COGS and R&D given in our fully external strategy.

Contributors

Agent

Created

Date Created
  • 2016-05

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A Rhythmic Analysis of Scottish Gaelic Using Durational Metrics

Description

Languages have long been studied through the rhythm class framework, which discriminates them into separate classes on the basis of shared rhythmic properties. Originally these differences were attributed to

Languages have long been studied through the rhythm class framework, which discriminates them into separate classes on the basis of shared rhythmic properties. Originally these differences were attributed to the isochronous timing of different prosodic units, such as stress intervals in “stress-timed” languages and syllables in “syllable-timed” languages. More recent work has turned to durational metrics as a means of evaluating rhythm class, by measuring the variability and proportion of segmental intervals in the speech stream. Both isochrony and durational metrics are no longer viewed as correlative with natural language rhythm, but durational metrics in particular have remained prevalent in the literature. So long as the conclusions of durational metrics are not overextended, their analysis can provide a useful mechanism for assessing the compatibility of a language with a given rhythm class by way of comparative analysis. This study therefore presents a durational-metric comparison of Scottish Gaelic, a language which has frequently been described as stress-timed but has never been empirically tested for rhythm class, with English, a prototypical and well-studied example of a stress-timed language. The Gaelic metric scores for %V (percentage of vocalic content), ΔV (standard deviation in vocalic interval length), and ΔC (standard deviation in consonantal interval length) (Ramus et al. 1999) are shown to be very similar to those measured for English, indicating that the language displays similar patterns of durational variability and segmental proportion typically ascribed to a rhythmically stress-timed language. This provides clear support for the classification of Scottish Gaelic as stress-timed.

Contributors

Agent

Created

Date Created
  • 2020

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The syntax and lexical semantics of cognate object constructions

Description

In this thesis, I explore Cognate Object Constructions COCs (e.g. The clown "laughed" a creepy "laugh") through three research questions: (1) What verbs can accept Cognate Objects COs? (2) Why

In this thesis, I explore Cognate Object Constructions COCs (e.g. The clown "laughed" a creepy "laugh") through three research questions: (1) What verbs can accept Cognate Objects COs? (2) Why can these verbs accept COs and other verbs cannot? and (3) How are COCs derived? I demonstrate that Sorace's Hierarchy sheds light on which verbs can accept COs and which cannot by explaining the discrepancies in grammaticality judgments that exist in the literature. I then argue that Hale and Keyser's Conflation account of COCs is not minimalist because it relies on a phenomenon that can be reduced to Merge. After commenting and repairing their account, I provide an outline for a more minimalist framework, which I refer to as "Problems of Projection Extensions" PoP+, that focuses on MERGE, workspaces, labeling theory, phases, and determinacy. Inside this framework, I then develop my own account that depends on only Internal Merge and the constraint in English against stranded articles. With my account situated in this PoP+ framework, I am able to approach the research questions from a syntactic perspective, arguing that the Unergative Restriction on COCs is a result of a determinacy violation in the derivation of Unaccusative COCs. Finally, I point out that, being situated in the PoP+ framework, my account opens COCs up to further investigation not possible before.

Contributors

Agent

Created

Date Created
  • 2019