Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of AMD 3100 on Transmigration and Survival of Acute Myelogenous Leukemia Cells

AML blasts transmigrate in response to SDF-1α. AMD3100, a novel bicyclam molecule which inhibits SDF-1α/CXCR4 interactions, inhibited the transmigration of AML blasts and inhibited outgrowth of leukemia colony forming units. AMD3100 did not abrogate stromamediated protection from cytarabine mediated apoptosis, except in the case of one promyelocytic leukemic sample tested, and it did not influence adhesion of blasts to endothelial monolayers. When AML blasts were pretreated with AMD3100, the positive effects of SDF-1α on NOD-SCID engraftment were diminished. This work confirms that AML is influenced by the SDF-1α/CXCR4 axis and Corresponding Author: Jane Liesveld, MD. , Box 704; 601 Elmwood Ave, Rochester, NY 14642, Phone: 011-585-275-4099 FAX: 011-585-273-1042, e-mail: jane_liesveld@urmc.rochester. edu. Conflicts of interest: None. Gary Bridger is an employee of AnorMED, Inc. Author contributions: Jane Liesveld—Manuscript preparation and experimental design Jeremy Bechelli—Performed experiments Chaohui Lu—Performed Western blots Karen Rosell—Performed experiments and prepared figures Gary Bridger—Supplied compound and overall guidance Gordon Phillips—Manuscript aid Camille Abboud—Experimental design and manuscript aid Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. NIH Public Access Author Manuscript Leuk Res. Author manuscript; available in PMC 2008 November 1. Published in final edited form as: Leuk Res. 2007 November ; 31(11): 1553–1563. N IH PA Athor M anscript N IH PA Athor M anscript N IH PA Athor M anscript demonstrates that disruption of this axis by the bicyclam AMD3100 can influence AML microenvironmental interactions.
Application of 11 STR markers for the evaluation of genetic variation in sheep.

There were identified 101 alleles in 11 microsatellites loci with a mean of 6.87 alleles per locus. The range of HO and HE was from 0.2903 to 0.8710 and 0.3307 to 0.8370, respectively. All the markers were highly polymorphic. PIC values for each marker were high and exceeded 0.5 except for INRA172 locus in Merino (PIC=0.3171) and ETH152 locus in Olkuska sheep (PIC=0.4781). The highest polymorphism was observed in INRA63 of Merino sheep where PIC and Ho were 0.8710 and 0.8181, respectively. The estimated coefficient of genetic distance, calculated based on all markers, was low and ranged from DN=0.0836 between Merino and Wielkopolska to DN=0.2187 between Merino and Olkuska sheep. It can be concluded that each breed became genetically distinct.
odeling particle-size distribution dynamics in a shear-induced reakage process with an improved breakage kernel : mportance of the internal bonds

An improved particle breakage kernel has been developed. Ratio of the bonding forces and shear forces regulates the breakage probability. Simulation results for the PSD evolution compared well with the experimental results. Hydrophobic bonding is stronger than van der Waals’ forces against shear breakage. As the fractal dimension increases, the aggregates become stronger to shear breakage. g r a p h i c a l a b s t r a c t
Crystal Structure of 4-Hydroxyphenylpyruvate Dioxygenase in Complex with Substrate Reveals a New Starting Point for Herbicide Discovery

4-Hydroxyphenylpyruvate dioxygenase (HPPD) is a promising target for drug and pesticide discovery. The unknown binding mode of substrate is still a big challenge for the understanding of enzymatic reaction mechanism and novel HPPD inhibitor design. Herein, we determined the first crystal structure of Arabidopsis thaliana HPPD (AtHPPD) in complex with its natural substrate (HPPA) at a resolution of 2.80 Å. Then, combination of hybrid quantum mechanics/molecular mechanics (QM/MM) calculations confirmed that HPPA takes keto rather than enol form inside the HPPD active pocket. Subsequent site-directed mutagenesis and kinetic analysis further showed that residues (Phe424, Asn423, Glu394, Gln307, Asn282, and Ser267) played important roles in substrate binding and catalytic cycle. Structural comparison between HPPA-AtHPPD and holo-AtHPPD revealed that Gln293 underwent a remarkable rotation upon the HPPA binding and formed H-bond network of Ser267-Asn282-Gln307-Gln293, resulting in the transformation of HPPD from an inactive state to active state. Finally, taking the conformation change of Gln293 as a target, we proposed a new strategy of blocking the transformation of HPPD from inactive state to active state to design a novel inhibitor with Ki value of 24.10 nM towards AtHPPD. The inhibitor has entered into industry development as the first selective herbicide used for the weed control in sorghum field. The crystal structure of AtHPPD in complex with the inhibitor (2.40 Å) confirmed the rationality of the design strategy. We believe that the present work provides a new starting point for the understanding of enzymatic reaction mechanism and the design of next generation HPPD inhibitors.
Cortical Activity Mediating Motor Representations in Stroke Survivors

PAGE Stroke survivors suffering from upper extremity hemiparesis experience impaired motor function in one of their limbs; however, research indicates that these individuals are still able to accurately imagine engaging in motor actions that they are no longer capable of performing. In the present study, event-related potentials (ERPs) were used to examine the pattern of cortical activation mediating this effect. Five young controls, five older controls, and five individuals with hemiparesis were assessed as they viewed photographs of hands presented in various orientations and judged whether a left or a right hand was presented. ERP waveforms for both groups of control participants replicated the results of previous mental rotation studies with regard to the em ergence of a P1-N1-P2 complex, a P3 component, and a late negative complex (LNC). However, visual inspection of the ERPs for the stroke survivor group indicates that these individuals do not generate an LNC, suggesting that they used a solution strategy that was qualitatively different at the cortical level than that used by healthy participants. This LNC flattening in the stroke participants was, however, not significantly different from the control participants—a finding that is attributed to low sample size and lack of statistical power.
INTERACTION BETWEEN FLOW-DRIVEN AND RAINFALL-DRIVEN SOIL EROSION PROCESSES USING TWO CONTRASTING SOIL TYPES

The effect of interaction between erosion processes has not been studied in detail, so that the existing available literature, which directly addresses the interaction between erosion processes, is very limited. Numerous laboratory experiments have shown that the rate of erosion in a rain-impacted flow is greater than for unimpacted flows of similar depth and velocity. In erosion studies and in modeling the processes involved it is questionable whether it is justifiable to simply add the contribution of each separate erosion processes to give the total sediment concentration, or whether there may be some form of interaction between the two types of erosion process, positive or negative. Current modeling methods only indirectly have implication for the magnitude of such interaction. The experiments reported in this paper were carried out in the 5.8 by 1.0 m Griffith University Tilting Flume Simulated Rainfall (GUTSR) facility, using two different soil types. It was found that sediment concentration due to flowdriven and rainfall-driven erosion processes, or combination of both processes, depends on soil type and slope steepness. It was found that at low slopes rain-impacted flow can erode soil more rapidly than comparable flow without raindrop impact. At steady state or apparent equilibrium conditions there was a positive or synergistic interaction between rainfall and flow-driven erosion for the silty soil with a finer soil size characteristic than the coarser loamy sand, where the interaction was negative. Additional
A Survey on Interdependent Privacy

The privacy of individuals does not only depend on their own actions and data but may also be affected by the privacy decisions and by the data shared by other individuals. This interdependence is an essential aspect of privacy and ignoring it can lead to serious privacy violations. In this survey, we summarize and analyze research on interdependent privacy risks and on the associated (cooperative and non-cooperative) solutions. We also demonstrate that interdependent privacy has been studied in isolation in different research communities. By doing so, we systematize knowledge on interdependent privacy research and provide insights on how this research should be conducted and which challenges it should address.
Aircraft Noise-Aeroacoustics : Paper ICA 2016-443 A systematic review of semi-empirical acoustic liner models under grazing flow and high SPL

During the past decades several semi-empirical models have been proposed to predict the acoustic impedance of aircraft turbofan liners based on its geometry and operating conditions. Whereas viscous, radiation and backing effects result from analytical solutions, non-linear effects are often based on curve fitting to experimental data. The problem arises when these equations are applied to different geometries and operating conditions than those used in the fiiting procedures since poor agreement between the models can be seen in the literature. Much effort has been made to correct terms which are almost negligible especially when non-linear effects i.e. grazing flow and high sound pressure level are the dominant effects. These terms can easily underor overpredict the impedance as a consequence of simplistic assumptions or overfitting to the available experimental data. A systematic review of semi-empirical models is done to identify which terms are dominating the impedance estimation (where efforts should be concentrated) at specific conditions. The review also compares the experimental techniques adopted in each study to obtain the impedance values used in the curve fitting procedures, which can have a considerable impact over the resulting semi-empirical models.
Discrete modeling of sculptured surface machining for robust automatic feedrate selection

Traditional feedrate selection techniques currently used in three and five-axis CNC machining reduces milling efficiency. Manually estimated feedrates tend to be conservative and constant, greatly increasing mill time. The goal of this research is to develop robust techniques and software tools for automatically generating optimized feedrates for use on three and five-axis CNC mills, to both simplify the feed selection process and to increase the safety and efficiency of the milling operation through milling process simulation. The simulation software estimates milling force vectors for each tool move, and identifies a feedrate that maintains a desired peak force. The desired cutting force value may be selected to prevent cutter breakage, maintain part tolerance, or meet some other criteria. Other conditions are also considered, such as maximum allowable chip thickness and machine constraints. This allows for the generation of variable feedrates that are optimized for each tool move. The software consists of three distinct portions: a discrete mechanistic model, a discrete geometric model, and a CNC machine model. The mechanistic model estimates cutting forces as a function of cut geometry, cutter/ stock relative velocity, and material constants. The geometric model keeps track of the changing in-process stock geometry and provides the cut geometry parameters required by the mechanistic model. The CNC machine model calculates the cutter/stock relative velocity based on feed inputs, machine kinematics, and controller behavior. A feed value is calculated in an iterative manner for each tool move based on the force estimates. The results of this research have produced accurate force estimates during sculptured surface machining, and have also demonstrated that this approach at automatic feedrate selection is feasible. Testing of feedrate selection has included the five-axis milling of production turbomachinery in an industrial environment. An average improvement in efficiency of 20% has resulted from the use of the optimized feeds.
Characterization and evaluation of kohlrabi ( Brassica oleracea L . gongylodes ) and kohlrabi-based ovo-vegetarian diets as new food recipes

HE APPLICABILITY of kohlrabi for producing ready-to-use . and ready-to-eat ovo-vegetarian diets was studied. For this purpose, two kohlrabi cultivars were characterized for their agriculture yield, vegetative parameters, proximate chemical composition, phytochemicals, and their antioxidant activity. Moreover, the phenolic compounds in different parts of kohlrabies were identified and quantified. Furthermore, six ovo-vegetarian diets were formulated by incorporating kohlrabi with different protein sources such as faba bean, chickpea, and defatted soy bean flour. Subsequently, the proximate chemical composition, minerals content, phytochemicals and their antioxidant activity as well as the sensory evaluation of the prepared diets were carried out.
POTENTIALITY OF SEWAGE SLUDGE ASH AS MINERAL ADDITIVE IN CEMENT MORTAR AND HIGH PERFORMANCE CONCRETE

In this paper it is evaluated the potentiality of using sewage sludge ash as mineral additive in cement mortars and high performance concrete. To characterize the sewage sludge chemical, physical, mineralogical and microbiological analyses were carried out. Termogravimetric analyses and differential thermal analyses methods were used in order to determine the optimum burning temperature of the sewage sludge. X-ray fluorescence spectroscopy method was used to determine the gases emitted to the atmosphere during the burning process. The sewage sludge ash burned under controlled conditions was characterized chemically, physically, mineralogically and environmentally through leaching tests. According to the Brazilian standards the sewage sludge ash was classified as a non-inert material. Mortars and concretes of normal and high performance containing 5 to 30% of sewage sludge ash as cement replacement were produced and characterized physically and mechanically. Sorptivity and water absorption capacity tests were carried out on uniformly prepared specimens in order to provide information concerning quality control and the determination of which mixtures are likely to have longer service life. Leaching tests were carried out in concrete samples to evaluate the immobilization of the pollutants originally detected in the sewage sludge ash. The results of the study indicate that high strength mortar and concretes can be obtained using sewage sludge ash as mineral additive and that the concrete matrix is adequate to immobilize the pollutants originally present in the sewage sludge ash.
Diet study of Antarctic toothfish caught in the east Antarctic based on stomach content , fatty acid and stable isotope analyses

To identify the major prey items for Antarctic toothfish (Dissostichus mawsoni) in the small-scale research unit (SSRU) 5841C in the east Antarctic, their stomach contents, fatty acid (FA) compositions and stable carbon and nitrogen isotope ratios were determined and compared with those of species caught as by-catch and collected from toothfish stomachs. Stomach content analyses showed that Antarctic toothfish fed primarily on fish and to a lesser extent squid. FA profiles in muscle tissues of Antarctic toothfish were
Spontaneous vs. Policy-Driven: The Origin and Evolution of the Biotechnology Cluster The Case of Bay Area in the United States and Zhangjiang Hi-Tech Park in China

Biotechnology industry is at the heart of the fast-growing knowledge-based economy. One of the distinguishing characteristics of biotech industry is clustering. A cluster, like an organism, will experience origin, growth, and decline/reorientation. Our study constructs a framework to analyze biotech clusters with different origins, “spontaneous and policy-driven”, through their life cycles. We use Bay Area in the United States and Shanghai Zhangjiang Hi-Tech Park in China as two cases to represent spontaneous and policy-driven biotech clusters. This study fills the gap of previous literature by providing a side-by-side comparison between two types of biotech clusters in the evolutionary process. Drawing from two cases, the success factors both biotech clusters own are human capital and financial capital, but the underlying forces for formatting and providing these factors are different. The fundamental difference between two cases lays on entrepreneurship, social capital and network patterns. Moreover, social capital and the accompanying networks are main factors shape a cluster’s configuration. It is essential to know the dynamics and essence of different types of clusters for both policy makers and academic researchers.
An Empirical Analysis of the Relationship Between Perceived Organizational Support and Organizational Commitment in the NSW Police Service

An embryonic empirical literature on Australian policing has established that commitment levels of police officers are comparatively low. This paper seeks to add to this literature by applying Allen and Meyer’s (1990) three-component model of occupational commitment, in conjunction with the Eisenberger et al. (1986) model of perceived organizational support, to a sample of 351 sworn police officers and student officers. The results seem to confirm earlier Australian findings since occupational commitment amongst the sample of respondents was also found to be low. It is suggested that additional skills training and tuition subsidies for officers could enhance occupational commitment.
Modeling and simulation of relief influence... MODELING AND SIMULATION OF RELIEF INFLUENCE ON EUCALYPTUS FORESTS: INTERACTION BETWEEN SOLAR IRRADIANCE AND PRODUCTIVITY1

1 Received on 02.09. 2014 accepted for publication on 01.12. 2015. 2 Fibria Celulose, Centro de Tecnologia. Jacareí, SP Brasil. E-mail: <yhasmin.rody@fibria.com. br>. 3 Universidade Federal de Viçosa, Departamento de Engenharia Agrícola, Viçosa, MG Brasil. E-mail: <ribeiro@ufv.br>. 4 Universidade Federal de Viçosa, Programa de Pós-Graduação em Meteorologia Agrícola, Viçosa, MG, Brasil. E-mail: <alinesantolive@yahoo.com. br>. 5 Celulose Nipo Brasileira S. A, Belo Oriente, MG Brasil. E-mail: <fernando.leite@cenibra.com. br>. *Corresponding author.
The Effects of a Word Prediction Program on the Number of Words Written by a Learner with Disabilities

ii Dedication . iii Acknowledgements . iv Vita . vi List of Tables . x List of Figures . xi Chapter 1: Introduction . 1 Outline of the Thesis . 3 Literature Review.4 Statement of Problem . 15 Statement of Purpose . 15 Research Hypotheses . 15 Assumptions . 16 Delimitation . 16 Rationale for the Research . 17 Chapter 2: Method . 19 Participant . 19
Chronic Disease Management: How IT and Analytics Create Healthcare Value Through the Temporal Displacement of Care

The treatment of chronic diseases consumes 86% of U.S. healthcare costs. While healthcare organizations have traditionally focused on treating the complications of chronic diseases, advances in information technology (IT) and analytics can help clinicians and patients manage and slow the progression of chronic diseases to result in higher quality of life for patients and lower healthcare costs. We build on prior research to introduce the notion of temporal displacement of care (TDC), in which IT and analytics create healthcare value by displacing the time at which providers and patients make interventions to improve healthcare outcomes and reduce costs. We propose that healthcare value is created by strategic actions taken at specific points-in-time during the treatment process. Our theoretical development identifies TDC mechanisms through which IT and analytics displace later high cost interventions in favor of earlier preventative procedures. We test our hypotheses using four years of data on 45,000 cardio-metabolic patients from the U.S. state of Vermont, which implemented a Patient-Centered Medical Home (PCMH) program. Our study includes four cohorts with increasing levels of IT and analytics use: (i) non-PCMH practices, (ii) PCMH practices with basic IT systems installed, (iii) practices that completed data quality sprints (DQS) to increase use of IT systems, and (iv) practices that use analytics through the Vermont Healthcare Information Exchange (VHIE). Our results provide insights into how TDC effects develop over time. In Year 1 after implementation, the DQS cohort demonstrates a marked increase in the use of preventative procedures such as eye exams and neuropathy screenings, the increase becomes more pronounced in Years 2 and 3, and the increase is even greater for the VHIE cohort. As the use of preventative procedures increases, emergency department utilization decreases, with a more pronounced decrease for the VHIE cohort than the DQS cohort. By Year 2, the DQS and VHIE cohorts experience a decrease in total healthcare costs, with a greater decrease for the VHIE cohort than the DQS cohort. By Year 3, the healthcare outcomes indicator of Hemoglobin A1c (HbA1c) level is statistically significantly lower, with a greater decrease for the VHIE cohort than the DQS cohort. The increased use of low-intervention healthcare treatments earlier in the process leads to a decrease in overall healthcare costs, which then leads to an improvement in healthcare indicators.
Regulating Bubbles Away ? Experiment-Based Evidence of Price Limits and Trading Restrictions in Asset Markets with Deterministic and Stochastic Fundamental Values

We examine how traders react to two prominent stock market regulations. Under a constant fundamental value (FV) process, price limits and trading restrictions abate bubbles when traders are inexperienced, but inhibit price adjustments when traders gain experience. Under a Markov-process FV, these regulations always increase mispricing. Traders underreact to market news when the FV increases and do not react when the FV decreases. We find evidence of momentum trading and the delayed price discovery hypothesis of price limits. These findings emphasize stress-testing asset market interventions and suggest that price limits and trading restrictions do more harm than good.
Key recovery attacks on the Legendre PRFs within the birthday bound

We show that Legendre PRF, recently suggested as an MPC-friendly primitive in a prime field Zp, admits key recovery attacks of complexity O( √ p) rather than previously assumed O(p). We also demonstrate new attacks on high-degree versions of this PRF, improving on the previous results by Russell and Shparlinski.
Left or Right?: The Competing Politics of Europe’s Radical Party Families

Both radical right and left parties are on the rise across Europe. Previous research has shown similarities between voters of radical parties. However, prior analyses have focused on voters of one radical party, while ignoring the other. In turn, differences between radical party voters are inferred rather than proven through qualitative evidence. In this study, I examine support for radical right and left parties across the same years and nine European countries, in order to understand why voters prone to radicalism support either the left or right. I find that while voters of both parties share commonalities, they differ in their main motivations. Radical right supporters can be characterized as individual’s upset with their current socioeconomic status and immigration. In contrast, supporters of the radical left tend to be driven by a strong ideological perspective and less so by issue grievances.