Increased cancer risk in patients with haemophilia A: a nationwide population-based 14-year study in Taiwan.

Haemostasis is associated with the development and dissemination of cancer. Whether cancer incidence is increased in haemophiliacs remains uncertain; thus, we aimed to further examine this issue. By using data from the National Health Insurance Research Database in Taiwan, we obtained a cohort of 683 patients with haemophilia A, and compared the incidence rate ratio (IRR) of cancer in this cohort with an age- and sex-matched control of 6830 patients. The log-rank test was used to compare Kaplan-Meier curve of the cumulative cancer incidence between two cohorts. Cox regressions were used to identify independent risk factors of cancer in the study patients. The cancer incidence of patients with haemophilia A was significantly higher compared to the control group (IRR 1.95, 95% CI 1.18-3.09, P = 0.008) during the 14-year follow-up period. The non-lymphoma and non-liver cancer incidence in the haemophilia A cohort remained higher than that of the matched control (P = 0.050 by the log-rank test). The multivariate Cox proportional hazards analysis indicated that age (per year, HR 1.09, 95% CI 1.06-1.12, P < 0.001) was the only significant risk factor for cancer development in haemophilia patients. Patients with haemophilia A had higher cancer incidence than the age- and sex-matched patients, especially for the elderly. With increasing life expectancy for haemophiliacs, physicians should be aware of their cancer development.

Risk factors for cumulative mortality in broiler chicken flocks in the first week of life in Taiwan.

(1) Factors influencing the survival of chickens in the first week of life in Taiwan were identified by modelling data from 63% of the annual national broiler production database (4769 broiler flocks). (2) Broiler chicks raised in rooms with open-curtain ventilation had the lowest mean first week cumulative mortality (CM), 1.30%, relative to those raised in rooms with negative pressure ventilation (1.42%) and water-cooled ventilation (1.37%). Increasing flock size reduced the CM. Broiler chicks shipped distances within 50 km had the lowest CM (1.22%), while broiler chicks raised in mountain areas showed the highest CM (1.65%). (3) Multiple regression analysis results indicate that ventilation type, flock size, shipping distance and delivery route influence CM in broiler chickens. Broiler chicks kept in rooms with negative pressure ventilation have an 11.22% greater CM compared to those in rooms with open-curtain ventilation. For each 1000-chicken increase in flock size, CM is reduced by 0.12%. For each kilometre increase in shipping distance, CM increases by 0.05%. Broiler chicks delivered via mountain routes show a 9.48% increase in CM compared to delivery via flat terrain. (4) Negative pressure ventilation and delivery via mountain routes are the most critical factors affecting the survival of chicks up to one week old.

Fast block matching algorithm based on the winner-update strategy.

Block matching is a widely used method for stereo vision, visual tracking, and video compression. Many fast algorithms for block matching have been proposed in the past, but most of them do not guarantee that the match found is the globally optimal match in a search range. This paper presents a new fast algorithm based on the winner-update strategy which utilizes an ascending lower bound list of the matching error to determine the temporary winner. Two lower bound lists derived by using partial distance and by using Minkowski's inequality are described. The basic idea of the winner-update strategy is to avoid, at each search position, the costly computation of the matching error when there exists a lower bound larger than the global minimum matching error. The proposed algorithm can significantly speed up the computation of the block matching because: 1) computational cost of the lower bound we use is less than that of the matching error itself; 2) an element in the ascending lower bound list will be calculated only when its preceding element has already been smaller than the minimum matching error computed so far; 3) for many search positions, only the first several lower bounds in the list need to be calculated. Our experiments have shown that, when applying to motion vector estimation for several widely-used test videos, 92% to 98% of operations can be saved while still guaranteeing the global optimality. Moreover, the proposed algorithm can be easily modified either to meet the limited time requirement or to provide an ordered list of best candidate matches. Our source codes of the proposed algorithm are available at http://smart.iis.sinica.edu.tw/html/winup.html.

New closed-form solution for kinematic parameter identification of a binocular head using point measurements.

This paper proposes a new closed-form solution for identifying the kinematic parameters of an active binocular head having four revolute joints and two prismatic joints by using three-dimensional (3-D) point (position) measurements of a calibration point. Since this binocular head is composed of off-the-shelf components, its kinematic parameters are unknown. Therefore, we can not directly apply those existing nonlinear optimization methods. Even if we want to use the nonlinear optimization methods, a closed-form solution can be first applied to obtain accurate enough initial values. Hence, this paper considers only methods that provide closed-form solutions, i.e., those requiring no initial estimates. Notice that most existing closed-form solutions require pose (i.e., both position and orientation) measurements. However, as far as we know, there is no inexpensive technique which can provide accurate pose measurements. Therefore, existing closed-form solutions based on pose measurements can not give us the required accuracy. As a result, we have developed a new method that does not require orientation measurements and can use only the position measurements of a calibration point to obtain highly accurate estimates of kinematic parameters using closed-form solutions. The proposed method is based on the complete and parametrically continuous (CPC) kinematic model, and can be applied to any kind of kinematic parameter identification problems with or without multiple end-effecters, providing that the links are rigid, the joints are either revolute or prismatic and no closed-loop kinematic chain is included.