55 research outputs found

    An Intelligent Risk Detection Framework Using Knowledge Discovery To Improve Decision Efficiency In Healthcare Contexts: The Case Of Paediatric Congenital Heart Disease

    Get PDF
    Healthcare professionals, especially surgeons must make complex decisions with far reaching consequences and associated risks. As has been shown in other industries, the ability to drill down into pertinent data to explore knowledge behind the data greatly facilitates superior, informed decisions to ensue. This proposal proffers an Intelligent Risk Detection (IRD) Model using data mining techniques followed by Knowledge Discovery in order to detect the dominant risk factors across a complex surgical decision making process and thereby to predict the surgery results and hence support superior decision making. To illustrate the benefits of this model, the case of the Congenital Heart Disease (CHD) is presented[1]

    Guanidinium (aqua-2κO)(4-hydr­oxy-6-carboxy­pyridine-2-carboxyl­ato-2κ3 O 2,N,O 6)(μ-4-hydroxy­pyridine-2,6-dicarboxyl­ato-1:2κ4 O 2,N,O 6:O 2)(4-hydroxy­pyridine-2,6-dicarboxyl­ato-1κ3 O 2,N,O 6)dizincate(II) dihydrate

    Get PDF
    The title compound, (CH6N3)[Zn2(C7H3NO5)2(C7H4NO5)(H2O)]·2H2O, has an anionic binuclear complex of ZnII balanced with a guanidinium cation. There are two uncoord­inated water mol­ecules in the structure. The asymmetric unit of the compound has two different coordination types (the coordination of Zn1 is distorted trigonal-bipyramidal, while that of Zn2 is distorted octahedral) of ZnII in the crystal structure that are bridged to each other via one hypydc2− group (hypydcH2 is 4-hydroxy­pyridine-2,6-dicarboxylic acid). A variety of inter­molecular O—H⋯O, N—H⋯O and C—H⋯O hydrogen bonds involving water mol­ecules, cations and anions, and also a weak π–π inter­action [3.798 (1) Å], are responsible for extending the structure into a three-dimensional network

    Hydroxonium creatininium bis­(pyridine-2,6-dicarboxyl­ato-κ3 O 2,N,O 6)cobaltate(II) trihydrate

    Get PDF
    The title compound, (C4H8N3O)(H3O)[Co(C7H3NO4)2]·3H2O, contains a protonated creatininium cation, a hydrox­onium (H3O)+ cation, a [Co(pydc)2]2− (pydcH2 = pyridine-2,6-dicarboxylic acid) complex anion, and three uncoordinated water mol­ecules. The CoII atom is coordinated by four O and two N atoms from two pydc ligands in a distorted octa­hedral environment. The structure also contains three uncoordinated water mol­ecules. Extensive inter­molecular O—H⋯O, N—H⋯O and C—H⋯O hydrogen bonds, π–π stacking inter­actions [centroid–centroid distances = 3.565 (14) and 3.425 (14) Å] and O⋯π inter­actions [O⋯centroid distance = 3.480 (2) Å] connect the various components in the crystal structure

    Bis(1-methyl-4-oxoimidazolidin-2-iminium) diaqua­bis­(pyridine-2,4-dicarboxyl­ato-κ2 N,O 2)zincate(II) dihydrate

    Get PDF
    In the title compound, (C4H8N3O)2[Zn(C7H3NO4)2(H2O)2]·2H2O, the ZnII ion is six-coordinated in a distorted octa­hedral geometry by two pyridine-2,4-dicarboxyl­ate (pydc) ligands in the equatorial plane and two water mol­ecules in the axial positions. The pydc ligands act as bidentate chelating ligands through one carboxyl­ate O atom and the pyridine N atom. Inter­molecular N—H⋯O, O—H⋯O and weak C—H⋯O hydrogen bonds stabilize the crystal structure

    An Intelligent Risk Detection Framework Using Business Intelligence Tools to Improve Decision Efficiency in Healthcare Contexts

    Get PDF
    Leading healthcare organizations are recognizing the need to incorporate the power of a decision efficiency approach drivenby intelligent solutions. The primary drivers for this include the time pressures faced by healthcare professionals coupledwith the need to process voluminous and growing amounts of disparate data and information in shorter and shorter timeframes and yet make accurate and suitable treatment decisions which have a critical impact on successful healthcareoutcomes. This research contends that such a context is appropriate for the application of real time intelligent risk detectiondecision support systems using Business Intelligence (BI) technologies. The following thus proposes such a model in thecontext of the case of Congenital Heart Disease (CHD), an area which requires complex high risk decisions which need to bemade expeditiously and accurately in order to ensure successful healthcare outcomes

    Hydroxonium creatininium bis­(pyridine-2,6-dicarboxyl­ato-κ3 O 2,N,O 6)nickel­ate(II) trihydrate

    Get PDF
    The title compound, (C4H8N3O)(H3O)[Ni(C7H3NO4)2]·3H2O, exhibits isotypism with its CoII analogue. All intramolecular distances and angles are similar for the two structures. This applies also for the intermolecular forces, consisting of O—H⋯O and N—H⋯O hydrogen bonds and π–π interactions [with centroid–centroid distances of 3.428 (2) and 3.579 (2) Å], that lead to a cohesion of the structure

    Ethical Considerations in Physical Education

    Get PDF
    The present article tries to examine those aspects of personal capability management in a valued system and ethical considerations as well as toady theories based on verses and documented narrations about physical exercise and skills in Islam. Since there are many evidences about a careful attitude regarding a well-trained body and calm mentality in valued system and there are many documented case studies in this field, while studying long background especially pre-history and before various religions especially Islam, approaches and comparative studies along with documented narrations and statements of contemporary connoisseurs are addressed of which one can point out mental and physical health, the personal capabilities management, ethical considerations and practical abilities such resistance, high morale, agility, stress-avoiding, situation cognition and rival cognition. Meanwhile, in defining the evidences of valued system, factual and historical cases in verses and narrations are provided

    Hexaaqua­nickel(II) tetra­aqua­bis­(μ-pyridine-2,6-dicarboxyl­ato)bis­(pyridine-2,6-dicarboxyl­ato)trinickelate(II) octa­hydrate

    Get PDF
    The title compound, [Ni(H2O)6][Ni3(C7H3NO4)4(H2O)4]·8H2O, was obtained by the reaction of nickel(II) nitrate hexa­hydrate with pyridine-2,6-dicarb­oxy­lic acid (pydcH2) and 1,10-phenanothroline (phen) in an aqueous solution. The latter ligand is not involved in formation of the title complex. There are three different NiII atoms in the asymmetric unit, two of which are located on inversion centers, and thus the [Ni(H2O)6]2+ cation and the trinuclear {[Ni(pydc)2]2-μ-Ni(H2O)4}2− anion are centrosymmetric. All NiII atoms exhibit an octa­hedral coordination geometry. Various inter­actions, including numerous O—H⋯O and C—H⋯O hydrogen bonds and C—O⋯π stacking of the pyridine and carboxyl­ate groups [3.570 (1), 3.758 (1) and 3.609 (1) Å], are observed in the crystal structure

    2-Amino­pyrimidinium 4-hy­droxy­pyridinium-2,6-dicarboxyl­ate monohydrate

    Get PDF
    In the crystal structure of the title compound, C4H6N3 +·C7H4NO5 −·H2O, inter­molecular N—H⋯N, N—H⋯O and O—H⋯O hydrogen bonds link the cations and anions into almost planar sheets parallel to (102). These hydrogen-bonded sheets are packed into the crystal with the formation of centrosymmetric voids of 68 Å3, which are filled by the water mol­ecules, each of which is disordered over four positions

    Truncated Differential Attacks: New Insights and 10-round Attacks on QARMA

    Get PDF
    Truncated differential attacks were introduced by Knudsen in 1994 [1]. They are a well-known family that has arguably received less attention than some other variants of differential attacks. This paper gives some new insight on truncated differential attacks and provides the best-known attacks on both variants of the lightweight cipher QARMA, in the single tweak model, reaching for the first time 10 rounds while contradicting the security claims of this reduced version. These attacks use some new truncated distinguishers as well as some evolved key-recovery techniques
    corecore