Web site optimization using page popularity

Awkward arrangement of documents in an HTML tree can discourage users from staying at a Web site. The authors have developed an algorithm for dynamically altering the organization of pages at sites where the main design objective is to give users fast access to requested data. The algorithm reads information from the HTTP log file and computes the relative popularity of pages within the site. Based on popularity (defined as a relationship between number of accesses, time spent, and location of the page), the hierarchical relationships between pages are rearranged to maximize accessibility for popular pages     

Quantitative analysis of multilayer switching networks providing multiple internal routes

Constructing capable and scalable parallel computers or connecting contemporary networks efficiently makes multistage switching networks essential and significant devices. This is why they remain an interesting field of research and are being continually improved. This paper introduces a new idea—a new architecture—to ameliorate the behaviour of the networks' connection points. The proposed novel construction accommodates multiple internal paths and a fan‐out at the end. Via this study, basic features of this introduced fabric (such as cost, reliability, and performance measures) are presented in a quantitative manner. Moreover, some comparisons—especially in terms of complexity, cost, and reliability—with other similar modern constructions that also enclose multiple internal routes are shown. This study reveals that the proposed multistage system improves performance metrics, fault tolerance, and reliability and indicates that due to its properties, this innovative device can be used in the commercial sector.     

Finite element optimal design of transverse web frames

The objective of this paper is to propose an intergrated computerized method aimed at the structural design of web frames subjected to symmetrical loading.The design problem is approached by a three phase procedure employing the finite element method as an analysis strategy and mathematical programming techniques for the synthesis phase.The change of boundary conditions during the optimization is accounted for by an approximate method.     

Nitrate Esters of Heteroaromatic Compounds as Candida albicans CYP51 Enzyme Inhibitors

Four heteroaromatic compounds bearing nitrate esters were selected using a virtual‐screening procedure as putative sterol 14α‐demethylase (CYP51) Candida albicans inhibitors. Compounds were examined for their inhibition on C. albicans growth and biofilm formation as well as for their toxicity. NMR spectroscopy studies, in silico docking, and molecular dynamics simulations were used to investigate further the selectivity of these compounds to fungal CYP51. All compounds exhibited good antimicrobial properties, indicated with low minimal inhibitory concentrations and ability to inhibit formation of fungal biofilm. Moreover, all of the compounds had the ability to inhibit growth of C. albicans cells. N‐(2‐Nitrooxyethyl)‐1Η‐indole‐2‐carboxamide was the only compound with selectivity on C. albicans CYP51 that did not exhibit cytotoxic effect on cells isolated from liver and should be further investigated for selective application in new leads for the treatment of candidiasis.     

exploratory DSP - Wavelet-Based Approximation Techniques in Database Systems

Several recent studies have demonstrated the effectiveness of the wavelet transform as a tool for approximate query processing over massive relational tables and continuous data streams. The idea is to apply wavelet transform to the input relation to obtain a compact data synopsis that comprises a select small collection of wavelet coefficients. The excellent energy compaction and decorrelation properties of the wavelet transform allow for concise and effective approximate representations that exploit the structure of the data. Furthermore, wavelet transforms can generally be computed in linear time, thus allowing for very efficient algorithms. This paper provides a brief overview of recent work and results on wavelet-based approximation techniques for relational database systems     

Anomalous cerebral structure in dyslexia revealed with magnetic resonance imaging

OBJECTIVE: To develop quantitative methods for identifying cerebral anomalies on magnetic resonance images of subjects with language disorders and other learning disabilities. DESIGN: Partially blinded comparison of subjects with dyslexia, unaffected relatives, and a control group balanced for age and socioeconomic status. Criterion standard: clinical diagnosis of dyslexia by physician or learning disabilities specialist on the basis of clinical assessment and family history. SETTINGS: Hospital pediatric neurology clinic and private reading clinic. PATIENTS AND OTHER PARTICIPANTS: Volunteers: individuals with dyslexia (seven male and two female, aged 15 to 65 years) from professional families; unaffected first- and second-degree relatives (four male and six female, aged 6 to 63 years) available in the geographical area; and controls (five male and seven female, aged 14 to 52 years). INTERVENTIONS: Gradient echo three-dimensional scan in Seimens 1-Tesla Magnetom; 128 1.25-mm consecutive sagittal images. MAIN OUTCOME MEASURES: (1) Average length of the temporal (T) and parietal (P) banks of the planum temporale; (2) interhemispheric coefficients of asymmetry for T and P banks: Left-Right interhemispheric coefficients of asymmetry = (L-R)/[(L+R)/2]; (3) intrahemispheric coefficients of asymmetry = (T-P)/[(T+P)/2]; and (4) qualitative assessment of gyral variants in the parietotemporal operculum. RESULTS: All groups had left-sided asymmetry for the temporal bank and right-sided asymmetry for the parietal bank. The group with dyslexia had exaggerated asymmetries, owing to a significant shift of right planar tissue from the temporal to parietal bank. They also had a higher incidence of cerebral anomalies bilaterally (subjects with dyslexia, six of nine; relatives, two of 10; and controls, zero of 12). CONCLUSIONS: Quantitative assessment of high-resolution magnetic resonance images can reveal functionally relevant variations and anomalies in cerebral structure. Further refinement of these measurement techniques should improve the diagnosis, classification, and treatment of language disorders and other learning disabilities.