Viewpoint-Invariant Exercise Repetition Counting

Background Counting the repetition of human exercise and physical rehabilitation is a common task in rehabilitation and exercise training. The existing vision-based repetition counting methods less emphasize the concurrent motions in the same video. Methods This work analyzed the spectrogram of the pose estimation result to count the repetition. Besides from the public datasets. This work also collected exercise videos from 11 adults to verify the proposed method is capable for handling concurrent motion and different view angles. Results The presented method was validated on the University of Idaho Physical Rehabilitation Movements Data Set (UI-PRMD) and MM-fit dataset. The overall mean absolute error (MAE) for MM-fit was 0.06 with off-by-one Accuracy (OBOA) 0.94. As for UI-PRMD dataset, MAE was 0.06 with OBOA 0.95. We have also tested the performance in a variety of camera locations and concurrent motions with 57 skeleton time-series video with overall MAE 0.07 and OBOA 0.91. Conclusion The proposed method provides a view-angle and motion agnostic concurrent motion counting. This method can potentially use in large-scale remote rehabilitation and exercise training with only one camera.

Help-Seeking Behaviors in Research Data Management

Investigations on the help-seeking behavior of academic library patrons have to date primarily focused on the undergraduate experience, most often in the context of reference interactions. This study seeks to explore the help-seeking behaviors of a different audience - faculty in the natural and physical sciences at an R2 land-grant university. Eighteen faculty in the natural and physical sciences at the University of Idaho were individually interviewed using an in-depth qualitative interview format and all transcripts were coded and analyzed using an open transcript data visualization tool created at the University of Idaho Library. Responses revealed that faculty are seeking help from colleagues; peers outside the university, via connections formed in graduate school or professional circles; and through DIY solutions like "just googling it," but less often through university resources and programs. Using the results of this project as a starting point, we will explore how libraries might better understand the help-seeking behavior of research faculty, with an eye towards developing services and sources that better meet faculty research needs.

Electrochemical Aspects of a Nitrogen-Doped Pseudo-Graphitic Carbon Material: Resistance to Electrode Fouling by Air-Aging and Dopamine Electro-Oxidation

The nitrogen-doped form of GUITAR (pseudo-Graphite from the University of Idaho Thermalized Asphalt Reaction) was examined by X-ray photoelectron, Raman, and X-ray diffraction spectroscopies and cyclic voltammetry (CV). Electrochemical studies indicate that N-GUITAR exhibits significant resistance to fouling by adsorption and by passivation. Unlike other carbon materials, it maintains fast heterogenous electron transfer (HET) kinetics with Fe(CN)63−/4− with exposure to air. The CV peak potential separation (ΔEp) of 66 mV increased to 69 mV in 3 h vs. 67 to 221 mV for a highly oriented pyrolytic graphite (HOPG) electrode. Water contact angle measurements indicate that N-GUITAR was able to better maintain a hydrophilic state during the 3-h exposure, going from 55.8 to 70.4° while HOPG increased from 63.8 to 80.1°. This indicates that N-GUITAR better resisted adsorption of volatile organic compounds. CV studies of dopamine also indicate N-GUITAR is resistant to passivation. The ΔEp for the dopamine/o-dopaminoquinone couple is 83 mV indicating fast HET rates. This is reflected in the peak current ratios for the oxidation and reduction processes of 1.3 indicating that o-dopaminoquinone is not lost to passivation processes. This ratio along with the minimal signal attenuation is the best reported in literature.

Scalable Born Digital Ingest Workflows for Limited Resources: A Case Study for First Steps in Digital Preservation

This article seeks to provide an example of a scalable and achievable born digital ingest workflow for cultural heritage institutions of any size, including those with limited funding. Like many small archives, the University of Idaho (U of I) Library Special Collections and Archives (SPEC) has accepted born digital material when it arrives as part of analog collections for the last 20 years. However, the Library has faced numerous challenges similar to those of other small institutions when developing workflows for born digital preservation and ingest. These include lack of funding, systems, and policies. Despite a growing number of resources that support digital preservation work, among current best practices it is difficult to find scalable workflows for institutions with limited staff and funds. By implementing accessible open-source software and prioritizing preservation tasks, U of I Library has developed a low-cost way to implement systems for digital preservation with responsibilities that can be spread out among librarians and archivists with varying technical expertise.

Assessing outcomes of genetic selection panels to predict marbling in crossbred beef cattle

The objective of this study was to evaluate the effectiveness of genetic panel marbling indexes [Igenity (IT) and PredicGEN (PG)] to predict marbling and tenderness of crossbred cattle. Steers (n = 23) were harvested at the University of Idaho Meat Science Laboratory, and blood samples were submitted to Neogen and Zoetis for genetic panel analysis. Forty-eight hours postharvest, one boneless strip loin was collected from each carcass, and six 2.54-cm thick steaks were cut from each strip loin. Steaks were aged for 14 and 21 d and assigned to consumer sensory evaluation or Warner–Bratzler Shear Force (WBSF) analysis. Results were analyzed using the Mixed Model procedure of the Statistical Analysis System (SAS Institute, Inc., Cary, NC). Carcasses were grouped by marbling index score into Low IT (IT indexes 3–6; n = 16; marbling score (MS) = 410), High IT (IT indexes 7–10; n = 7; MS = 496), Low PG (PG index <50; n = 9; MS = 398), or High PG (PG index ≥50; n = 14; MS = 458). Mean MS was observed to be greater in High IT steaks than Low IT (P < 0.01) and greater in High PG steaks than Low PG (P = 0.01). There was a trend observed in WBSF between IT marbling groups (P = 0.06); however, no difference in WBSF was observed between PG marbling groups (P = 0.83). Consumers did not report differences between IT marbling groups in terms of acceptability (P = 0.99) or tenderness (P = 0.24). Additionally, consumers could not detect differences between PG marbling groups in terms of acceptability (P = 0.75) or tenderness (P = 0.40). Consumers consistently preferred Choice steaks over Select steaks in terms of acceptability (P = 0.02) and tenderness (P = 0.02). In conclusion, though consumers were not able to tell the difference between steaks from each of the genetic panels, using genetic panels to predict marbling, in conjunction with proper nutrition and handling practices, could be a beneficial tool to producers making decisions about retaining ownership at the feedlot.

Voltammetric pH sensor based on electrochemically modified pseudo-graphite

A nanocrystalline graphite-like amorphous carbon (graphite from the University of Idaho thermolyzed asphalt reaction, GUITAR) is electrochemically modified for voltammetric pH sensing. This electrode has a pH sensing range from 0 to 11.

Reviewer Acknowledgements for Journal of Plant Studies, Vol. 8, No. 2

Journal of Plant Studies wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated. Journal of Plant Studies is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://www.ccsenet.org/journal/index.php/jps/editor/recruitment and e-mail the completed application form to [email protected]. Reviewers for Volume 8, Number 2 Bingcheng Xu, Chinese Academy of Sciences and Ministry of Water Resources, China Dariusz Kulus, University of Technology and Life Sciences, Poland Guzel R. Kudoyarova, Institute of Biology, Ufa Research Centre, Russian Academy of Sciences, Russia Joanna Helena Kud, University of Idaho, USA Milana Trifunovic-Momcilov, Institute for Biological Research “Sinisa Stankovic”, Serbia Montaser Fawzy Abdel-Monaim, Plant Pathology Res. Instatute, Agric. Res. Center, Egypt Rajnish Sharma, Parmar University of Horticulture & Forestry, India Said Laarabi, University Mohammed V/Ministry of National Education, Morocco Samuel G Obae, Stevenson University, USA Sarwan Kumar, Punjab Agricultural University, India Slawomir Borek, Adam Mickiewicz University, Poland Ya-Yi Huang, Institution of Plant and Microbial Biology, Academia Sinica, Taiwan