scholarly journals JAIC Predictive Maintenance Dashboard user manual

2021 ◽  
Author(s):  
Joshua Church ◽  
LaKenya Walker ◽  
Amy Bednar
Keyword(s):  
Predictive Maintenance ◽  
Accurate Representation ◽  
Additional Information ◽  
Primary Focus

This manual is intended for new users with minimal or no experience with using the JAIC Predictive Maintenance Dashboard (JPD). The goal of this document is to give an overview of the main functions of JPD. The primary focus of this document is to demonstrate functionality. Every effort has been made to ensure this document is an accurate representation of the functionality of the JPD. For additional information about this manual, contact [email protected].

scholarly journals Associated Words Explorer (AWE) user manual

2021 ◽  
Author(s):  
Joshua Church ◽  
LaKenya Walker ◽  
Amy Bednar
Keyword(s):  
Accurate Representation ◽  
Additional Information ◽  
Primary Focus

This manual is intended for new users with minimal or no experience with using the Associated Word Explorer (AWE) tool. The goal of this document is to give an overview of the main functions of AWE. The primary focus of this document is to demonstrate functionality. Every effort has been made to ensure this document is an accurate representation of the functionality of the AWE tool. For additional information about this manual, contact [email protected].

Iterative Learning Algorithm for Records Analysis (ILARA) user manual

2021 ◽  
Author(s):  
Joshua Church ◽  
LaKenya Walker ◽  
Amy Bednar
Keyword(s):  
Learning Algorithm ◽  
Iterative Learning ◽  
Accurate Representation ◽  
Additional Information ◽  
Primary Focus

This manual is intended for new users with minimal or no experience with using the Iterative Learning Algorithm for Records Analysis (ILARA) tool. The goal of this document is to give an overview of the main functions of ILARA. The primary focus of this document is to demonstrate functionality. Every effort has been made to ensure this document is an accurate representation of the functionality of the ILARA tool. For additional information about this manual, contact [email protected].

scholarly journals Data Documentation Tool (DDoT) user manual

2021 ◽  
Author(s):  
LaKenya Walker ◽  
Joshua Church ◽  
Amy Bednar
Keyword(s):  
Accurate Representation ◽  
Additional Information ◽  
Primary Focus ◽  
Data Documentation ◽  
Documentation Tool

This manual is intended for new users with minimal or no experience with using the Data Documentation Tool. The goal of this document is to give an overview of the main functions of DDoT. The primary focus of this document is to demonstrate functionality. Every effort has been made to ensure this document is an accurate representation of the functionality of the DDoT. For additional information about this manual, contact [email protected].

scholarly journals Conflicts in legal knowledge base

2012 ◽  
Vol 37 (2) ◽  
pp. 129-145 ◽  
Author(s):  
Tomasz Zurek
Keyword(s):  
Knowledge Base ◽  
Legal System ◽  
Inference Rules ◽  
Legal Knowledge ◽  
Accurate Representation ◽  
Clear Cut ◽  
Advisory System ◽  
Legal Problems ◽  
Primary Focus

Abstract The simulation of inference processes performed by lawyers can be seen as one way to create advisory legal system. In order to simulate such a process as accurately as possible, it is indispensable to make a clear-cut distinction between the provision itself, and its interpretation and inference mechanisms. This distinction would allow for preserving both the universal character of the provision and its applicability to various legal problems. The authors main objective was to model a selected legal act, together with the inference rules applied, and to represent them in an advisory system, focusing on the most accurate representation of both the content and inference rules. Given that the laws which stand in contradiction prove to be the major challenge, they will constitute the primary focus of this study.

scholarly journals The role of stem cells in uterine involution

Reproduction ◽  
2021 ◽  
Vol 161 (3) ◽  
pp. R61-R77
Author(s):  
Madelyn K Spooner ◽  
Yasser Y Lenis ◽  
Rachel Watson ◽  
Daniela Jaimes ◽  
Amanda L Patterson
Keyword(s):  
Stem Cells ◽  
Stromal Cell ◽  
Embryo Implantation ◽  
Future Research ◽  
General Process ◽  
Additional Information ◽  
Uterine Involution ◽  
Primary Focus ◽  
Definition Of

Uterine remodeling during pregnancy and repair postpartum are fundamental to the successful propagation of eutherian species. The most drastic remodeling occurs in species with invasively implanting embryos, including humans and mice. During embryo implantation, embryonic trophoblasts breach the epithelium, penetrating into the stroma. Stromal cell decidualization, which is critical for the establishment and maintenance of early pregnancy, occurs throughout the implantation site. Trophoblasts further invade into and remodel uterine spiral arteries, which is necessary for placental formation. The uterus increases in size up to 24-fold, which is largely attributed to myometrial expansion. Uterine changes that occur during pregnancy must then be resolved postpartum. Following parturition, the uterus repairs the remodeled tissue in the process of uterine involution. During involution, the majority of the endometrium is regenerated to replace the tissue that is shed postpartum. The myometrium returns to the pre-gravid state which is thought to occur through apoptosis and autophagy of smooth muscle cells. Although we understand the general process of postpartum uterine involution, the detailed mechanisms, particularly the role of putative stem cells, are poorly understood. This review discusses the evidence for the existence of epithelial, stromal and myometrial stem cells and their role in uterine involution. Gaps in knowledge and areas for future research are also considered. Studies of both postpartum and menstrual uterine repair, which likely involve similar mechanisms, are described under the broad definition of uterine involution. Although the primary focus of this review is human, mouse models are discussed to provide additional information.

scholarly journals Anomaly Detection for Predictive Maintenance in Industry 4.0- A survey

2020 ◽  
Vol 170 ◽  
pp. 02007
Author(s):  
Pooja Kamat ◽  
Rekha Sugandhi
Keyword(s):  
Anomaly Detection ◽  
Manufacturing Industry ◽  
Remaining Useful Life ◽  
Predictive Maintenance ◽  
Financial Loss ◽  
Lower Productivity ◽  
Useful Life ◽  
Primary Focus ◽  
Periodic Replacement ◽  
Detection Strategies

Maintenance and reliability professionals in the manufacturing industry have the primary goal of improving asset availability. Poor and fewer maintenance strategies can result in lower productivity of machinery. At the same time unplanned downtimes due to frequent maintenance activities can lead to financial loss. This has put organizations’ thought process into a trade-off situation to choose between extending the remaining functional life of the equipment at the risk of taking machine down (run-to-failure) or attempting to improve uptime by carrying out early and periodic replacement of potentially good parts which could have run successfully for a few more cycles. Predictive maintenance (PdM) aims to break these tradeoffs by empowering manufacturers to improve the remaining useful life of their machines and at the same time avoiding unplanned downtime and decreasing planned downtime. Anomaly detection lies at the core of PdM with the primary focus on finding anomalies in the working equipment at early stages and alerting the manufacturing supervisor to carry out maintenance activity. This paper describes the challenges in traditional anomaly detection strategies and propose a novel deep learning technique to predict abnormalities ahead of actual failure of the machinery.

The Professional Development School

2011 ◽  
pp. 99-108
Author(s):  
George W. Semich ◽  
Beatrice Gibbons
Keyword(s):  
Professional Development ◽  
Faculty Training ◽  
Additional Information ◽  
Implementing Change ◽  
Use Of Technology ◽  
Innovation In Education ◽  
Shared Information ◽  
Primary Focus ◽  
Technology In Classroom ◽  
Pennsylvania Department Of Education

In his recent text (2011), Educational Leadership and Planning for Technology, Picciano noted that “an important ingredient for implementing change, improvement, and innovation in education is a knowledgeable and vibrant staff “(p. 215). However, there is a body of research (Goodson,1991; Becker, 1994; U.S. Congress, 1995; Northrup & Little, 1996; Trotter, 1999;Cuban, 2001; Park & Staresina, 2004; Christensen, Horn, and Johnson, 2009;Hargreaves, Earl, & Schmidt, 2002), that clearly indicates that teachers are not making the best use of technology in classroom. To meet this challenge,the authors secured a professional development grant from the Pennsylvania Department of Education which provided an opportunity for them to hire a highly skilled workshop facilitator who conducted a full day workshop that covered smart board technologies, web quests, and synchroneyes software to a group of teachers from our local PDS school. In an earlier chapter, the authors shared information about the workshop. The primary focus of this chapter is to revisit our findings from the faculty training workshop and present additional information from the faculty perspective and the current relate literature.

Production of New and Revised A.A.V.S.O. Charts

1979 ◽  
Vol 46 ◽  
pp. 368
Author(s):  
Clinton B. Ford
Keyword(s):  
Variable Star ◽  
Standard Form ◽  
Original Data ◽  
University Of Pennsylvania ◽  
Standard Format ◽  
Additional Information ◽  
The Gift ◽  
The University

A “new charts program” for the Americal Association of Variable Star Observers was instigated in 1966 via the gift to the Association of the complete variable star observing records, charts, photographs, etc. of the late Prof. Charles P. Olivier of the University of Pennsylvania (USA). Adequate material covering about 60 variables, not previously charted by the AAVSO, was included in this original data, and was suitably charted in reproducible standard format.Since 1966, much additional information has been assembled from other sources, three Catalogs have been issued which list the new or revised charts produced, and which specify how copies of same may be obtained. The latest such Catalog is dated June 1978, and lists 670 different charts covering a total of 611 variables none of which was charted in reproducible standard form previous to 1966.

Convergent Beam Electron Diffraction

1978 ◽  
Vol 36 (3) ◽  
pp. 304-315
Author(s):  
G. Lehmpfuhl
Keyword(s):  
Electron Diffraction ◽  
Diffraction Pattern ◽  
Crystal Surface ◽  
Diffraction Spot ◽  
Crystal Thickness ◽  
Large Area ◽  
Electron Microscopic ◽  
Additional Information ◽  
Microscopic Investigations

Introduction In electron microscopic investigations of crystalline specimens the direct observation of the electron diffraction pattern gives additional information about the specimen. The quality of this information depends on the quality of the crystals or the crystal area contributing to the diffraction pattern. By selected area diffraction in a conventional electron microscope, specimen areas as small as 1 µ in diameter can be investigated. It is well known that crystal areas of that size which must be thin enough (in the order of 1000 Å) for electron microscopic investigations are normally somewhat distorted by bending, or they are not homogeneous. Furthermore, the crystal surface is not well defined over such a large area. These are facts which cause reduction of information in the diffraction pattern. The intensity of a diffraction spot, for example, depends on the crystal thickness. If the thickness is not uniform over the investigated area, one observes an averaged intensity, so that the intensity distribution in the diffraction pattern cannot be used for an analysis unless additional information is available.

Microtubule nucleation sequence studied by time-resolved x-ray scattering and electron microscopy

1983 ◽  
Vol 41 ◽  
pp. 766-767
Author(s):  
Eva-Maria Mandelkow ◽  
Eckhard Mandelkow ◽  
Joan Bordas
Keyword(s):  
Electron Microscopy ◽  
Dynamic Equilibrium ◽  
Time Resolved ◽  
X Ray ◽  
Additional Information ◽  
X Ray Scattering ◽  
Low Concentrations ◽  
Microtubule Growth ◽  
Ray Patterns ◽  
Ray Scattering

When a solution of microtubule protein is changed from non-polymerising to polymerising conditions (e.g. by temperature jump or mixing with GTP) there is a series of structural transitions preceding microtubule growth. These have been detected by time-resolved X-ray scattering using synchrotron radiation, and they may be classified into pre-nucleation and nucleation events. X-ray patterns are good indicators for the average behavior of the particles in solution, but they are difficult to interpret unless additional information on their structure is available. We therefore studied the assembly process by electron microscopy under conditions approaching those of the X-ray experiment. There are two difficulties in the EM approach: One is that the particles important for assembly are usually small and not very regular and therefore tend to be overlooked. Secondly EM specimens require low concentrations which favor disassembly of the particles one wants to observe since there is a dynamic equilibrium between polymers and subunits.

Sign in / Sign up

Export Citation Format

Share Document