996 resultados para Logic, Modern


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Clinical treatment goals of type 1 diabetes mellitus (T1DM) have changed since the Diabetes Control and Complications Trial (DCCT) demonstrated reduced long-term complications with intensive diabetes therapy. There have been few longitudinal studies to describe the clinical course of T1DM in the age of intensive therapy. Our objective was to describe the current-day clinical course of T1DM.

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While the Gaeltacht (Irish speaking) areas of Ireland are geographically isolated from each other and relatively small in area, it is expected that the number of second language Irish speakers throughout the country should ensure the future of the language. Nevertheless, while the official standard grammar has been established for many decades, there is still a tendency in the spoken language to give precedence to regional dialectal variants in schools and the broadcast media which often raises barriers between native speakers themselves and between learners and native speakers.
All pupils in school in the Republic and many in Northern Ireland learn Irish and there has been a great increase in the number of pupils attending immersion Irish language Gaelscoileanna. But concern has been expressed about the phonetic and structural accuracy achieved in schools, all of which contributes to communication breakdown.
This paper discusses how a greater awareness of the link between phoneme and grapheme in Irish and the proposals for the Lárchanúint (Central Dialect) in the 1980s and current discussions on Caighdeán Leathan agus Caighdeán Cúng (Broad and Narrow Standard) would mitigate these concerns.

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Several logic gates and switches can be accessed from two different combinations of a single set of fluorophore, receptor and spacer components.

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Published as part of a special edition on working-class writers, this article explores the work of Paula Meehan, Martin Lynch and Dermot Bolger.

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Structural and functional information encoded in DNA combined with unique properties of nanomaterials could be of use for the construction of novel biocomputational circuits and intelligent biomedical nanodevices. However, at present their practical applications are still limited by either low reproducibility of fabrication, modest sensitivity, or complicated handling procedures. Here, we demonstrate the construction of label-free and switchable molecular logic gates that use specific conformation modulation of a guanine- and thymine- rich DNA, while the optical readout is enabled by the tunable alphabetical metamaterials, which serve as a substrate for surface enhanced Raman spectroscopy (MetaSERS). By computational and experimental investigations, we present a comprehensive solution to tailor the plasmonic responses of MetaSERS with respect to the metamaterial geometry, excitation energy, and polarization. Our tunable MetaSERS-based DNA logic is simple to operate, highly reproducible, and can be stimulated by ultra-low concentration of the external inputs, enabling an extremely sensitive detection of mercury ions.

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The timing and sequencing of fertility transitions and early-life mortality declines in historical Western societies indicate that reductions in sibship (number of siblings) may have contributed to improvements in infant health. Surprisingly, however, this demographic relationship has received little attention in empirical research. We outline the difficulties associated with establishing the effect of sibship on infant mortality and discuss the inherent bias associated with conventional empirical approaches. We offer a solution that permits an empirical test of this relationship while accounting for reverse causality and potential omitted variable bias. Our approach is illustrated by evaluating the causal impact of family size on infant mortality using genealogical data from 13 German parishes spanning the sixteenth, seventeenth, eighteenth, and nineteenth centuries. Overall, our findings do not support the hypothesis that declining fertility led to increased infant survival probabilities in historical populations.

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The entanglement of identity and personal attire in colonial settings is explored through consideration of a tattered set of clothes from late sixteenth-early seventeenth-century Ireland incorporating elements of Irish, English, and Scots fashion. Reconsideration of the clothing, recovered from a bog, provides a rare opportunity to explore the physical manifestations of processes of hybridity and mimesis, as well as the pragmatic accommodations of impoverishment and displacement in colonial settings. In addition to considering the role of material culture in colonial identity formation and negotiation, examination of what has become known as the Dungiven costume also speaks to the ongoing legacy of early modern colonial encounters, as the cultural associations of the garments, and by extension their past wearer(s), continue to be subjected to the politically charged nature of identity politics in contemporary Northern Ireland.

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Currently there is extensive theoretical work on inconsistencies in logic-based systems. Recently, algorithms for identifying inconsistent clauses in a single conjunctive formula have demonstrated that practical application of this work is possible. However, these algorithms have not been extended for full knowledge base systems and have not been applied to real-world knowledge. To address these issues, we propose a new algorithm for finding the inconsistencies in a knowledge base using existing algorithms for finding inconsistent clauses in a formula. An implementation of this algorithm is then presented as an automated tool for finding inconsistencies in a knowledge base and measuring the inconsistency of formulae. Finally, we look at a case study of a network security rule set for exploit detection (QRadar) and suggest how these automated tools can be applied.

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Abstract—Power capping is an essential function for efficient power budgeting and cost management on modern server systems. Contemporary server processors operate under power caps by using dynamic voltage and frequency scaling (DVFS). However, these processors are often deployed in non-uniform memory
access (NUMA) architectures, where thread allocation between cores may significantly affect performance and power consumption. This paper proposes a method which maximizes performance under power caps on NUMA systems by dynamically optimizing two knobs: DVFS and thread allocation. The method selects the optimal combination of the two knobs with models based on artificial neural network (ANN) that captures the nonlinear effect of thread allocation on performance. We implement
the proposed method as a runtime system and evaluate it with twelve multithreaded benchmarks on a real AMD Opteron based NUMA system. The evaluation results show that our method outperforms a naive technique optimizing only DVFS by up to
67.1%, under a power cap.