The in vitro antibacterial activity of DQ-2556, a new semisynthetic cephalosporin, was compared with that of ceftazidime and cefotaxime. The activity of DQ-2556 against members of the family Enterobacteriaceae was roughly comparable to that of cefotaxime. Against Pseudomonas aeruginosa, DQ-2556 was slightly less active than ceftazidime. DQ-2556 was more active than the reference cephalosporins ...

HLA-DQ is strongly associated with genetic predisposition to type 1 diabetes. It is assumed that HLA-DQ molecules exert their effects on the disease via the presentation of peptides from islet autoantigens to CD4(+) T-cells, but little information regarding HLA-DQ-restricted, islet antigen-specific, autoreactive T-cells is available. To investigate the role of HLA-DQ in the immune response to i...

The bivariate big q-Jacobi polynomials are defined by [3] Pn,k(x, y; a, b, c, d; q) := Pn−k(y; a, bcq , dq; q) y(dq/y; q)k Pk (x/y; c, b, d/y; q) (n ≥ 0; k = 0, 1, . . . , n), where q ∈ (0, 1), 0 < aq, bq, cq < 1, d < 0, and Pm(t;α, β, γ; q) are univariate big q-Jacobi polynomials, Pm(t;α, β, γ; q) := 3φ2 ( q−m, αβq, t αq, γq ∣∣∣∣ q; q) (m ≥ 0) (see, e.g., [1, Section 7.3]). We give structure r...

Data Quality (DQ) is a critical issue for effective asset management. DQ problems can result in severe negative consequences for an organisation. Several research studies have indicated that most organizations have DQ problems. This paper aims to explore DQ issues associated with the implementation of Enterprise Asset Management (EAM) systems. The study applies a DQ research framework for Asset...

The topic of Data Quality (DQ) in the field of Information Management has been extensively researched. Within this field, DQ relevant for Public Health Administration has been relatively less explored. DQ research has traditionally focused on a select set of DQ factors (e.g. timeliness or accuracy etc.), however, advances in the field of Information Management triggered by emerging technology t...

Data quality (DQ) metadata is the set of quality measurements associated with the data. Literature has demonstrated that the provision of DQ metadata can improve decision performance. However, it also showed that DQ metadata can overload decision-makers and consequently have a negative impact on decision performance. In this paper, we describe a prototype system, SPIDEQ, for visualizing DQ meta...

Economic perspectives have raised growing attention in recent data quality (DQ) literature, as studies have associated DQ decisions with major cost-benefit tradeoffs. Despite the growing interest, DQ research has not yet developed a robust, agreedupon view for assessing and studying the link between DQ and economic outcome. As a contribution, this study proposes a framework, which links costs t...

Dynamic Querying (DQ) is a technique adopted in unstructured Peer-to-Peer (P2P) networks to minimize the number of peers that is necessary to visit to reach the desired number of results. In this paper we introduce the use of the DQ technique in structured P2P networks. In particular, we present a P2P search algorithm, named DQ-DHT (Dynamic Querying over a Distributed Hash Table), to perform DQ...

Deviation of the multiplicity distribution Pq in small bin from its Poisson counterpart pq is studied within the Ginzburg-Landau description for second-order quark-hadron phase transition. Dynamical factor dq ≡ Pq/pq for the distribution and ratio Dq ≡ dq/d1 are defined, and novel scaling behaviors between Dq are found which can be used to detect the formation of quark-gluon plasma. The study o...