Heitman v. State: The Question Left Unanswered.

In Heitman v. State, the Texas Court of Criminal Appeals appeared to break with the court’s prior holdings to announce it would no longer “automatically adopt and apply” to the search and seizure provisions of the Texas Constitution “the Supreme Court’s interpretations of the Fourth Amendment.” The reaction to Heitman was immediate and striking. Heitman is obviously a significant decision that could impact Texas criminal jurisprudence for decades. Yet, the decision left many questions unanswered, including whether the search and seizure provision should be construed as placing greater restrictions on law enforcement than the Fourth Amendment of the United States Constitution. The Heitman opinion reviews the established principle that “under our system of federalism … the state are free to reject federal holdings as long as state action does not fall below the minimum standards provided by federal constitutional protections.” The opinion then recognized the court had not chosen to interpret article I, section 9 of the Texas constitution in a manner, which accords the citizens of Texas greater protections than those in the Fourth Amendment. Historical evidence does not support the proposition that the Texas constitutional framers intended the search and seizure provision of its constitution to place more restrictions on law enforcement than does the Fourth Amendment. Even so, proponents of severing Texas’ jurisprudence from settled federal precedent assert they have found such evidence in the historical record. When one carefully scrutinizes the proposed resolution adopted by the court in Heitman, they receive a lesson in the art of biased advocacy aimed as justifying a preconceived view. Neither the proponents of such a view nor the Heitman opinion itself have considered some of the potentially dramatic consequences of overturning decades of settled precedent absent clear guidance from the text or history of the document itself

Immunocytochemical localization of glutamate immunoreactivity in the guinea pig cochlea

The localization of glutamate immunoreactivity was examined in the guinea pig cochlea using affinity purified polyclonal antibodies to glutamate and immunoperoxidase post-embedding staining techniques on one micron plastic sections. Glutamate immunoreactive staining was seen in both inner and outer hair cells and in spiral ganglion cells and auditory nerve fibers. These results support the hypothesis that glutamate may function as the hair cell transmitter or as a precursor to the transmitter and add further support for an excitatory amino acid as the transmitter of the auditory nerve.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/27697/1/0000083.pd

Agribusiness management series: Effect of grazing past first hollow stem on wheat and stocker profits

The Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311

The effect of extended stocker grazing on wheat and stocker profits

The Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311

26th Annual Midwest/Midsouth Estate Planning Institute

Materials from the 26th Annual Midwest/Midsouth Estate Planning Institute held by UK/CLE in July 1999

Planetary population synthesis

In stellar astrophysics, the technique of population synthesis has been successfully used for several decades. For planets, it is in contrast still a young method which only became important in recent years because of the rapid increase of the number of known extrasolar planets, and the associated growth of statistical observational constraints. With planetary population synthesis, the theory of planet formation and evolution can be put to the test against these constraints. In this review of planetary population synthesis, we first briefly list key observational constraints. Then, the work flow in the method and its two main components are presented, namely global end-to-end models that predict planetary system properties directly from protoplanetary disk properties and probability distributions for these initial conditions. An overview of various population synthesis models in the literature is given. The sub-models for the physical processes considered in global models are described: the evolution of the protoplanetary disk, the planets' accretion of solids and gas, orbital migration, and N-body interactions among concurrently growing protoplanets. Next, typical population synthesis results are illustrated in the form of new syntheses obtained with the latest generation of the Bern model. Planetary formation tracks, the distribution of planets in the mass-distance and radius-distance plane, the planetary mass function, and the distributions of planetary radii, semimajor axes, and luminosities are shown, linked to underlying physical processes, and compared with their observational counterparts. We finish by highlighting the most important predictions made by population synthesis models and discuss the lessons learned from these predictions - both those later observationally confirmed and those rejected.Comment: 47 pages, 12 figures. Invited review accepted for publication in the 'Handbook of Exoplanets', planet formation section, section editor: Ralph Pudritz, Springer reference works, Juan Antonio Belmonte and Hans Deeg, Ed

Linguistics and natural logic

Evidence is presented to show that the role of a generative grammar of a natural language is not merely to generate the grammatical sentences of that language, but also to relate them to their logical forms. The notion of logical form is to be made sense of in terms a ‘natural logic’, a logical for natural language, whose goals are to express all concepts capable of being expressed in natural language, to characterize all the valid inferences that can be made in natural language, and to mesh with adequate linguistic descriptions of all natural languages. The latter requirement imposes empirical linguistic constraints on natural logic. A number of examples are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43819/1/11229_2004_Article_BF00413602.pd

Custom Integrated Circuits

Contains table of contents for Part III, table of contents for Section 1 and reports on eleven research projects.IBM CorporationMIT School of EngineeringNational Science Foundation Grant MIP 94-23221Defense Advanced Research Projects Agency/U.S. Army Intelligence Center Contract DABT63-94-C-0053Mitsubishi CorporationNational Science Foundation Young Investigator Award Fellowship MIP 92-58376Joint Industry Program on Offshore Structure AnalysisAnalog DevicesDefense Advanced Research Projects AgencyCadence Design SystemsMAFET ConsortiumConsortium for Superconducting ElectronicsNational Defense Science and Engineering Graduate FellowshipDigital Equipment CorporationMIT Lincoln LaboratorySemiconductor Research CorporationMultiuniversity Research IntiativeNational Science Foundatio

Linking Symptom Inventories using Semantic Textual Similarity

An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which limits reproducibility. Here, we present an artificial intelligence (AI) approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories. We tested the ability of four pre-trained STS models to screen thousands of symptom description pairs for related content - a challenging task typically requiring expert panels. Models were tasked to predict symptom severity across four different inventories for 6,607 participants drawn from 16 international data sources. The STS approach achieved 74.8% accuracy across five tasks, outperforming other models tested. This work suggests that incorporating contextual, semantic information can assist expert decision-making processes, yielding gains for both general and disease-specific clinical assessment

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships