A probabilistic alternative to regression suites

Automated regression suites are essential in developing large applications, while maintaining reasonable quality and timetables. The main argument against the automation of regression suites, in addition to the cost of creation and maintenance, is the observation that if you run the same test many times, it becomes increasingly less likely to find bugs. To alleviate such problems, a new regression suite practice, using random test generators to create regression suites on-the-fly, is becoming more common. In this practice, instead of maintaining tests, we generate test suites on-the-fly by choosing several specifications and generating a number of tests from each specification.     

Synthesis and Characterization of Thrombin Conjugated γ‐Fe2O3 Magnetic Nanoparticles for Hemostasis

Thrombin is the final protease produced in the clotting pathways. Thrombin has been used in the clinic more than six decades for topical hemostasis and wound management. In human plasma the half‐life of thrombin is shorter than 15 seconds due to close control by inhibitors. In order to stabilize thrombin, this enzyme was conjugated covalently and physically to γ‐Fe₂O₃ magnetic nanoparticles. The physical conjugation was accomplished through adsorption of thrombin to BSA coating on the nanoparticles. The coagulant activity of the covalently bound thrombin was significantly lower than that of the physically adsorbed thrombin. Leakage of the physically bound thrombin into PBS containing 4% HSA was negligible. The physical conjugation of thrombin onto the nanoparticles stabilized the thrombin against its major inhibitor antithrombin III and improved its storage stability. At optimal CaCl₂ concentration, the clotting time by the bound thrombin is shorter than that of the free enzyme. This novel conjugated thrombin may be an efficient candidate for topical hemostasis and wound healing.     

On the decoding of convolutional codes on an unknown channel

An algorithm is proposed for universal decoding of convolutional/trellis codes employed over unknown channels. On discrete memoryless channels and at rates below the channel's computational cutoff rate (for a uniform input distribution), the algorithm achieves an asymptotic complexity-performance tradeoff similar to the tradeoff achieved by the Viterbi (1979) algorithm, but with the benefit that the algorithm's implementation does not require knowledge of the channel law. The algorithm is also applicable to channels with memory, and in particular to intersymbol interference (ISI) channels, to channels with nonlinear ISI, and even to general finite-state channels     

Impact of <Emphasis Type="Italic">in vivo</Emphasis> glycation of LDL on platelet aggregation and monocyte chemotaxis in diabetic <Emphasis Type="Italic">Psammomys obesus</Emphasis>

Psammomys obesus (sand rat) is an appropriate model to highlight the development of hyperinsulinemia, insulin resistance, obesity, and diabetes. This animal species, with genetically predetermined diabetes, acquires non-insulin dependent diabetes mellitus when exposed to energy-rich diets. In the present study, we explored the possibility that glycation of LDL may occur in diabetes-prone P. obesus and affect platelet and macrophage functions. The glycation of LDL, isolated from diabetic animals, was significantly (P<0.05) higher (40%) than that of control animals. The incubation of platelets with glycated LDL enhanced the reactivity of platelets by 32–44% depending on the aggregating agents (thrombin, collagen, ADP). Furthermore, LDL derived from diabetic rats were chemotactic for normal monocytes and stimulated the incorporation of [¹⁴C]oleate into cellular cholesteryl esters. The enhancement of platelet aggregation and cholesterol esterification in monocytes may contribute toward the accelerated development of atherosclerotic cardiovascular disease in diabetic P. obesus animals. This study also illustrates the relevance of studying atherosclerosis in the P. obesus animal model, as it shows an increased tendency to develop dietinduced diabetes, which is associated with cardiovascular disorders.     

Ulcerative colitis and coexisting colorectal cancer: recurrence rate after restorative proctocolectomy

BACKGROUND: The association between mucosal ulcerative colitis (MUC) and adenocarcinoma is well established. METHODS: Records of patients who had undergone restorative proctocolectomy with ileal pouch-anal anastomosis (IPAA) from 1983 through 1992 were examined. Of these, 604 had MUC and 27 (4.3%) had MUC with coexisting cancer. Patients were surveyed annually for recurrent disease. Pouch function and quality of life were evaluated with a questionnaire and physical examination. RESULTS: The duration of disease was longer (p = 0.001) in patients with cancer (16.1 +/- 8.0 years) than in those without cancer (9.1 +/- 7.1 years), although the mean age at diagnosis of MUC was the same. Of the 27 patients, 20 had colon cancer and seven had rectal cancer. Multicentricity was found in seven (25.9%) patients. Using the TNM staging classification, 14 patients (51.8%) had stage 1 cancer, eight (29.6%) had stage 2, four (14.8%) had stage 3, and one (3.8%) had stage 4. The patient with stage 4 cancer died 5 months after surgery and was excluded from the follow-up analysis. During a mean follow-up time of 4.3 +/- 2.6 years, cancer recurred in two of the remaining 26 patients (7.7%). In one patient, a local recurrence was found 8 months after surgery, and distant metastases were found in the other patient 35 months after surgery. Both recurrences were in patients with colon cancer. Two of the 26 patients died; one death was related to cancer recurrence (3.8%). Pouch function is good to excellent in all surviving patients. CONCLUSIONS: Restorative proctocolectomy for patients with MUC and coexisting colorectal cancer can be performed with a favorable prognosis and function. It is appropriate for curative intent, given that an adequate margin without tumor is obtained.     

Understanding the influence of multiple levels of governments on the development of inter-organizational systems

In the arena of international trade, multiple levels of governments (ranging from national to supranational) play an important role in regulating and controlling cross-border trade activities. Recently, they have also become powerful players in influencing decisions about inter-organizational systems (IOS). The influences of these multiple levels of governments on IOS are of an enormous scale and impact on businesses and national economies. Understanding them is a prerequisite for informed actions. From a theoretical point of view we contribute with the MLxMC framework, a conceptual framework, which combines a processual, multi-level approach with the motors of change. We use the MLxMC framework to explicitly highlight the influences of multiple levels of governments on IOS developments that take place in the highly regulated environment of international trade. We demonstrate how the framework can be applied to analyze such developments, extending the existing IOS research with models that explicitly acknowledge the role of government. The framework makes use of multi-level analysis by taking the political and institutional aspects into account. As an analytical tool, the framework can support business practitioners as well as policy-makers in their strategic choices of which level to engage at and with whom to collaborate in order to influence the debate.