Results 61 to 70 of about 73,832 (268)
Academic Rankings — Where Are They Heading?
The global ranking system is in a state of violent transformation. We can already see the emerging contours of a new ranking system with the four distinguished elements: regional systems, customer-centered systems, multi-league systems, discipline-based ...
Waldemar Siwinski
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Slice rank and partition rank of the determinant
The Laplace expansion expresses the $n \times n$ determinant $\det_n$ as a sum of $n$ products. Do shorter expansions exist? In this paper we: - Fully determine the slice rank decompositions of $\det_n$ (where each product must contain a linear factor): In this case, we show that $n$ summands are necessary, and moreover, the only such expansions with $
Amichai Lampert, Guy Moshkovitz
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Rank-into-rank hypotheses and the failure of GCH [PDF]
In this paper we are concerned about the ways GCH can fail in relation to rank-into-rank hypotheses, i.e., very large cardinals usually denoted by I3, I2, I1 and I0. The main results are a satisfactory analysis of the way the power function can vary on regular cardinals in the presence of rank-into-rank hypotheses and the consistency under I0 of the ...
DIMONTE, Vincenzo, Friedman, Sy David
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ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić +5 more
wiley +1 more source
Adaptive scenario-based multi-criteria approach to assessing investment potential in agribusiness
This paper presents a comparative analysis of SAW, TOPSIS, and GDR multi-criteria aggregation methods, applied to the construction of a synthetic investment attractiveness index (SIAI). The relevance of this study is determined by the need to enhance the
Bernagrt Bella, Popova Elena
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Ranking Learning-to-Rank Methods. [PDF]
We present a cross-benchmark comparison of learning-to-rank methods using two evaluation measures: the Normalized Winning Number and the Ideal Winning Number. Evaluation results of 87 learning-to-rank methods on 20 datasets show that ListNet, SmoothRank, FenchelRank, FSMRank, LRUF and LARF are Pareto optimal learning-to-rank methods, listed in ...
Hiemstra, D., Tax, N., Bockting, S.
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Nonnegative Rank vs. Binary Rank
Motivated by (and using tools from) communication complexity, we investigate the relationship between the following two ranks of a $0$-$1$ matrix: its nonnegative rank and its binary rank (the $\log$ of the latter being the unambiguous nondeterministic communication complexity).
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ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz +7 more
wiley +1 more source
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Objective(s): After two decades of expansion of medical universities and increasing the number of students as one of the most attainable solutions for the problem of substandard status of Iranian community health, recently, quality-based policies in ...
Aeen Mohammadi +2 more
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