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The Role of Morphological Awareness in Listening Comprehension of Chinese Blind Children: The Mediation of Vocabulary Knowledge
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In: Psychol Res Behav Manag (2021)
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LEVERAGING PREDICTIVE ANALYTICS TO ASSESS 7TH FLEET SUSTAINMENT
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Abstract:
Increasing operational availability through logistics readiness is critical to ensure maximum safety and capability of forward deployed ships. The increased operational tempo that forward deployed ships encounter causes high impact failures that affect operational availability and the commander’s decision-making process. As forward deployed 7th fleet ships encounter casualties, unacceptable operational impacts such as out-of-stock or “redlines” occur. Repair rates may be improved by leveraging predictive analytics to understand failure data. Critical systems such as propulsion, communications, or radar are our primary focus. Areas for optimization are identified through statistical analysis of data that we have collected from 7th Fleet organizations such as NAVSUP, NAVSUP WSS, NAVSEA, CTF-73, and SURFGRUWESTPAC. We analyzed and sorted the data to identify any trends and risks that may not currently be tracked. We assessed distributions of potential failure rates, and a peacetime model was developed using Lexical Link Analysis, and then analyzed used JMP. Using our model, potential situations are built to analyze the output and optimize wait times within the constraints of manpower, funding, and availability. Future work using this model may include efforts to evolve to Phase II operations, with increased naval presence resulting in increased sustainability needs, simulated in SIMIO to test casualty and repair rates, as is shown in sample models in this thesis. ; N4 ; Lieutenant Commander, United States Navy ; Approved for public release. distribution is unlimited
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Keyword:
data sciences; demand prediction; global distribution chain; logistics; pull and push logistics; route optimization; supply; sustainment
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URL: http://hdl.handle.net/10945/65448
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Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia ...
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Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia
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Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia
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In: Brain Commun (2020)
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Contributions of morphological awareness and rapid automatized naming (RAN) to Chinese children’s reading comprehension versus reading fluency: evidence from a longitudinal mediation model [<Journal>]
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DNB Subject Category Language
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MV-22 SUPPLY CHAIN AGILITY: A STATIC SUPPLY CHAIN SUPPORTING A DYNAMIC DEPLOYMENT
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Relating resting-state hemodynamic changes to the variable language profiles in post-stroke aphasia
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Using D3 to Visualize Lexical Link Analysis (LLA) and ADS-B Data
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Gomphidictinus tongi Zhang & Guan & Wang 2017, sp. nov. ...
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Gomphidictinus tongi Zhang & Guan & Wang 2017, sp. nov. ...
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Leveraging Lexical Link Analysis (LLA) to discover new knowledge
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Functional Anatomy of Recognition of Chinese Multi-Character Words: Convergent Evidence from Effects of Transposable Nonwords, Lexicality, and Word Frequency
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Diabetes and Hypertension Consistently Predict the Presence and Extent of Coronary Artery Calcification in Symptomatic Patients: A Systematic Review and Meta-Analysis
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Leveraging Lexical Link Analysis (LLA) To Discover New Knowledge
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In: Military Cyber Affairs (2016)
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Cis-regulatory architecture of a brain-signaling center predates the origin of chordates
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Functional Anatomy of Recognition of Chinese Multi-Character Words: Convergent Evidence from Effects of Transposable Nonwords, Lexicality, and Word Frequency
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Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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In: DTIC (2014)
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Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal Phase II
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In: DTIC (2014)
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