1,804,626 research outputs found
Some Upper Bounds for the Product p₁p₂ · · · pn
In this note, using refined Mandl’s inequality, Robin’s inequality
and a refinement of the AGM inequality, we find some upper bounds for the
product p₁p₂ · · · pn
Pn- Par simulation equation and Pn, LSP, LCP values of different lines before and 8 d after stress.
Pn- Par simulation equation and Pn, LSP, LCP values of different lines before and 8 d after stress.</p
Pn- Ca simulation equation and Pn, CSP, CCP values of different lines before and 8 d after stress.
Pn- Ca simulation equation and Pn, CSP, CCP values of different lines before and 8 d after stress.</p
Deep df-pn and Its Efficient Implementations
Depth-first proof-number search (df-pn) is a powerful variant of proof-number search algorithms, widely used for AND/OR tree search or solving games. However, df-pn suffers from the seesaw effect, which strongly hampers the efficiency in some situations. This paper proposes a new proof number algorithm called Deep depth-first proof-number search (Deep df-pn) to reduce the seesaw effect in df-pn. The difference between Deep df-pn and df-pn lies in the proof number or disproof number of unsolved nodes. It is 1 in df-pn, while it is a function of depth with two parameters in Deep df-pn. By adjusting the value of the parameters, Deep df-pn changes its behavior from searching broadly to searching deeply. The paper shows that the adjustment is able to reduce the seesaw effect convincingly. For evaluating the performance of Deep df-pn in the domain of Connect6, we implemented a relevance-zone-oriented Deep df-pn that worked quite efficiently. The experimental results indicate that improving efficiency by the same adjustment technique is also possible in other domains.15th International Conferences, ACG 2017, Leiden, The Netherlands, July 3–5, 2017, Revised Selected Paper
Three-level-PN-cell-for-multilevel-converters
Simulation files for a three-level PN converter cell including average model, model validation and various example applications. </div
PN-Containing Pyrene Derivatives: Synthesis, Structure, and Photophysical Properties
A straightforward
method for the preparation of non-K region fused
phosphorus- and nitrogen-containing (PN)-heterocyclic pyrenes has
been accomplished. Their structural, photophysical, and electrochemical
properties have been fully investigated. The described compounds exhibit
intriguing redox properties and show strong photoluminescence with
a wide range of tunable emission colors, with λem ranging from blue at 459 nm to red at 622 nm in CH2Cl2 solution
PN-QRS: An Uncertainty-aware QRS-complex Detection Method for Wearable ECGs
Long-term wearable ECG monitoring has increased the influence of ambiguous factors on QRS-complex detection. Reliable ECG information must be extracted from abundant noises and confusing artifacts. To address this issue, we suggest a positive-negative QRS-complex detector (PN-QRS), a QRS-complex detection model that accounts for uncertainty. Specifically, we relate non-ECG screening and artifact recognition to epistemic and aleatoric uncertainty, respectively. To disentangle the two uncertainties, we introduce the class-biased transformation based on the uniqueness of this problem. The performance of artifact and non-ECG detection and multi-lead QRS-complex localization is then validated. The results indicate that PN-QRS reduces ECG error detection rate by 22.24% and improves non-ECG screening accuracy by 5.9% compared to conventional signal quality assessment methods. And for identification of ambiguous beats, PN-QRS achieves a F1 score of 82.41% in a manually annotated ambiguous ECG dataset, while maintaining high precision for QRS-complex detection (99.38% F1 score). Above all, for multi-lead QRS-complex location, PN-QRS is approaching the performance upper bound through integrating the frame-level results on the lead with the minimum uncertainty. Our work suggests that the proposed PN-QRS has the potential to be employed as a QRS-complex detector in wearable ECG monitoring, with the capacity to remove invalid non-ECG episodes and identify QRS-like artifacts simultaneously.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Kabinet bayangan PN bukti politik negara semakin matang
KUALA LUMPUR: Politik negara dilihat semakin matang dengan penubuhan Kabinet bayangan oleh Perikatan Nasional (PN)
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