Entropy Message Passing

The paper proposes a new message passing algorithm for cycle-free factor graphs. The proposed "entropy message passing" (EMP) algorithm may be viewed as sum-product message passing over the entropy semiring, which has previously appeared in automata theory. The primary use of EMP is to compute the entropy of a model. However, EMP can also be used to compute expressions that appear in expectation maximization and in gradient descent algorithms.Comment: 5 pages, 1 figure, to appear in IEEE Transactions on Information Theor

Efficacy of fentanyl transdermal patch in pain control after lower third molar surgery : a preliminary study

Surgical removal of impacted lower third molars is a common oral surgical procedure, generally followed by moderate to severe postoperative pain. Transdermal drug delivery as a concept offers interesting possibilities for postoperative pain control. The aim of this study was to evaluate the efficacy of transdermal system with fentanyl in relieving pain following impacted lower third molar surgery. Seventeen patients with bilateral impacted lower third molars were included in this preliminary study. For postoperative pain control, patients randomly received a fentanyl patch plus placebo tablet after the first operation and regular (placebo) patch and an analgesic, after the second operation. Analgesia was evaluated during first 24 hours postoperatively according to patients? reports about time of first pain appearance and additional analgesic consumption. Pain severity was rated using a 10 cm long visual analogue scale (VAS). Intensity of postoperative pain and postoperative analgesic consumption were significantly lower after the Fentanyl Transdermal System (FTS) was applied (p<0.05). Duration of postoperative analgesia was significantly higher with FTS when compared to control treatment (p<0.05). Based on the results of this preliminary study, transdermal system with fentanyl significantly reduced postoperative pain after third molar surgery

What impact does a change of fund manager have on mutual fund performance?

Using a unique database of UK fund manager changes over the period from 1997 to 2011, we examine the impact of such changes on fund performance. We find clear evidence to suggest that a manager change does affect the benchmark-adjusted performance of UK mutual funds. In particular we find a significant deterioration in the benchmark-adjusted returns of funds that were top performers before the manager exit and, conversely, a significant improvement in the average benchmark-adjusted returns of funds that were poor performers before the manager exit. Our use of the Carhart's (1997) four-factor model reveals that the improvement in average post manager exit performance is accompanied by a reduction in market risk, a slight reduction in exposure to small cap stocks, and an increase in exposure to value and momentum stocks. Overall, our results suggest that UK fund management companies have been relatively successful in replacing bad managers with better managers, but relatively unsuccessful at finding equivalent replacements for their top performing managers. We believe that regulators should therefore try to ensure that all efforts are made by fund management companies to inform all of their investors about a change in management

Interpretation of the Friction Coefficient During Reciprocating Sliding of Ti6Al4V Alloy Against Al2O3

Tribological behaviour of Ti6Al4V alloy, during linear reciprocating sliding against alumina, at nanotribometer (ball-on-flat type of contact) was investigated. Experiments were carried out for sliding in Ringer's solution, over a range of loads (100 - 1000 mN) and speeds (4 - 12 mm/s). Friction behaviour of the contact pairs was investigated by analysis of the dynamic friction coefficient plots and effective root mean square (rms) coefficient of friction, COFrms. Presented mathematical envelopes of dynamic coefficient of friction curves and averaged envelope signals provided additional explanation of one calculated COFrms value. Envelopes of dynamic coefficient of friction enabled easier determination of different periods during sliding, which were further related to wear mechanisms

Level of physical activity in patients with osteoporosis

Objectives: The aim of this research was to examine the degree and types of physical activity (heavy physical activity, medium heavy and light physical activity) in female patients with lower bone mineral density compared to healthy women. Materials and Methods: The cross-sectional study included 40 female patients (65,85±11,46 yrs) with lower bone mineral density (BMD) and 20 patients (56,25±6,6 yrs) with no existing abnormality of BMD levels. The research was conducted at the Medical Rehabilitation Clinic, Clinical Center of Vojvodina. Data were collected using the internationally endorsed questionnaire IPAQ. BMD was measured at lumbar spine (L1-4) and at proximal femur by Dual X-ray Absorptiometry technique (DXA). Osteoporosis was defined as BMD > -2.5 T score. Results: We found that subjects with a normal bone mineral density had the highest level of physical activity (MET = 3154.58), followed by subjects with osteopenia (MET = 2311.25). Patients suffering from osteoporosis who were physically active had the lowest value of MET (1972.95) (p˂0.01). Sub-analysis based on BMI categories showed 10% (2 patients) of those with osteopenia were underweight, compared to 40% (8 patients) in the group with osteoporosis. Conclusions: Patients with osteoporosis were more obese and less physically active, as compared to healthier females. Our findings support the fact that adapted physical activity seems to be important for the prevention and treatment of patients with osteoporosis

WO3 nanoparticles probes for direct electron transfer of proteins

Poster presented at the 4th International Conference on Bio-Sensing Technology, 10-13 May 2015, Lisbon

Cognitive flexibility training for chronic pain: A randomized clinical study

INTRODUCTION: Previous studies suggest an association between cognitive flexibility and development of chronic pain after surgery. It is not known whether cognitive flexibility can be improved in patients with chronic pain. OBJECTIVES: This study tested whether a neurocognitive training program results in improved cognitive flexibility and pain in patients with chronic pain. METHODS: We conducted a single-center, prospective, randomized study investigating 5-week daily neurocognitive training in patients with chronic pain. Participants (n = 145) were randomized into neurocognitive training or care as usual, and they completed assessments at baseline, posttreatment, and 3 months. The treatment group was asked to spend 35 minutes daily completing a program with tasks on cognitive flexibility, memory, attention, and speed. The primary outcome was performance on the neurocognitive performance test (NCPT). Secondary outcomes included levels of pain interference and severity. RESULTS: At 5 weeks, the treatment group showed greater improvements on NCPT compared with the control group ( CONCLUSIONS: Outcomes suggest that using neurocognitive training to modify cognitive flexibility in patients with chronic pain may improve pain severity. This study provided effect size estimates to inform sample size calculations for randomized controlled trials to test the effectiveness of neurocognitive interventions for the prevention and treatment of chronic pain

Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?

Recent computer vision approaches are aimed at richer image interpretations that extend the standard recognition of objects in images (e.g., cars) to also recognize object attributes (e.g., cylindrical, has-stripes, wet). However, the more idiosyncratic and abstract the notion of an object attribute (e.g., cool car), the more challenging the task of attribute recognition. This paper considers whether end users can help vision algorithms recognize highly idiosyncratic attributes, referred to here as subjective attributes. We empirically investigated how end users recognized three subjective attributes of carscool, cute, and classic. Our results suggest the feasibility of vision algorithms recognizing subjective attributes of objects, but an interactive approach beyond standard supervised learning from labeled training examples is needed