A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning

The behaviour of an optimization algorithm when attempting to solve a problem depends on the values assigned to its control parameters. For an algorithm to obtain desirable performance, its control parameter values must be chosen based on the current problem. Despite being necessary for optimal performance, selecting appropriate control parameter values is time-consuming, computationally expensive, and challenging. As the quantity of control parameters increases, so does the time complexity associated with searching for practical values, which often overshadows addressing the problem at hand, limiting the efficiency of an algorithm. As primarily recognized by the no free lunch theorem, there is no one-size-fits-all to problem-solving; hence from understanding a problem, a tailored approach can substantially help solve it. To predict the performance of control parameter configurations in unseen environments, this thesis crafts an intelligent generalizable framework leveraging machine learning classification and quantitative characteristics about the problem in question. The proposed parameter performance classifier (PPC) framework is extensively explored by training 84 high-accuracy classifiers comprised of multiple sampling methods, fitness types, and binning strategies. Furthermore, the novel framework is utilized in constructing a new parameter-free particle swarm optimization (PSO) variant called PPC-PSO that effectively eliminates the computational cost of parameter tuning, yields competitive performance amongst other leading methodologies across 99 benchmark functions, and is highly accessible to researchers and practitioners. The success of PPC-PSO shows excellent promise for the applicability of the PPC framework in making many more robust parameter-free meta-heuristic algorithms in the future with incredible generalization capabilities

Use of the Functional Movement Screening in Division III Collegiate Athletics

The Functional Movement Screen (FMS) aims to expose movement limitations and asymmetries by screening an individual on seven different fundamental movement patterns. Limited research has been conducted using individual FMS test scores comparatively to composite scores. The purpose of this study was to examine the effects of a corrective exercise program on improving individual FMS scores for a collegiate basketball team. Thirteen healthy, male student athletes from an NCAA Division III men’s basketball team performed all seven FMS movements. The team was randomly divided into control and treatment groups. The control group followed their typical pre-practice dynamic warm-up four days per week for four weeks, while the treatment group performed a specific warm-up geared towards improving FMS for four days per week for four weeks. The athletes performed the complete FMS following the completion of the training program. The specific corrective exercise training program did not significantly change FMS movements

Movement Capability Changes in Collegiate Basketball Players Following a Corrective Exercise Program

While much data is available regarding Functional Movement Screen (FMS) scores in corrective exercise programs and injury prevention, limited data exists regarding comparisons between movement patterns in various sports. The purpose of this study was to review FMS scores to find any mobility and stability differences between several NCAA Division III sports. In this study, 83 healthy student-athletes, from four different sports teams, performed a battery of tests to measure physical capabilities prior to the beginning of their competitive season. All participating student-athletes performed the FMS, which is a tool used to gauge fundamental movement patterns including range of motion, stability, and balance, to measure movement asymmetries and limitations

Performance measurement and management at the operational level

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Integrated performance measurement systems : a development guide

The performance management process is seen as a closed loop control system which deploys policy and strategy, and obtains feedback from various levels in order to manage the performance of the business. The performance measurement system is the information system which is at the heart of the performance management process and it is of critical importance to the effective and efficient functioning of the performance management system. Research identifies two critical elements with respect to the content and structure of the performance measurement system. These are: integrity and deployment. The viable systems model (VSM) provides a framework for assessing the integrity of the performance measurement system. The reference model developed for integrated performance measurement systems provides a framework against which performance measurement systems can be designed and audited

Allosteric Regulation of Oligomerization by a B12 Trafficking G-Protein Is Corrupted in Methylmalonic Aciduria

Allosteric regulation of methylmalonyl-CoA mutase (MCM) by the G-protein chaperone CblA is transduced via three "switch" elements that gate the movement of the B12 cofactor to and from MCM. Mutations in CblA and MCM cause hereditary methylmalonic aciduria. Unlike the bacterial orthologs used previously to model disease-causing mutations, human MCM and CblA exhibit a complex pattern of regulation that involves interconverting oligomers, which are differentially sensitive to the presence of GTP versus GDP. Patient mutations in the switch III region of CblA perturb the nucleotide-sensitive distribution of the oligomeric complexes with MCM, leading to loss of regulated movement of B12 to and/or from MCM and explain the molecular mechanism of the resulting disease

Zinc-binding to the cytoplasmic PAS domain regulates the essential WalK histidine kinase of Staphylococcus aureus

WalKR (YycFG) is the only essential two-component regulator in the human pathogen Staphylococcus aureus. WalKR regulates peptidoglycan synthesis, but this function alone does not explain its essentiality. Here, to further understand WalKR function, we investigate a suppressor mutant that arose when WalKR activity was impaired; a histidine to tyrosine substitution (H271Y) in the cytoplasmic Per-Arnt-Sim (PAS) domain of the histidine kinase WalK. Introducing the WalK mutation into wild-type S. aureus activates the WalKR regulon. Structural analyses of the WalK PAS domain reveal a metal-binding site, in which a zinc ion (Zn) is tetrahedrally-coordinated by four amino acids including H271. The WalK mutation abrogates metal binding, increasing WalK kinase activity and WalR phosphorylation. Thus, Zn-binding negatively regulates WalKR. Promoter-reporter experiments using S. aureus confirm Zn sensing by this system. Identification of a metal ligand recognized by the WalKR system broadens our understanding of this critical S. aureus regulon

Next‐generation phylogeography resolves post‐glacial colonization patterns in a widespread carnivore, the red fox ( Vulpes vulpes ), in Europe

Carnivores tend to exhibit a lack of (or less pronounced) genetic structure at continental scales in both a geographic and temporal sense and this can confound the identification of post-glacial colonization patterns in this group. In this study we used genome-wide data (using genotyping by sequencing [GBS]) to reconstruct the phylogeographic history of a widespread carnivore, the red fox (Vulpes vulpes), by investigating broad-scale patterns of genomic variation, differentiation and admixture amongst contemporary populations in Europe. Using 15,003 single nucleotide polymorphisms (SNPs) from 524 individuals allowed us to identify the importance of refugial regions for the red fox in terms of endemism (e.g., Iberia). In addition, we tested multiple post-glacial recolonization scenarios of previously glaciated regions during the Last Glacial Maximum using an Approximate Bayesian Computation (ABC) approach that were unresolved from previous studies. This allowed us to identify the role of admixture from multiple source population post-Younger Dryas in the case of Scandinavia and ancient land-bridges in the colonization of the British Isles. A natural colonization of Ireland was deemed more likely than an ancient human-mediated introduction as has previously been proposed and potentially points to a larger mammalian community on the island in the early post-glacial period. Using genome-wide data has allowed us to tease apart broad-scale patterns of structure and diversity in a widespread carnivore in Europe that was not evident from using more limited marker sets and provides a foundation for next-generation phylogeographic studies in other non-model species.info:eu-repo/semantics/acceptedVersio

Next-generation phylogeography resolves post-glacial colonization patterns in a widespread carnivore, the red fox (Vulpes vulpes), in Europe

Carnivores tend to exhibit a lack of (or less pronounced) genetic structure at continental scales in both a geographic and temporal sense using various mitochondrial DNA markers on modern and/or ancient specimens. This tends to confound the identification of refugial areas and post-glacial colonization patterns in this group. In this study we used Genotyping-by-Sequencing (GBS) to reconstruct the phylogeographic history of a widespread carnivore, the red fox (Vulpes vulpes), in Europe by investigating broad-scale patterns of genomic variation, differentiation and admixture amongst contemporary populations. Using 15,003 single nucleotide polymorphisms (SNPs) from 524 individuals allowed us to identify the importance of refugial regions for the red fox in terms of endemism (e.g. Iberia) and sources of post-glacial re-expansion (e.g. Carpathians and Balkans) across northern regions of the continent. In addition, we tested multiple post-glacial re-colonization scenarios of previously glaciated regions during the Last Glacial Maximum using an Approximate Bayesian Computation (ABC) approach. We identified the role of ancient and temporary land-bridges in the colonization of Scandinavia and the British Isles, with a natural colonization of Ireland deemed more likely than an ancient human-mediated introduction as has previously been proposed. Using genome-wide data has allowed us to tease apart broad-scale patterns of structure and diversity in a widespread carnivore in Europe that was not always evident from using more limited marker sets