3,809 research outputs found
Integration of markets vs. integration by agreements
This paper provides an analysis of the two channels of regional integration: integration via markets and integration via agreements. Given that East Asia and Latin America are two fertile regions where both forms of integrations have taken place, the authors examine the experiences of these two areas. There are four related results. First, East Asia had been integrating via markets long before formal agreements were in vogue in the region. Latin America, by contrast, has primarily used formal regional trade treaties as the main channel of integration. Second, despite the relative lack of formal regional trade treaties until recently, East Asia is more integrated among itself than Latin America. Third, from a purely economic and trade standpoint, the proper sequence of integrations seems to be first integrating via markets and subsequently via formal regional trade agreements. Fourth, regional trade agreements often serve multiple constituents. The reason why integrating via markets first can be helpful is because this can give stronger political bargaining power to the outward-looking economic-oriented forces within the country.Trade Law,Free Trade,Trade and Regional Integration,Trade Policy,Emerging Markets
Using 360-degree multi-source feedback to evaluate professionalism in surgery departments: an Iranian perspective
Background: Medical professionalism helps physicians adopt a proper and good healing action for the patients based on their particular circumstance. This study was conducted to assess professionalism in surgical residents, using a 360-degree evaluation technique in several teaching hospitals in Tehran, Iran. Methods: This study was conducted on all the second and third year surgery residents from three university teaching hospitals in Tehran. Multi-source feedback questionnaire contained 10 questions on the residents’ professional behavior and was completed by the faculty and staff members (nurses, operation room staff, and medical assistants) as well as other surgery residents, interns and patients to evaluate each resident. Response rates were used to determine feasibility for each of the respondent groups and the mean and standard deviation score for each question was computed to determine the viability of the items. Reliability was assessed using alpha Cronbach coefficient for each respondent group. The correlation between these scores and the residents’ final and OSCE grade was also assessed. Results: The internal consistency reliability for 360-degree rating was 0.889. There was no significant difference in the residents’ score in different hospitals. While male residents obtained higher total score, there was no significant difference between them. The residents, however, obtained lower scores compared to the staff. The highest score was recorded for question 6, suggesting that the residents treated the patients regardless of their socioeconomic status. Conclusion: This study revealed a strong agreement between the results gathered from different respondents, confirming the reliability of the questionnaire and the respondents’ unbiased response. It also revealed that the residents did well in the whole test, showing they were conscientious and learning to become medical professionals
The Patterns of Injuries Caused by Interpersonal Violence among Cases Referred to Kerman Legal Medicine Organization during 2011 to 2013
Background: Violence makes a wide range of physical and mental problems and can cause serious injuries and even death.This study aimed to assess epidemiologic patterns of injuries caused by interpersonal violence among cases referred to Kerman Legal Medicine Organization during Sep 2011 to Sep 2013.
Methods: In this cross-sectional study, 431 cases of interpersonal violence referred to Kerman Legal Medicine Organization during Sep 2011 to Sep 2013 were studied. Demographic data, type of violence and injury were recorded. Data were analyzed using chi-square test and through SPSS19.
Results: The majority of subjects (62.2%) were male with a mean age of 31.78 ± 11.77 years. The most common (51.7%) injury was bruise. Scratches, abrasion and dental damage were significantly higher in men (P=0.02, 0.001, 0.006 respectively). Bruises and pain without apparent effects were higher in women (P=0.02). The most frequent site of injury was head and neck (69.6%) and the least was the genital area (1.6%). Chest injuries were significantly more frequent in men (P=0.008), while upper limb injuries were more frequent in women (P=0.01).
Conclusion: Injuries caused by interpersonal violence were of higher frequency and severity among young men. Since the economic and social burden of these injuries on individuals, families, and the society is considerable, preventive strategies should be considered in health planning
Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients.
© 2015 Massé et al.Background: Stroke survivors often suffer from mobility deficits. Current clinical evaluation methods, including questionnaires and motor function tests, cannot provide an objective measure of the patients mobility in daily life. Physical activity performance in daily-life can be assessed using unobtrusive monitoring, for example with a single sensor module fixed on the trunk. Existing approaches based on inertial sensors have limited performance, particularly in detecting transitions between different activities and postures, due to the inherent inter-patient variability of kinematic patterns. To overcome these limitations, one possibility is to use additional information from a barometric pressure (BP) sensor. Methods: Our study aims at integrating BP and inertial sensor data into an activity classifier in order to improve the activity (sitting, standing, walking, lying) recognition and the corresponding body elevation (during climbing stairs or when taking an elevator). Taking into account the trunk elevation changes during postural transitions (sit-to-stand, stand-to-sit), we devised an event-driven activity classifier based on fuzzy-logic. Data were acquired from 12 stroke patients with impaired mobility, using a trunk-worn inertial and BP sensor. Events, including walking and lying periods and potential postural transitions, were first extracted. These events were then fed into a double-stage hierarchical Fuzzy Inference System (H-FIS). The first stage processed the events to infer activities and the second stage improved activity recognition by applying behavioral constraints. Finally, the body elevation was estimated using a pattern-enhancing algorithm applied on BP. The patients were videotaped for reference. The performance of the algorithm was estimated using the Correct Classification Rate (CCR) and F-score. The BP-based classification approach was benchmarked against a previously-published fuzzy-logic classifier (FIS-IMU) and a conventional epoch-based classifier (EPOCH). Results: The algorithm performance for posture/activity detection, in terms of CCR was 90.4 %, with 3.3 % and 5.6 % improvements against FIS-IMU and EPOCH, respectively. The proposed classifier essentially benefits from a better recognition of standing activity (70.3 % versus 61.5 % [FIS-IMU] and 42.5 % [EPOCH]) with 98.2 % CCR for body elevation estimation. Conclusion: The monitoring and recognition of daily activities in mobility-impaired stoke patients can be significantly improved using a trunk-fixed sensor that integrates BP, inertial sensors, and an event-based activity classifier
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