Towards Anthropomorphic Robot Thereminist

Theremin is an electronic musical instrument considered to be the most difficult to play which requires the players hands to have high precision and stability as any position change within proximity of the instruments antennae can make a difference to the pitch or volume. In a different direction to previous developments of Theremin playing robots, we propose a Humanoid Thereminist System that goes beyond using only one degree of freedom which will open up the possibility for robot to acquire more complex skills, such as aerial fingering and include musical expressions in playing the Theremin. The proposed system consists of two phases, namely calibration phase and playing phase which can be executed independently. During the playing phase, the System takes input from a MIDI file and performs path planning using a combination of minimum energy strategy in joint space and feedback error correction for next playing note. Three experiments have been conducted to evaluate the developed system quantitatively and qualitatively by playing a selection of music files. The experiments have demonstrated that the proposed system can effectively utilise multiple degrees of freedoms while maintaining minimum pitch error margins

Predictors and Consequences of In-hospital Formula Supplementation for Healthy Breastfeeding Newborns

BACKGROUND: Although exclusive breastfeeding is recommended for the first 6 months, the use of breast milk substitutes is widespread around the world. OBJECTIVES: To describe the patterns of infant formula supplementation among healthy breastfeeding newborns, to identify factors contributing to in-hospital formula supplementation, and to assess the dose-response relationship between the amount of in-hospital formula supplementation and the duration of any breastfeeding. METHODS: A sample of 1246 breastfeeding mother-infant pairs was recruited from 4 public hospitals in Hong Kong and followed prospectively for 12 months or until weaned. Multiple logistic regression analysis was used to examine factors associated with in-hospital supplementation. Cox regression analysis was used to explore the impact of in-hospital supplementation on breastfeeding duration. RESULTS: Of the total, 82.5% of newborns were supplemented in the hospital; one-half received formula within 5 hours of birth. Assisted vaginal delivery (odds ratio [OR] = 2.06, 95% confidence interval [CI] 1.03, 4.15), cesarean section (OR = 3.45, 95% CI 1.75, 6.80), and higher birth weight (OR = 1.56, 95% CI 1.12, 2.18) were positively associated with in-hospital formula supplementation, whereas initiating breastfeeding in the delivery room (OR = 0.55, 95% CI 0.33, 0.89) was associated with decreased likelihood of in-hospital supplementation. Any infant formula in the first 48 hours was associated with a shorter duration of breastfeeding (hazard ratio [HR] = 1.51, 95% CI 1.27, 1.80), but there was no dose-response effect. CONCLUSION: In-hospital formula supplementation is common in Hong Kong hospitals and appears to be detrimental to breastfeeding duration. Continued efforts should be made to avoid the provision of infant formula to breastfeeding babies while in the hospital unless medically indicated.postprin

An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

Migrating existing resources to cloud computing is a strategic organisational decision that can be difficult. It requires the consideration and evaluation of a wide range of technical and organisational aspects. Although a significant amount of attention has been paid by many industrialists and academics to aid migration decisions, the procedure remains difficult. This is mainly due to underestimation of the range of factors and characteristics affecting the decision for cloud migration. Further research is needed to investigate the level of effect these factors have on migration decisions and the overall complexity. This paper aims to explore the level of complexity of the decision to migrate the cloud. A research model based on the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework was developed. The model was tested using exploratory and confirmatory factor analysis. The quantitative analysis shows the level of impact of the identified variables on the decision to migrate. Seven determinants that contribute to the complexity of the decisions are identified. They need to be taken into account to ensure successful migration. This result has expanded the collective knowledge about the complexity of the issues that have to be considered when making decisions to migrate to the cloud. It contributes to the literature that addresses the complex and multidimensional nature of migrating to the cloud

An acceptance model for the adoption of smart glasses technology by healthcare professionals

In the recent years, there has been an increase in the interest from different industries in the adoption of smart wearable devices in the light of their inevitable ubiquity. One type of these devices is the Augmented Reality Smart Glasses (ARSGs), which can have great effect in different areas through providing timely information to users. One of the industries that can significantly reap the benefits of this technology is healthcare. However, as healthcare is a very multi-dimensional industry, there is a need for a multifaceted look into the adoption and acceptance of smart glasses by health professionals. This study tends to examine the acceptance of smart glasses by healthcare professionals based on Technology Acceptance Model (TAM) as there is an imperative for empirical studies on user perceptions, attitudes, and intentions. For this purpose, five external factors are extracted from the literature and field study, being integration with information systems, external effects, hands-free feature, technological compatibility, and documentation. The model is examined by using PLS-SEM methodology. This study found documentation to have the strongest impact on intention due to the substitution of paperwork by mobile devices and facilitation of continuous documentation

Involvement of protein kinase C and E2F-5 in euxanthone-induced neurite differentiation of neuroblastoma

Euxanthone, a neuritogenic agent isolated from the medicinal herb Polygala caudata, has been shown to induce morphological differentiation and neurite outgrowth in murine neuroblastoma Neuro 2a cells (BU-1 subclone). In order to elucidate the underlying mechanisms of euxanthone-induced neurite outgrowth, a proteomic approach was employed. In the present study, two dimensional (2-D) gel electrophoresis and matrix-assisted laser desorption/ionization-time of flight (MALDI-ToF) mass spectrometry were performed to investigate the alterations in protein expression profile of euxanthone-treated BU-1 cells. Fourteen identified proteins were changed in expression levels after induction of neurite growth. These proteins included participants in transcription and cell cycle regulation, calcium influx and calcium signaling, fatty acid metabolism, cytoskeleton reorganization, casein kinase signal transduction, putative transbilayer amphipath transport and protein biosynthesis. Among the 14 identified proteins, E2F transcription factor 5 (E2F-5) was significantly up-regulated after euxanthone treatment. Go6976, a protein kinase C (PKC) α/βI inhibitor, was found to inhibit neuritogenesis and expression of E2F-5 in the euxanthone-treated BU-1 cells, while SH-6, the Akt/PKB inhibitor, had no inhibitory effect. The gene silencing of E2F-5 by small interfering RNA (siRNA) was found to abolish the euxanthone-induced neurite outgrowth. In conclusion, these results indicated that the transcription factor E2F-5 was actively involved in the regulation of euxanthone-induced neurite outgrowth via PKC pathway. © 2006 Elsevier Ltd. All rights reserved.link_to_subscribed_fulltex