Anticipating Daily Intention using On-Wrist Motion Triggered Sensing

Anticipating human intention by observing one's actions has many applications. For instance, picking up a cellphone, then a charger (actions) implies that one wants to charge the cellphone (intention). By anticipating the intention, an intelligent system can guide the user to the closest power outlet. We propose an on-wrist motion triggered sensing system for anticipating daily intentions, where the on-wrist sensors help us to persistently observe one's actions. The core of the system is a novel Recurrent Neural Network (RNN) and Policy Network (PN), where the RNN encodes visual and motion observation to anticipate intention, and the PN parsimoniously triggers the process of visual observation to reduce computation requirement. We jointly trained the whole network using policy gradient and cross-entropy loss. To evaluate, we collect the first daily "intention" dataset consisting of 2379 videos with 34 intentions and 164 unique action sequences. Our method achieves 92.68%, 90.85%, 97.56% accuracy on three users while processing only 29% of the visual observation on average

Intelligent Product Brokering for E-Commerce: An Incremental Approach to Unaccounted Attribute Detection

This research concentrates on designing generic product-brokering agent to understand user preference towards a product category and recommends a list of products to the user according to the preference captured by the agent. The proposed solution is able to detect both quantifiable and non-quantifiable attributes through a user feedback system. Unlike previous approaches, this research allows the detection of unaccounted attributes that are not within the ontology of the system. No tedious change of the algorithm, database, or ontology is required when a new product attribute is introduced. This approach only requires the attribute to be within the description field of the product. The system analyzes the general product descriptions field and creates a list of candidate attributes affecting the user’s preference. A genetic algorithm verifies these candidate attributes and excess attributes are identified and filtered off. A prototype has been created and our results show positive results in the detection of unaccounted attributes affecting a user

An Evaluation of High School Students' Change in Knowledge and Preferences towards Seafood through Education

Aquaculture and wild-caught seafood contribute to the global seafood demand, but ocean resources have exceeded a sustainable yield. To promote a sustainable future, we must educate adolescent seafood consumers on factors that have the greatest impact in driving consumption preferences. Targeting adolescents can make a difference in their present food habits and lead to conscious consumers in the future. A pre- and post-survey was developed to assess high school students' knowledge and preference for aquaculture versus wild-caught seafood before and after the implementation of an educational program. The educational program, A.Q.U.A. (A Quest to Understand Aquaculture) was developed by the Center for Tropical and Subtropical Aquaculture (CTSA) covering five lessons. Survey responses were collected from three high schools across the island of Oʻahu, Hawaiʻi. Using a mental model analysis, education was found to be effective at increasing the knowledge of aquaculture and the preference for aquaculture seafood based on all four factors: ‘taste’, ‘environmental impact’, ‘health concerns’, and ‘what they eat at home’. Using analysis of variance tests, schools were found to have a significant impact on the change in knowledge of aquaculture. The study provides useful information needed to implement an effective education program into school curricula to enhance students' knowledge and promote conscious consumption for the benefit of a sustainable future. Keywords: aquaculture seafood, wild-caught seafood, education, consumption preferences, dietary behaviors DOI: 10.7176/JEP/14-34-01 Publication date: December 31st 202

Candida lipolytica candidemia as a rare infectious complication of acute pancreatitis: A case report and literature review

Candida lipolytica candidemia is a rare but an emerging pathogenic yeast infection in humans. It can gain access to the bloodstream through intravascular catheterization, especially through central venous catheters in immunocompromised or critically ill patients during hospitalization. In this report, we present a noncatheter-related C. lipolytica candidemia infection in an 84-year-old man who was admitted due to acute pancreatitis. The possible pathogenesis and management of C. lipolytica candidemia are highlighted. It was an unusual infectious complication of acute pancreatitis. Clinicians should be aware that such an opportunistic pathogen can lead to invasive candidemia infection. In clinical practice, systemic antifungal therapy and the removal of the potentially infected central venous catheter might be recommended for the treatment of C. lipolytica candidemia

Prevalence of obstructive sleep apnea in patients with squamous cell carcinoma of the tongue following ablation surgery

AbstractBackground/purposeThe purpose of this study was to determine the prevalence of obstructive sleep apnea (OSA) in patients with squamous cell carcinoma (SSC) of the tongue after primary surgical resection and to correlate the presence of OSA with the occurrence of obstructive apnea in this patient population.Materials and methodsThis was a retrospective study of 26 Taiwanese patients, 24 males and two females, aged 37–71 years, after surgical resection of SSC of the tongue. Patients who had a follow-up after treatment of 6 months to 11 years were eligible for inclusion. During the post-treatment period, the occurrence of OSA was determined in these patients. Overnight polysomnography (PSG) was used to determine the apnea–hypopnea index (AHI). Patients were considered to have OSA if the AHI value was >5.ResultsPatients with an AHI value of <5 showed a mean body mass index (BMI) of 22.8 kg/m2, while those with an AHI value of >5 showed a mean BMI of 28.3 kg/m2. The BMI distribution between patients with AHI value of <5 and those with AHI values of >5 was statistically significant (P = 0.018). Using the definition of clinically significant sleep apnea as AHI > 5, 14 of 26 patients (53.85%) had clinical OSA. The OSA and non-OSA groups showed no statistical significance in terms of age, tumor size, tongue ablation, neck dissection [method?], or wound reconstruction methods.ConclusionIncidence of OSA in the patient population with SSC of the tongue was found to be significantly higher than that in the general population. The limitations of this study were the relatively small patient sample size and no presurgical PSG record being obtained from the patients to compare the sleep quality before and after cancer therapy

MAX-DOAS measurements of tropospheric NO2_{2} and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations

We present two-dimensional scanning Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations of nitrogen dioxide (NO$_{2}$) and formaldehyde (HCHO) in Munich. Vertical columns and vertical distribution profiles of aerosol extinction coefficient, NO$_{2}$ and HCHO are retrieved from the 2D MAX-DOAS observations. The measured surface aerosol extinction coefficients and NO$_{2}$ mixing ratios derived from the retrieved profiles are compared to in situ monitoring data, and the surface NO$_{2}$ mixing ratios show a good agreement with in situ monitoring data with a Pearson correlation coefficient (R) of 0.91. The aerosol optical depths (AODs) show good agreement as well (R = 0.80) when compared to sun photometer measurements. Tropospheric vertical column densities (VCDs) of NO$_{2}$ and HCHO derived from the MAX-DOAS measurements are also used to validate Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) satellite observations. Monthly averaged data show a good correlation; however, satellite observations are on average 30 % lower than the MAX-DOAS measurements. Furthermore, the MAX-DOAS observations are used to investigate the spatiotemporal characteristic of NO$_{2}$ and HCHO in Munich. Analysis of the relations between aerosol, NO$_{2}$ and HCHO shows higher aerosol-to-HCHO ratios in winter, which reflects a longer atmospheric lifetime of secondary aerosol and HCHO during winter. The analysis also suggests that secondary aerosol formation is the major source of these aerosols in Munich

Carbon Dioxide Angiography in Lower Limbs: A Prospective Comparative Study With Selective Iodinated Contrast Angiography

This was a prospective comparison of the accuracy and image quality of carbon dioxide digital subtraction angiography (CO2 DSA) and iodinated contrast digital subtraction angiography (ICDSA) in evaluating lower extremity arteries and patient tolerance of the procedures. Selective DSA was performed in 14 Taiwanese patients who were diagnosed with peripheral artery occlusive disease (PAOD). Both contrast materials were administered through mechanical injectors. Post-processing of the image used pixel shifting. Images of vessels were divided into 22 anatomic segments and evaluated by two experienced radiologists. A four-point scale was used to classify diseased vessels. Two interpreters rated the CO2 DSA image against the ICDSA image on a three-point scale. Patient tolerance was assessed from verbal descriptions. Cohen's kappa was used to determine interobserver agreement and descriptive statistics were used to summarize patient experience. Interobserver agreement ranged from fair to excellent, with most being good or excellent. Three patients (21.4%) could not tolerate the whole procedure and nine patients (64.3%) reported discomfort during the CO2 DSA procedure. CO2 DSA image quality was better for the thigh than the distal runoff and pelvic regions. Our results showed that selective CO2 DSA cannot replace ICDSA as a routine diagnostic tool for PAOD because it does not give images of comparative quality

Uniformly Distributed Graphene Domain Grows on Standing Copper via Low-Pressure Chemical Vapor Deposition

Uniformly distributed graphene domains were synthesized on standing copper foil by a low-pressure chemical vapor deposition system. This method improved the distribution of the graphene domains at different positions on the same piece of copper foil along the forward direction of the gas flow. Scanning electron microscopy (SEM) showed the average size of the graphene domains to be about ~20 m. This results show that the sheet resistance of monolayer graphene on a polyethylene terephthalate (PET) substrate is about ~359 /□ whereas that of the four-layer graphene films is about ~178 /□, with a transmittance value of 88.86% at the 550 nm wavelength. Furthermore, the sheet resistance can be reduced with the addition of HNO3 resulting in a value of 84 /□. These values meet the absolute standard for touch sensor applications, so we believe that this method can be a candidate for some transparent conductive electrode applications