bluuebunny/crossref_metadata_2025_split huggingface dataset:
Water‐stable Adenine‐based MOFs with Polar Pores for Selective CO2 Capture
Authors: Maity Rahul , Singh Himan Dev , Yadav Ankit Kumar , Chakraborty Debanjan , Vaidhyanathan Ramanathan 
Published: September 2019

AbstractHere, we report two novel water‐stable amine‐functionalized MOFs, namely IISERP‐MOF26 ([NH2(CH3)2][Cu2O(Ad)(BDC)]⋅(H2O)2(DMA), 1) and IISERP‐MOF27 ([NH2(CH3)2]1/2[Zn4O(Ad)3(BDC)2]⋅(H2O)2(DMF)1/2, 2), which show selective CO2 capture capabilities. They are made by combining inexpensive and readily available terephthalic acid and N‐rich adenine with Cu and Zn, respectively. They possess 1D channels decorated by the free amine group from the adenine and the polarizing oxygen atoms from the terephthalate units. Even more, there are dimethyl ammonium (DMA+) cations in the pore rendering an electrostatic environment within the channels. The activated Cu‐ and Zn‐MOFs physisorb about 2.7 and 2.2 mmol g−1 of CO2, respectively, with high CO2/N2 and moderate CO2/CH4 selectivity. The calculated heat of adsorption (HOA=21–23 kJ mol−1) for the CO2 in both MOFs suggest optimal physical interactions which corroborate well with their facile on‐off cycling of CO2. Notably, both MOFs retain their crystallinity and porosity even after soaking in water for 24 hours as well as upon exposure to steam over 24 hours. The exceptional thermal and chemical stability, favorable CO2 uptakes and selectivity and low HOA make these MOFs promising sorbents for selective CO2 capture applications. However, the MOF′s low heat of adsorption despite having a highly CO2‐loving groups lined walls is quite intriguing.
From empathy to action: Can enhancing host‐society children's empathy promote positive attitudes and prosocial behaviour toward refugees?
Authors: Taylor Laura K. , Glen Catherine 
Published: September 2019

AbstractOver half of refugees are school‐aged children. In host communities, children's attitudes and behaviours are important for the integration of refugee children. This study examines the empathy–attitudes–action model in middle childhood (N = 94, 8 to 11 years old). In both the experimental and control conditions, children were introduced to a (fictional) refugee and told that he or she would be moving to their school. The experimental condition also listened to a storybook about the child's refugee experience. Empathy, outgroup attitudes, and prosocial behaviour toward the incoming child, and refugees as a group, were measured. Although mediation was not supported, the storybook condition reported more empathy and helping intentions, and attitudes predicted helping intentions but not giving to refugees. Results highlight how host‐society children can welcome refugees.
lncRNA SNHG7 sponges miR‐425 to promote proliferation, migration, and invasion of hepatic carcinoma cells via Wnt/β‐catenin/EMT signalling pathway
Authors: Yao Xuebing , Liu Chi , Liu Cuiyun , Xi Wenna , Sun Shuilin , Gao Zhen 
Published: September 2019

Increasing evidence has indicated the important roles of long noncoding RNA small nucleolar RNA host gene 7 (SNHG7) in tumourigenesis as a potential oncogene. However, the function of SNHG7 in hepatic carcinoma remains unclear. In the present study, we found that SNHG7 expression was significantly upregulated in hepatic carcinoma tissues, especially in aggressive cases, and it was closely correlated with the poor prognosis. Furthermore, knockdown of SNHG7 inhibited the proliferation, migration, and invasion of hepatic carcinoma cell lines in vitro. Mechanistically, SNHG7 directly interacted with miR‐425 as a ceRNA. Moreover, knockdown of SNHG7 significantly inhibited the tumorigenic Wnt/β‐catenin/EMT pathway. SNHG7 regulated Wnt/β‐catenin/EMT pathway through sponging miR‐425 and played an oncogenic role in hepatic carcinoma progression. Together, our study elucidated the role of SNHG7 as a ceRNA in hepatic carcinoma, provided new potential diagnosis and therapeutic application in hepatic carcinoma progression.Significance of the studySNHG7 could promote proliferation and metastasis of hepatic carcinoma cell in vitro and in vivo, suggesting that SNHG7 exerts tumorigenic role in hepatic carcinoma progression. Further mechanism research revealed that SNHG7 exhibited the tumorigenic role through Wnt/β‐catenin/EMT pathway as a miR‐425 sponge. These findings provided new cues to understand the molecular signalling network in carcinogenesis of hepatic carcinoma, and it may provide new evidence for therapeutic application in hepatic carcinoma.
The effect of plant stress on phosphoinositides
Authors: Morales Javier Adrian , Gonzalez‐Kantun Wilma A. , Rodriguez‐Zapata Luis Carlos , Ramón‐Ugalde Julio , Castano Enrique 
Published: September 2019

Phosphoinositides are very versatile molecules with a plethora of functions such as cytokinesis, chemotaxis, cell survival, and cell death. Their functions depend on the proteins with which they interact. Thus, when interacting with phospholipases, phosphatases, or kinases, they can be precursors of second messengers in different signalling pathways. They could be second messengers themselves and interact directly with other proteins to modulate their functions trough changing its localization and activity or enhancing its synthesis rate. Because they are more abundant in animal cells and their importance in diseases such as cancer has taken priority, the study of the phosphoinositides in plants has not evolved to the same extent. Nevertheless, several studies have shown the significance of these lipids in plant cells viability and environmental response. This review focuses on phosphoinositides response to abiotic and biotic stress, showing their implication in plant survival during different stages of development.Significance of the studyThis review is focused on plant PIPs functions in stress, highlighting in the main differences between plant and mammal PIPs and the novel interactions that could be extrapolated to animal models to contribute in a better understanding of these pivotal molecules.
Complete remission with ibrutinib after allogeneic stem cell transplant for central nervous system relapse of mantle cell lymphoma: A case report and literature review
Authors: Rich Jessica D. , Clark Stephen M. , Fedoriw Yuri , Jewells Valerie , Wood William , Dittus Christopher 
Published: September 2019

AbstractCentral nervous system (CNS)‐relapsed mantle cell lymphoma (MCL) is a rare, aggressive non‐Hodgkin lymphoma without a standard treatment. Ibrutinib has shown promising results for inducing remission in other non‐Hodgkin lymphomas and may be considered as successful treatment for CNS‐relapsed MCL in the future as well.
Optimizing the Supercapacitive Performance and Cyclability of Ni(OH)2 by Combining with CuO Concomitant with Mutual Doping
Authors: He Qianqian , Lun Ning , Qi Yongxin , Liu Jiurong , Feng Jinkui , Qiu Jun , Bai Yujun 
Published: September 2019

AbstractThe high capacitance and cyclability are usually incompatible when Ni(OH)2 behaves as the electrode material in pseudocapacitors. Herein, Ni(OH)2/CuO nanocomposites electrode materials were fabricated by simple water‐boiling treatment, and the nanocomposite with an atomic ratio of 1 : 1 for Ni : Cu achieves extraordinary electrochemical performance (1248 F g−1 at 1 A g−1), excellent rate property, and remarkable cyclability (revealing capacitance retention of 86 % after cycling at 2 A g−1 for 6000 times). Particularly, the asymmetric supercapacitor with the positive electrode of Ni(OH)2/CuO and negative electrode of fulvic acid‐derived carbon demonstrates a capacitance of 125 F g−1 at 1 A g−1, an energy density of 19.5 Wh kg−1 at a power density of 781 W kg−1, together with capacitance retention of 98 % after 6000 cycles at 3.2 A g−1. The outstanding performance results from the high migration rate of both electron and ion associating with the component of CuO, the mutual dispersion of Ni(OH)2 and CuO for maintaining the high specific surface area of Ni(OH)2 nanowhiskers, as well as the lattice distortion induced by the mutual doping of Cu2+ in Ni(OH)2 and Ni2+ in CuO to provide more active sites for energy storage. The Ni(OH)2/CuO composite could be a practicable alternative as the electrode materials for advanced pseudocapacitors.
Measuring Particle Size Distributions in Multiphase Flows Using a Convolutional Neural Network
Authors: Schäfer Jan , Schmitt Philipp , Hlawitschka Mark W. , Bart Hans‐Jörg 
Published: September 2019

AbstractThe efficiency of many chemical engineering applications depends on the surface/volume ratio of the dispersed phase. Knowledge of this particle size distribution is a key factor for better process control. The challenge of measurements acquired by optical imaging techniques is the segmentation of overlapping particles, especially in high phase fraction flows. In this work, a convolutional neural network is trained to segment droplets in images acquired by a shadowgraphic approach. The network is trained on artificial images and implemented into a droplet size algorithm. The results are compared to an OpenSource segmentation approach.
Identification of Compounds That Interfere with High‐Throughput Screening Assay Technologies
Authors: David Laurianne , Walsh Jarrod , Sturm Noé , Feierberg Isabella , Nissink J. Willem M. , Chen Hongming , Bajorath Jürgen , Engkvist Ola 
Published: September 2019

AbstractA significant challenge in high‐throughput screening (HTS) campaigns is the identification of assay technology interference compounds. A Compound Interfering with an Assay Technology (CIAT) gives false readouts in many assays. CIATs are often considered viable hits and investigated in follow‐up studies, thus impeding research and wasting resources. In this study, we developed a machine‐learning (ML) model to predict CIATs for three assay technologies. The model was trained on known CIATs and non‐CIATs (NCIATs) identified in artefact assays and described by their 2D structural descriptors. Usual methods identifying CIATs are based on statistical analysis of historical primary screening data and do not consider experimental assays identifying CIATs. Our results show successful prediction of CIATs for existing and novel compounds and provide a complementary and wider set of predicted CIATs compared to BSF, a published structure‐independent model, and to the PAINS substructural filters. Our analysis is an example of how well‐curated datasets can provide powerful predictive models despite their relatively small size.
A range‐wide model of contemporary, omnidirectional connectivity for the threatened Mojave desert tortoise
Authors: Gray Miranda E. , Dickson Brett G. , Nussear Kenneth E. , Esque Todd C. , Chang Tony 
Published: September 2019

AbstractAs habitat destruction leads to species extinctions globally, conservation planning that accounts for population‐level connectivity and gene flow is an urgent priority. Models that only approximate habitat potential are incomplete because areas of high habitat potential may be isolated, whereas intermixed areas of lower habitat potential may still be critical for maintaining connectivity between and among populations. We developed a range‐wide, omnidirectional (coreless) connectivity model and map for the threatened Mojave desert tortoise at a high spatial resolution (30 m), based on empirical movement data and a circuit‐theoretic approach to estimating connectivity. Specifically, we first estimated habitat potential (i.e., quality) for tortoise movement (as distinct from habitat potential more generally) across its range using hypotheses based on the published literature, linear mixed models, multiple environmental factors derived from remotely sensed data, and recent solar and wind development footprints. The resultant raster output was used to represent landscape conductance in a circuit‐theoretic model of connectivity, which relates the flow of electrical current through a circuit to the movement of tortoises through the landscape. We then modeled potential connectivity across the range of the tortoise using Circuitscape software and the Julia numerical programming language. Intermediate distances from minor roads, intermediate values of annual average maximum temperature, and increasing density of desert washes were among the strongest predictors of movement habitat quality. There was also strong evidence for increased habitat quality for movement with increasing amounts of vegetation cover. The resulting connectivity model and map was determined to accurately reflect important areas for tortoise movement, but we encourage others to do their own evaluation of the model within local areas of interest and as more data become available. Accordingly, the map can provide an important component to improve management decisions that have the potential to influence the conservation of connected desert tortoise populations throughout the range.
Finding the sweet spot: What levels of larval mortality lead to compensation or overcompensation in adult production?
Authors: Neale Zoey R. , Juliano Steven A. 
Published: September 2019

AbstractExtrinsic mortality impinging on negative density‐dependent populations can result in no change in the number of survivors (compensation) or an increase (overcompensation) by releasing the population from density‐dependent effects on survivorship. The relationship between the level of extrinsic mortality (i.e., percentage of mortality) and the level and likelihood of overcompensation is theoretically important, but rarely investigated. We tested the hypothesis that overcompensation occurs below a threshold value of extrinsic mortality that is related to density‐dependent mortality rate and that additive extrinsic mortality occurs above this threshold. This hypothesis predicts that survivorship vs. extrinsic mortality will (1) be best described by a two‐segmented model with a threshold; (2) have a slope >0 below the threshold; and (3) have a slope = −1 above the threshold. We also tested whether mortality imposed by real predators and random harvest have equivalent effects on adult production and whether magnitude of overcompensation is related to species sensitivity to density dependence. These hypotheses were tested in the container mosquitoesAedes aegypti, Aedes albopictus, Aedes triseriatus,andCulex pipiens(Diptera: Culicidae). Cohorts of 150 larvae were exposed to random harvest of 0–70% two days after hatch or to predation by 1–3Mesocyclops longisetus(Crustacea: Copepoda). Overcompensation occurred inA. aegyptiin a pattern consistent with predictions.Aedes triseriatusshowed strong overcompensation but no evidence of a threshold, whereasA. albopictusandC. pipienshad survival consistent with compensatory mortality but no evidence of a threshold. Compared to random harvest, mortality from predation yielded greater adult production inA. aegyptiandA. albopictus, lesser adult production inC. pipiens,and no difference in adult production inA. triseriatus. Our results are largely consistent with our hypothesis about overcompensation, with the caveat that thresholds for additive mortality appear to occur at very high levels of extrinsic mortality. Magnitudes of overcompensation for the threeAedeswere inversely related to survival in the 0% mortality treatment, consistent with our hypothesis that overcompensation is related to sensitivity to density dependence. A broad range of extrinsic mortality levels can yield overcompensation, which may have practical implications for attempts to control pest populations.
On the relationships between size and abundance in plants: beyond forest communities
Authors: Dillon Kelsey T. , Henderson Amanda N. , Lodge Alexandra G. , Hamilton Nina I. , Sloat Lindsey L. , Enquist Brian J. , Price Charles A. , Kerkhoff Andrew J. 
Published: September 2019

AbstractThe inverse relationship between size and abundance is a well‐documented pattern in forests, and the form of size–density relationships depends on the balance between growth and mortality rates in the community. Traditionally, studies of plant size distributions have focused on single‐species populations and forests, but here we examine diverse communities dominated by plants with varied life histories, including grasses, forbs, shrubs, and succulents. In particular, we test whether the parameters of the individual size distribution differ systematically across community types, whether they fit the contrasting predictions of metabolic or demographic theories, and whether they share a common cross‐community scaling relationship with forest communities and crop populations. All thirteen of our study sites better fit the predictions of demographic equilibrium theory, but interestingly, fits of both demographic and metabolic models showed little systematic variation across community types, despite large differences in environmental conditions and dominant life forms. Finally, analysis of the cross‐community scaling relationship demonstrates that natural and restored non‐forest communities conform to patterns of size and abundance observed among forest, plantation, and crop systems. Taken together, our results suggest that common ecological mechanisms govern plant community size structure across broad environmental gradients, regardless of the dominant plant life forms or limiting resources.
Fog computing–based node‐to‐node communication and mobility management technique for 5G networks
Authors: Babu S. , Biswash Sanjay Kumar 
Published: September 2019

AbstractIn this paper, we present a Fog computing–based node‐to‐node communication architecture for 5G networks. It supports the minimum network infrastructure dependent communication. In order to establish the connection, associated next generation evolve node base station (gNB) imports the required information from nearby Fog servers. The retrieved pieces of information are processed in data analytic units (DAUs). The DAUs are in‐build processing units and closely tie‐up with Fog servers/gNBs. The Fog servers and data analytic units are frequently deployed in the coverage area. They always offer and receive the services from gNBs to establish node‐to‐node communication. A robust mobility management scheme is also proposed for dynamic mobile users to achieve node‐to‐node communication. The signaling cost, energy consumption, delay, and latency are the performance parameters for the proposed work. The numerical and system level simulation results are produced to validate the proposed contributions. We compare the obtained results with 4G/LTE cellular networks in order to check the effectiveness of work. We achieved 26% to 63% of performance improvement as compared to legacy networks w.r.t. listed parameters.
U.K. utility weights for the EORTC QLU‐C10D
Authors: Norman Richard , Mercieca‐Bebber Rebecca , Rowen Donna , Brazier John E. , Cella David , Pickard A. Simon , Street Deborah J. , Viney Rosalie , Revicki Dennis , King Madeleine T. ,   On behalf of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group and the MAUCa Consortium
Published: September 2019

AbstractThe EORTC QLU‐C10D is a new multi‐attribute utility instrument derived from the widely used cancer‐specific quality of life questionnaire, EORTC QLQ‐C30. It contains 10 dimensions (physical functioning, role functioning, social functioning, emotional functioning, pain, fatigue, sleep, appetite, nausea, bowel problems), each with four levels. The aim of this study was to provide U.K. general population utility weights for the QLU‐C10D.A U.K. online panel was quota‐sampled to align the sample to the general population proportions of sex and age (≥18 years). The online valuation survey included a discrete choice experiment (DCE). Each participant was asked to complete 16 choice‐pairs, each comprising two QLU‐C10D health states plus duration. DCE data were analysed using conditional logistic regression to generate utility weights.Data from 2,187 respondents who completed at least one choice set were included in the DCE analysis. The final U.K. QLU‐C10D utility weights comprised decrements for each level of each health dimension. For nine of the 10 dimensions (all except appetite), the expected monotonic pattern was observed across levels: Utility decreased as severity increased. For the final model, consistent monotonicity was achieved by merging inconsistent adjacent levels for appetite. The largest utility decrements were associated with physical functioning and pain. The worst possible health state (the worst level of each dimension) is −0.083, which is considered slightly worse than being dead.The U.K.‐specific utility weights will enable cost–utility analysis (CUA) for the economic evaluation of new oncology therapies and technologies in the United Kingdom, where CUA is commonly used to inform resource allocation.
Long noncoding RNA SAMMSON promotes papillary thyroid carcinoma progression through p300/Sp1 axis and serves as a novel diagnostic and prognostic biomarker
Authors: Shao Liang , Sun Wei , Wang Zhihong , Dong Wenwu , Qin Yuan 
Published: September 2019

AbstractAccumulating evidence suggests that long noncoding RNA (lncRNA) plays a fundamental role in cancer progression. However, its biological function in papillary thyroid carcinoma (PTC) has not been fully elucidated. Here, we deciphered the essential role of lncRNA SAMMSON in PTC. SAMMSON was identified to be notably upregulated in PTC cells, tissues, and plasma, and could be used as an effective diagnostic and prognostic biomarker for PTC patients. Knockdown of SAMMSON significantly inhibited PTC cell proliferation and invasion in vitro as well as tumorigenicity and metastasis in vivo. Mechanistically, SAMMSON was transcriptionally elevated by oncogenic Sp1, in turn, upregulated SAMMSON was capable of acting as a scaffold to recruit p300 to increase H3K9ac and H3K27ac levels on Sp1 promoter region, leading to transcriptional activation of Sp1, thereby facilitating PTC progression. Taken together, our data demonstrate that SAMMSON is an oncogenic lncRNA and unveil the crucial role of SAMMSON/Sp1 positive feedback loop in tumorigenesis and aggressiveness of PTC.
Phase dual‐slopes in frequency‐domain near‐infrared spectroscopy for enhanced sensitivity to brain tissue: First applications to human subjects
Authors: Blaney Giles , Sassaroli Angelo , Pham Thao , Fernandez Cristianne , Fantini Sergio 
Published: September 2019

AbstractWe present a first in vivo application of phase dual‐slopes (DSϕ), measured with frequency‐domain near‐infrared spectroscopy on four healthy human subjects, to demonstrate their enhanced sensitivity to cerebral hemodynamics. During arterial blood pressure oscillations elicited at a frequency of 0.1 Hz, we compare three different ways to analyze either intensity (I) or phase (ϕ) data collected on the subject's forehead at multiple source‐detector distances: Single‐distance, single‐slope and DS. Theoretical calculations based on diffusion theory show that the method with the deepest maximal sensitivity (at about 11 mm) is DSϕ. The in vivo results indicate a qualitative difference of phase data (especially DSϕ) and intensity data (especially single‐distance intensity [SDI]), which we assign to stronger contributions from scalp hemodynamics to SDI and from cortical hemodynamics to DSϕ. Our findings suggest that scalp hemodynamic oscillations may be dominated by blood volume dynamics, whereas cortical hemodynamics may be dominated by blood flow velocity dynamics.