Comparison of volitional opposing and following responses across speakers with different vocal histories.

Research has shown that people who are instructed to volitionally respond to pitch-shifted feedback either produce responses that follow the shift direction with a short latency of 100-200 ms or oppose the shift direction with longer latencies of 300-400 ms. This difference in response latencies prompted a comparison of three groups of vocalists with differing abilities, non-trained English-speaking subjects, non-trained Mandarin-speaking subjects, and trained English-speaking singers. All subjects produced short latency following responses and long latency opposing responses, and in most cases the opposing responses were preceded by a shorter latency following response. Across groups, the magnitudes of the opposing and following responses were largest for the Mandarin speakers. Singers produced the smallest opposing response magnitudes, suggesting differences in the pitch goals of the two groups. Opposing response latencies were longest for the English and Mandarin speaking subjects and shortest for the trained singers, demonstrating that musical training increases the speed of producing the opposing responses. The presence of similar latencies of small following responses preceding larger opposing responses in all groups suggests that the tendency to mimic changes in sounds to which a person is attending are not influenced by vocal training or experience.

The carbon footprint of epidural steroid injections: A pilot study.

BACKGROUND: Epidural steroid injections are common procedures in physical medicine and rehabilitation practice. However, their environmental impact has not been characterized. OBJECTIVE: The primary aim is to estimate and compare the carbon footprint of two standard injection kits used to perform epidural steroid injections at a single academic institution. Secondary objectives were (1) to create a step-by-step guide for estimating the carbon footprint of materials and (2) to survey physicians on practice patterns and identify areas for improvement. DESIGN: Pilot study. SETTING: Academic medical center. PARTICIPANTS: N/A. INTERVENTIONS: N/A. OUTCOME MEASURES: Carbon emissions measured in CO2 equivalents (CO2 eq). METHODS: Using guidance from the Greenhouse Gas Protocol, the carbon footprint of the two kits was estimated by taking the sum of carbon emissions resulting from the production of the kit materials and the carbon emissions resulting from the waste disposal of the kit materials. RESULTS: The carbon footprint of the transforaminal epidural steroid injection (TFESI) kit was estimated at 1.328 kg CO2 eq. The carbon footprint of the interlaminar epidural steroid injection (ILESI) kit was estimated at 2.534 kg CO2 eq. For both kits, the carbon emissions resulting from the production of the kits were greater than the emissions resulting from disposal. The survey of interventionalists performing TFESI revealed all respondents required materials in addition to those provided in the standard epidural kit. Despite this, kit materials were typically wasted in 62% of respondents. CONCLUSION: Creating a methodology for quantifying carbon emissions is the first step to reducing carbon emissions. Once emissions are measured, the health care industry can determine the most effective strategies for reducing its impact. Our analysis has shown that it is feasible to perform emissions calculations and delineates a clear method with publicly available resources. Solutions to reduce epidural injection carbon footprint waste may include improved kit customization.

A direct real-time polymerase chain reaction assay for rapid high-throughput detection of highly pathogenic North American porcine reproductive and respiratory syndrome virus in China without RNA purification.

BACKGROUND: Porcine reproductive and respiratory syndrome virus (PRRSV), and particularly its highly pathogenic genotype (HP-PRRSV), have caused massive economic losses to the global swine industry. RESULTS: To rapidly identify HP-PRRSV, we developed a direct real-time reverse transcription polymerase chain reaction method (dRT-PCR) that could detect the virus from serum specimen without the need of RNA purification. Our dRT-PCR assay can be completed in 1.5 h from when a sample is received to obtaining a result. Additionally, the sensitivity of dRT-PCR matched that of conventional reverse transcription PCR (cRT-PCR) that used purified RNA. The lowest detection limit of HP-PRRSV was 6.3 TCID50 using dRT-PCR. We applied dRT-PCR assay to 144 field samples and the results showed strong consistency with those obtained by cRT-PCR. Moreover, the dRT-PCR method was able to tolerate 5-20% (v/v) serum. CONCLUSIONS: Our dRT-PCR assay allows for easier, faster, more cost-effective and higher throughput detection of HP-PRRSV compared with cRT-PCR methods. To the best of our knowledge, this is the first report to describe a real-time RT-PCR assay capable of detecting PRRSV in crude serum samples without the requirement for purifying RNA. We believe our approach has a great potential for application to other RNA viruses.

Identification of microRNA-Like RNAs in the filamentous fungus Trichoderma reesei by solexa sequencing.

microRNAs (miRNAs) are non-coding small RNAs (sRNAs) capable of negatively regulating gene expression. Recently, microRNA-like small RNAs (milRNAs) were discovered in several filamentous fungi but not yet in Trichoderma reesei, an industrial filamentous fungus that can secrete abundant hydrolases. To explore the presence of milRNA in T. reesei and evaluate their expression under induction of cellulose, two T. reesei sRNA libraries of cellulose induction (IN) and non-induction (CON) were generated and sequenced using Solexa sequencing technology. A total of 726 and 631 sRNAs were obtained from the IN and CON samples, respectively. Global expression analysis showed an extensively differential expression of sRNAs in T. reesei under the two conditions. Thirteen predicted milRNAs were identified in T. reesei based on the short hairpin structure analysis. The milRNA profiles obtained in deep sequencing were further validated by RT-qPCR assay. Computational analysis predicted a number of potential targets relating to many processes including regulation of enzyme expression. The presence and differential expression of T. reesei milRNAs imply that milRNA might play a role in T. reesei growth and cellulase induction. This work lays foundation for further functional study of fungal milRNAs and their industrial application.