Miracle-dz/UniFAR-FTUs huggingface dataset:
Processes and outcomes of care for diabetic acute myocardial infarction patients in Ontario: do physicians undertreat?

OBJECTIVE To compare the health service utilization and long-term outcomes of acute myocardial infarction (AMI) patients with and without diabetes in Ontario. RESEARCH DESIGN AND METHODS We examined 25,697 patients from Ontario (6,052 and 19,645 patients with and without diabetes, respectively) who were hospitalized because of AMI between 1 April 1992 and 31 December 1993. Using linked administrative databases, we determined the use of invasive cardiac procedures at 1 year as well as the intensity of specialty follow-up care and use of evidence-based pharmacotherapies (among elderly individuals) within the first 90 days of hospital discharge. Outcomes examined included mortality and recurrent cardiac admissions at 30 days and 5 years post AMI. Multivariable analyses adjusted for sociodemographic and case-mix characteristics, attending physician specialty, and admitting hospital characteristics. RESULTS Despite being at significantly higher risk for death at baseline, diabetic patients were less likely to be followed-up by a cardiologist (22.2 vs. 25.6%, P < 0.001), to receive myocardial revascularization (12.6 vs. 14.9%, P < 0.001), to receive beta-blockers (34.2 vs. 44.0%, P < 0.001), and to receive aspirin therapy (59.7 vs. 63.5%, P < 0.001) after AMI than their nondiabetic counterparts. Diabetes was an important independent predictor of 5-year morbidity (adjusted hazard ratio 1.52, 95% CI 1.45-1.59) and 5-year mortality outcomes (1.57, 1.50-1.63). Variations in processes of care were marginally associated with higher nonfatal complication rates for diabetic patients. CONCLUSIONS When managing AMI patients with diabetes in Ontario, physician treatment aggressiveness does not correspond appropriately to the baseline risk of patients.
Diametrical Mesh Of Tree (D2D-MoT) Architecture: A Novel Routing Solution For NoC

Network-on-chip (NoC) is a new aspect for designing of future System-On-Chips (SoC) where a vast number of IP cores are connected through interconnection network. The communication between the nodes occurred by routing packets rather than wires. It supports high degree of scalability, reusability and parallelism in communication. In this paper, we present a Mesh routing architecture, which is called Diametrical 2D Mesh of Tree, based on Mesh-of-Tree (MoT) routing and Diametrical 2D Mesh. It has the advantage of having small diameter as well as large bisection width and small node degree clubbed with being the fastest network in terms of speed. The routing algorithm ensures that the packets will always reach from source to sink through shortest path and is deadlock free.
The “50-50 Criteria” on Postoperative Day 5: An Accurate Predictor of Liver Failure and Death After Hepatectomy

Objective:To standardize the definition of postoperative liver failure (PLF) for prediction of early mortality after hepatectomy. Summary Background Data:The definition of PLF is not standardized, making the comparison of innovations in surgical techniques and the timely use of specific therapeutic interventions complex. Methods:Between 1998 and 2002, 775 elective liver resections, including 69% for malignancies and 60% major resections, were included in a prospective database. The nontumorous liver was abnormal in 43% with steatosis >30% in 14%, noncirrhotic fibrosis in 43%, and cirrhosis in 12%. The impact of prothrombin time (PT) <50% and serum bilirubin (SB) >50 &mgr;mol/L on postoperative days (POD) 1, 3, 5, and 7 was analyzed. Results:The lowest PT level was observed on postoperative day (POD) 1, while the peak of SB was observed on POD 3. These 2 variables tended to return to preoperative values by POD 5. The median interval between hepatectomy and postoperative death was 15 days (range, 5–39 days). Postoperative mortality significantly increased in patients with PT <50% and SB >50 &mgr;ml/L. The conjunction of PT <50% and SB >50 &mgr;mol/L on POD 5 was a strong predictive factor of mortality. In patients with significant morbidity, this “50-50 criteria” was met 3 to 8 days before clinical evidence of complications. Conclusions:The association of PT <50% and SB >50 &mgr;ml/L on POD 5 (the 50-50 criteria) was a simple, early, and accurate predictor of more than 50% mortality rate after hepatectomy. This criteria could be identified early enough, before clinical evidence of complications, for specific interventions to be applied in due time.
BiRange:An Efficient Framework for Biclustering of Gene Expression Data Using Range Bipartite Graph

Biclustering is a vital data mining tool which is commonly emp loyed on microarray data sets for analysis task in bioinformat ics research and medical applications. There has been extensive research on biclustering of gene expression data arising fro m microarray experiment. This technique is an important analysis tool in gene exp ression measurement, when some genes have mu ltip le functions and experimental conditions are diverse. In this paper, we introduce a new framework for biclustering of gene expression data. The basis of this framework is the construction of a range bipartite graph for the rep- resentation of 2-dimensional gene expression data. We have constructed this range bipartite graph by partitioning the set of experimental conditions into t wo disjo int sets. The key benefit of this rep resentation is that, it leads to a co mpact represen- tation of all similar value ranges between experimental conditions. Based on this problem formu lation, an efficient algorith m is proposed that searches for constrained maximal cliques in this range bipartite graph, in order to extract a set of biclusters. Our technique is scalable to pract ical gene expression data and can produce different types of biclusters amid noise. The experimental evaluation of this technique also reveals its accuracy and effectiveness with respect to noise handling and execution time in co mparison to other similar techniques.
Exploiting petri-net structure for activity classification and user instruction within an industrial setting

Live workflow monitoring and the resulting user interaction in industrial settings faces a number of challenges. A formal workflow may be unknown or implicit, data may be sparse and certain isolated actions may be undetectable given current visual feature extraction technology. This paper attempts to address these problems by inducing a structural workflow model from multiple expert demonstrations. When interacting with a naive user, this workflow is combined with spatial and temporal information, under a Bayesian framework, to give appropriate feedback and instruction. Structural information is captured by translating a Markov chain of actions into a simple place/transition petri-net. This novel petri-net structure maintains a continuous record of the current workbench configuration and allows multiple sub-sequences to be monitored without resorting to second order processes. This allows the user to switch between multiple sub-tasks, while still receiving informative feedback from the system. As this model captures the complete workflow, human inspection of safety critical processes and expert annotation of user instructions can be made. Activity classification and user instruction results show a significant on-line performance improvement when compared to the existing Hidden Markov Model or pLSA based state of the art. Further analysis reveals that the majority of our model's classification errors are caused by small de-synchronisation events rather than significant workflow deviations. We conclude with a discussion of the generalisability of the induced place/transition petri-net to other activity recognition tasks and summarise the developments of this model.
FastMap: Fast eQTL mapping in homozygous populations

Motivation: Gene expression Quantitative Trait Locus (eQTL) mapping measures the association between transcript expression and genotype in order to find genomic locations likely to regulate transcript expression. The availability of both gene expression and high-density genotype data has improved our ability to perform eQTL mapping in inbred mouse and other homozygous populations. However, existing eQTL mapping software does not scale well when the number of transcripts and markers are on the order of 105 and 105–106, respectively. Results: We propose a new method, FastMap, for fast and efficient eQTL mapping in homozygous inbred populations with binary allele calls. FastMap exploits the discrete nature and structure of the measured single nucleotide polymorphisms (SNPs). In particular, SNPs are organized into a Hamming distance-based tree that minimizes the number of arithmetic operations required to calculate the association of a SNP by making use of the association of its parent SNP in the tree. FastMap's tree can be used to perform both single marker mapping and haplotype association mapping over an m-SNP window. These performance enhancements also permit permutation-based significance testing. Availability: The FastMap program and source code are available at the website: http://cebc.unc.edu/fastmap86.html Contact: iir@unc.edu; nobel@email.unc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
Emerging MIMO antenna systems for future handheld devices: Possibilities and challenges

The need for higher throughput within wireless terminals is always increasing due to the new services provided. The multiple-input-multiple-output (MIMO) technology was introduced to overcome the saturated data rate capabilities of conventional single antenna systems given the limited bandwidth and power levels. Several MIMO antenna solutions were provided for various wireless systems and it became a pillar in the fourth generation (4G) wireless standards and beyond. In the upcoming fifth generation (5G) wireless standard, MIMO will still play a major role, but several techniques are to be utilized with it. In this work, we will touch upon some of these advanced emerging MIMO antenna systems and their potential use in next generation wireless terminals along with some of the anticipated challenges.
Maximin-optimal sustainable growth in a resource-based imperfect economy

I offer an approach linking a welfare criterion to the opportunities for sustainable development in an imperfect economy. The approach implies a dependence of the criterion on the economy's current state. The economy-linked criterion is constructed using an example with the maximin principle applied to a hybrid level-growth measure. This measure includes as special cases the conventional measures of consumption level and percent change as a measure of growth. The hybrid measure or geometrically weighted percent can be used for measuring sustainable growth as an alternative to percent. The problem is considered for the Dasgupta-Heal-Solow-Stiglitz model. Closed form solutions are obtained for the optimal paths including the paths dynamically consistent with the updates in reserve estimates.
Implementation of temporal functionality in objects with roles model (TF-ORM)

The temporal data models are convenient way to specify the real world applications that presents timely evolution of data. Since last three decades, various temporal data models have been proposed, but no commercial temporal database is available. The only mode of implementation of temporal database is to use traditional databases, by adding temporal extension. This paper presents the implementation of Temporal Object-Oriented Data Model that supports the role concept, i.e. Temporal Functionality in Objects with Roles Model(TF-ORM). Roles are used to describe different perspective of an object evolution. The implementation of the TF-ORM model is done by using PostgreSQL; it is an open source object relational database management system. To implement this data model, initially we start designing the schema of our database, and then a mapping of TF-ORM schema with the underlying relational database (PostgreSQL) is performed. This paper, describes about the TF-ORM model, the schema mapping between the aforementioned model and the relational database, and the implementation of this model.
Geometric path following control for an omnidirectional mobile robot

The paper describes an approach to the development of the geometric path following control for an omnidirectional mobile robot. Desired path of movement in the space is represented by an intersection of two implicit surfaces. Path following control problem is posed as a problem of maintaining the holonomic relationships between the system outputs. Control is synthesized using the dierential geometrical method through nonlinear transformation of initial dynamic model. The main results presented are the nonlinear control algorithms and experimental approbation result.
Wireless capsule endoscopy images enhancement based on adaptive anisotropic diffusion

Wireless capsule endoscopy (WCE) is a new innovative solution for gastrointestinal disease detection. The image quality of WCE is not satisfactory for medical applications since some of them are dark and low-contrast. The WCE image enhancement is a challenge task, mainly because the diversity of the WCE images of different people and the need to preserve the local fine details of WCE images. Hence, it is difficult to apply the traditional image enhancement methods based on global information to WCE image enhancement. In this paper, motivated by the capability of the anisotropic diffusion method in preserving local fine details, a new adaptive contrast anisotropic diffusion method has been developed to enhance WCE images, where the Hessian matrix is used to obtain better representation of the contrast information of WCE images meanwhile the diffusion parameter of the diffusion coefficient function is automatically determined according to the local characteristic. Experimental results have demonstrated the effectiveness of the proposed image enhancement method.
Specters of Wal-Mart: A critical discourse analysis of stories of Sam Walton's ghost

We content analyze the text of Wal-Mart annual reports (1972–2006), both for what is said and in antenarrative fashion what is left out. We find that the specter of Samuel Walton, dead since 1992, dwells in stories told. We intend a critical discourse analysis of the narrative ways in which Wal-Mart translates and crystallizes its version of hyperglobalization by rearticulating its dead leader. Our analysis uses the three-step specter arrival described by Derrida. We also investigate the Weberian routinization of Mr. Sam's charisma, and examine the specter's Bakhtinian double narration. Our thesis: Specters are re-narrated and theatrically enacted by restorying dead leaders. The specter of Sam Walton is employed to answer concerns about Wal-Mart raised by activists. At the same time, the activists also re-present Mr. Sam, claiming: ‘Mr. Sam is rolling over in his grave at what his successors have done, in his name. ’ In sum, we explore what Derrida calls a hauntology of the world's largest corporation. Corporate narratives of the dead leader are invoked and masquerade as polyphonic story by both those for and those against Wal-Mart's hyperglobalization effects.
Chapter 7: The Changing Conception and Practice of Public School Administration

One of the great paradoxes of American public education is how little, and yet how much, our schools have changed over the past two decades of unprecedented ferment, turbulence, and systematic efforts at reform. In many of their most obvious features, schools have scarcely changed at all. Indeed, American public schools have become notorious for their ability to resist change and innovation (Hawley, 1975). In most schools, the methods and character of instruction, the organization of schooling, and, in many respects, the curriculum itself are little different in appearance than they were many years ago (Cuban, 1979). And the public schools seem no more effective now than before the federaland state-funded reform efforts of the 1960s and 1970s. Indeed, many infer from declining achievement test scores that the schools have become less effective. Yet, despite all of this, there have been remarkable changes in American public education. The extraordinary pressures placed on the schools over the past two decades, in behalf of greater equity, equality, effectiveness, and efficiency—and the performance problems of schools that these pressures have brought to light—have led to a number of far-reaching changes: a virtual revolution in authority relations in schools; a sense of crisis about the normative order of schools; a serious decline in public confidence in, and support for, the schools; and substantial changes in how schools are
A Co-Plot analysis of logs and models of parallel workloads

We present a multivariate analysis technique called Co-Plot that is especially suitable for few samples of many variables. Co-Plot embeds the multidimensional samples in two dimensions, in a way that allows key variables to be identified, and relations between both variables and observations to be analyzed together. When applied to the workloads on parallel supercomputers, we find two stable perpendicular axes of highly correlated variables, one representing individual job attributes and the other representing multijob attributes. The different workloads, on the other hand, are rather different from one another, and may also change over time. Synthetic models for workload generation are also analyzed, and found to be reasonable in the sense that they span the same range of variable combinations as the real workloads. However, the spread of real workloads implies that a single model cannot be similar to all of them. This leads us to construct a parameterized model, with parameters that correspond to the two axes identified above. We also find that existing models do not model the temporal structure of the workload well, and hence are wanting for tasks such as comparing schedulers, and that the common methodology for load manipulation of workloads is problematic.
Using UML in control and automation: a model driven approach

The function block (FB) has been defined by the International Electro-technical Commission as the basic construct for the development of reusable, interoperable, distributed control applications. However, the FB does not exploits recent advances in software engineering. The Unified Modeling Language (UML) is the new industry standard for modeling software-intensive systems. UML brings in the development process the best software engineering practices. In this paper, we examine the use of UML in control and automation and describe the use of a hybrid approach in the development process of distributed control systems. The proposed approach integrates UML with the already well accepted by control engineers FB construct, to cover the analysis and design phases of the development process. A model driven approach is adopted to move from analysis through design, to implementation. The applicability of the UML profile for schedulability, performance and time, to the proposed development process, is also examined
Multi-tank fuzzy level controller system using system

This paper presents the development of a level control system using 3D machine vision techniques based on a single level-detector sensor (Kinect), in an arrangement of three tanks. Using image processing algorithms, each one of the tanks is classified within the video sequence as well as each one of the depth measurements is averaged regarding the cross sectional area of the surface of the tanks. This information is used to control the filling level for each tank using a proportional fuzzy controller and a proportional-derivative fuzzy controller. Finally the performance of each controller is compared.
Efficient JavaScript Mutation Testing

Mutation testing is an effective test adequacy assessment technique. However, it suffers from two main issues. First, there is a high computational cost in executing the test suite against a potentially large pool of generated mutants. Second, there is much effort involved in filtering out equivalent mutants, which are syntactically different but semantically identical to the original program. Prior work has mainly focused on detecting equivalent mutants after the mutation generation phase, which is computationally expensive and has limited efficiency. In this paper, we propose a technique that leverages static and dynamic program analysis to guide the mutation generation process a-priori towards parts of the code that are error-prone or likely to influence the program's output. Further, we focus on the JavaScript language, and propose a set of mutation operators that are specific to web applications. We implement our approach in a tool called MUTANDIS. We empirically evaluate MUTANDIS on a number of web applications to assess the efficacy of the approach.
DATES: Design Analysis Tool for Enterprise Systems

In the current demonstration we present a new tool which increases the level of understanding and the accuracy of design quality assessment within enterprise systems. This is performed by providing its users with information specific to this type of systems (e.g., accessed tables from a class). In order to validate its usefulness, we perform some experiments on a suite of enterprise systems whose results are briefly presented in the last part of the demo.
Self-Criticism Mediates the Link between Childhood Emotional Maltreatment and Young Adults' Romantic Relationships

We examined the mediating role of self-criticism in the link between childhood emotional maltreatment and impairments in young adults' romantic relationships. In two studies, undergraduates (Ns = 91 and 99) reported childhood emotional maltreatment, self-concept and personality (self-criticism, dependency, self-efficacy, and dissociation), romantic relationship quality, and psychological distress (general BSI psychopathology and PTSD severity). Consistent with hypotheses, self-criticism mediated the associations between childhood emotional maltreatment and impairment in romantic relationships, even in the presence of a host of personality and psychopathology variables.
Finite Element based Simulation of Orthogonal Cutting Process to Determine Residual Stress Induced

The essence of this research work is to develop a finite element based simulation model of orthogonal cutting process and determine residual stress induced in component. Thermomechanical forces generated at tool-chip interface are responsible for metal cutting operation. These forces are induced on surface or sub-surface layer of work piece and tool in the form of residual stress. Experimentally it is quite difficult to get the values of forces and residual stress. Residual stress has considerable effect on life of a component when subjected to fatigue or variable loading. In real time almost all components are machined to get required surface finish and dimensional accuracy. Hence, knowledge about machining induced residual stress magnitude and its direction will be of great use while designing the component. This can improve life of component and chances of sudden or accidental failure of critical machine parts can be minimized. The current research work is focused on, finite element simulation of orthogonal machining process on different materials and to get magnitude and direction of residual stress induced in work-piece as result of simulation model. To describe work material behavior Johnson-cook material model is used. A fully coupled Thermo-mechanical analysis is developed to realistically simulate the machining process. As a conclusion graphical analysis of residual stress vs machining parameters will be done, from which decision about selection of optimum machining process, to improve component life can be made.