bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modification to the flow properties of repository cement as a result of carbonation
Authors: Purser G. , Milodowski A. E. , Noy D. J. , Rochelle C. A. , Harrington J. F. , Butcher A. , Wagner D. 
Published: December 2014

Abstract

A UK repository concept currently under consideration for the disposal of intermediate-level radioactive waste and some low-level waste not suitable for surface disposal involves using large quantities of cementitious materials for construction, grouting, waste containers, waste isolation matrix and buffer/backfill. CO
2
generated from the degradation of organic material in the waste will result in cement carbonation and associated mineralogical changes. Hydraulic and gas permeability tests were performed on Nirex Reference Vault Backfill (NRVB) cement at 40 °C and either 4 or 8 MPa. Carbonation reactions using CO
2
gas halved the permeability of the NRVB under simulated repository conditions. A greater decrease in permeability (by three orders of magnitude) was found during carbonation using dissolved CO
2
. Mineralogical changes were found to occur throughout the cement as a result of the reaction with CO
2
. However, a narrow zone along the leading edge of a migrating reaction front was associated with the greatest decrease in porosity. Fluid pressures increased slightly due to permeability reductions but fluid flow still continued (albeit at a lower rate) preventing the build-up of overly high pressures. Overall, the observed reductions in permeability could be beneficial in that they may help reduce the potential for fluid flow and radionuclide migration. However, continued carbonation could lead to potential issues with regards to gas pressure build-up.
Aspirin, NSAIDs, and Risk of Prostate Cancer: Results from the REDUCE Study
Authors: Vidal Adriana C. , Howard Lauren E. , Moreira Daniel M. , Castro-Santamaria Ramiro , Andriole Gerald L. , Freedland Stephen J. 
Published: December 2014

AbstractPurpose: A recent meta-analysis showed that aspirin was associated with reduced prostate cancer risk. As anti-inflammatory medications lower PSA levels, whether these findings reflect reduced prostate cancer detection or lower prostate cancer risk is unknown. We tested the association between aspirin and nonaspirin NSAID use on prostate cancer diagnosis in REDUCE, where all men received biopsies at 2 and 4 years largely independent of PSA. REDUCE tested dutasteride for prostate cancer risk reduction in men with a PSA of 2.5 to 10.0 ng/mL and a negative prestudy biopsy.Experimental Design: We examined the association between aspirin, NSAIDs, or both and total, low-grade (Gleason &lt; 7), or high-grade (Gleason ≥ 7) prostate cancer versus no prostate cancer using multinomial logistic regression among 6,390 men who underwent ≥1 on-study biopsy. Multivariable analyses were adjusted for age, race, geographic region, PSA, prostate volume, digital rectal examination, body mass index, treatment arm, smoking, alcohol, statins, hypertension, diabetes, and cardiovascular disease.Results: Overall, 3,169 men (50%) were nonusers, 1,368 (21%) used aspirin, 1,176 (18%) used NSAIDs, and 677 (11%) used both. In unadjusted models, aspirin was associated with reduced prostate cancer risk (OR = 0.85, P = 0.036). In multivariable analyses, aspirin was associated with reduced total prostate cancer risk (OR = 0.81, P = 0.015). Use of NSAIDs or NSAIDs and aspirin was not associated with total, low-grade, or high-grade prostate cancer, though all ORs were &lt;1 (all P ≥ 0.08). Therefore, we created a dichotomous variable of aspirin and/or NSAID users versus nonusers. On multivariable analysis, the use of aspirin and/or NSAIDs was significantly associated with decreased total (OR = 0.87, P = 0.030) and high-grade (OR = 0.80, P = 0.040), but not with low-grade, prostate cancer risk (OR = 0.90, P = 0.15). Results were similar in placebo and dutasteride arms.Conclusions: Among men with a negative biopsy, aspirin and/or NSAID use was associated with decreased prostate cancer risk. Additional studies are warranted. Clin Cancer Res; 21(4); 756–62. ©2014 AACR.
A Preclinical Evaluation of SKLB261, a Multikinase Inhibitor of EGFR/Src/VEGFR2, as a Therapeutic Agent against Pancreatic Cancer
Authors: Pan Youli , Zheng Mingwu , Zhong Lei , Yang Jiao , Zhou Shu , Qin Ya , Xiang Rong , Chen Yuzong , Yang Sheng-Yong 
Published: December 2014

Abstract
The clinical prognosis of pancreatic cancer remains rather disappointing despite tremendous efforts in exploring medical treatments in the past two decades. Development of more effective treatment strategies is still desperately needed to improve outcomes in patients with pancreatic cancer. SKLB261 is a multikinase inhibitor obtained recently through a lead optimization. In this investigation, we shall evaluate its anti–pancreatic cancer effects both in vitro and in vivo. SKLB261 is a multikinase inhibitor potently inhibiting EGFR, Src, and VEGFR2 kinases. It could significantly inhibit cell proliferation, migration, and invasion, and induce apoptosis in cellular assays of human pancreatic cancer cells that are sensitive or resistant to dasatinib and/or gemcitabine. Western blot analysis showed that SKLB261 inhibited the activation of EGFR and Src kinases as well as their downstream signaling proteins, including FAK, ERK, and STAT3. SKLB261 also showed potent antiangiogenic effects in transgenic zebrafish models. In vivo, SKLB261 displayed more potent antitumor activities than dasatinib, gemcitabine, or erlotinib in pancreatic cancer xenografts, including BxPC-3, PANC-1, AsPC-1, and HPAC. Furthermore, mice receiving SKLB261 therapy showed significant survival advantage compared with vehicle-treated and gemcitabine-treated groups in an experimental metastasis model of pancreatic cancer. These data, together with the good pharmacokinetic properties and low toxicity of this compound, provide a rationale for the ongoing clinical evaluation of SKLB261 in the treatment of pancreatic cancer. Mol Cancer Ther; 14(2); 407–18. ©2014 AACR.
HAb18G/CD147 Promotes Radioresistance in Hepatocellular Carcinoma Cells: A Potential Role for Integrin β1 Signaling
Authors: Wu Jiao , Li Yong , Dang Ya-Zheng , Gao Hong-Xiang , Jiang Jian-Li , Chen Zhi-Nan 
Published: December 2014

Abstract
Radiotherapy has played a limited role in the treatment of hepatocellular carcinoma (HCC) due to the risk of tumor radioresistance. A previous study in our laboratory confirmed that CD147 interacts with integrin β1 and plays an important role in modulating the malignant properties of HCC cells. In this study, we further evaluated the role of CD147 in the radioresistance of HCC and as a potential target for improving radiosensitivity. Upon irradiation, the colony formation, apoptosis, cell-cycle distribution, migration, and invasion of SMMC-7721, CD147-knockout SMMC-7721, HepG2, and CD147-knockdown HepG2 cells were determined. A nude mouse xenograft model and a metastatic model of HCC were used to detect the role of CD147 in radioresistance in vivo. Deletion of HAb18G/CD147 significantly enhanced the radiosensitivity of SMMC-7721 and HepG2 cells, and knocking out HAb18G/CD147 in SMMC-7721 cells attenuated irradiation-enhanced migration and invasion. The knockout and antibody blockade of CD147 decreased the tumor growth and metastatic potentials of HCC cells under irradiation. CD147-deleted SMMC-7721 cells showed diminished levels of calpain, cleaved talin, active integrin β1, and decreased p-FAK (Tyr397) and p-Akt (Ser473) levels. FAK and PI3K inhibitors, as well as integrin β1 antibodies, increased the radiation-induced apoptosis of SMMC-7721 cells. Our data provide evidence for CD147 as an important determinant of radioresistance via the regulation of integrin β1 signaling. Inhibition of the HAb18G/CD147 integrin interaction may improve the efficiency of radiosensitivity and provide a potential new approach for HCC therapy. Mol Cancer Ther; 14(2); 553–63. ©2014 AACR.
Preclinical Efficacy for AKT Targeting in Clear Cell Carcinoma of the Ovary
Authors: Sasano Tomoyuki , Mabuchi Seiji , Kuroda Hiromasa , Kawano Mahiru , Matsumoto Yuri , Takahashi Ryoko , Hisamatsu Takeshi , Sawada Kenjiro , Hashimoto Kae , Isobe Aki , Testa Joseph R. , Kimura Tadashi 
Published: December 2014

Abstract
The aim of this study was to determine the role of AKT as a therapeutic target in ovarian clear cell carcinoma (CCC), an aggressive, chemoresistant histologic subtype of ovarian cancer. AKT activation was assessed by immunohistochemistry (IHC) using human tissue microarrays of primary ovarian cancers, composed of both CCC and serous adenocarcinoma (SAC). The growth-inhibitory effect of AKT-specific targeting by the small-molecule inhibitor, perifosine, was examined using ovarian CCC cell lines in vitro and in vivo. Finally, the activity of perifosine was examined using in CCC-derived tumors that had acquired resistance to anti-VEGF or chemotherapeutics such as bevacizumab or cisplatin, respectively. Interestingly, AKT was frequently activated both in early-stage and advanced-stage CCCs. Treatment of CCC cells with perifosine attenuated the activity of AKT–mTORC1 signaling, inhibited proliferation, and induced apoptosis. The effect of perifosine was more profound under conditions of high AKT activity compared with low AKT activity. Increased AKT activation and enhanced sensitivity to perifosine were observed in the context of cisplatin-resistant CCC. Treatment with perifosine concurrently with cisplatin significantly enhanced the antitumor effect of cisplatin. Moreover, perifosine showed significant antitumor activity in CCC-derived tumors that had acquired resistance to bevacizumab or cisplatin. Collectively, these data reveal that AKT is frequently activated in ovarian CCCs and is a promising therapeutic target in aggressive forms of ovarian cancer.
Implications: AKT-targeted therapy has value in a first-line setting as well as a second-line treatment for recurrent disease developing after platinum-based chemotherapy or bevacizumab treatment. Mol Cancer Res; 13(4); 795–806. ©2014 AACR.
Spatial and Time-Course Thermodynamics During Pulmonary Vein Isolation Using the Second-Generation Cryoballoon in a Canine In Vivo Model
Authors: Takami Mitsuru , Misiri Juna , Lehmann H. Immo , Parker Kay D. , Johnson Susan B. , Sarmiento Ray I. , Packer Douglas L. 
Published: December 2014

Background—
Thermodynamics in the left atrium–pulmonary vein (PV) junction, phrenic nerve, and esophagus during PV isolation (PVI) using the second-generation cryoballoon are not known.

Methods and Results—

Twenty dogs underwent PVI using second-generation cryoballoon. Ablations were performed for ≤2 deliveries based on PVI without a bonus freeze. Inner balloon, balloon surface, and tissue temperatures were monitored during cryoablation. The tissue thermocouples were placed on the epicardial surface of the left atrium–PV junction, as well as on the phrenic nerve and within the esophagus. A total of 259 cryoballoon and 229 tissue tissue thermocouples profiles during 53 cryoablations of 40 PVs were analyzed. Acutely, PVI was achieved in 36 of 40 PVs (90%). Conductive tissue cooling spread radially from the balloon–left atrium–PV contact point. The lowest tissue temperatures were dependent on the distance of the tissue thermocouples to the balloon surface (
r
=0.85;
P
<0.001). In addition, blood flow leaks around the balloon had a warming effect on the balloon and tissue temperature profiles. Chronic isolation (mean, 48±16 days) was achieved in 27 of 36 PVs (75%). In 8 of 9 acutely isolated but with chronic reconnection PVs, the blood flow leak location was concordant with chronic reconnection gap. Although only 1 esophageal ulcerated lesion was observed, neither phrenic nerve palsy nor severe PV stenosis was seen in any dogs.

Conclusions—
Variance in tissue thermodynamics during cryothermal ablation depends on the distance from balloon and peri-balloon blood flow leaks. This information may be useful for successful PVI without severe complications.
Energy Flux into Internal Lee Waves: Sensitivity to Future Climate Changes Using Linear Theory and a Climate Model
Authors: Melet Angélique , Hallberg Robert , Adcroft Alistair , Nikurashin Maxim , Legg Sonya 
Published: December 2014

Abstract
Internal lee waves generated by geostrophic flows over rough topography are thought to be a significant energy sink for eddies and energy source for deep ocean mixing. The sensitivity of the energy flux into lee waves from preindustrial, present, and possible future climate conditions is explored in this study using linear theory. The bottom stratification and geostrophic velocity fields needed for the calculation of the energy flux into lee waves are provided by Geophysical Fluid Dynamics Laboratory’s global coupled ocean–ice–atmosphere model, CM2G. The unresolved mesoscale eddy energy is parameterized as a function of the large-scale available potential energy. Simulations using historical and representative concentration pathway (RCP) scenarios were performed over the 1861–2200 period. The diagnostics herein suggest a decrease of the global energy flux into lee waves on the order of 20% from preindustrial to future climate conditions under the RCP8.5 scenario. In the Southern Ocean, the energy flux into lee waves exhibits a clear annual cycle with maximum values in austral winter. The long-term decrease of the global energy flux into lee waves and the annual cycle of the energy flux in the Southern Ocean are mostly due to changes in bottom velocity.
Isohaline Salinity Budget of the North Atlantic Salinity Maximum
Authors: Bryan Frank , Bachman Scott 
Published: December 2014

AbstractIn this study, the salinity budget of the North Atlantic subtropical salinity maximum region for control volumes bounded by isohaline surfaces is analyzed. The authors provide closed budgets based on output from a high-resolution numerical simulation and partial budgets based on analyses of observational climatologies of hydrography and surface fluxes. With this choice of control volume, advection is eliminated from the instantaneous volume-integrated salt budget, and time-mean advection is eliminated from the budget evaluated from time-averaged data. In this way, the role of irreversible mixing processes in the maintenance and variability of the salinity maximum are more readily revealed. By carrying out the analysis with both near-instantaneous and time-averaged model output, the role of mesoscale eddies in stirring and mixing for this water mass is determined. This study finds that the small-scale mixing acting on enhanced gradients generated by the mesoscale eddies is approximately equal to that acting on the large-scale gradients estimated from climatological-mean conditions. The isohaline salinity budget can be related to water mass transformation rates associated with surface forcing and mixing processes in a straightforward manner. The authors find that the surface net evaporation in the North Atlantic salinity maximum region accounts for a transformation of 7 Sverdrups (Sv; 1 Sv ≡ 106 m3 s−1) of water across the 37-psu isohaline outcrop into the salinity maximum in the simulation, whereas the estimate based on climatological observations is 9 to 10 Sv.
Numerical Simulation of Terrestrial Radiation over a Snow Cover
Authors: Ducharme P. , Houdayer A. , Choquette Y. , Kapfer B. , Martin J. P. 
Published: December 2014

AbstractThe intensity of terrestrial gamma radiation is a function of a number of parameters: emissivity and spatial distribution of the radioactive material in the soil, snow/water cover above ground, soil moisture content, type, and height above ground of the detector. Thus, the conversion of gamma measurements into reliable information must be based on a solid knowledge of the behavior of the gamma detector under different conditions. Such a detector, using a cylindrical NaI(Tl) crystal, was developed to remotely and automatically provide information on snow water equivalent (SWE) and soil moisture content (M). It became rapidly obvious that the behavior of the detector [gamma monitor (GMON)] over an infinite source could not be exactly reproduced in a laboratory. Therefore, a relatively simple model to simulate the behavior of GMON and to establish the relevant data analysis algorithms was conceived. This paper presents the basic assumptions for developing the model, the resulting algorithms, a comparison with field measurements, and some useful information on how GMON reacts to various field conditions.
Safety of Outpatient Airway Dilation for Adult Laryngotracheal Stenosis
Authors: Hsu Yen-Bin , Damrose Edward J. 
Published: December 2014

Objectives: To evaluate the safety of outpatient airway dilation for adult patients with subglottic or tracheal stenosis. Methods: The records of patients treated with airway dilation between October 2003 and September 2013 were reviewed. Outcomes of patients who underwent dilation as inpatients versus outpatients were compared. Emergency room visits, readmissions, and 3 or more primary care physician visits within 30 days postoperatively were specifically evaluated. Postoperative hemorrhage, airway edema, recurrent laryngeal nerve paralysis, reintubation, tracheostomy, tracheal rupture, pneumomediastinum, pneumothorax, acute respiratory distress, or death were also reviewed. Results: One hundred fourteen dilations performed in 53 patients with airway stenosis were included. Outpatient dilation was performed in 93 (82%); 21 (18%) underwent the procedure in the inpatient setting. Complications were low among both inpatient and outpatient groups (10% vs 1%, P = .09). No complications occurred during the overnight stay of the inpatient group. Conclusions: Outpatient airway dilation is a safe and feasible procedure. It can be routinely performed on an ambulatory basis.
Reference Values of Within-District Intraclass Correlations of Academic Achievement by District Characteristics
Authors: Hedberg E. C. , Hedges Larry V. 
Published: December 2014

Background: Randomized experiments are often considered the strongest designs to study the impact of educational interventions. Perhaps the most prevalent class of designs used in large-scale education experiments is the cluster randomized design in which entire schools are assigned to treatments. In cluster randomized trials that assign schools to treatments within a set of school districts, the statistical power of the test for treatment effects depends on the within-district school-level intraclass correlation (ICC). Hedges and Hedberg (2014) recently computed within-district ICC values in 11 states using three-level models (students in schools in districts) that pooled results across all the districts within each state. Although values from these analyses are useful when working with a representative sample of districts, they may be misleading for other samples of districts because the magnitude of ICCs appears to be related to district size. To plan studies with small or nonrepresentative samples of districts, better information are needed about the relation of within-district school-level ICCs to district size. Objective: Our objective is to explore the relation between district size and within-district ICCs to provide reference values for math and reading achievement for Grades 3–8 by district size, poverty level, and urbanicity level. These values are not derived from pooling across all districts within a state as in previous work but are based on the direct calculation of within-district school-level ICCs for each school district. Research Design: We use mixed models to estimate over 7,000 district-specific ICCs for math and reading achievement in 11 states and for Grades 3–8. We then perform a random effects meta-analysis on the estimated within-district ICCs. Our analysis is performed by grade and subject for different strata designated by district size (number of schools), urbanicity, and poverty rates.
A Methodology to Estimate the Interest Rate Yield Curve in Illiquid Market
Authors: Chakroun Fatma , Abid Fathi 
Published: December 2014

The aim of this article is to develop a methodology to estimate the interest rate yield curve and its dynamics in the Tunisian bond market, which is considered as an illiquid market with a low trading volume. To achieve this, first, we apply the cubic spline interpolation method to deal with the missing observation problem. Second, we focus on the work of Vasicek ( 1977 ) and Cox-Ingersoll and Ross (CIR) (1985), we estimate each model and discuss its performance in predicting the dynamics of the interest rate yield curve using ordinary least squares (OLS) and maximum likelihood estimation (MLE) methods. The data sample consists of Treasury bond prices for the period from 14 July 2004 to 10 September 2012 collected from over the counter market. This assessment is done by Matlab software using the specified algorithms. The results suggest that the cubic spline method is accurate for construction of the average interest rate yield curve. Then, the estimation of Vasicek ( 1977 ) and CIR (1985) models generate an upward sloping yield curves and the Vasicek ( 1977 ) model shows more ability to replicate the stylised facts of the short-term interest rates in the Tunisian bond market. Finally, the forecasting of the yield curve predicts an economic growth in the future characterised by a higher inflation. JEL Classification: G12
The Gaming Involvement and Informal Learning Framework
Authors: Iacovides Ioanna , McAndrew Patrick , Scanlon Eileen , Aczel James 
Published: December 2014

Aim. This article presents a model of how gaming involvement and informal learning come together in practice. Method. Based on a series of interviews, case studies, and a wider survey, the Gaming Involvement and Informal Learning (GIIL) framework indicates how involvement with a variety of gaming practices can lead to a range of different learning experiences. Results. The framework is able to account for both how and what people learn from gaming while also highlighting the influence of player identity. Further, the iterative relationship between identity, involvement, and learning is emphasized: The more strongly someone identifies themselves as a gamer, the greater their micro- and macro-level involvement and the more likely they are to learn from their gaming experiences. Conclusion. The implications of the findings are discussed with regard to informal and formal learning.