RADIAL CLUSTER SET AND INTERPOLATION

Let X={Xi,i≥1} be a sequence of real valued random variables, S0=0 and Sk=∑i=1kXi (k≥1). Let σ={σ(x),x∈Z} be a sequence of real valued random variables which are independent of X’s. Denote by Kn=∑k=0nσ(⌊Sk⌋) (n≥0) Kesten-Spitzer random walk in random scenery, where ⌊a⌋ means the unique integer satisfying ⌊a⌋≤a<⌊a⌋+1. It is assumed that σ’s belong to the domain of attraction of a stable law with index 0<β<2. In this paper, by employing conditional argument, we investigate large deviation inequalities, some sufficient conditions for Chover-type laws of the iterated logarithm and the cluster set for random walk in random scenery Kn. The obtained results supplement to some corresponding results in the literature.

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An Efficient Method of Key-Frame Extraction Based on a Cluster Algorithm

Journal of Human Kinetics ◽

10.2478/hukin-2013-0064 ◽

2013 ◽

Vol 39 (1) ◽

pp. 15-23 ◽

Cited By ~ 7

Author(s):

Gavin L. Moir ◽

Bruce W. Graham ◽

Shala E. Davis ◽

John J. Guers ◽

Chad A. Witmer

Keyword(s):

Mechanical Characteristics ◽

Physiological Mechanisms ◽

Repetition Maximum ◽

Key Frame ◽

Concentric Force ◽

Cluster Set ◽

Rest Periods ◽

Cluster Sets ◽

Stretch Shortening Cycle ◽

Analysis System

Abstract The purpose of the present study was to investigate the effects of different configurations of repetitions within a set of deadlifts on the mechanical variables of concentric force, concentric time under tension, impulse, work, power, and fatigue. Eleven resistance trained men (age: 21.9 ± 1.0 years; deadlift 1 repetition maximum: 183.2 ± 38.3 kg) performed four repetitions of the deadlift exercise with a load equivalent to 90% of 1 repetition maximum under three different set configurations: Traditional (continuous repetitions); Doubles cluster (repetitions 1 and 2, and 3 and 4 performed continuously with a 30 s rest inserted between repetitions 2 and 3); Singles cluster (30 s rest provided between repetitions). The order of the sessions was counterbalanced across the subjects and the mechanical variables were calculated during each repetition from the synchronized signals recorded from force platforms and a motion analysis system. Relative to the Traditional set, the insertion of rest periods in the cluster set configurations resulted in greater time under tension (p < 0.001) and therefore, greater impulse (p < 0.001) during the repetitions. Reductions in power were observed during the cluster sets compared to the Traditional set (p = 0.001). The Doubles cluster set resulted in greater fatigue scores for power compared to the Traditional set (p = 0.04). The influence of cluster sets on mechanical variables appears to be mediated by the mechanical characteristics of the exercise (i.e. stretch-shortening cycle) and the competing physiological mechanisms of fatigue and potentiation.

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A Computational Strategy for Protein Function Assignment which Addresses the Multidomain Problem

Comparative and Functional Genomics ◽

10.1002/cfg.208 ◽

2002 ◽

Vol 3 (5) ◽

pp. 423-440 ◽

Cited By ~ 6

Author(s):

A. J. Pérez ◽

A. Rodríguez ◽

O. Trelles ◽

G. Thode

Keyword(s):

Protein Function ◽

Sequence Similarity ◽

Protein Database ◽

Specific Sequence ◽

Functional Annotations ◽

Cluster Set ◽

Sequence Position ◽

Computational Strategy ◽

Function Assignment

A method for assigning functions to unknown sequences based on finding correlations between short signals and functional annotations in a protein database is presented. This approach is based on keyword (KW) and feature (FT) information stored in the SWISS-PROT database. The former refers to particular protein characteristics and the latter locates these characteristics at a specific sequence position. In this way, a certain keyword is only assigned to a sequence if sequence similarity is found in the position described by the FT field. Exhaustive tests performed over sequences with homologues (cluster set) and without homologues (singleton set) in the database show that assigning functions is much ’cleaner’ when information about domains (FT field) is used, than when only the keywords are used.

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dbVar structural variant cluster set for data analysis and variant comparison

F1000Research ◽

10.12688/f1000research.8290.1 ◽

2016 ◽

Vol 5 ◽

pp. 673 ◽

Cited By ~ 10

Author(s):

Lon Phan ◽

Jeffrey Hsu ◽

Le Quang Minh Tri ◽

Michaela Willi ◽

Tamer Mansour ◽

...

Keyword(s):

Genomic Sequence ◽

Chromosomal Rearrangements ◽

Copy Number Variations ◽

Structural Variant ◽

Variant Type ◽

External Data ◽

Cluster Set ◽

Genomic Location ◽

Complex Chromosomal Rearrangements ◽

Genomic Regions

dbVar houses over 3 million submitted structural variants (SSV) from 120 human studies including copy number variations (CNV), insertions, deletions, inversions, translocations, and complex chromosomal rearrangements. Users can submit multiple SSVs to dbVAR that are presumably identical, but were ascertained by different platforms and samples, to calculate whether the variant is rare or common in the population and allow for cross validation. However, because SSV genomic location reporting can vary – including fuzzy locations where the start and/or end points are not precisely known – analysis, comparison, annotation, and reporting of SSVs across studies can be difficult. This project was initiated by the Structural Variant Comparison Group for the purpose of generating a non-redundant set of genomic regions defined by counts of concordance for all human SSVs placed on RefSeq assembly GRCh38 (RefSeq accession GCF_000001405.26). We intend that the availability of these regions, called structural variant clusters (SVCs), will facilitate the analysis, annotation, and exchange of SV data and allow for simplified display in genomic sequence viewers for improved variant interpretation. Sets of SVCs were generated by variant type for each of the 120 studies as well as for a combined set across all studies. Starting from 3.64 million SSVs, 2.5 million and 3.4 million non-redundant SVCs with count >=1 were generated by variant type for each study and across all studies, respectively. In addition, we have developed utilities for annotating, searching, and filtering SVC data in GVF format for computing summary statistics, exporting data for genomic viewers, and annotating the SVC using external data sources.

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Study Protocol: A Hybrid Delivery of Home-Based Cluster Set Resistance Training for Individuals Previously Treated for Lung Cancer

10.21203/rs.3.rs-907846/v1 ◽

2021 ◽

Author(s):

Ciaran M Fairman ◽

Otis L Owens ◽

Kristina L Kendall ◽

James Steele ◽

C Latella ◽

...

Keyword(s):

Quality Of Life ◽

Lung Cancer ◽

Resistance Training ◽

Physical Function ◽

Physical Decline ◽

Hybrid Delivery ◽

Cluster Set ◽

Home Based ◽

Cluster Sets

Abstract Background: Symptom burden remains a critical concern for individuals with non-small cell lung cancer (NSCLC) following the completion of treatment. The most common symptom clusters, dyspnea (shortness of breath) and fatigue,can contribute to physical decline, reductions in quality of life, and a higher risk of comorbidities and mortality. Dyspnea is a primary limiter of exercise capacity in individuals with lung cancer, resulting in exercise avoidance and an accelerated physical decline. As such, designing resistance training with cluster sets to mitigate symptoms of dyspnea and fatigue may result in improved exercise tolerance. Thus, maintainingthe exercise stimulus via cluster sets, combined with improved tolerance of the exercise, could result in maintenance of physical function and quality of life. The purpose of this study is to investigate the feasibility and preliminary efficacy of a hybrid-delivery home-based cluster-set resistance training program in individuals with NSCLC. Methods: Individuals with NSCLC (n=15), within 12-months of completion of treatment will be recruited to participate in this single arm feasibility trial. Participants will complete 8-weeks of home-based resistance training designed to minimizedyspnea and fatigue. The hybrid-delivery of the program will include supervised sessions in the participants’ home, and virtual supervision via video conferencing. The primary outcome of feasibility will be quantifiedby recruitment rates, retention, acceptability, and intervention fidelity. Exploratory outcomes (dyspnea, fatigue, quality of life, physical function, and body composition) will be assessed pre- and post- intervention. Discussion: This study will provide important data on the feasibility of delivering this intervention and inform procedures for a future randomized controlled trial. Trial Registration: Record not yet public

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Interspecific Hybridization in Hazelnut (Corylus)

Journal of the American Society for Horticultural Science ◽

10.21273/jashs.125.4.489 ◽

2000 ◽

Vol 125 (4) ◽

pp. 489-497 ◽

Cited By ~ 22

Author(s):

Veli Erdogan ◽

Shawn A. Mehlenbacher

Keyword(s):

Seed Germination ◽

Seedling Survival ◽

Genetic Relationships ◽

Female Parent ◽

Interspecific Crosses ◽

Shrub Species ◽

Cluster Set ◽

Reciprocal Differences ◽

Hybrid Seedling ◽

Bridge Species

Eight Corylus L. (hazelnut) species were intercrossed in all possible combinations to reveal genetic relationships. Pollinations were made on either individually bagged branches or trees covered entirely with polyethylene using mixtures of pollen of five genotypes to minimize low cluster set due to single incompatible combinations. Percent cluster set, seed germination, and hybrid seedling survival were determined. Hybridity of seedlings was verified by inspection of morphological traits. Based on percent cluster set, seed germination, and hybrid seedling survival along with observed morphological similarities, Corylus species were placed in three groups: 1) the tree hazels C. colurna L. (turkish tree hazel) and C. chinensis Franchet (chinese tree hazel), 2) the bristle-husked shrub species C. cornuta Marshall (beaked hazel), C. californica (A.DC.) Rose (california hazel), and C. sieboldiana Blume (manchurian hazel), and 3) the leafy-husked shrub species C. avellana L. (european hazel), C. americana Marshall (american hazel), C. heterophylla Fischer (siberian hazel), and C. heterophylla Fischer var. sutchuensis Franchet (sichuan hazel). The two tree hazel species crossed with each other readily, as did the three bristle-husked shrub species. The frequency of blanks was low (<20%) for crosses of the tree hazels, and <50% for interspecific crosses within the group of bristle-husked species. The leafy-husked shrub species could be crossed with each other in all directions, although cluster set on C. heterophylla was low. For crosses of species belonging to different groups, set was generally low and the frequency of blanks high. Nevertheless, a few hybrid seedlings were obtained from several combinations. When used as the female parent, C. californica set nuts when crossed with all other species, indicating possible value as a bridge species. Crosses involving C. avellana were more successful when it was the pollen parent. In crosses with C. avellana pollen, cluster set on C. chinensis was better than on C. colurna and the frequency of blanks was much lower, indicating that it might be easier to transfer nonsuckering growth habit from C. chinensis than from C. colurna. Reciprocal differences in the success of crosses was observed. The following crosses were successful C. californica × C. avellana, C. chinensis × C. avellana, C americana × C. heterophylla, C. cornuta × C heterophylla, C. californica × C. colurna, and C. americana × C. sieboldiana, but the reciprocals were not.

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