Collaborative Robotics: More Than Just Working in Groups

The purpose of this study was to determine what collaborative interventions produce positive effects for students working on collaborative robotics projects for science process skills, collaborative problem solving, and learning motivation. In addition, the study examined the impact students’ prior robotics experience had on science process skills, collaborative problem solving, and learning motivation. The results indicated experience level and collaboration interventions can have impacts on students. Assigned Group Roles had positive effects on students’ motivation and collaborative problem solving. Experience level also had effects upon student learning motivation and collaborative problem solving with the Novice status associated with higher levels as compared with students who had more experience. A collaboration intervention was identified that has the potential to produce positive effects for students in collaborative robotics projects as well as assist classroom educators in the purposeful design of collaborative robotics projects with scientifically based strategies to improve the attitudinal outcomes for students of various robotics experience

Collaborative Robotics, More Than Just Working in Groups: Effects of Student Collaboration on Learning Motivation, Collaborative Problem Solving, and Science Process Skills in Robotic Activities

Robotics in education has shown the potential to positively benefit student learning and attitudes towards learning. However, a necessary part of robotics instruction is group collaboration. Therefore, the purpose of this study was to determine what collaborative scaffolds, or interventions, produce positive effects for students working on collaborative robotics projects for science process skills, collaborative problem solving, and motivation. In addition, the study examined the impact students’ prior robotics experience had on science process skills, collaborative problem solving, and motivation. The study had two experience levels, Novice and Experienced, and three intervention conditions. The interventions included Assigned Group Roles, Classroom Discussion, and Previous Instructional Practices, which followed practices from prior years without any additional collaborative supports. All the participants experienced problem-based learning during the collaborative robotics project with collaborative scaffolds based upon their intervention conditions. The goal of the study was to identify what collaboration interventions can best support the collaborative nature of robotics instruction and create a beneficial learning environment for students by supporting student collaboration and possibly improving student motivation, collaborative problem solving, and science process skills. Furthermore, the study sought to identify impacts of different robotics experience levels to fully understand collaborative robotics projects for students as they progress through a continuing robotics curriculum. The results of the study indicated experience level and collaboration interventions can have impacts on students. Assigned Group Roles had positive effects on students’ motivation and collaborative problem solving. Experience level also had effects upon student motivation and collaborative problem solving with the Novice level demonstrating higher outcomes. A collaboration intervention was identified that has the potential to produce positive effects for students in collaborative robotics projects as well as assist classroom educators in the purposeful design of collaborative robotics projects with scientifically based strategies to improve the attitudinal outcomes for students of various robotics experience

Exploring Factors That Influence Computational Thinking Skills in Elementary Students’ Collaborative Robotics

Recently educational robotics has expanded into curriculum beyond traditional STEM fields, and which can also be used to foster computational thinking (CT) skills. Prior research has shown numerous interdisciplinary benefits related to CT, however, these influential factors have often been investigated with relatively few variables. This study investigated factors that may lead to 4th and 5th grade elementary school students’ development of computational thinking skills in collaborative robotics activities by hypothesizing a model which proposed that a problem solving inventory, intrinsic motivation, and enjoyment were the main predictors of computational thinking skills. The model was then tested by surveying students with several psychometric inventories where a revised model was then constructed. The study found significant relationships between perceived competence and enjoyment, and learning motivation, and intrinsic motivation. Another important finding was that problem solving was a significant predictor of computational thinking skills. Results were interpreted with reference to implications for possible means of improving learning outcomes when using collaborative robotics in an educational setting

A systematic review of multimodal prehabilitation in breast cancer.

Purpose: Breast cancer is the most prevalent malignancy in women. Prehabilitation may offer improvements in physical and psychological wellbeing among participants prior to treatment. This systematic review aimed to determine the efficacy of prehabilitation in participants diagnosed with breast cancer. Methods: A systematic review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Guidelines. Studies exploring the impact of prehabilitation in participants with breast cancer were included. Studies were assessed independently according to pre-eligibility criteria, with data extraction and methodological quality assessed in parallel. Results: 3184 records were identified according to our search criteria, and 14 articles were included. Articles comprised of quantitative randomised controlled trials (n = 7), quantitative non-randomised studies (n = 5), a qualitative study (n = 1), and a mixed-method study (n = 1). The majority of selected studies completed exercise programs (n = 4) or had exercise components (n = 2), with two focusing on upper-limb exercise. Five articles reported complementary and alternative therapies (n = 5). Two articles reported smoking cessation (n = 2), with a single study reporting multi-modal prehabilitation (n = 1). Mostly, prehabilitation improved outcomes including physical function, quality of life, and psychosocial variables (P < 0.05). The qualitative data identified preferences for multimodal prehabilitation, compared to unimodal with an interest in receiving support for longer. Conclusions: Prehabilitation for patients with breast cancer is an emerging research area that appears to improve outcomes, however, ensuring that adequate intervention timeframes, follow-up, and population groups should be considered for future investigations. Implications for Cancer Survivors: The implementation of prehabilitation interventions for individuals diagnosed with breast cancer should be utilised by multidisciplinary teams to provide holistic care to patients as it has the potential to improve outcomes across the cancer care trajectory

Application of a correlation correction factor in a microarray cross-platform reproducibility study

Background Recent research examining cross-platform correlation of gene expression intensities has yielded mixed results. In this study, we demonstrate use of a correction factor for estimating cross-platform correlations. Results In this paper, three technical replicate microarrays were hybridized to each of three platforms. The three platforms were then analyzed to assess both intra- and cross-platform reproducibility. We present various methods for examining intra-platform reproducibility. We also examine cross-platform reproducibility using Pearson\u27s correlation. Additionally, we previously developed a correction factor for Pearson\u27s correlation which is applicable when X and Y are measured with error. Herein we demonstrate that correcting for measurement error by estimating the disattenuated correlation substantially improves cross-platform correlations. Conclusion When estimating cross-platform correlation, it is essential to thoroughly evaluate intra-platform reproducibility as a first step. In addition, since measurement error is present in microarray gene expression data, methods to correct for attenuation are useful in decreasing the bias in cross-platform correlation estimates

PANasta Trial; Cattell Warren versus Blumgart techniques of panreatico-jejunostomy following pancreato-duodenectomy: Study protocol for a randomized controlled trial

PANasta operative manual. (PDF 520 kb

An Automated High-throughput Array Microscope for Cancer Cell Mechanics

Changes in cellular mechanical properties correlate with the progression of metastatic cancer along the epithelial-to-mesenchymal transition (EMT). Few high-throughput methodologies exist that measure cell compliance, which can be used to understand the impact of genetic alterations or to screen the efficacy of chemotherapeutic agents. We have developed a novel array high-throughput microscope (AHTM) system that combines the convenience of the standard 96-well plate with the ability to image cultured cells and membrane-bound microbeads in twelve independently-focusing channels simultaneously, visiting all wells in eight steps. We use the AHTM and passive bead rheology techniques to determine the relative compliance of human pancreatic ductal epithelial (HPDE) cells, h-TERT transformed HPDE cells (HPNE), and four gain-of-function constructs related to EMT. The AHTM found HPNE, H-ras, Myr-AKT, and Bcl2 transfected cells more compliant relative to controls, consistent with parallel tests using atomic force microscopy and invasion assays, proving the AHTM capable of screening for changes in mechanical phenotype

A large-scale automated radio telemetry network for monitoring movements of terrestrial wildlife in Australia

Technologies for remotely observing animal movements have advanced rapidly in the past decade. In recent years, Australia has invested in an Integrated Marine Ocean Tracking (IMOS) system, a land ecosystem observatory (TERN), and an Australian Acoustic Observatory (A2O), but has not established movement tracking systems for individual terrestrial animals across land and along coastlines. Here, we make the case that the Motus Wildlife Tracking System, an open-source, rapidly expanding cooperative automated radio-tracking global network (Motus, https://motus.org) provides an unprecedented opportunity to build an affordable and proven infrastructure that will boost wildlife biology research and connect Australian researchers domestically and with international wildlife research. We briefly describe the system conceptually and technologically, then present the unique strengths of Motus, how Motus can complement and expand existing and emerging animal tracking systems, and how the Motus framework provides a much-needed central repository and impetus for archiving and sharing animal telemetry data. We propose ways to overcome the unique challenges posed by Australia’s ecological attributes and the size of its scientific community. Open source, inherently cooperative and flexible, Motus provides a unique opportunity to leverage individual research effort into a larger collaborative achievement, thereby expanding the scale and scope of individual projects, while maximising the outcomes of scant research and conservation funding

Effects of Methoxyisoflavone, Ecdysterone, and Sulfo-Polysaccharide Supplementation on Training Adaptations in Resistance-Trained Males

PURPOSE: Methoxyisoflavone (M), 20-hydroxyecdysone (E), and sulfo-polysaccharide (CSP3) have been marketed to athletes as dietary supplements that can increase strength and muscle mass during resistancetraining. However, little is known about their potential ergogenic value. The purpose of this study was to determine whether these supplements affect training adaptations and/or markers of muscle anabolism/catabolism in resistance-trained athletes. METHODS: Forty-five resistance-trained males (20.5±3 yrs; 179±7 cm, 84±16 kg, 17.3±9 % body fat) were matched according to FFM and randomly assigned to ingest in a double blind manner supplements containing either a placebo (P); 800 mg/day of M; 200 mg of E; or, 1,000 mg/day of CSP3 for 8-weeks during training. At 0, 4, and 8-weeks, subjects donated fasting blood samples and completed comprehensive muscular strength, muscular endurance, anaerobic capacity, and body composition analysis. Data were analyzed by repeated measures ANOVA. RESULTS: No significant differences (p&gt;0.05) were observed in training adaptations among groups in the variables FFM, percent body fat, bench press 1RM, leg press 1RM or sprint peak power. Anabolic/catabolic analysis revealed no significant differences among groups in active testosterone (AT), free testosterone (FT), cortisol, the AT to cortisol ratio, urea nitrogen, creatinine, the blood urea nitrogen to creatinine ratio. In addition, no significant differences were seen from pr

Observation of an Exotic S=+1S=+1 Baryon in Exclusive Photoproduction from the Deuteron

In an exclusive measurement of the reaction $\gamma d \to K^+ K^- p n$, a narrow peak that can be attributed to an exotic baryon with strangeness $S=+1$ is seen in the $K^+n$ invariant mass spectrum. The peak is at $1.542\pm 0.005$ GeV/c$^2$ with a measured width of 0.021 GeV/c$^2$ FWHM, which is largely determined by experimental mass resolution. The statistical significance of the peak is $5.2 \pm 0.6 \sigma$. The mass and width of the observed peak are consistent with recent reports of a narrow $S=+1$ baryon by other experimental groups.Comment: 5 pages, 5 figure