bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hoard of Military Awards, Jewellery and Coins from Colchester
Authors: Crummy Nina , Henig Martin , Ward Courtney 
Published: February 2016

AbstractA hoard of objects found at the early Roman colony at Colchester in a small hole scraped into the floor of a house destroyed during the Boudican revolt includes a group of high-quality gold jewellery, three silver military awards, a bag of coins, an unusual silver-clad wooden box and other items. Buried in haste as the British approached, they provide a remarkably clear image of one couple's background, achievements, taste and social standing. Abullashows that the man was a Roman citizen, the awards that he was a veteran soldier of some distinction, while parallels for the woman's jewellery suggest that it was acquired in Italy.
Plan-based reward shaping for multi-agent reinforcement learning
Authors: Devlin Sam , Kudenko Daniel 
Published: February 2016

AbstractRecent theoretical results have justified the use of potential-based reward shaping as a way to improve the performance of multi-agent reinforcement learning (MARL). However, the question remains of how to generate a useful potential function.Previous research demonstrated the use of STRIPS operator knowledge to automatically generate a potential function for single-agent reinforcement learning. Following up on this work, we investigate the use of STRIPS planning knowledge in the context of MARL.Our results show that a potential function based on joint or individual plan knowledge can significantly improve MARL performance compared with no shaping. In addition, we investigate the limitations of individual plan knowledge as a source of reward shaping in cases where the combination of individual agent plans causes conflict.
Convolution in perfect Lie groups
Authors: BENOIST YVES , DE SAXCÉ NICOLAS 
Published: February 2016

AbstractLetGbe a connected perfect real Lie group. We show that there exists α < dimGandp∈$\mathbb{N}$* such that if μ is a compactly supported α-Frostman Borel measure onG, then thepth convolution power μ*pis absolutely continuous with respect to the Haar measure onG, with arbitrarily smooth density. As an application, we obtain that ifA⊂Gis a Borel set with Hausdorff dimension at least α, then thep-fold product setApcontains a non-empty open set.
Longitudinal study of premorbid adjustment in 22q11.2 deletion (velocardiofacial) syndrome and association with psychosis
Authors: Radoeva Petya D. , Fremont Wanda , Antshel Kevin M. , Kates Wendy R. 
Published: February 2016

AbstractVelocardiofacial syndrome, also known as 22q11.2 deletion syndrome (22q11DS), is associated with an increased risk of major psychiatric disorders, including schizophrenia. The emergence of psychotic symptoms in individuals with schizophrenia in the general population is often preceded by a premorbid period of poor or worsening social and/or academic functioning. Our current study evaluated premorbid adjustment (via the Cannon–Spoor Premorbid Adjustment Scale [PAS]) and psychotic symptoms (via the Structured Interview for Prodromal Symptoms and the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children—Present and Lifetime Version) in youth with 22q11DS (N = 96), unaffected siblings (N = 40), and community controls (N = 50). The PAS scores indicated greater maladjustment during all developmental periods in individuals with 22q11DS compared to the controls. Many participants with 22q11DS had chronically poor (n = 33) or deteriorating (n = 6) PAS scores. In 22q11DS, chronically poor PAS trajectories and poor childhood and early adolescence academic domain and total PAS scores significantly increased the risk of prodromal symptoms or overt psychosis. Taking into account the catechol-O-methyltransferase (COMT) genotype, the best predictor of (prodromal) psychosis was the early adolescence academic domain score, which yielded higher sensitivity and specificity in the subgroup of youth with 22q11DS and the high-activity (valine) allele. PAS scores may help identify individuals at higher risk for psychosis.
Breakfast frequency among adolescents: associations with measures of family functioning
Authors: Pedersen Trine Pagh , Holstein Bjørn E , Damsgaard Mogens Trab , Rasmussen Mette 
Published: February 2016

AbstractObjectiveTo investigate (i) associations between adolescents’ frequency of breakfast and family functioning (close relations to parents, quality of family communication and family support) and (ii) if any observed associations between breakfast frequency and family functioning vary by sociodemographic factors.DesignSchool-based cross-sectional study. Students completed a web-based questionnaire. Associations were estimated by multilevel multivariate logistic regression.SettingDanish arm of the Health Behaviour in School-aged Children study, 2014.SubjectsAdolescents aged 13 and 15 years (n3054) from a random sample of forty-one schools.ResultsNearly one-quarter of the adolescents had low breakfast frequency. Low breakfast frequency was associated with low family functioning measured by three dimensions. The OR (95 % CI) of low breakfast frequency was 1·81 (1·40, 2·33) for adolescents who reported no close relations to parents, 2·28 (1·61, 3·22) for adolescents who reported low level of quality of family communication and 2·09 (1·39, 3·15) for adolescents who reported low level of family support. Joint effect analyses suggested that the odds of low breakfast frequency among adolescents with low family functioning compared with high family functioning were highest among adolescents being girls, immigrants and living in other than a traditional family structure.ConclusionsLow breakfast frequency was associated with low family functioning measured by close relations to parents, quality of family communication and family support. Further, analyses suggested that the associations were more pronounced among girls, immigrants and adolescents from other family structure than traditional. The study highlights the importance of the family setting in promoting regular breakfast frequency among adolescents.
Liberté, Égalité, Animalité: Human–Animal Comparisons in Law
Authors: Peters Anne 
Published: February 2016

AbstractThis article problematizes the discrepancy between the wealth of international law serving human needs and rights and the international regulatory deficit concerning animal welfare and animal rights. It suggests that, in the face of scientific evidence, the legal human–animal boundary (as manifest notably in the denial of rights to animals) needs to be properly justified. Unmasking the (to some extent) ‘imagined’ nature of the human–animal boundary, and shedding light on the persistence of human–animal comparisons for pernicious and beneficial purposes of the law, can offer inspirations for legal reform in the field of animal welfare and even animal rights.
Multimodal stimulus coding by a gustatory sensory neuron in Drosophila larvae
Authors: van Giesen Lena , Hernandez-Nunez Luis , Delasoie-Baranek Sophie , Colombo Martino , Renaud Philippe , Bruggmann Rémy , Benton Richard , Samuel Aravinthan D. T. , Sprecher Simon G. 
Published: February 2016

AbstractAccurate perception of taste information is crucial for animal survival. In adultDrosophila, gustatory receptor neurons (GRNs) perceive chemical stimuli of one specific gustatory modality associated with a stereotyped behavioural response, such as aversion or attraction. We show that GRNs ofDrosophilalarvae employ a surprisingly different mode of gustatory information coding. Using a novel method for calcium imaging in the larval gustatory system, we identify a multimodal GRN that responds to chemicals of different taste modalities with opposing valence, such as sweet sucrose and bitter denatonium, reliant on different sensory receptors. This multimodal neuron is essential for bitter compound avoidance, and its artificial activation is sufficient to mediate aversion. However, the neuron is also essential for the integration of taste blends. Our findings support a model for taste coding in larvae, in which distinct receptor proteins mediate different responses within the same, multimodal GRN.
Towards universal quantum computation through relativistic motion
Authors: Bruschi David Edward , Sabín Carlos , Kok Pieter , Johansson Göran , Delsing Per , Fuentes Ivette 
Published: February 2016

AbstractWe show how to use relativistic motion to generate continuous variable Gaussian cluster states within cavity modes. Our results can be demonstrated experimentally using superconducting circuits where tuneable boundary conditions correspond to mirrors moving with velocities close to the speed of light. In particular, we propose the generation of a quadripartite square cluster state as a first example that can be readily implemented in the laboratory. Since cluster states are universal resources for universal one-way quantum computation, our results pave the way for relativistic quantum computation schemes.
Exponential Sensitivity and its Cost in Quantum Physics
Authors: Gilyén András , Kiss Tamás , Jex Igor 
Published: February 2016

AbstractState selective protocols, like entanglement purification, lead to an essentially non-linear quantum evolution, unusual in naturally occurring quantum processes. Sensitivity to initial states in quantum systems, stemming from such non-linear dynamics, is a promising perspective for applications. Here we demonstrate that chaotic behaviour is a rather generic feature in state selective protocols: exponential sensitivity can exist for all initial states in an experimentally realisable optical scheme. Moreover, any complex rational polynomial map, including the example of the Mandelbrot set, can be directly realised. In state selective protocols, one needs an ensemble of initial states, the size of which decreases with each iteration. We prove that exponential sensitivity to initial states in any quantum system has to be related to downsizing the initial ensemble also exponentially. Our results show that magnifying initial differences of quantum states (a Schrödinger microscope) is possible; however, there is a strict bound on the number of copies needed.
Fast and accurate Monte Carlo sampling of first-passage times from Wiener diffusion models
Authors: Drugowitsch Jan 
Published: February 2016

AbstractWe present a new, fast approach for drawing boundary crossing samples from Wiener diffusion models. Diffusion models are widely applied to model choices and reaction times in two-choice decisions. Samples from these models can be used to simulate the choices and reaction times they predict. These samples, in turn, can be utilized to adjust the models’ parameters to match observed behavior from humans and other animals. Usually, such samples are drawn by simulating a stochastic differential equation in discrete time steps, which is slow and leads to biases in the reaction time estimates. Our method, instead, facilitates known expressions for first-passage time densities, which results in unbiased, exact samples and a hundred to thousand-fold speed increase in typical situations. In its most basic form it is restricted to diffusion models with symmetric boundaries and non-leaky accumulation, but our approach can be extended to also handle asymmetric boundaries or to approximate leaky accumulation.
Gene regulatory network inference using fused LASSO on multiple data sets
Authors: Omranian Nooshin , Eloundou-Mbebi Jeanne M. O. , Mueller-Roeber Bernd , Nikoloski Zoran 
Published: February 2016

AbstractDevising computational methods to accurately reconstruct gene regulatory networks given gene expression data is key to systems biology applications. Here we propose a method for reconstructing gene regulatory networks by simultaneous consideration of data sets from different perturbation experiments and corresponding controls. The method imposes three biologically meaningful constraints: (1) expression levels of each gene should be explained by the expression levels of a small number of transcription factor coding genes, (2) networks inferred from different data sets should be similar with respect to the type and number of regulatory interactions and (3) relationships between genes which exhibit similar differential behavior over the considered perturbations should be favored. We demonstrate that these constraints can be transformed in a fused LASSO formulation for the proposed method. The comparative analysis on transcriptomics time-series data from prokaryotic species,Escherichia coliandMycobacterium tuberculosis, as well as a eukaryotic species, mouse, demonstrated that the proposed method has the advantages of the most recent approaches for regulatory network inference, while obtaining better performance and assigning higher scores to the true regulatory links. The study indicates that the combination of sparse regression techniques with other biologically meaningful constraints is a promising framework for gene regulatory network reconstructions.
New insights into the mechanism of substrates trafficking in Glyoxylate/Hydroxypyruvate reductases
Authors: Lassalle Louise , Engilberge Sylvain , Madern Dominique , Vauclare Pierre , Franzetti Bruno , Girard Eric 
Published: February 2016

AbstractGlyoxylate accumulation within cells is highly toxic. In humans, it is associated with hyperoxaluria type 2 (PH2) leading to renal failure. The glyoxylate content within cells is regulated by the NADPH/NADH dependent glyoxylate/hydroxypyruvate reductases (GRHPR). These are highly conserved enzymes with a dual activity as they are able to reduce glyoxylate to glycolate and to convert hydroxypyruvate into D-glycerate. Despite the determination of high-resolution X-ray structures, the substrate recognition mode of this class of enzymes remains unclear. We determined the structure at 2.0 Å resolution of a thermostable GRHPR from Archaea as a ternary complex in the presence of D-glycerate and NADPH. This shows a binding mode conserved between human and archeal enzymes. We also determined the first structure of GRHPR in presence of glyoxylate at 1.40 Å resolution. This revealed the pivotal role of Leu53 and Trp138 in substrate trafficking. These residues act as gatekeepers at the entrance of a tunnel connecting the active site to protein surface. Taken together, these results allowed us to propose a general model for GRHPR mode of action.
Inflammation increases NOTCH1 activity via MMP9 and is counteracted by Eicosapentaenoic Acid-free fatty acid in colon cancer cells
Authors: Fazio Chiara , Piazzi Giulia , Vitaglione Paola , Fogliano Vincenzo , Munarini Alessandra , Prossomariti Anna , Milazzo Maddalena , D’Angelo Leonarda , Napolitano Manuela , Chieco Pasquale , Belluzzi Andrea , Bazzoli Franco , Ricciardiello Luigi 
Published: February 2016

AbstractAberrant NOTCH1 signalling is critically involved in multiple models of colorectal cancer (CRC) and a prominent role of NOTCH1 activity during inflammation has emerged. Epithelial to Mesenchymal Transition (EMT), a crucial event promoting malignant transformation, is regulated by inflammation and Metalloproteinase-9 (MMP9) plays an important role in this process. Eicosapentaenoic Acid (EPA), an omega-3 polyunsaturated fatty acid, was shown to prevent colonic tumors in different settings. We recently found that an extra-pure formulation of EPA as Free Fatty Acid (EPA-FFA) protects from colon cancer development in a mouse model of Colitis-Associated Cancer (CAC) through modulation of NOTCH1 signalling. In this study, we exposed colon cancer cells to an inflammatory stimulus represented by a cytokine-enriched Conditioned Medium (CM), obtained from THP1-differentiated macrophages. We found, for the first time, that CM strongly up-regulated NOTCH1 signalling and EMT markers, leading to increased invasiveness. Importantly, NOTCH1 signalling was dependent on MMP9 activity, upon CM exposure. We show that a non-cytotoxic pre-treatment with EPA-FFA antagonizes the effect of inflammation on NOTCH1 signalling, with reduction of MMP9 activity and invasiveness. In conclusion, our data suggest that, in CRC cells, inflammation induces NOTCH1 activity through MMP9 up-regulation and that this mechanism can be counteracted by EPA-FFA.
Small interfering RNA pathway modulates persistent infection of a plant virus in its insect vector
Authors: Lan Hanhong , Wang Haitao , Chen Qian , Chen Hongyan , Jia Dongsheng , Mao Qianzhuo , Wei Taiyun 
Published: February 2016

AbstractPlant reoviruses, rhabdoviruses, tospoviruses, and tenuiviruses are transmitted by insect vectors in a persistent-propagative manner. How such persistent infection of plant viruses in insect vectors is established and maintained remains poorly understood. In this study, we used rice gall dwarf virus (RGDV), a plant reovirus, and its main vector leafhopper Recilia dorsalis as a virus–insect system to determine how the small interference (siRNA) pathway modulates persistent infection of a plant virus in its insect vector. We showed that a conserved siRNA antiviral response was triggered by the persistent replication of RGDV in cultured leafhopper cells and in intact insects, by appearance of virus-specific siRNAs, primarily 21-nt long, and the increased expression of siRNA pathway core components Dicer-2 and Argonaute-2. Silencing of Dicer-2 using RNA interference strongly suppressed production of virus-specific siRNAs, promoted viral accumulation, and caused cytopathological changes in vitro and in vivo. When the viral accumulation level rose above a certain threshold of viral genome copy (1.32 × 1014 copies/μg insect RNA), the infection of the leafhopper by RGDV was lethal rather than persistent. Taken together, our results revealed a new finding that the siRNA pathway in insect vector can modulate persistent infection of plant viruses.
Learning (from) the errors of a systems biology model
Authors: Engelhardt Benjamin , Frőhlich Holger , Kschischo Maik 
Published: February 2016

AbstractMathematical modelling is a labour intensive process involving several iterations of testing on real data and manual model modifications. In biology, the domain knowledge guiding model development is in many cases itself incomplete and uncertain. A major problem in this context is that biological systems are open. Missed or unknown external influences as well as erroneous interactions in the model could thus lead to severely misleading results. Here we introduce the dynamic elastic-net, a data driven mathematical method which automatically detects such model errors in ordinary differential equation (ODE) models. We demonstrate for real and simulated data, how the dynamic elastic-net approach can be used to automatically (i) reconstruct the error signal, (ii) identify the target variables of model error and (iii) reconstruct the true system state even for incomplete or preliminary models. Our work provides a systematic computational method facilitating modelling of open biological systems under uncertain knowledge.
Mitochondrial Dynamics Tracking with Two-Photon Phosphorescent Terpyridyl Iridium(III) Complexes
Authors: Huang Huaiyi , Zhang Pingyu , Qiu Kangqiang , Huang Juanjuan , Chen Yu , Ji Liangnian , Chao Hui 
Published: February 2016

AbstractMitochondrial dynamics, including fission and fusion, control the morphology and function of mitochondria, and disruption of mitochondrial dynamics leads to Parkinson’s disease, Alzheimer’s disease, metabolic diseases, and cancers. Currently, many types of commercial mitochondria probes are available, but high excitation energy and low photo-stability render them unsuitable for tracking mitochondrial dynamics in living cells. Therefore, mitochondrial targeting agents that exhibit superior anti-photo-bleaching ability, deep tissue penetration and intrinsically high three-dimensional resolutions are urgently needed. Two-photon-excited compounds that use low-energy near-infrared excitation lasers have emerged as non-invasive tools for cell imaging. In this work, terpyridyl cyclometalated Ir(III) complexes (Ir1-Ir3) are demonstrated as one- and two-photon phosphorescent probes for real-time imaging and tracking of mitochondrial morphology changes in living cells.
Iron stimulates plasma-activated medium-induced A549 cell injury
Authors: Adachi Tetsuo , Nonomura Saho , Horiba Minori , Hirayama Tasuku , Kamiya Tetsuro , Nagasawa Hideko , Hara Hirokazu 
Published: February 2016

AbstractNon-thermal atmospheric pressure plasma is applicable to living cells and has emerged as a novel technology for cancer therapy. Plasma has recently been shown to affect cells not only by direct irradiation, but also by indirect treatments with previously prepared plasma-activated medium (PAM). Iron is an indispensable element but is also potentially toxic because it generates the hydroxyl radical (•OH) in the presence of hydrogen peroxide (H2O2) via the Fenton reaction. The aim of the present study was to demonstrate the contribution of iron to PAM-induced A549 adenocarcinoma cell apoptosis. We detected the generation of •OH and elevation of intracellular ferrous ions in PAM-treated cells and found that they were inhibited by iron chelator. The elevations observed in ferrous ions may have been due to their release from the intracellular iron store, ferritin. Hydroxyl radical-induced DNA injury was followed by the activation of poly(ADP-ribose) polymerase-1, depletion of NAD+ and ATP and elevations in intracellular Ca2+. The sensitivities of normal cells such as smooth muscle cells and keratinocytes to PAM were less than that of A549 cells. These results demonstrated that H2O2 in PAM and/or •OH generated in the presence of iron ions disturbed the mitochondrial-nuclear network in cancer cells.
Mammalian cells lacking either the cotranslational or posttranslocational oligosaccharyltransferase complex display substrate-dependent defects in asparagine linked glycosylation
Authors: Cherepanova Natalia A. , Gilmore Reid 
Published: February 2016

AbstractAsparagine linked glycosylation of proteins is an essential protein modification reaction in most eukaryotic organisms. Metazoan organisms express two oligosaccharyltransferase complexes that are composed of a catalytic subunit (STT3A or STT3B) assembled with a shared set of accessory subunits and one to two complex specific subunits. siRNA mediated knockdowns of STT3A and STT3B in HeLa cells have shown that the two OST complexes have partially non-overlapping roles in N-linked glycosylation. However, incomplete siRNA mediated depletion of STT3A or STT3B reduces the impact of OST complex loss, thereby complicating the interpretation of experimental results. Here, we have used the CRISPR/Cas9 gene editing technology to create viable HEK293 derived cells lines that are deficient for a single catalytic subunit (STT3A or STT3B) or two STT3B-specific accessory subunits (MagT1 and TUSC3). Analysis of protein glycosylation in the STT3A, STT3B and MagT1/TUSC3 null cell lines revealed that these cell lines are superior tools for investigating the in vivo role and substrate preferences of the STT3A and STT3B complexes.