Electromagnetic Field Plot of an Inductive Window by the Moment Method

A moment method is used to plot the electromagnetic field of an inductive window in a TE10 -mode rectangular waveguide. Green\u27s dyadic functions are derived based on Tai\u27s approach, which is a modified form of Hansen\u27s vector wave functions. Based on the computed electric fields, the S matrix and the equivalent aperture reactance of the waveguide window are calculated. This calculation agrees with the previously published closed-form results of Marcuvitz

Glottal-synchronous speech processing

Glottal-synchronous speech processing is a field of speech science where the pseudoperiodicity of voiced speech is exploited. Traditionally, speech processing involves segmenting and processing short speech frames of predefined length; this may fail to exploit the inherent periodic structure of voiced speech which glottal-synchronous speech frames have the potential to harness. Glottal-synchronous frames are often derived from the glottal closure instants (GCIs) and glottal opening instants (GOIs). The SIGMA algorithm was developed for the detection of GCIs and GOIs from the Electroglottograph signal with a measured accuracy of up to 99.59%. For GCI and GOI detection from speech signals, the YAGA algorithm provides a measured accuracy of up to 99.84%. Multichannel speech-based approaches are shown to be more robust to reverberation than single-channel algorithms. The GCIs are applied to real-world applications including speech dereverberation, where SNR is improved by up to 5 dB, and to prosodic manipulation where the importance of voicing detection in glottal-synchronous algorithms is demonstrated by subjective testing. The GCIs are further exploited in a new area of data-driven speech modelling, providing new insights into speech production and a set of tools to aid deployment into real-world applications. The technique is shown to be applicable in areas of speech coding, identification and artificial bandwidth extension of telephone speec

The Early Promise of TBRI Implementation in Schools

The program known as Trust Based Relational Intervention® (TBRI®) began as an exploration into the detrimental behaviors of foster and adopted children placed in homes with unsuspecting caregivers who assumed their living environment would result in positive results rather than fear based emotions and behaviors. The researchers at the Karyn Purvis Institute of Child Development (KPICD) at Texas Christian University held summer camps for adopted children and through that work developed an intervention to meet the needs of children who had experienced trauma. KPICD identifies these young people as “children from hard places” (Purvis & Cross, 2005). Copeland et al (2007) reported that an estimated 68% of children in the United States have experienced some sort of trauma. This astounding statistic holds great meaning for teachers and administrators, because these children from hard places routinely manifest aggressive and undesired behaviors due to an altering of their physiology. The literature on TBRI® at this point mostly has chronicled success with families, group homes and summer camps (McKenzie, Purvis, & Cross, 2014; Howard, Parris, Neilson, Lusk, Bush, Purvis & Cross, 2014; Purvis & Cross, 2006). TBRI® has only recently been implemented in school settings. This report provides an overview of the impacts of trauma, trauma related work in schools, and the four articles published to this point related to the use of TBRI® in schools

Tributes to Professor Cyril A. Fox, Jr.

Cy Fox often forgets that he was supposed to be “only” an academic. For three decades, as he helped thousands of law students through the intricacies of the Rule in Shelley’s Case, or watched them calculate a “life in being plus twenty one years” for the Rule Against Perpetuities, he failed to appreciate that law school was supposed to be an amalgam of theory and confusion, not the place for his teaching law students about helping real people solve real life problems

Partial tests, universal tests and decomposability

For a property P and a sub-property P', we say that P is P'-partially testable with q queries} if there exists an algorithm that distinguishes, with high probability, inputs in P' from inputs ε-far from P, using q queries. Some natural properties require many queries to test, but can be partitioned into a small number of subsets for which they are partially testable with very few queries, sometimes even a number independent of the input size. For properties over {0,1}, the notion of being thus partitionable ties in closely with Merlin-Arthur proofs of Proximity (MAPs) as defined independently in [14] a partition into r partially-testable properties is the same as a Merlin-Arthur system where the proof consists of the identity of one of the r partially-testable properties, giving a 2-way translation to an O(log r) size proof. Our main result is that for some low complexity properties a partition as above cannot exist, and moreover that for each of our properties there does not exist even a single sub-property featuring both a large size and a query-efficient partial test, in particular improving the lower bound set in [14]. For this we use neither the traditional Yao-type arguments nor the more recent communication complexity method, but open up a new approach for proving lower bounds. First, we use entropy analysis, which allows us to apply our arguments directly to 2-sided tests, thus avoiding the cost of the conversion in [14] from 2-sided to 1-sided tests. Broadly speaking we use "distinguishing instances" of a supposed test to show that a uniformly random choice of a member of the sub-property has "low entropy areas", ultimately leading to it having a low total entropy and hence having a small base set. Additionally, to have our arguments apply to adaptive tests, we use a mechanism of "rearranging" the input bits (through a decision tree that adaptively reads the entire input) to expose the low entropy that would otherwise not be apparent. We also explore the possibility of a connection in the other direction, namely whether the existence of a good partition (or MAP) can lead to a relatively query-efficient standard property test. We provide some preliminary results concerning this question, including a simple lower bound on the possible trade-off. Our second major result is a positive trade-off result for the restricted framework of 1-sided proximity oblivious tests. This is achieved through the construction of a "universal tester" that works the same for all properties admitting the restricted test. Our tester is very related to the notion of sample-based testing (for a non-constant number of queries) as defined by Goldreich and Ron in [13]. In particular it partially resolves an open problem raised by [13]

Economics of managing acid soils in dryland mixed cropping systems: comparing gross margins with whole-farm analysis derived using a business process model

A 12-year experiment designed to show the benefits of applying lime to acid soils when growing annual pasture, perennial pasture, and annual crops in rotations with annual or perennial pastures, provides the context for comparing methods of economic analysis. In this study enterprise gross margins are compared with whole-farm cumulative monthly cash flows derived using a business process model. The current study gave gross margins comparable with those of a recently published study based on the first 12 years of the same field experiment at Book Book near Wagga Wagga in southern NSW (Li et al., 2010). Both gross margin analyses indicated positive results for all treatments. However, because key fixed and capital cost items were not taken into account in the gross margin analysis the financial benefits of the treatments were overstated. In the whole-farm analysis, a full set of accounts (including fixed and capital costs) was developed for the experimental combinations of prime lamb and dryland cropping enterprises and used to generate a monthly cash flow sequence for each treatment over the 12-year term of the experiment. This full financial analysis, where all costs are included, showed all mixed treatments (cropping and grazing) accumulated unsustainable losses over the period of the trial. The grazing-only treatments generated positive cash lows over the 12 year period, but 2 accumulated high levels of debt in the initial years. None of these outcomes were predicted by gross margins, which were consistently positive for all treatments. This paper concludes that the analysis of trial results benefits from interpretation in the context of whole-farm analysis, verified by district experience. Relying on gross margin analysis alone would have supported loss-making outcomes in this trial. This conclusion has important ramifications for analysis of all systems trials.Agribusiness,

Consonance Network Simulations of Arousal Phenomena in Cognitive Dissonance

The consonance constraint satisfaction model, recently used to simulate the major paradigms of cognitive dissonance theory, is extended to deal with emotional arousal phenomena in dissonance. The impact of arousing drugs is implemented in the simulations by a scalar that modulates the intensity of unit activations representing the relevant cognitions and the connection weights representing their implications. The simulations show that even exotic dissonance phenomena can be explained in terms of the relatively commn process of constraint satisfaction

Shale Investment Dashboard in Ohio Q3 and Q4 2018

This report presents findings from an investigation into shale-related investment in Ohio. The investment estimates are cumulative from July through December of 2018. Prior investments have previously been reported and are available from Cleveland State University. Subsequent reports will estimate additional investment since the date of this report