PROBABILISTIC COST EFFECTIVENESS IN AGRICULTURAL NONPOINT POLLUTION CONTROL

Conceptual weaknesses in the use of costs of average abatement as a measure of the cost effectiveness of agricultural nonpoint pollution control are examined. A probabilistic alternative is developed. The focus is on methods for evaluating whole-farm pollution control plans rather than individual practices. As a consequence, the analysis is presented in a chance-constrained activity analysis framework because activity procedures are a practical and well developed device for screening farm planes. Reliability of control is shown to be as important as reduction targets in designing farm plans for pollution control. Furthermore, broad-axe prescriptions of technology in the form of Best Management Practices may perform poorly with respect to cost effectiveness.Environmental Economics and Policy,

COST COMPARISONS OF ALTERNATIVE METHODS FOR PROCESSING RECYCLED WASTE NEWSPAPERS INTO FARM-ANIMAL BEDDING

The United States is facing a seemingly overwhelming problem of how to dispose of its solid waste. For disposal solutions to be viable, they must be environmentally sound and economically viable. Processing waste newspapers for farm-animal bedding offers a successful partial solution that meets both criteria. Centralized newspaper chopping is found to cost less than on-farm chopping. Both chopped and unchopped waste newspapers can be economically transported considerable distances. The use of waste newspapers for animal bedding is economically attractive at the farm level and can provide a partial solution to the solid-waste disposal problem.Environmental Economics and Policy, Livestock Production/Industries,

High Elevation Grasslands as a Crucial Resource to Ranchers of Northern New Mexico

High-elevation grasslands of northern New Mexico (NM), located at the southern tip of the Rocky Mountains in the western United States, are a crucial resource for small-scale, family-owned ranches. Due to evolution of land acquisition in northern New Mexico, many of these lands are in public ownership, and ranchers must now rely upon government-managed grazing allotments for pasturing their livestock. Regulations and management decisions governing these lands, along with competition for use (e.g. recreation), can significantly affect the viability and survival of ranching throughout the area (Raish & McSweeney, 2003)

Critical association of ncRNA with introns

It has been widely acknowledged that non-coding RNAs are master-regulators of genomic functions. However, the significance of the presence of ncRNA within introns has not received proper attention. ncRNA within introns are commonly produced through the post-splicing process and are specific signals of gene transcription events, impacting many other genes and modulating their expression. This study, along with the following discussion, details the association of thousands of ncRNAs—snoRNA, miRNA, siRNA, piRNA and long ncRNA—within human introns. We propose that such an association between human introns and ncRNAs has a pronounced synergistic effect with important implications for fine-tuning gene expression patterns across the entire genome

Speech and Prosody Characteristics of Adolescents and Adults With High-Functioning Autism and Asperger Syndrome

Speech and prosody-voice profiles for 15 male speakers with High-Functioning Autism (HFA) and 15 male speakers with Asperger syndrome (AS) were compared to one another and to profiles for 53 typically developing male speakers in the same 10- to 50-years age range. Compared to the typically developing speakers, significantly more participants in both the HFA and AS groups had residual articulation distortion errors, uncodable utterances due to discourse constraints, and utterances coded as inappropriate in the domains of phrasing, stress, and resonance. Speakers with AS were significantly more voluble than speakers with HFA, but otherwise there were few statistically significant differences between the two groups of speakers with pervasive developmental disorders. Discussion focuses on perceptual-motor and social sources of differences in the prosody-voice findings for individuals with Pervasive Developmental Disorders as compared with findings for typical speakers, including comment on the grammatical, pragmatic, and affective aspects of prosody

The Role and Outcomes of Thoracodistal Bypass

Objectives Endovascular procedures for lower extremity revascularization are becoming more commonplace due to low morbidity, mortality, and shorter length of stay. The role of open bypass must be reconsidered. Aortobifemoral bypass is the gold standard for extensive aortoiliac occlusive disease (AIOD); however, thoracodistal bypass holds a niche position. We investigate indications and outcomes of thoracodistal bypass. Methods Medical records of five patients who underwent thoracodistal bypass at Thomas Jefferson University Hospital (TJUH) between 2012 and 2019 were reviewed. Contemporary and historical literature was reviewed. Results Indications included calcified paravisceral pathology, previous failed or infected bypass grafts, and prior abdominal operations. Thirty-day mortality at our institution was 0%. Four out of five patients had patent grafts at one year. Complications included pulmonary, renal, bleeding, and wound complications in addition to need for reintervention. Conclusions Despite high complication rates associated with thoracodistal bypass, longterm patency and longterm survival rates are also high. Thoracodistal bypass continues to be a useful tool in select patients

Exploiting mid-range DNA patterns for sequence classification: binary abstraction Markov models

Messenger RNA sequences possess specific nucleotide patterns distinguishing them from non-coding genomic sequences. In this study, we explore the utilization of modified Markov models to analyze sequences up to 44 bp, far beyond the 8-bp limit of conventional Markov models, for exon/intron discrimination. In order to analyze nucleotide sequences of this length, their information content is first reduced by conversion into shorter binary patterns via the application of numerous abstraction schemes. After the conversion of genomic sequences to binary strings, homogenous Markov models trained on the binary sequences are used to discriminate between exons and introns. We term this approach the Binary Abstraction Markov Model (BAMM). High-quality abstraction schemes for exon/intron discrimination are selected using optimization algorithms on supercomputers. The best MM classifiers are then combined using support vector machines into a single classifier. With this approach, over 95% classification accuracy is achieved without taking reading frame into account. With further development, the BAMM approach can be applied to sequences lacking the genetic code such as ncRNAs and 5′-untranslated regions