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Developing virtual platform for medical students to train their clinical reasoning in emergency settings
Social representations of depression in Helsingin Sanomat news articles in 2002 and 2022
Handling Multiobjective Optimization Problems With Complex Constraints: A Constraints Grouping-Based Approach
Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with complex constraints, such as the vehicle routing problem with time windows, existing multiobjective evolutionary optimization techniques still face significant challenges, particularly when addressing the fragmented and narrow feasible regions that arise from these constraints. Our research introduces a refined framework tailored for complex constrained multiobjective evolutionary optimization. The methodology conducts an initial strong-weak analysis to categorize constraints and merges each strong constraint with all weak constraints to form subsets. Each subset, combined with the original objective functions, defines a subproblem. Independent optimization of the original problem and subproblems is carried out by utilizing multiple populations. Information acquired from the subproblems’ populations is transferred into the population of the original issue, thereby expediting the detection of the feasible region and simplifying the resolution of the original problem. The efficacy of our innovative algorithm, when benchmarked against traditional constrained multiobjective evolutionary algorithms across 72 test functions, has demonstrated superior convergence, diversity, and competitiveness
Using learning analytics to capture self-regulation and the complex temporal dynamics of its correlates
The role of ISO 9001 and ISO 13485 Quality Management System as drivers behind health technology supply chain performance and evolution
"The Most Important Things Are Sweat and a Smile" Coaches' Perceptions of Supporting Children's and Adolescents' Self-Esteem in Organized Sports
Bioavailability and interactions of schisandrin B with 5-fluorouracil in a xenograft mouse model of colorectal cancer
Schisandrin B (Sch B) is a predominant bioactive lignan from the fruit of a Chinese medicine food homology plant, Schisandra chinensis. Previously, we observed potent anti-tumor effect of Sch-B in colorectal cancer (CRC) and enhanced chemotherapy efficacy with fluorouracil (5-FU). However, their bioavailability and reciprocal interactions under CRC conditions are unclear. In this study, we first compared the bioavailability, metabolism and tissue distribution of Sch-B between non-tumor-bearing and xenograft CRC tumor-bearing mice. Next, we examined SchB-5-FU interactions via investigating alterations in drug metabolism and multidrug resistance. Using a validated targeted metabolomics approach, five active metabolites, including Sch-B and fluorodeoxyuridine triphosphate, were found tumor-accumulative. Co-treatment resulted in higher levels of Sch-B and 5-FU metabolites, showing improved phytochemical and drug bioavailability. Multidrug resistance gene (MDR1) was significantly downregulated upon co-treatment. Overall, we demonstrated the potential of Sch-B to serve as a promising chemotherapy adjuvant via improving drug bioavailability and metabolism, and attenuating MDR