The Relationship of Online Communication Modes on Counselor Educator Job Satisfaction

With the increase in pressures related to teaching online, counselor educators are experiencing greater amounts of burnout. The purpose of this quantitative causal-comparative survey study was to assess for significant differences and correlations between synchronous and asynchronous communication modes on online counselor educators\u27 job satisfaction levels as measured by the Online Instructor Satisfaction Measure, and levels of burnout, as measured by the Maslach Burnout Inventory Educators Survey. The researcher used Moore\u27s theory of transactional distance as the theoretical framework to answer 2 research questions: (a) Is there a significant difference in faculty satisfaction and burnout levels based on communication modes?; and (b) Is there a relationship between satisfaction and burnout for faculty members depending on their use of synchronous and asynchronous communication modes? The researcher solicited participants for the study through the CESNET listserv and the CACREP graduate program database. A total of 125 participants completed surveys and 2 data analysis techniques were used. Results of the t test indicated that counselor educators had significantly higher levels of satisfaction, higher levels of personal accomplishment and significantly lower levels of emotional exhaustion when using synchronous communications. The Pearson correlation analysis results indicated significant correlations between satisfaction, emotional exhaustion, depersonalization, and personal accomplishment depending on the type of communications. The study will potentially contribute to social change by providing information useful for the implementation of teaching methods that improve overall faculty satisfaction and decrease burnout

Site selective C–H functionalization of Mitragyna alkaloids reveals a molecular switch for tuning opioid receptor signaling efficacy

Mitragynine (MG) is an indole alkaloid from kratom plant that binds opioid receptors and as such presents a scaffold for the development of atypical opioid receptor modulators. Here, the authors report a synthetic method for selective functionalization of the C11 position of MG, and show that this position is essential for fine-tuning opioid receptor signaling efficacy

Supplemental Material for: Multi-site evaluation of APEX for water quality: II. Regional parameterization

Model performance was assessed using Nash-Sutcliffe model efficiency (NSE), coefficient of determination (r2), and percent bias (PBIAS) as defined by Moriasi et al. (2007 and 2015). Threshold values indicating acceptable model performance based on these statistics are dependent on the spatial and temporal scales of the data, water quality constituents of interest, and the modeling objectives (Moriasi et al., 2015). Although some standard values have been suggested (Moriasi et al., 2007 and 2015), considerable variability exist in the published literature. For instance Ramanarayan et al. (1997) considered r2 \u3e0.5 and NSE \u3e0.40 as satisfactory for simulation of monthly surface water quality with the APEX model. Chung et al. (2002) defined r2 \u3e 0.5 and NSE \u3e 0.3 as satisfactory for monthly tile flow and NO3-N loss simulated with the Erosion Productivity Impact Calculator (EPIC) model. Wang et al. (2008) indicated r2 \u3e 0.5 and NSE \u3e 0.4 as acceptable for monthly runoff and nutrient concentrations using the APEX model. Moriasi et al. (2007) suggested NSE \u3e 0.5 with P-bias ±25% for streamflow, ±55% for sediment and ±70% for nitrogen and phosphorus for monthly values. They also indicated that NSE values can be relaxed for shorter time steps (daily events). Yin et al. (2009) reported NSE for event based runoff and sediment between 0.41-0.84 and r2 between 0.55 - 0.85. Mudgal et al. (2010) regarded r2 \u3e 0.5 and NSE \u3e 0.45 as threshold for satisfactory calibration and validation with event data

Blueberry Advisory Committee Research Report

The 1984 edition of the Blueberry Progress Reports was prepared for the Maine Blueberry Commission and the University of Maine Blueberry Advisory Committee by researchers with the Maine Agricultural Experiment Station and Maine Cooperative Extension Service at the University of Maine, Orono. Projects in this report include: 1. Control, biology, and ecology of insects affecting lowbush blueberries . 2. Chemical control of mummyberry disease (Monilinia vaccinii-corymbosi) 3. New Fungicides for control of Botrytis blossom blight 4. Nutritional survey of selected lowbush blueberry fields 5. Interaction of fertility and pruning practices on soil characteristics and lowbush blueberry growth and yield 6. Long term effects of N and NPK fertilizer on plant growth and yield 7. The effect of N fertilization on clonal spread 8. Nutritional responses of the lowbush blueberry in new plantings as related to early establishment 9. The effect of several mulches on frost heaving, soil moisture, soil temperature and rhizome development 10. Effectiveness of mulches and planted lowbush blueberry seedlings for stabilizing soils and increasing plant cover 11. Effect of surface mulches on stabilizing lowbush blueberry soil in barren areas 12. Frequency of fertility application for establishment of lowbush blueberry seedlings 13. Slow release vs liquid fertilizer for establishment of lowbush blueberry seedlings 14. Comparison of rooted cuttings and tissue culture propagated lowbush blueberry plants 15. The effect of growth regulator formulations on growth and rhizome production of the lowbush blueberry 16. Unburned, mowed fields 17. Blueberry concentrate 18. Blueberry product development 19. Dehydrated blueberries 20. Low-calorie blueberry jellies 21. Hexazinone and terbacil mixture for weed control 22. Hexazinone and atrazine mixture for weed control 23. Effect of hexazinone and nitrogen or nitrogen-phosphorus fertilizer on lowbush blueberry plants 24. Hand-wiper applications of herbicides on birch, maple and willow 25. Glyphosate applied after leaf drop for bunchberry control 26. Napropamide for seedling weed control 27. PP333 plant growth regulator 28. Dichlobenil for bunchberry control 29. Effect of hexazinone on weed and blueberry populations 30. Fluazifop-butyl for grass control 31. Hand-wiping and cutting treatments for dogbane 32. Evaluation of airblast sprayer application of asulam for bracken fern control 33. Evaluation of spot treatment of woody weeds with 2,4-D in oil 34. Steam heat as a control of mummyberry diseas

Author Correction: A consensus-based transparency checklist.

An amendment to this paper has been published and can be accessed via a link at the top of the paper

Aptamer-based multiplexed proteomic technology for biomarker discovery

Interrogation of the human proteome in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology. We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 [mu]L of serum or plasma). Our current assay allows us to measure ~800 proteins with very low limits of detection (1 pM average), 7 logs of overall dynamic range, and 5% average coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding DNA aptamer concentration signature, which is then quantified with a DNA microarray. In essence, our assay takes advantage of the dual nature of aptamers as both folded binding entities with defined shapes and unique sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD). We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to discover unique protein signatures characteristic of various disease states. More generally, we describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine

The value and opportunities of community-and citizen-based approaches to tropical forest biodiversity monitoring

The biodiversity sourcebook is accessible in pdf format for free from:•GOFC-GOLD Land Cover Office website: http://www.gofcgold.wur.nl/sites/gofcgold-geobon_biodiversitysourcebook.php•GEO BON website:http://geobon.org