25,168 research outputs found
Computer-assisted layout of newspapers
Prepared under a ANPA grant.J. Francis Reintjes, Donald R. Knudson, Hsin-Kuo Kan
On the relative Kuo condition and the second relative Kuo condition
International audienceThe Kuo condition and the second Kuo condition are known as criteria for an r-jet to be V-sufficient in C-r mappings and Cr+1 mappings, respectively. In [2] we considered the notions of V-sufficiency of jets and these Kuo conditions in the relative case to a given closed set Sigma, and showed that the relative Kuo condition is a criterion for a relative r-jet to be Sigma-V-sufficient in C-r mappings and the second relative Kuo condition is a sufficient condition for a relative r-jet to be Sigma-V-sufficient in Cr+1 mappings. In this paper we discuss several conditions equivalent to the relative Kuo condition or the second relative Kuo condition. (c) 2021 Elsevier B.V. All rights reserved
Shell-model calculations and realistic effective interactions
A review is presented of the development and current status of nuclear shell-model calculations, in which the two-body effective interaction between valence nucleons is derived from the free nucleon-nucleon potential. The significant progress made in this field within the last decade is emphasized, in particular as regards the so-called Vlow-k approach to the renormalization of the bare nucleon-nucleon interaction. In the last part of the review, we first give a survey of realistic shell-model calculations from early to present days. Then, we report recent results for neutron-rich nuclei near doubly magic Sn-132, and for the whole even-mass N = 82 isotonic chain. These illustrate how shell-model effective interactions derived from modern nucleon-nucleon potentials are able to provide an accurate description of nuclear structure properties
Diagonal Algorithms for the Longest Common Subsequences Problems with t-length and at Least t-length Substrings
The longest common subsequence problem with t-length substrings (LCSt) and the longest common subsequence problem with at least t-length substrings (LCSt+) are two variants of the longest common subsequences problem (LCS). Some researchers think it may find more meaningful alignment result in bioseqeunces by constraining the continuity of substrings. In this thesis, we propose three algorithms for solving the LCSt problem based on the concept of the diagonal method, with time complexities O(n(m-L)), O(n+l(m-L)+R), and O(n+l(m-L)log n), where m and n denote the lengths of the two input sequences A and B, respectively, and m <= n; l denotes the number of the common t-length substrings in the LCSt answer; L denotes the LCSt length; R is the number of t-match pairs (with t-length substrings) between A and B. We also propose an algorithm for solving the LCSt+ problem in O(n+L(m-L)+R) time. The concept of the diagonal method is to find extendable substrings as far as possible. It is efficient when the two input strings are highly similar. We also present some experimental results to show the efficiencies of our algorithms
The relationship between team communication, structure, and academic R&D performance: empirical evidence of the national telecommunication program in Taiwan
[[abstract]]This research evaluates the frontier National Telecommunication Program (NTP) in Taiwan using the data envelopment analysis approach and analyzes the influence of team communication and structure on R&D performance by establishing a structural equation modeling relationship. The results show that team communication is highly correlated with R&D performance. The high-scored projects have internal communication patterns with a higher meeting frequency but shorter dialogue duration, a uniform distribution of regular meetings, a scheme for the lower hierarchy to meet with the project leader, a well-managed channel to access accumulative expertise, and an open forum for communication. They also have external communication patterns with a gatekeeper bridging inward and outward information, a lower frequency of time-consuming external sourcing, and a higher frequency of external cooperation, referencing, learning, and benchmarking. Though team structure has no significant influence on R&D performance, the high-scored research group focused more on the structural dimensions of research strategy, laboratory management, and motivation incentives. This research will provide effective principles of project management to team leaders and industrial policy guidelines to program sponsors.[[note]]SSC
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