Questions & Answers About Persons with Intellectual Disabilities in the Workplace and the Americans with Disabilities Act

The Americans with Disabilities Act (ADA) is a federal law that prohibits discrimination on the basis of disability. Title I of the ADA makes it unlawful for any employer to discriminate against a qualified applicant or employee because of a disability in any aspect of employment. The ADA covers employers with 15 or more employees, including state and local governments. Section 501 of the Rehabilitation Act provides the same protections for federal government employees and applicants. In addition, most states have their own laws prohibiting employment discrimination on the basis of disability. Some of these state laws may apply to smaller employers and provide protections in addition to those available under the ADA.

The Link Between Medicaid and the Individuals with Disabilities Education Act (IDEA): Recent History and Current Issues

[From Summary] As a condition of accepting funds under IDEA, public schools must provide special education and related services necessary for children with disabilities to benefit from a public education. Generally, states can finance only a portion of these costs with federal IDEA funds. Medicaid, the federal-state program that finances medical and health services for the poor, can cover IDEA required health-related services for enrolled children as well as related administrative activities (e.g., outreach for Medicaid enrollment purposes, medical care coordination/monitoring). However, the link between IDEA and Medicaid has not been seamless. Despite written federal guidance, schools have a difficult time meeting the myriad complex reimbursement rules applicable to all Medicaid participating providers. According to federal investigations and congressional hearings, Medicaid payments to schools have sometimes been improper. The President’s FY2007 budget proposal would prohibit federal Medicaid reimbursement for IDEA-related school-based administration and transportation costs. This report will be updated.

Porn, censorship, classification and free speech: Global paradoxes in the governance of media content

In this presentation, I reflect upon the global landscape surrounding the governance and classification of media content, at a time of rapid change in media platforms and services for content production and distribution, and contested cultural and social norms. I discuss the tensions and contradictions arising in the relationship between national, regional and global dimensions of media content distribution, as well as the changing relationships between state and non-state actors. These issues will be explored through consideration of issues such as: recent debates over film censorship; the review of the National Classification Scheme conducted by the Australian Law Reform Commission; online controversies such as the future of the Reddit social media site; and videos posted online by the militant group ISIS.

Defamation proceedings - Limitation of Actions Act 1974

In Noonan v MacLennan [2010] QCA 50 the Queensland Court of Appeal considered for the first time the provision permitting extension of the limitation period for a defamation action under s32A of the Limitation of Actions Act 1974.

Strategic banana tissue culture industry development and biosecurity act

Application and development of activities based on in vitro technologies delivering research, industry development and biosecurity activities to sustain and improve the Australian banana industry.

Audience members watching the opening ceremonies of the Heidelberg festival, with opening speech given by Thomas Mann.

Typed caption: Festakt in der Stadthalle zur Eroeffnung der Heidelberger Festpiele 1929. Thomas Mann hielt die Festrede. Unsere Aufnahme zeigt einen Ausschnitt aus der Festversammlung, an der die geistige Prominenz Heidelbergs und zahlreiche bedeutende Persoenlichkeiten des deutschen Kulturlebends teilnahmen. Von links nach rechts in der 1. Reihe: Rene Schickele, Rudolf Rittner, Gustav Hargung, Prof. Dr. Martin Dibelius, Gerhart Hauptmann, Dr. Rudolf H. Goldschmidt, Oberbuergermeister Dr. Neinhaus, Thomas Mann und Frau, Kultusminister Leers, Rudolf G. Binding; In der 3. Reihe: Oberbaurat L. Schmieder, Nobelpreistraeger Dr. F. Bergius, Bankdirektor Fremerey, Prof. Hellpach, Prof. Radbruch

Compressive Sensing For Sparsely Excited Speech Signals

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived from the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

Letter from Simon Nathan to Mr. Harris, asking him to act temporarily as shochet

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Letter of I. M. Gomez declining to act as arbitrator

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Letter from B. S. Judah, declining to act as hatan bereshit

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Rhode Island Act of Disability [copy]

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Robust and High-resolution Voiced/Unvoiced Classification in Noisy Speech Using A Signal Smoothness Criterion

We propose a novel technique for robust voiced/unvoiced segment detection in noisy speech, based on local polynomial regression. The local polynomial model is well-suited for voiced segments in speech. The unvoiced segments are noise-like and do not exhibit any smooth structure. This property of smoothness is used for devising a new metric called the variance ratio metric, which, after thresholding, indicates the voiced/unvoiced boundaries with 75% accuracy for 0dB global signal-to-noise ratio (SNR). A novelty of our algorithm is that it processes the signal continuously, sample-by-sample rather than frame-by-frame. Simulation results on TIMIT speech database (downsampled to 8kHz) for various SNRs are presented to illustrate the performance of the new algorithm. Results indicate that the algorithm is robust even in high noise levels.