The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform

Ren Yue-ping - One of the best experts on this subject based on the ideXlab platform.

  • Spatial distribution pattern and sampling technique of spring wheat aphid.
    Plant diseases and pests, 2010
    Co-Authors: Ren Yue-ping, He Dahan
    Abstract:

    [Objective] The aim was to study the spatial distribution pattern and field sampling method of aphid population in spring wheat. [Method] The aphid quantity in tested wheat field was calculated, the field distribution pattern of wheat aphid was calculated by using aggregated index method, the aggregated reason was analyzed and the field theoretical sampling number was ascertained. [Result] The wheat aphid population showed aggregation distribution and negative binomial distribution, and such aggregation distribution was induced by interaction of its behavior and environmental factors. The field theoretical sampling number of wheat aphid was related to sample variance and Permissible Error; the less the sample variance (S2) was, the less the Permissible Error (d′) was, the bigger the theoretical sampling number without replacement was; when the initial population numbers were different, the theoretical sampling numbers were also different; after the Permissible Error being set, the bigger the sample variance (S2) was, the bigger the theoretical sampling number was. [Conclusion] This study supplied scientific basis for prediction and field control of wheat aphid.

  • Study on the Spatial Distribution Pattern and Sampling Technique of Spring Wheat Aphid
    Journal of Anhui Agricultural Sciences, 2010
    Co-Authors: Ren Yue-ping
    Abstract:

    [Objective] The aim was to study the spatial distribution pattern and field sampling method of aphid population on spring wheat. [Method]The aphid quantity on wheat in tested field was calculated,the field distribution pattern of wheat aphid was calculated by using aggregation index method,the aggregation reason was analyzed and the field theoretical sampling number was ascertained. [Result]The wheat aphid population showed aggregation distribution and negative binomial distribution and such aggregation distribution was induced by interaction of its habit and environmental factors. The field theoretical sampling number of wheat aphid was related to sample variance and Permissible Error; the less the sample variance (S2) was,the less the Permissible Error (d') was,the bigger the non-return theoretical sampling number was; when the initial population numbers were different,the theoretical sampling numbers were different; after the Permissible Error was set,the bigger the sample variance (S2) was,the bigger the theoretical sampling number was. [Conclusion]This study supplied scientific basis for prediction and field control of wheat aphid.

He Dahan - One of the best experts on this subject based on the ideXlab platform.

  • Spatial distribution pattern and sampling technique of spring wheat aphid.
    Plant diseases and pests, 2010
    Co-Authors: Ren Yue-ping, He Dahan
    Abstract:

    [Objective] The aim was to study the spatial distribution pattern and field sampling method of aphid population in spring wheat. [Method] The aphid quantity in tested wheat field was calculated, the field distribution pattern of wheat aphid was calculated by using aggregated index method, the aggregated reason was analyzed and the field theoretical sampling number was ascertained. [Result] The wheat aphid population showed aggregation distribution and negative binomial distribution, and such aggregation distribution was induced by interaction of its behavior and environmental factors. The field theoretical sampling number of wheat aphid was related to sample variance and Permissible Error; the less the sample variance (S2) was, the less the Permissible Error (d′) was, the bigger the theoretical sampling number without replacement was; when the initial population numbers were different, the theoretical sampling numbers were also different; after the Permissible Error being set, the bigger the sample variance (S2) was, the bigger the theoretical sampling number was. [Conclusion] This study supplied scientific basis for prediction and field control of wheat aphid.

M A Gumpo - One of the best experts on this subject based on the ideXlab platform.

  • common tError Permissible Error in financial statements teradyne case study why a 24 million accounting Error need not be corrected
    2009
    Co-Authors: M A Gumpo
    Abstract:

    In 2002, the SEC, citing a need for transparency, promulgated new disclosure rules pertaining to corporate stock repurchase programs. As a result, companies since 2004 have been required to provide monthly reports on the volume and pricing of their stock buybacks. Under the new reporting protocol, Teradyne's monthly report for October 2007 erroneously excluded 1.738 million shares reacquired for $24.151 million at $13.90 apiece. The company decided no correction to the misstatement was necessary. The apparent lesson from the Teradyne case is: 1) Either a $24 million Error is insignificant 2) Or the mandated 10Q/10K tables showing monthly corporate stock repurchases need not be accurate. In a world in which equity transactions such as stock repurchases, in conformance to 15th century tradition, are deemed never to cause a profit or loss, it makes sense both that $24 million be disregarded as insignificant and that corporate stock repurchase reports tolerate inaccuracy. But, if such reasoning seems out of joint, perhaps Teradyne should correct its Error? More appropriately, accounting for equity transactions should be broadly revisited. In the market for corporate stock repurchases which, at its peak in 2007, exceeded a $700 billion annual rate, insult to common shareholders may be done a penny at a time (excessive fees, benefits to option holders, disregard of pricing, risk of insider trading) but, in the end, is tantamount to death by a thousand pinpricks and burial unnoticed in a pauper's grave. For instance, a recent study suggests losses to investors from U.S. corporate buybacks are now approaching $2 trillion (a benefit sellers reap at the expense of faithful investors). In the mayhem of financial ruin, the equanimity of accounting statements, in their total disregard of equity transaction losses, is a final indignity borne by shareholders. Common TError, a commentary on Teradyne's ethereal view on Permissible Error in financial statements, highlights that rules of equity accounting are overdue for overhaul. The solution is simple: Treat equity transactions the same as any other asset or liability with gains/losses included in the income statement. Tolerance for misstatement will vanish.

M. A. Gumport - One of the best experts on this subject based on the ideXlab platform.

  • Common TError: Permissible Error in Financial Statements - Teradyne Case Study - Why a $24 Million Accounting Error Need not be Corrected
    SSRN Electronic Journal, 2009
    Co-Authors: M. A. Gumport
    Abstract:

    In 2002, the SEC, citing a need for transparency, promulgated new disclosure rules pertaining to corporate stock repurchase programs. As a result, companies since 2004 have been required to provide monthly reports on the volume and pricing of their stock buybacks. Under the new reporting protocol, Teradyne's monthly report for October 2007 erroneously excluded 1.738 million shares reacquired for $24.151 million at $13.90 apiece. The company decided no correction to the misstatement was necessary. The apparent lesson from the Teradyne case is: 1) Either a $24 million Error is insignificant 2) Or the mandated 10Q/10K tables showing monthly corporate stock repurchases need not be accurate. In a world in which equity transactions such as stock repurchases, in conformance to 15th century tradition, are deemed never to cause a profit or loss, it makes sense both that $24 million be disregarded as insignificant and that corporate stock repurchase reports tolerate inaccuracy. But, if such reasoning seems out of joint, perhaps Teradyne should correct its Error? More appropriately, accounting for equity transactions should be broadly revisited. In the market for corporate stock repurchases which, at its peak in 2007, exceeded a $700 billion annual rate, insult to common shareholders may be done a penny at a time (excessive fees, benefits to option holders, disregard of pricing, risk of insider trading) but, in the end, is tantamount to death by a thousand pinpricks and burial unnoticed in a pauper's grave. For instance, a recent study suggests losses to investors from U.S. corporate buybacks are now approaching $2 trillion (a benefit sellers reap at the expense of faithful investors). In the mayhem of financial ruin, the equanimity of accounting statements, in their total disregard of equity transaction losses, is a final indignity borne by shareholders. Common TError, a commentary on Teradyne's ethereal view on Permissible Error in financial statements, highlights that rules of equity accounting are overdue for overhaul. The solution is simple: Treat equity transactions the same as any other asset or liability with gains/losses included in the income statement. Tolerance for misstatement will vanish.

Tim J. Bartley - One of the best experts on this subject based on the ideXlab platform.

  • Single-channel electronic readout of a multipixel superconducting nanowire single photon detector
    Optics express, 2020
    Co-Authors: Johannes Tiedau, Timon Schapeler, Vikas Anant, Helmut Fedder, Christine Silberhorn, Tim J. Bartley
    Abstract:

    We present a time-over-threshold readout technique to count the number of activated pixels from an array of superconducting nanowire single photon detectors (SNSPDs). This technique maintains the intrinsic timing jitter of the individual pixels, places no additional heatload on the cryostat, and retains the intrinsic count rate of the time-tagger. We demonstrate proof-of-principle operation with respect to a four-pixel device. Furthermore, we show that, given some Permissible Error threshold, the number of pixels that can be reliably read out scales linearly with the intrinsic signal-to-noise ratio of the individual pixel response.