Kerala, a humid tropical southern state, is the third largest producer of Tamarind (Tamarindus indica L.) in India. This tree spice is an important livelihood option for the rural society, especially in Palakkad district which is the lead producer of tamarind in the state with a few accepted primitive cultivars, viz. ‘valanpuli’, ‘madhurapuli’ and ‘thenpuli’. A survey was conducted to identify the fruit variability and document the sweet tamarind types of Palakkad. This study revealed the variability and weight of 30 fruits was seen to be the most indicative variable of tamarind in Kerala. The pod length varied from 5.28 to 23.41 cm and fruit weight from 4.83 to 43.40 g. Hierarchical clustering on principal component analysis resulted in six clusters. The clusters I, IV and V represented collections with fruit weight more than 20 g. Box plot diagrams revealed the high real pulp value in sample KTJ 162 (9.57) and high fruit length in KTJ 44 (21.68 cm). Among 113 collections, 18 samples were collected as perceived sweet types based on local enquiry. In the scatter plot between total soluble solids and ratio between total soluble solids and total titrable acidity, two samples were spotted as sweet types with acidity below 8%. Further molecular characterization and systematic crop improvement programmes are required for conserving the eroding gene pool of tamarind in Kerala and to develop sweet types for commercial production.

High-dimensional datasets on cultural characters contribute to uncovering insights about factors that influence cultural evolution. Because cultural variation in part reflects descent processes with a hierarchical structure – including the descent of populations and vertical transmission of cultural traits – methods designed for hierarchically structured data have potential to find applications in the analysis of cultural variation. We adapt a network-based hierarchical clustering method for use in analysing cultural variation. Given a set of entities, the method constructs a similarity network, hierarchically depicting community structure among them. We illustrate the approach using four datasets: pronunciation variation in the US mid-Atlantic region, folklore variation in worldwide cultures, phonemic variation across worldwide languages and temporal variation in first names in the US. In these examples, the method provides insights into processes that affect cultural variation, uncovering geographic and other influences on observed patterns and cultural characters that make important contributions to them.

Recent improvements in robotic arms have increased their interest in many areas such as the industry and biomedical sectors. Path planning is an essential part of the robotic arm, since most automated factories seek to move things from one place to another with obstacles providing the shortest route. This paper presents a novel optimal path planning algorithm based on the 3D cubic Bézier curve with three shape parameters and its geometric properties and hierarchical clustering. The proposed method utilizes a feature vector which is obtained from curvature, torsion, and path length of candidate curves. A hierarchical clustering is applied to determine curve pairs. Then, a multi-objective function is used to determine the best curve pair, which gives the best curve for the robotic arm. Besides forming the optimal 3D cubic Bézier path, the optimal ruled and developable path surfaces are obtained. In addition to presenting theoretical results, this work also demonstrates the proposed method on several Kinova Gen3 robotic arm cases.

A world-wide coconut germplasm collection (79 genotypes) was analyzed for genetic diversity and population structure based on 48 simple sequence repeat (SSR) loci. The genotypes displayed moderately high amount of genetic diversity, which was strongly structured according to geographical origins. Number of SSR alleles ranged from 2 to 7 with an average of 4.1 per locus. Gene diversity (expected heterozygosity) estimates ranged from 0.162 to 0.811 with a mean of 0.573. Polymorphism information content values ranged from 0.149 to 0.785 with an average of 0.522. Hierarchical clustering analysis grouped the genotypes into two major clusters with two sub-groups in each, which corresponded with the geographic origins. The first cluster comprised of ‘Tall’ genotypes originated from Indo-Atlantic and South Asia regions. The second cluster comprised mostly of ‘Dwarf’ genotypes and some Tall genotypes which originated from Indo-Pacific and South-East Asia regions. Model-based clustering by STRUCTURE analysis also supported the presence of clear genetic structuring in the collection with two major populations (K = 2) and four sub-populations (K = 4). The proportion of SSR locus-pairs in linkage disequilibrium was low (2.4%). Association analysis in a subset of 44 genotypes detected a single SSR locus, CnCir73 (chromosome 1) putatively associated with fruit yield component traits, which corresponded with a previously mapped quantitative trait locus in coconut.

The history of asteroid families, from their discovery back in 1918, until the present time, is briefly reviewed. Two threads have been followed: on the development of the theories of asteroid motion and the computation of proper elements, and on the methods of classification themselves. Three distinct periods can be distinguished: the first one until mid-1930s, devoted to discovery and first attempts towards understanding of the properties of families; the second one, until early 1980s, characterized by a growing understanding of their importance as key evidence of the collisional evolution; the third one, characterized by an explosion of work and results, comprises the contemporary era. An assessment is given of the state-of-the-art and possible directions for the future effort, focusing on the dynamical studies, and on improvements of classification methods to cope with ever increasing data set.

We investigated spatio-temporal patterns of fish assemblages in four small coastal rivers in South-East Ivory Coast. The samples were collected between July 2003 and March 2005 at 8 sampling sites (2 per river: 1 upstream and 1 downstream). A total of 59 fish species belonging to 39 genera, 23 families and 11 orders were captured. Perciforms (30% of the families and 33% of the species), followed by Siluriforms (22% and 22%), Osteoglossiforms (13% and 17%), Characiforms (9% and 10%) and Pleuronectiforms (9% and 3%) were the most abundant orders. Among the families sampled, Cichlidae (20% of the species), Mormyridae (13%), Clariidae (10%), Cyprinidae (10%) and Characidae (8%) were largely represented. Among the 59 fish species captured, we identified fifteen marine/brackish species and two introduced species. To analyse patterns of fish assemblages, we used a non-linear clustering technique, the self-organizing map (SOM). Using SOM, samples were classified into 4 clusters, mainly related to the spatial location of the sampling sites. Except for the distance from the source of the river, environmental variables (width, depth, current velocity) did not show a clear distribution gradient on the SOM map. This pattern was explained by the abundance of estuarine/marine species (i.e. 25% of the species) characterizing the lower course of the rivers studied. Such a distribution of estuarine/marine species colonizing the lower and middle course of the rivers was explained by the absence of dams and contrasts with the patterns observed in more fragmented rivers of Ivory Coast. Therefore, we suggest that these small streams should be preserved in order to permit estuarine/marine species to migrate between streams and the Aby lagoon, thus allowing their large distribution and their reproduction in favourable habitats. We suggest particular attention be given to the Soumié River basin which represents the only preserved stream ecosystem within the Bia River basin.

Among several alternative viewpoints for building software quality metrics, evaluating the consistency between different modelsin a software specification or implementation appears to be fruitful.An obvious difficulty is that different models are usually expressedby means of different concepts, and then, confronting heterogeneousrepresentations is not straightforward.In this paper, we propose a solution for measuring theconsistency between the architecture and the communication models.After some sensible transformations, the information about bothmodels are captured trough hierarchical representations. We defineand discuss a similarity measure between hierarchies, that eventuallyfounds the software metric we propose. Lastly, we investigate how toscale and interpret the metric values and give an application examplewith SDL.

Concentrations of a wide range of chemical variables were determined in 206 water samples taken between May 1996 and May 1998 from a set of 25 natural lakes in the French Massif Central. From each lake 6 to 9 samples were collected. Mean and standard deviation of total alkalinity, conductivity, pH, concentrations in K+ , Mg2+ , Ca2+ , Na+ , Cl-, SO2 4 , total phosphorus, nitrate-nitrogen, dissolved silica, chlorophyll a, and water colour were calculated for each lake. These results are briefly compared with those obtained in an earlier study in which chemical analyses were carried out on a reduced set of lakes from the same region. In most lakes and for most elements, concentrations observed in the present study were similar to those observed previously. The seasonal variations of the elements which are most strongly influenced by biological processes were also investigated. Using hierarchical cluster analysis three main lake groups were distinguished : i) alkaline lakes, ii) deep lakes with lowalkalinity and iii) shallow lakes with low alkalinity. The major patterns of variation in the data set were also investigated using principal components analysis (PCA), which confirms that total alkalinity and maximum water depth are the main environmental gradients in this set of lakes. In conclusion, the potential of this data-set for building diatom-based transfer functions to reconstruct past limnological conditions is discussed.