Automatic detection of electric power troubles (AI application)

The design goals for the Automatic Detection of Electric Power Troubles (ADEPT) were to enhance Fault Diagnosis Techniques in a very efficient way. ADEPT system was designed in two modes of operation: (1) Real time fault isolation, and (2) a local simulator which simulates the models theoretically

Automatic Detection of Electric Power Troubles (ADEPT)

Automatic Detection of Electric Power Troubles (A DEPT) is an expert system that integrates knowledge from three different suppliers to offer an advanced fault-detection system. It is designed for two modes of operation: real time fault isolation and simulated modeling. Real time fault isolation of components is accomplished on a power system breadboard through the Fault Isolation Expert System (FIES II) interface with a rule system developed in-house. Faults are quickly detected and displayed and the rules and chain of reasoning optionally provided on a laser printer. This system consists of a simulated space station power module using direct-current power supplies for solar arrays on three power buses. For tests of the system's ablilty to locate faults inserted via switches, loads are configured by an INTEL microcomputer and the Symbolics artificial intelligence development system. As these loads are resistive in nature, Ohm's Law is used as the basis for rules by which faults are located. The three-bus system can correct faults automatically where there is a surplus of power available on any of the three buses. Techniques developed and used can be applied readily to other control systems requiring rapid intelligent decisions. Simulated modeling, used for theoretical studies, is implemented using a modified version of Kennedy Space Center's KATE (Knowledge-Based Automatic Test Equipment), FIES II windowing, and an ADEPT knowledge base

Automatic Detection of Electric Power Troubles (ADEPT)

ADEPT is an expert system that integrates knowledge from three different suppliers to offer an advanced fault-detection system, and is designed for two modes of operation: real-time fault isolation and simulated modeling. Real time fault isolation of components is accomplished on a power system breadboard through the Fault Isolation Expert System (FIES II) interface with a rule system developed in-house. Faults are quickly detected and displayed and the rules and chain of reasoning optionally provided on a Laser printer. This system consists of a simulated Space Station power module using direct-current power supplies for Solar arrays on three power busses. For tests of the system's ability to locate faults inserted via switches, loads are configured by an INTEL microcomputer and the Symbolics artificial intelligence development system. As these loads are resistive in nature, Ohm's Law is used as the basis for rules by which faults are located. The three-bus system can correct faults automatically where there is a surplus of power available on any of the three busses. Techniques developed and used can be applied readily to other control systems requiring rapid intelligent decisions. Simulated modelling, used for theoretical studies, is implemented using a modified version of Kennedy Space Center's KATE (Knowledge-Based Automatic Test Equipment), FIES II windowing, and an ADEPT knowledge base. A load scheduler and a fault recovery system are currently under development to support both modes of operation

Effects of Concurrent Selection for Residual Feed Intake and Average Daily Gain on Fertility and Longevity in Black Angus Beef Females

Data from this analysis suggest that concurrent selection for both average daily gain and residual feed intake (RFI) may identify beef heifers that have improved fertility and longevity without impacting growth and maternal EPDs. As the beef industry continues to focus on sustainability, and thus efficiency, identification of commercial breeding stock that fit this mold will be imperative

Boosting treatment outcomes via the patient-practitioner relationship, treatment-beliefs or therapeutic setting. A systematic review with meta-analysis of contextual effects in chronic musculoskeletal pain.

Objective: To ascertain whether manipulating contextual effects (e.g. interaction with patients, or beliefs about treatments) boosted the outcomes of non-pharmacological and non-surgicaltreatments for chronic primary musculoskeletal pain.Design: Systematic review of randomized controlled trialsData Sources: We searched for trials in six databases, citation tracking, and clinical trials registers. We included trials that compared treatments with enhanced contextual effects with the same treatments without enhancement in adults with chronic primary musculoskeletal pain.Data synthesis: The outcomes of interest were pain intensity, physical functioning, global ratings of improvement, quality of life, depression, anxiety, and sleep. We evaluated risk of bias and certainty of the evidence using Cochrane Risk of Bias tool 2.0 and the GRADE approach, respectively.Results: Of 17637 records, we included 10 trials with 990 participants and identified 5 ongoing trials. The treatments were acupuncture, education, exercise training, and physical therapy. The contextual effects that were improved in the enhanced treatments were patient-practitioner relationship, patient beliefs and characteristics, therapeutic setting/environment, and treatment characteristics. Our analysis showed that improving contextual effects in non-pharmacological and non-surgical treatments may not make much difference on pain intensity (mean difference [MD] : -1.77, 95%-CI: [-8.71; 5.16], k = 7 trials, N = 719 participants, Scale: 0-100, GRADE: Low)) or physical functioning (MD: -0.27, 95%-CI: [-1.02; 0.49], 95%-PI: [-2.04; 1.51], k = 6 , N = 567, Scale: 0-10, GRADE: Low) in the short-term and at later follow-ups. Sensitivity analyses revealed similar findings.Conclusion: Whilst evidence gaps exist, per current evidence it may not be possible to achieve meaningful benefit for patients with chronic musculoskeletal pain by manipulating the context of non-pharmacological and non-surgical treatments

Acquiring Articles through Unmediated, User-Initiated Pay-Per-View Transactions: An Assessment of Current Practices

Depressed economic times often lead libraries to consider new practices, including alternatives to the traditional subscription model. This column discusses a pay-per-view (PPV) model for acquiring journal articles whereby a library creates an account with a content provider through which authenticated users can purchase articles at the library’s expense. To gain insight into the current use of this model, the paper draws on both a literature review and the results of a survey assessing the practices of academic libraries with experience acquiring articles through unmediated, user-initiated pay-per-view transactions. The future of the PPV model as well as issues and challenges that it raises are also considered

Graph neural networks for materials science and chemistry

Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials. Graph neural networks (GNNs) are one of the fastest growing classes of machine learning models. They are of particular relevance for chemistry and materials science, as they directly work on a graph or structural representation of molecules and materials and therefore have full access to all relevant information required to characterize materials. In this Review, we provide an overview of the basic principles of GNNs, widely used datasets, and state-of-the-art architectures, followed by a discussion of a wide range of recent applications of GNNs in chemistry and materials science, and concluding with a road-map for the further development and application of GNNs

Adverse Health Outcomes among U.S. Testicular Cancer Survivors after Cisplatin-Based Chemotherapy vs. Surgical Management

We evaluated for the first time adverse health outcomes (AHOs) among U.S. testicular cancer survivors (TCS) given chemotherapy (n = 381) vs. surgery-only patients (n = 98) managed at a single institution, accounting for non-treatment-related risk factors to delineate chemotherapy’s impact. Chemotherapy consisted largely of bleomycin-etoposide-cisplatin (BEP) administered in 3 or 4 cycles (BEPX3, n = 235; BEPX4, n = 82). Incidence of ≥ 3 AHOs was lowest in surgery-only TCS and increased with BEPX3, BEPX4 and other cisplatin-based regimens (12.2%, 40.8%, 52.5%, 54.8%; P<0.0001). Multivariate modeling assessed associations of risk factors and treatment with hearing impairment, tinnitus, peripheral neuropathy, and Raynaud phenomenon. Risk for each AHO significantly increased with both increasing chemotherapy burden (P < 0.0001) and selected modifiable risk factors (P < 0.05): hypertension (OR = 2.40) and noise exposure (OR ≥ 2.3) for hearing impairment; noise exposure for tinnitus (OR ≥ 1.69); peripheral vascular disease for neuropathy (OR = 8.72), and current smoking for Raynaud phenomenon (OR = 2.41). Clinicians should manage modifiable risk factors for AHOs among TCS

The Vehicle, Fall 2010

Table of ContentsPoetryFill Your Mouth with BerriesAaron Whitepage 1 RelationsJamie Van Allenpage 2 ExodusMegan Marie Olsonpage 4 Single FileRashelle McNairpage 7 The Aesthetic Value of the Moon, by CandlelightKathy Deckerpage 15 FactalsGabrielle Keigherpage 16 Day 5David Jacksonpage 17 Esta LloviendoHeather Gerrishpage 19 FacebrokeDarrin Gordonpage 23 5:08 pmNikki Riechertpage 24 Train TunnelsAshton Tembypage 34 VariationsKathy Deckerpage 35 WantRashelle McNairpage 36 FriendshipScott Maypage 37 Golden LandJacob Swansonpage 38 Last Night I DreamtAshton Tembypage 39 Smallest GestureScott Maypage 44 Somebody\u27s Hut in MexicoGinamarie Lobiancopage 45 Some Things You Just Can\u27t Tap Dance AroundClint Walkerpage 53 Prose Lamparus de DiosAaron Whitepage 8 Learning CurveScott Maypage 18 RocktonKatelyn Pfaffpage 20 Fatal DistractionSolomohn Ennispage 25 Noodle NonsenseGabrielle Keigherpage 41 AntarcticaMichael Payeapage 46 Special Features James K Johnson Award Winners: God is GraciousJohn Klyczekpage 57 To My Ever Growing ChestJennifer Hindespage 74 God\u27s ScapegoatJennifer Hindespage 76 Rape (Verb, Noun)Jennifer Hindespage 78 Featured Artist: Ashton Tembypage 81 Editor\u27s Pick: The Shooter by Patrick Hallpage 87 Chapbook 2010 Author:Kim Hunter-Perkinspage 114 About the Contributorspage 118 About the Editorspage 122https://thekeep.eiu.edu/vehicle/1092/thumbnail.jp

The Vehicle, Fall 2010

Table of ContentsPoetryFill Your Mouth with BerriesAaron Whitepage 1 RelationsJamie Van Allenpage 2 ExodusMegan Marie Olsonpage 4 Single FileRashelle McNairpage 7 The Aesthetic Value of the Moon, by CandlelightKathy Deckerpage 15 FactalsGabrielle Keigherpage 16 Day 5David Jacksonpage 17 Esta LloviendoHeather Gerrishpage 19 FacebrokeDarrin Gordonpage 23 5:08 pmNikki Riechertpage 24 Train TunnelsAshton Tembypage 34 VariationsKathy Deckerpage 35 WantRashelle McNairpage 36 FriendshipScott Maypage 37 Golden LandJacob Swansonpage 38 Last Night I DreamtAshton Tembypage 39 Smallest GestureScott Maypage 44 Somebody\u27s Hut in MexicoGinamarie Lobiancopage 45 Some Things You Just Can\u27t Tap Dance AroundClint Walkerpage 53 Prose Lamparus de DiosAaron Whitepage 8 Learning CurveScott Maypage 18 RocktonKatelyn Pfaffpage 20 Fatal DistractionSolomohn Ennispage 25 Noodle NonsenseGabrielle Keigherpage 41 AntarcticaMichael Payeapage 46 Special Features James K Johnson Award Winners: God is GraciousJohn Klyczekpage 57 To My Ever Growing ChestJennifer Hindespage 74 God\u27s ScapegoatJennifer Hindespage 76 Rape (Verb, Noun)Jennifer Hindespage 78 Featured Artist: Ashton Tembypage 81 Editor\u27s Pick: The Shooter by Patrick Hallpage 87 Chapbook 2010 Author:Kim Hunter-Perkinspage 114 About the Contributorspage 118 About the Editorspage 122https://thekeep.eiu.edu/vehicle/1092/thumbnail.jp