The aim of the present study was to determine whether under-reporting rates vary between dietary pattern clusters. Subjects were sixty-five Brazilian women. During 3 weeks, anthropometric data were collected, total energy expenditure (TEE) was determined by the doubly labelled water method and diet was measured. Energy intake (EI) and the daily frequency of consumption per 1000 kJ of twenty-two...

Data aggregation protocols are implemented in resource constrained wireless sensor networks to eliminate redundant data transmission for improving bandwidth utilization and energyefficiency of sensor nodes. This paper presents a secure differential data aggregation (SDDA) protocol for wireless cluster-based sensor networks. SDDA prevents redundant data transmission from sensor nodes to cluster-...

seed protein profiles of 47 accessions belonging to eleven species and four tribes of grain legumes were studied, by extracting the total proteins from ten single seeds in each accession and performing sds-polyacrylamide gel electrophoresis. all eleven species were clearly recognizable from their protein banding patterns, but only phaseolus vulgaris expressed high intraspecific variations, ...

In this paper, we propose CPHC, a semi-supervised classification algorithm that uses a pattern-based cluster hierarchy as a direct means for classification. All training and test instances are first clustered together using an instance-driven pattern-based hierarchical clustering algorithm that allows each instance to "vote" for its representative size-2 patterns in a way that balances local pa...

OBJECTIVE To determine the main dietary patterns of pregnant women during each of the three trimesters of pregnancy and to examine associated nutrient intakes. DESIGN Participants completed a 3 d food diary during each trimester of pregnancy. Thirty-six food groups were created and dietary patterns were derived using k-means cluster analysis. SETTING National Maternity Hospital, Dublin, Ire...

In September 2015, PulseNet, the national molecular subtyping network for foodborne disease surveillance, identified a cluster of Listeria monocytogenes (Listeria) clinical isolates indistinguishable by two-enzyme pulsed-field gel electrophoresis (PFGE) pattern combination and highly related by whole-genome multilocus sequence typing (wgMLST). A case was defined as isolation of Listeria with th...

This study introduces an automatic classification of kinetic patterns on dynamic contrast-enhanced (DCE) breast MR images. We performed k-means cluster analysis technique from real world tumor cases into a reasonable number of reference pattern set that is representative of each cluster. This technique, then, classifies the tumor specific patterns from the given MRI data by measuring vector dis...

We propose discrimination methods that classify cluster of traffic behaviour of flash crowds and DDoS attacks such as traffic pattern and characteristics and check cluster randomness. The behavior-based clustering consolidates packet into clusters based on similarity of observed behavior, e.g., source IPs are clustered together based on their pattern of destination port usage. The main objectiv...

the aim of this research work is to study the impact of teaching the verbal communication pattern based on the holy quranic verses on the reduction of mother-daughter conflicts. three experimental groups (mothers, daughters and mothers-daughters) and one control group were selected from isfahan, iran using the cluster sampling method. the murray a. straus conflict tactics scale was utilized to ...

A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent patterns with a tightness measure δ (called δ-cluster), and select a representative pattern for each cluster. The problem of finding a minimum set of representative patterns is shown NP-Hard. We develop two greedy methods, RPglobal and RPlocal. ...