Miracle-dz/UniFAR-FTUs huggingface dataset:
Induction of apoptosis by arachidonic acid in chronic myeloid leukemia cells.

The hallmark of chronic myeloid leukemia (CML) is the presence of the bcr-abl oncogene, which is associated with transforming ability and an intrinsic resistance to induction of apoptosis by genotoxic agents. Arachidonic acid (AA), a biologically active fatty acid, plays a crucial role as a mediator of signaling pathways involved in cell proliferation and survival. In this study, we investigated the potential role of AA as a proapoptotic agent in CML. Pretreatment of human CML isolated progenitor cells with AA (100 microM for 18 h) induced 71-75% inhibition of in vitro colony formation of granulocyte-macrophage colony-forming units, multilineage colony-forming units, and erythroid burst-forming units. This inhibition was significantly greater than the effect on normal progenitor cells (19-39% growth inhibition of erythroid burst-forming units, multilineage colony-forming units, and granulocyte-macrophage colony-forming units). AA also inhibited growth of the bcr-abl-transformed cell line H7.bcr-abl A54. In contrast, a minimal effect of AA on inhibition of cell growth was observed in the parental nontransformed NSF/N1.H7 cell line. The antiproliferative effect of AA was associated with apoptosis. Gamma-linolenic acid, a precursor of AA, also inhibited cell growth, whereas other unsaturated and saturated fatty acids had no effect. Pharmacological inhibition of cyclooxygenase, lipooxygenase, and cytochrome P450 monooxygenase enzymes prior to exposure to AA did not rescue cells from the inhibitory effect of AA. Moreover, 5,8,11,14-eicosatetraynoic acid, a nonmetabolizable arachidonate analogue, also inhibited cell growth, suggesting that the effect of AA did not require further metabolism. Treatment with antioxidants prior to stimulation with AA was also ineffective in preventing its antiproliferative effect. Thus, AA inhibited proliferation of CML cells by inducing apoptotic cell death. The signaling mechanisms of AA-induced inhibition of cell growth appeared to be independent of its conversion into eicosanoids or free radical generation.
Learning from the past: automated rule generation for complex event processing

Complex Event Processing (CEP) systems aim at processing large flows of events to discover situations of interest. In CEP, the processing takes place according to user-defined rules, which specify the (causal) relations between the observed events and the phenomena to be detected. We claim that the complexity of writing such rules is a limiting factor for the diffusion of CEP. In this paper, we tackle this problem by introducing iCEP, a novel framework that learns, from historical traces, the hidden causality between the received events and the situations to detect, and uses them to automatically generate CEP rules. The paper introduces three main contributions. It provides a precise definition for the problem of automated CEP rules generation. It dicusses a general approach to this research challenge that builds on three fundamental pillars: decomposition into subproblems, modularity of solutions, and ad-hoc learning algorithms. It provides a concrete implementation of this approach, the iCEP framework, and evaluates its precision in a broad range of situations, using both synthetic benchmarks and real traces from a traffic monitoring scenario.
Transport-dependent Accessibility of a Cytoplasmic Loop Cysteine in the Human Dopamine Transporter*

The effect of covalent sulfhydryl modification on dopamine uptake by the human dopamine transporter was determined by rotating disc electrode voltammetry. A transporter construct, X5C, with five mutated cysteines (C90A, C135A, C306A, C319F, and C342A) and the constructs into which the wild-type cysteines were substituted back into X5C, one at a time, all showed nearly normal binding affinity for [3H]CFT and for cocaine, but they displayed significant reductions in K m andV max for DA uptake. Reaction of Cys-90 or Cys-306 with impermeant methanethiosulfonate derivatives enhanced dopamine uptake to a similar extent as the previously observed enhancement of [3H]CFT binding caused by the same reaction, suggesting that cocaine may bind preferentially to a conformation in the transport cycle. m-Tyramine increased the rate of reaction of (2-aminoethyl)methanethiosulfonate (MTSEA) with X-A342C, the construct with a cytoplasmic loop residue Cys-342 restored. This m-tyramine-induced increase in reactivity appeared to require the inward transport rather than the outward transport or external binding of m-tyramine, and it was prevented by cocaine. Thus, inward translocation of substrates may involve structural rearrangement of hDAT, which likely exposes Cys-342 to reaction with MTSEA, and Cys-342 may be located on a part of the transporter associated with cytoplasmic gating.
A Case of Dissociative Fugue and General Amnesia with an 11-Year Follow-Up

Dissociative fugue refers to loss of personal identity, often with the associated loss of memories of events (general amnesia). Here we report on the psychological assessment of a 54-year-old woman with loss of identity and memories of 33 years of her life attributed to dissociative fugue, along with a follow-up 11 years later. Significant levels of personal injury and stress preceded the onset of the amnesia. A detailed neuropsychological assessment was completed at a university psychology clinic, with a follow-up assessment there about 11 years later with an intent to determine whether changes in her cognitive status were associated with better recall of her life and with her emotional state. Psychomotor slowing and low scores on measures of attention and both verbal and visual memory were present initially, along with significant psychological distress associated with the diagnosis of posttraumatic stress disorder. Although memories of her life had not returned by follow-up, distress had abated and memory test scores had improved. The passage of time and a better emotional state did not lead to recovery of lost memories. Contrary to expectations, performance on tests of executive functions was good on both occasions. Multiple stressful events are attributed as having a role in maintaining the loss of memories.
Measures for Wheel Slippage and Sinkage Detection in Rough-Terrain Mobile Robots

Mobile robots are increasingly being used in high-risk, rough terrain situations, such as planetary exploration and military applications. Current control and localization algorithms are not well suited to rough terrain, since they generally do not consider the physical characteristics of the vehicle and of its environment. Poor attention has been devoted to the study of the dynamic ill-effects occurring at the wheel-terrain interface, such as slip and sinkage. These effects compromise odometry accuracy and traction performances leading to danger of entrapment with consequent mission failure. This paper describes methods for wheel slippage and sinkage detection aiming at improving vehicle mobility on highly challenging terrain. Novel measures for wheel slip detection are presented based on observing different sensor modalities implemented onboard and defining deterministic conditions for vehicle slippage. A vision-based algorithm for wheel sinkage estimation is also discussed based on edge detection strategy. Experimental results, obtained by a Mars rover-type robot operating in a rough-terrain environment, are presented. It is shown that these techniques are effective in detecting the dynamic effects due to wheel-terrain interaction and can lead to an efficient understanding of the vehicle physical behavior.Copyright © 2005 by ASME
Tolerating Delinquent Loads with Speculative Execution

With processor vendors pursuing multicore products, often at the expense of the complexity and aggressiveness of individual processors, we are motivated to explore ways that compilers can instead support more aggressive execution. In this paper we propose support for fine-grain compiler-based checkpointing that operates at the level of individual variables, potentially providing low-overhead software-only support for speculative execution. By exploiting this checkpointing support to improve the performance of sequential programs, we investigate the potential for using speculative execution to tolerate the latency of delinquent loads that frequently miss in the second-level (last level on-chip) cache. We propose both data and control speculation methods for hiding delinquent load latency. We develop a theoretical timing model for speculative execution that can yield up to 50% relative speedup. Our initial testing using synthetic benchmarks strongly supports this model.
Pip , a novel activator of phenazine biosynthesis in Pseudomonas chlororaphis 1 PCL 1391 2 Running title : a new regulator of phenazine synthesis in Pseudomonas 3 4

3 Present address: Crucell Holland B.V. , PO Box 2048, 2301 CA Leiden, The Netherlands 11 12 13 *Corresponding author. 14 Tel: +31 71 524 3974 15 Fax: +31 71 524 8702 16 E-mail address: girardg79@yahoo.com 17 AC CE PT ED Copyright © 2006, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved. J. Bacteriol. doi:10.1128/JB.00893-06 JB Accepts, published online ahead of print on 22 September 2006
Everything as a Service (XaaS) on the Cloud: Origins, Current and Future Trends

For several years now, scientists have been proposing numerous models for defining anything "as a service (aaS)", including discussions of products, processes, data & information management, and security as a service. In this paper, based on a thorough literature survey, we investigate the vast stream of the state of the art in Everything as a Service (XaaS). We then use this investigation to explore an integrated view of XaaS that will help propose approaches for migrating applications to the cloud and exposing them as services.
Therapeutic effects of minocycline on mild-to-moderate depression in HIV patients: a double-blind, placebo-controlled, randomized trial

Patients with the HIV infection are at high risk for developing depression. The aim of this study was to investigate the safety and efficacy of antidepressant effects of minocycline on HIV patients with depression. Forty-six HIV patients, with mild-to-moderate depression and a Hamilton Depression Rating Scale (HDRS) up to 18, participated in a parallel, randomized, double-blind, placebo-controlled trial and underwent 6 weeks of treatment with either minocycline (100 mg twice daily) or placebo in the same manner. Patients were assessed using HDRS at baseline and at weeks 3 and 6. The primary outcome measure was to evaluate the efficacy of minocycline in improving depressive symptoms. General linear model repeated measures showed significant effect for time×treatment interaction on the HDRS score during the trial course [F(2, 88)=7.50, P=0.001]. There was no significant difference between the two groups regarding adverse events. No serious adverse event was reported. The administration of 100 mg minocycline twice daily seems to be safe and effective in improving depressive symptoms in HIV/AIDS patients with mild-to-moderate depression.
Robust Analysis of Variance: Process Design and Quality Improvement

We discuss the use of robust Analysis Of Variance (ANOVA) techniques as applied to quality engineering. ANOVA is the cornerstone for uncovering the effects of design factors on performance. Our goal is to utilise methodologies that yield similar results to standard methods when the underlying assumptions are satisfied, but are also relatively unaffected by outliers (observations that are inconsistent with the general pattern in the data). We do this by utilising statistical software to implement robust ANOVA methods, which are no more difficult to perform than ordinary ANOVA. We study several examples to illustrate how using standard techniques can lead to misleading inferences about the process being examined, which are avoided when using a robust analysis. We further demonstrate that assessments of the importance of factors for quality design can be seriously compromised when utilising standard methods as opposed to robust methods.
Solving Checkers

AI has had notable success in building high-performance game-playing programs to complete against the best human players. However, the availability of fast and plentiful machines with large memories and disks creates the possibility of solving a game. This has been done before for simple or relatively small games. In this paper, we present new ideas and algorithms for solving the game of checkers. Checkers is a popular game of skill with a search space of 1020 possible positions. This paper reports on our first result. One of the most challenging checkers openings has been solved-the White Doctor opening is a draw. Solving roughly 50 more openings will result in the game-theoretic value of checkers being determined.
Modeling of the Reaction Mechanism of Enzymatic Radical C–C Coupling by Benzylsuccinate Synthase

Molecular modeling techniques and density functional theory calculations were performed to study the mechanism of enzymatic radical C–C coupling catalyzed by benzylsuccinate synthase (BSS). BSS has been identified as a glycyl radical enzyme that catalyzes the enantiospecific fumarate addition to toluene initiating its anaerobic metabolism in the denitrifying bacterium Thauera aromatica, and this reaction represents the general mechanism of toluene degradation in all known anaerobic degraders. In this work docking calculations, classical molecular dynamics (MD) simulations, and DFT+D2 cluster modeling was employed to address the following questions: (i) What mechanistic details of the BSS reaction yield the most probable molecular model? (ii) What is the molecular basis of enantiospecificity of BSS? (iii) Is the proposed mechanism consistent with experimental observations, such as an inversion of the stereochemistry of the benzylic protons, syn addition of toluene to fumarate, exclusive production of (R)-benzylsuccinate as a product and a kinetic isotope effect (KIE) ranging between 2 and 4? The quantum mechanics (QM) modeling confirms that the previously proposed hypothetical mechanism is the most probable among several variants considered, although C–H activation and not C–C coupling turns out to be the rate limiting step. The enantiospecificity of the enzyme seems to be enforced by a thermodynamic preference for binding of fumarate in the pro(R) orientation and reverse preference of benzyl radical attack on fumarate in pro(S) pathway which results with prohibitively high energy barrier of the radical quenching. Finally, the proposed mechanism agrees with most of the experimental observations, although the calculated intrinsic KIE from the model (6.5) is still higher than the experimentally observed values (4.0) which suggests that both C–H activation and radical quenching may jointly be involved in the kinetic control of the reaction.
Node mixing and Group Structure of Complex Software Networks

Large software projects are among most sophisticated human-made systems consisting of a network of interdependent parts. Past studies of software systems from the perspective of complex networks have already led to notable discoveries with different applications. Nevertheless, our comprehension of the structure of software networks remains to be only partial. We here investigate correlations or mixing between linked nodes and show that software networks reveal dichotomous node degree mixing similar to that recently observed in biological networks. We further show that software networks also reveal characteristic clustering profiles and mixing. Hence, node mixing in software networks significantly differs from that in, e.g., the Internet or social networks. We explain the observed mixing through the presence of groups of nodes with common linking pattern. More precisely, besides densely linked groups known as communities, software networks also consist of disconnected groups denoted modules, core/periphery structures and other. Moreover, groups coincide with the intrinsic properties of the underlying software projects, which promotes practical applications in software engineering.
Handbook for developing emotional and social intelligence : best practices, case studies, and strategies

Foreword by James M. Kouzes. Acknowledgments. Introduction. PART ONE: COACHING: WORKING WITH LEADERS AND OTHER INDIVIDUALS. Chapter One: Coaching with Emotional and Social Effectiveness (Marcia Hughes and James Bradford Terrell). Chapter Two: Developing High Achievers Through Emotional Intelligence: More Intelligent Than Emotional (Geetu Bharwaney). Chapter Three: Resonant Leadership for Results: An Emotional and Social Intelligence Program for Change in South Africa and Cambodia (Annie McKee, Frances Johnson, Eddy Mwelwa, and Suzanne Rotondo). Chapter Four: When Enhanced EI Is Associated with Leadership Derailment (Howard Book). Chapter Five: Advanced EQ-i(R) Interpretation Techniques: The Concepts of Drag, Balance, and Leverage (Rich Handley). Chapter Six: Emotional Intelligence, Stress, and Catastrophic Leadership Failure(TM) (Henry L. Thompson). PART TWO: TEAMS, ORGANIZATIONS, AND CULTURES: WORKING WITH SYSTEMS. Chapter Seven: Building Your Team's Conflict-Resolution Skills with Emotional and Social Intelligence (Marcia Hughes). Chapter Eight: From Individual to Organizational Emotional Intelligence (Steven J. Stein). Chapter Nine: Zeroing in on Star Performance (Diana Durek and Wendy Gordon). Chapter Ten: Emotional Intelligence: A View from South Africa (Jopie de Beer, Nicola Taylor, Renate Scherrer, and Christina van der Merwe). PART THREE: MULTIPLE PERSPECTIVES: COMBINING WISDOM. Chapter Eleven: Personality Type and Emotional Intelligence: Pragmatic Tools for the Effective Practitioner (Roger R. Pearman). Chapter Twelve: Using the EQ-i(R) and MSCEIT(R) in Tandem (Henry L. Thompson). Chapter Thirteen: Integrating Appreciative Inquiry and Emotional Intelligence for Optimal Coaching Results (G. Lee Salmon and James Bradford Terrell). Chapter Fourteen: A Critical Perspective on the "Social" Within Emotional Intelligence (Carina Fiedeldey-Van Dijk). PART FOUR: EDUCATION: LEADERS AND STUDENTS. Chapter Fifteen: A Sustainable, Skill-Based Approach to Building Emotionally Literate Schools (Marc A. Brackett, Janet Patti, Robin Stern, Susan E. Rivers, Nicole A. Elbertson, Christian Chisholm, and Peter Salovey). Chapter Sixteen: Developing Emotional, Social, and Cognitive Intelligence Competencies in Managers and Leaders in Educational Settings (Richard E. Boyatzis). Chapter Seventeen: Emotional Intelligence, Leadership, and the School Administrator (James D.A. Parker, Howard E. Stone, and Laura M. Wood). Conclusion. Index. About the Editors. Pfeiffer Publications Guide.
Gimbaled, high resolution, city-level, thermal Infrared mapping from an Airship platform

A pilot effort adapting a gimbaled Long-Wavelength InfraRed (LWIR) imaging system prototype to the U.S. Navy MZ-3A Airship for high resolution thermal mapping of Baltimore, Maryland, has been performed. Using gimbaled step-staring imaging technologies, the swath-width of a small format, 320 by 256 pixel, 30μm pitch, Quantum Well Infrared Photodetector (QWIP) camera utilizing a 50mm lens has been effectively tripled. QWIP data collected from an airship platform resulted in a 60cm Ground Sample Distance (GSD) high quality LWIR thermal image with a 500m swath-width. The aerial LWIR images collected by the gimbaled system are geospatially accurate and rapidly deliverable for GIS mapping applications.
Measuring Problem Behaviors in Young Children

Despite difficulties in measuring problem behaviors in toddlers and preschoolers, there is increased interest in the diagnosis and treatment of emotional and behavioral disorders in young children. One of the primary methods for assessing behavior problems involves having parents and other caretakers complete standardized behavior checklists. The Child Behavior Checklist/1½–5 (CBCL/1½–5; Achenbach & Rescorla, 2000) is commonly used to obtain parents’ ratings of the problem behaviors of young children. This study examined whether the items located on the CBCL/1½–5 provide reasonable indicators of the seven first-order behavioral dimensions purportedly measured by this instrument in a national sample of 2-year-old typically developing children. In addition, multigroup methods of confirmatory factor analysis were used to evaluate the invariance of these item loadings across gender, ethnicity, and socioeconomic status. Results support the presence of six factors that were reasonably invariant for boys and girls. Ethnic and socioeconomic group comparisons failed to reveal factorial invariance on all dimensions. These results are discussed in light of issues related to assessment, screening, and diagnosis of problem behavior in young children.
Inducible expression of Snail selectively increases paracellular ion permeability and differentially modulates tight junction proteins.

Constitutive expression of the transcription factor Snail was previously shown to trigger complete epithelial-mesenchymal transition (EMT). The aim of this study was to determine whether inducible expression of Snail could modify epithelial properties without eliciting full mesenchymal conversion. For this purpose, we expressed mouse Snail (mSnail) cDNA in Madin-Darby canine kidney (MDCK) cells under the control of a doxycycline-repressible transactivator. Inducible expression of Snail did not result in overt EMT but induced a number of phenotypic alterations of MDCK cells, the most significant of which was the absence of fluid-filled blisterlike structures called "domes. " To understand the mechanisms responsible for dome suppression, we assessed the effect of mSnail expression on epithelial barrier function. Although mSnail did not alter tight junction (TJ) organization and permeability to uncharged solutes, it markedly decreased transepithelial electrical resistance. In light of these findings, we evaluated the ability of MDCK cell monolayers to maintain ionic gradients and found that expression of mSnail selectively increases Na+ and Cl- permeability. Analysis of the expression of claudins, transmembrane proteins that regulate TJ ionic permeability, showed that mSnail induces a moderate decrease in claudin-2 and a substantial decrease in claudin-4 and -7 expression. Together, these results suggest that induction of mSnail selectively increases the ionic permeability of TJs by differentially modulating the expression of specific claudins.
Platelets, but not erythrocytes, significantly affect cytokine release and scaffold contraction in a provisional scaffold model

Platelets and erythrocytes are major components of wound provisional scaffolding. In this study, we hypothesized that the concentration of platelets and erythrocytes would significantly affect fibroblast‐mediated contraction of three‐dimensional scaffolds or the release of cytokines from the scaffold. To test this hypothesis, human anterior cruciate ligament fibroblasts were cultured in one of four scaffolds: a collagen matrix, a collagen‐fibrin matrix containing the same concentration of platelets as whole blood, a collagen‐fibrin matrix containing a high platelet concentration, and a collagen–fibrin matrix containing a high platelet concentration and red blood cells. Cytokine release from the four groups of gels and gel contraction were measured over a 10‐day period. The results of these assays supported greater cytokine release, fibroblast proliferation, and gel contraction in scaffolds with higher platelet concentration. In contrast, the addition of erythrocytes did not significantly stimulate or suppress scaffold contraction or growth factor release from the provisional scaffolds. We concluded that while platelet concentration can significantly impact cytokine release and scaffold retraction in a provisional scaffold, the inclusion of erythrocytes does not have a significant effect on these same behaviors. Therefore, while platelets may be an important regulator of repair processes after injury, it is less likely that erythrocytes have a similar function.