Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Pexelizumab, an Anti-C5 Complement Antibody, as Adjunctive Therapy to Fibrinolysis in Acute Myocardial Infarction: The COMPlement inhibition in myocardial infarction treated with thromboLYtics (COMPLY) Trial

Background—Complement activation mediates myocardial damage that occurs during ischemia and reperfusion through multiple pathways. We performed 2 separate, parallel, double-blind, placebo-controlled trials to determine the effects of pexelizumab (a novel C5 complement monoclonal antibody fragment) on infarct size in patients receiving reperfusion therapy: COMPlement inhibition in myocardial infarction treated with thromboLYtics (COMPLY) and COMplement inhibition in Myocardial infarction treated with Angioplasty (COMMA). The COMPLY trial is reported here. Methods and Results—Overall, 943 patients with acute ST-segment elevation myocardial infarction (MI) (20% with isolated inferior MI) receiving fibrinolysis were randomly assigned <6 hours after symptom onset to placebo, pexelizumab 2.0-mg/kg bolus, or pexelizumab 2.0-mg/kg bolus plus 0.05 mg/kg per h for 20 hours. Infarct size determined by creatine kinase–MB area under the curve was the primary analysis, which included patients who received at least some study drug and fibrinolysis (n=920). The median infarct size did not differ by treatment (placebo, 5230; bolus, 4952; bolus plus infusion, 5557 [ng/mL] · h; bolus versus placebo, P =0.85; bolus plus infusion versus placebo, P =0.81), nor did the 90-day composite incidence of death, new or worsening congestive heart failure, shock, or stroke (placebo, 18.6%; bolus, 18.4%; bolus plus infusion, 19.7%). Pexelizumab inhibited complement for 4 hours with bolus-only dosing and for 20 to 24 hours with bolus-plus-infusion dosing, with no increase in infections. Conclusions—When used adjunctively with fibrinolysis, pexelizumab blocked complement activity but reduced neither infarct size by creatine kinase–MB assessment nor adverse clinical outcomes.
Experimental results for walking navigation system using fast SLAM

Simultaneous Localization And Mapping (SLAM) has been an important topic for robotics. The technology will also be useful for walking navigation for, e.g., blind persons. We are developing a system using a laser range sensor and a pushcart designed to assist walking persons. Recently, interests in localization and map building with laser range sensor have been increasing in robotics community. A system using a laser range sensor is with low computational cost, and is robust for environment changes (e.g. lighting condition, etc.). As the first step in this project, we consider the localization of a moving cart with laser range sensor and building environment map. We will compare some scan matching algorithms. We will use FastSLAM algorithm where particle filters are used for tracking the position estimation.
Clustering Semantics for Discourse Generation

In earlier work, we have shown how clustering techniques can transform semantic markup into discourse, which style sheets can transform into hypermedia presentations. This paper discusses the different clustering techniques for deriving discourse from semantics. These techniques use properties, relations and numerical properties of information objects and semantic networks. We show how these clustering techniques contribute to generating the hierarchical and sequential components of discourse.
Wireless Applications Evaluation and Development Process:Case -Paper Industry Logistics

Author: Antti Mikko Sissonen The convergence of e-business and mobility together with the escalating pace of technological innovation are driving businesses to explore new wireless business solutions. The objective of this thesis was to study the process of evaluating and developing wireless e-business applications. The focus of the study is on the use of radio frequency identification in delivery tracking in the paper industry's outbound logistics. The study defines the concept of wireless e-business and its value drivers, describes the different application areas and the strategic and technological dimensions of evaluating and developing wireless applications. The study provides a framework for examining the effects of wireless technologies on logistics. The result of the study is a process model for evaluating and developing wireless applications. The delivery tracking application developed with the model proved to be beneficial for managing the supply chain. Foreword The experience of making this Master's Thesis come true has been an enlightening one. It has given me a chance to put into practice all the sweat and elbow grease that I have faced in the academic world. At the end of the day I also feel that the past months have multiplied the knowledge gathered from years of studying. Experience is what I have gained, of both life and work, but especially the experience of going through this episode together in a fine esprit de corps with our eclectic and brilliant project group. I would like to thank the project manager Petteri Laaksonen for the excellent job he did of steering the ship and my supervising professor Anita Lukka for all her guidance and advice. So, do I feel that I have truly attained a degree of mastery? Has this accomplishment met my expectations? I can say that my eyes are open now. Friedrich Nietzsche has said that " we have reached mastery when we neither mistake nor hesitate in the achievement ". If I am not mistaken, I hesitate to say that the expediency of the challenge has not been achieved.
Parallel Integer Sorting with Medium and Fine-Scale Parallelism

Two new parallel integer sorting algorithms, queue-sort and barrel-sort, are presented and analyzed in detail. These algorithms do not have optimal parallel complexity, yet they show very good performance in practice. Queue-sort is designed for fine-scale parallel architectures which allow the queueing of multiple messages to the same destination. Barrel-sort is designed for medium-scale parallel architectures with a high message passing overhead. The performance results from the implementation of queue-sort on a Connection Machine CM-2 and barrel-sort on a 128 processor iPSC/860 are given. The two implementations are found to be comparable in performance but not as good as a fully vectorized bucket sort on the Cray YMP.
Disease-limited distributions? Contrasts in the prevalence of avian malaria in shorebird species using marine and freshwater habitats

Migratory shorebirds show strong dichotomies in habitat choice during both the breeding and nonbreeding season. Whereas High Arctic breeding species are restricted to coastal marine and saline habitats during the nonbreeding season, more southerly breeding species tend to use freshwater habitats away from coasts. It has been proposed that this co-variation in habitat use is a consequence of a single axis of adaptation to pathogens and parasites, which are hypothesized to be relatively scarce in High Arctic, marine, and saline habitats and relatively common at lower latitudes and in freshwater habitats. Here we examine this contrast by comparing the prevalence of avian malaria infections in shorebirds occupying different habitats. We used a PCR-based assay on 1319 individuals from 31 shorebird species sampled in the Arctic, in temperate Europe and in inland and marine habitats in West Africa. Infections mainly occurred in tropical wetlands, with the shorebirds in freshwater inland habitats having significantly higher prevalence of malaria than birds in marine coastal habitats. Infections were not found in birds migrating through Europe even though conspecifics did show infections in tropical Africa. Adults should resist infection better than juveniles, but showed higher malaria prevalence, suggesting that infection probability increases with cumulative exposure. We argue that exposure to vectors is the main factor explaining the habitat-related differences in malaria prevalence.
OPEC and the Dollar Dilemma

New instability in the international monetary system has developed since the dollar's depreciation began raising concerns that the Organization of Petroleum Exporting Countries (OPEC) will turn to a currency with a better exchange value. OPEC losses between December 1976 and April 1978 are calculated for trade depreciation and loss of buying power. The options available to OPEC to counteract this situation are examined, and remedies are suggested for enhancing confidence in the U.S. dollar through free trade activities and intervention policies. The major industrial countries are advised to coordinate their policies to allow noninflationary growth in a free market and to form an accommodative agreement with OPEC that will protect both oil revenues and the dollar.
Yeast and the AIDS Virus: The Odd Couple

Despite being simple eukaryotic organisms, the yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe have been widely used as a model to study human pathologies and the replication of human, animal, and plant viruses, as well as the function of individual viral proteins. The complete genome of S. cerevisiae was the first of eukaryotic origin to be sequenced and contains about 6,000 genes. More than 75% of the genes have an assigned function, while more than 40% share conserved sequences with known or predicted human genes. This strong homology has allowed the function of human orthologs to be unveiled starting from the data obtained in yeast. RNA plant viruses were the first to be studied in yeast. In this paper, we focus on the use of the yeast model to study the function of the proteins of human immunodeficiency virus type 1 (HIV-1) and the search for its cellular partners. This human retrovirus is the cause of AIDS. The WHO estimates that there are 33.4 million people worldwide living with HIV/AIDS, with 2.7 million new HIV infections per year and 2.0 million annual deaths due to AIDS. Current therapy is able to control the disease but there is no permanent cure or a vaccine. By using yeast, it is possible to dissect the function of some HIV-1 proteins and discover new cellular factors common to this simple cell and humans that may become potential therapeutic targets, leading to a long-lasting treatment for AIDS.
Assessment of cytomegalovirus-specific cell-mediated immunity for the prediction of cytomegalovirus disease in high-risk solid-organ transplant recipients: a multicenter cohort study.

BACKGROUND Cytomegalovirus (CMV) disease remains an important problem in solid-organ transplant recipients, with the greatest risk among donor CMV-seropositive, recipient-seronegative (D(+)/R(-)) patients. CMV-specific cell-mediated immunity may be able to predict which patients will develop CMV disease. METHODS We prospectively included D(+)/R(-) patients who received antiviral prophylaxis. We used the Quantiferon-CMV assay to measure interferon-γ levels following in vitro stimulation with CMV antigens. The test was performed at the end of prophylaxis and 1 and 2 months later. The primary outcome was the incidence of CMV disease at 12 months after transplant. We calculated positive and negative predictive values of the assay for protection from CMV disease. RESULTS Overall, 28 of 127 (22%) patients developed CMV disease. Of 124 evaluable patients, 31 (25%) had a positive result, 81 (65.3%) had a negative result, and 12 (9.7%) had an indeterminate result (negative mitogen and CMV antigen) with the Quantiferon-CMV assay. At 12 months, patients with a positive result had a subsequent lower incidence of CMV disease than patients with a negative and an indeterminate result (6.4% vs 22.2% vs 58.3%, respectively; P < .001). Positive and negative predictive values of the assay for protection from CMV disease were 0.90 (95% confidence interval [CI], .74-.98) and 0.27 (95% CI, .18-.37), respectively. CONCLUSIONS This assay may be useful to predict if patients are at low, intermediate, or high risk for the development of subsequent CMV disease after prophylaxis. CLINICAL TRIALS REGISTRATION NCT00817908.
A Fuzzy Clustering and Fuzzy Merging Algorithm

Some major problems in clustering are: i) find the optimal number K of clusters; ii) assess the validity of a given clustering; iii) permit the classes to form natural shapes rather than forcing them into normed balls of the distance function; iv) prevent the order in which the feature vectors are read in from affecting the clustering; and v) prevent the order of merging from affecting the clustering. The k-means algorithm is the most efficient, easiest to implement and has known convergence, but it suffers from all of the above deficiencies. We employ a relatively large number K of uniformly randomly distributed initial prototypes and then thin by deleting any prototypes that are too close to another in a manner to leave fewer uniformly distributed prototypes. We then employ the k-means algorithm, eliminate empty and very small clusters and iterate a process of computing a new type of fuzzy prototypes and reassigning the feature vectors until the prototypes become fixed. At that point we merge the K small clusters into a smaller number K of larger classes. The algorithm is tested on both simple and difficult data sets. We modify the Xie-Bene validity measure to determine the goodness of the clustering for multiple values of K.
Externally forced and internally generated decadal climate variability associated with the Interdecadal Pacific Oscillation

AbstractGlobally averaged surface air temperatures in some decades show rapid increases (accelerated warming decades), and in other decades there is no warming trend (hiatus decades). A previous study showed that the net energy imbalance at the top of the atmosphere of about 1 W m−2 is associated with greater increases of deep ocean heat content below 750 m during the hiatus decades, while there is little globally averaged surface temperature increase or warming in the upper ocean layers. Here the authors examine processes involved with accelerated warming decades and address the relative roles of external forcing from increasing greenhouse gases and internally generated decadal climate variability associated with interdecadal Pacific oscillation (IPO). Model results from the Community Climate System Model, version 4 (CCSM4), show that accelerated warming decades are characterized by rapid warming of globally averaged surface air temperature, greater increases of heat content in the upper ocean layers, an.
Clinical Informatics in Critical Care

Health care information systems have the potential to enable better care of patients in much the same manner as the widespread use of the automobile and telephone did in the early 20th century. The car and phone were rapidly accepted and embraced throughout the world when these breakthroughs occurred. However, the automation of health care with use of computerized information systems has not been as widely accepted and implemented as computer technology use in all other sectors of the global economy. In this article, the authors examine the need, risks, and rewards of clinical informatics in health care as well as its specific relationship to critical care medicine.
Moving-Target Pursuit Algorithm Using Improved Tracking Strategy

Pursuing a moving target in modern computer games presents several challenges to situated agents, including real-time response, large-scale search space, severely limited computation resources, incomplete environmental knowledge, adversarial escaping strategy, and outsmarting the opponent. In this paper, we propose a novel tracking automatic optimization moving-target pursuit (TAO-MTP) algorithm employing improved tracking strategy to effectively address all challenges above for the problem involving single hunter and single prey. TAO-MTP uses a queue to store prey's trajectory, and simultaneously runs real-time adaptive A* (RTAA*) repeatedly to approach the optimal position updated periodically in the trajectory within limited steps, which makes the overall pursuit cost smallest. In the process, the hunter speculatively moves to any position explored in the trajectory, not necessarily the optimal position, to speed up convergence, and then directly moves along the trajectory to pursue the prey. Moreover, automatic optimization methods, such as reducing trajectory storage and optimizing pursuit path, are used to further enhance its performance. As long as the hunter's moving speed is faster than that of the prey, and its sense scope is large enough, it will eventually capture the prey. Experiments using commercial game maps show that TAO-MTP is independent of adversarial escaping strategy, and outperforms all the classic and state-of-the-art moving-target pursuit algorithms such as extended moving-target search (eMTS), path refinement moving-target search (PR MTS), moving-target adaptive A* (MTAA*), and generalized adaptive A* (GAA*).
Interactive Simulation of Physically-Based Deformation , Plasticity , and Fracture

We consider the problem of real-time interactive simulation of deformation, plasticity and fracture. This document compares, contrasts, and synthesizes two recent directions in the field (covered in four papers). Both directions improve upon a linear elastic model for simulating deformations and use the finite element method (FEM), but approach the problem of handling large rotational deformations in completely different ways. We also present preliminary ideas for extending and improving these methods.
LOW-METALLICITY PROTOSTARS AND THE MAXIMUM STELLAR MASS RESULTING FROM RADIATIVE FEEDBACK: SPHERICALLY SYMMETRIC CALCULATIONS

The final mass of a newborn star is set at the epoch when the mass accretion onto the star is terminated. We study the evolution of accreting protostars and the limits of accretion in low-metallicity environments under spherical symmetry. Accretion rates onto protostars are estimated via the temperature evolution of prestellar cores with different metallicities. The derived rates increase with decreasing metallicity, from at Z = Z☉ to 10−3 M☉ yr−1 at Z = 0. With the derived accretion rates, the protostellar evolution is numerically calculated. We find that, at lower metallicity, the protostar has a larger radius and reaches the zero-age main sequence (ZAMS) at higher stellar mass. Using this protostellar evolution, we evaluate the upper stellar mass limit where the mass accretion is hindered by radiative feedback. We consider the effects of radiation pressure exerted on the accreting envelope, and expansion of an H ii region. The mass accretion is finally terminated by radiation pressure on dust grains in the envelope for Z ≳ 10−3 Z☉ and by the expanding H ii region for lower metallicity. The mass limit from these effects increases with decreasing metallicity from M* ≃ 10 M☉ at Z = Z☉ to ≃300 M☉ at Z = 10−6 Z☉. The termination of accretion occurs after the central star arrives at the ZAMS at all metallicities, which allows us to neglect protostellar evolution effects in discussing the upper mass limit by stellar feedback. The fragmentation induced by line cooling in low-metallicity clouds yields prestellar cores with masses large enough that the final stellar mass is set by the feedback effects. Although relaxing the assumption of spherical symmetry will alter feedback effects, our results will be a benchmark for more realistic evolution to be explored in future studies.
Singular sector of the KP hierarchy, ∂̄-operators of non-zero index and associated integrable systems

Integrable hierarchies associated with the singular sector of the KP hierarchy, or equivalently, with ∂̄-operators of non-zero index are studied. They arise as the restriction of the standard KP hierarchy to submanifols of finite codimension in the space of independent variables. For higher ∂̄-index these hierarchies represent themselves families of multidimensional equations with multidimensional constraints. The ∂̄-dressing method is used to construct these hierarchies. Hidden KdV, Boussinesq and hidden Gelfand-Dikii hierarchies are considered too.
Analyze and Fault Diagnosis by Multi-scale PCA

This paper introduces a new methodology for fault diagnosis of rotating machinery in complex industrial process. In this fault diagnosis system, multi-scale principal component analysis (MSPCA) is used. The main contribution of this paper is the use of the MSPCA technique in the fault diagnosis based on vibration analysis in rotating machinery. Their maintenance as well as their diagnosis then became an economic state. It is important to early detect the faults likely to appear in those motors and to implement a preventive maintenance.
Preparing Foreign Language Students for Today's Job Market.

College language teachers shmild become more aware of the needs of the job market and the specific ways that language majors can use their unique characteristics to satisfy those needs. Then students must be made aware of this information. The principles of marketing can be used to examine job requirements. Steps in applying these principles include: (1) identifying the special characteristics of language students that represent a product to be marketed to employers; (2) identifying potential employers and establishing a profile that will describe their needs; (3) considering the place at which employer and employee are linked; (4) planning strategies for promotion of the product; and (5) becoming aware of economic issues that affect "price. " Teachers deal with matters of "product" daily in teaching and curriculum planning. "Profile" and "place" can be approached by the campus placement office. Teachers' responsibility in the area of price awareness is to inform students of the relationship between profit-making corporations and the liberal arts. It is prima:ily in "promotion" that language teachers can adiust current levels of activity and strategies. An excerpt from a college promotional brochure and a graph illustrating application of marketing mix ele,aents to job placement are appended. Contains 8 references. (MSE) **********************************t************************************ * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ***********************************************************************
On Dp-Dp+4 systems, QCD dual and phenomenology

D4-D8 and D3-D7 systems are studied and a possible holographic dual of large N QCD (SU(N) gauge fields and fundamental quarks) is sought. A candidate system is found, for which however no explicit solution is available. Susy is broken by having a $D7-\bar{D7}$ condensing to a D5. The mechanism for supersymmetry breaking is then used to try to construct a Standard Model embedding. One can either obtain too few low energy fields or too many. The construction requires TeV scale string theory.
A Dynamic Model of Corporate Acquisitions

Using a game theoretic real option framework, we develop a model of corporate acquisitions. We incorporate imperfect information about synergy gains, strategic interaction among competing bidders, and between the acquirer and the target firm. Assuming the absence of managerial motives, the model is able to explain some empirical regularities that, thus far, have only been explained under the agency and hubris hypotheses. The undervaluation, asymmetric distribution of gains, and divestiture phenomena are natural results in our model. This theoretical model suggests that controlling for industry and target characteristics is an important element in empirical research.
An Information Systems Design Theory for an RFID University-Based Laboratory

RFID technology is defined as a wireless automatic identification and data capture (AIDC) technology and is considered as "the next big thing" in the management and "the next revolution in supply chain". Recently, the topic has attracted the interest of the industrial community as well as the scientific community. Following this tendency, this paper applies an Information Systems Design Theory (ISDT) for an RFID-based University Laboratory. For practitioners, the paper provides some insights into the set-up and use of RFID laboratory in university settings, and at the same time, it offers a set of hypotheses that can be empirically tested.