Steel rope with longer service life and improved quality

This article discusses the methodology for, and results of, comparative fatigue strength tests using repeated flexure of two Warrington Seale 6×36 steel wire ropes 16.0 mm in diameter. The wire ropes differed with respect to the design of the organic core, fiber composition (hemp and jute), and the composition of the preservative compound used to impregnate the core (E-1 oil and ASKM compound). The test results indicated that rope with an ASKM-impregnated jute core has longer service life and higher quality than rope with n E-1 oil-impregnated hemp core. __________ Translated from Metallurg, No. 5, pp. 63–65, May, 2007.     

Low-Power Scan Testing: A Scan Chain Partitioning and Scan Hold Based Technique

Power consumption during scan testing operations can be significantly higher than that expected in the normal functional mode of operation in the field. This may affect the reliability of the circuit under test (CUT) and/or invalidate the testing process increasing yield loss. In this paper, a scan chain partitioning technique and a scan hold mechanism are combined for low power scan operation. Substantial power reductions can be achieved, without any impact on the test application time or the fault coverage and without the need to use scan cell reordering or clock and data gating techniques. Furthermore, the proposed design solution for scan power alleviation, permits the efficient exploitation of X-filling techniques for capture power reduction or the use of extreme (power independent) compression techniques for test data volume reduction.     

Machine intelligence

As computers continue to increase in speed, the advantages that machine learning can offer will likewise increase. Computational intelligence methods, such as neural, evolutionary, and fuzzy computing, will continue to be applied to diverse problems in instrumentation and measurement as well as other fields. As with all machine learning methods, these approaches require a data structure to represent solutions, a performance index to evaluate solutions, and some method to generate new solutions from old solutions, and select which solutions to favor.     

Serum neuron-specific enolase as early predictor of outcome after cardiac arrest

OBJECTIVE: To examine the prognostic value of serum neuron-specific enolase for early prediction of outcome in patients at risk for anoxic encephalopathy after cardiac arrest. DESIGN: Prospective study. SETTING: Coronary intensive care unit of the University of Heidelberg. PATIENTS: Forty-three patients (66.8 +/- 12.7 [SD] yrs, range 33 to 85) who had had either primary or secondary cardiac arrest, followed by cardiopulmonary resuscitation (CPR). INTERVENTIONS: Serial blood samples and clinical examinations. MEASUREMENTS AND MAIN RESULTS: Serum neuron-specific enolase concentrations were determined after CPR on 7 consecutive days. Twenty-five patients remained comatose and subsequently died; 18 patients survived the first 3 months and had no relevant functional deficit at 3-month follow-up. Neuron-specific enolase concentrations were correlated with neurologic outcome. Concentrations of >33 ng/mL predicted persistent coma with a high specificity (100%) and a positive predictive value of 100%. Overall sensitivity was 80%, with a negative predictive value of 78%. Serum concentrations of neuron-specific enolase exceeded this cutoff value no more than 3 days after cardiac arrest in 95% of patients in whom these concentrations had exceeded 33 ng/mL. CONCLUSIONS: In patients who have been resuscitated after cardiac arrest, serum neuron-specific enolase concentrations of >33 ng/mL predict persistent coma with a high specificity. Values below this cutoff level do not necessarily indicate complete recovery, because this method has a sensitivity of 80%.     

Mensa Society.

This column discusses Mensa. The author would like qualified research workers, such as psychologists or graduate students working on theses or dissertations, who are in need of a high-IQ group to consider studying Mensa. Mensa is a ready-made population of high-intelligence subjects, representing all levels and fields of endeavor, who would be willing to participate in psychological studies and opinion surveys. The only qualification for membership in Mensa is a score on an acceptable intelligence test higher than that of 98% of the general population. At present there are 17,000 active members, of whom 12,000 are American. Contact information is provided. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evolution, neural networks, games, and intelligence

Mathematical games provide a framework for studying intelligent behavior in models of real-world settings or restricted domains. The obstacle comes in choosing the appropriate representation and learning algorithm. Neural networks and evolutionary algorithms provide useful means for addressing these issues. This paper describes efforts to hybridize neural and evolutionary computation to learn appropriate strategies in zero- and nonzero-sum games, including the iterated prisoner's dilemma, tic-tac-toe, and checkers. With respect to checkers, the evolutionary algorithm was able to discover a neural network that can be used to play at a near-expert level without injecting expert knowledge about how to play the game. The implications of evolutionary learning with respect to machine intelligence are also discussed. It is argued that evolution provides the framework for explaining naturally occurring intelligent entities and can be used to design machines that are also capable of intelligent behavior     

Vapor Sorption and Electrical Response of Au‐Nanoparticle– Dendrimer Composites

Films comprising Au nanoparticles and polyphenylene dendrimers (first and second generation) are deposited onto transducer substrates via layer‐by‐layer self‐assembly and characterized by atomic force microscopy and X‐ray photoelectron spectroscopy. Their sorption behavior is studied by measuring the uptake of solvents from the vapor phase with quartz crystal microbalances (QCMs). The resistance of the films is simultaneously monitored. Both sensor types, QCMs and chemiresistors, give qualitatively very similar response isotherms that are consistent with a combination of Henry‐ and Langmuir‐type sorption processes. The sorption‐induced increase in relative differential resistance scales linearly with the amount of analyte accumulated in the films. This result is in general agreement with an activated tunneling process for charge transport, if little swelling and only small changes in the permittivity of the film occur during analyte sorption (a first‐order approximation). The relative sensitivity of the films to different solvents decreases in the order toluene ≈ tetrachloroethylene > 1‐propanol ? water. Films containing the larger second‐generation dendrimers show higher sensitivity than films containing first‐generation dendrimers.