Showing papers by "Tel Aviv University published in 2017"
Camden and Islington NHS Foundation Trust1, University College London2, King's College London3, University of Melbourne4, University of Exeter5, Brighton and Sussex Medical School6, University of Manchester7, Tel Aviv University8, Johns Hopkins University9, University of Michigan10, Kaiser Permanente11, University of Washington12, University of Montpellier13, University of Edinburgh14, Dalhousie University15, University of Southern California16, University of Oslo17, Innlandet Hospital Trust18
TL;DR: The Lancet Commission on Dementia Prevention, Intervention, and Care met to consolidate the huge strides that have been made and the emerging knowledge as to what the authors should do to prevent and manage dementia.
3,826 citations
University of Texas Health Science Center at Houston1, University of South Florida2, Washington University in St. Louis3, University of Miami4, Stanford University5, Harvard University6, Yeshiva University7, Vanderbilt University8, City of Hope National Medical Center9, Mayo Clinic10, University of California, Los Angeles11, Loyola University Chicago12, University of Rochester13, Sarah Cannon Research Institute14, Rutgers University15, Cleveland Clinic16, Wayne State University17, University of Iowa18, University of Texas MD Anderson Cancer Center19, Tel Aviv University20, University of California, San Diego21
TL;DR: Patients with refractory large B‐cell lymphoma who received CAR T‐cell therapy with axi‐cel had high levels of durable response, with a safety profile that included myelosuppression, the cytokine release syndrome, and neurologic events.
Abstract: BackgroundIn a phase 1 trial, axicabtagene ciloleucel (axi-cel), an autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy, showed efficacy in patients with refractory large B-cell lymphoma after the failure of conventional therapy. MethodsIn this multicenter, phase 2 trial, we enrolled 111 patients with diffuse large B-cell lymphoma, primary mediastinal B-cell lymphoma, or transformed follicular lymphoma who had refractory disease despite undergoing recommended prior therapy. Patients received a target dose of 2×106 anti-CD19 CAR T cells per kilogram of body weight after receiving a conditioning regimen of low-dose cyclophosphamide and fludarabine. The primary end point was the rate of objective response (calculated as the combined rates of complete response and partial response). Secondary end points included overall survival, safety, and biomarker assessments. ResultsAmong the 111 patients who were enrolled, axi-cel was successfully manufactured for 110 (99%) and administered to 101 (91%)....
3,363 citations
University of Tübingen1, World Health Organization2, University of Cape Town3, European Centre for Disease Prevention and Control4, Utrecht University5, Tel Aviv University6, Laval University7, Boston University8, Centers for Disease Control and Prevention9, European Medicines Agency10, Food and Drug Administration11, Biomedical Advanced Research and Development Authority12, University of Melbourne13, University of Otago14, George Washington University15
TL;DR: Future development strategies should focus on antibiotics that are active against multidrug-resistant tuberculosis and Gram-negative bacteria, and include antibiotic-resistant bacteria responsible for community-acquired infections.
Abstract: Summary Background The spread of antibiotic-resistant bacteria poses a substantial threat to morbidity and mortality worldwide. Due to its large public health and societal implications, multidrug-resistant tuberculosis has been long regarded by WHO as a global priority for investment in new drugs. In 2016, WHO was requested by member states to create a priority list of other antibiotic-resistant bacteria to support research and development of effective drugs. Methods We used a multicriteria decision analysis method to prioritise antibiotic-resistant bacteria; this method involved the identification of relevant criteria to assess priority against which each antibiotic-resistant bacterium was rated. The final priority ranking of the antibiotic-resistant bacteria was established after a preference-based survey was used to obtain expert weighting of criteria. Findings We selected 20 bacterial species with 25 patterns of acquired resistance and ten criteria to assess priority: mortality, health-care burden, community burden, prevalence of resistance, 10-year trend of resistance, transmissibility, preventability in the community setting, preventability in the health-care setting, treatability, and pipeline. We stratified the priority list into three tiers (critical, high, and medium priority), using the 33rd percentile of the bacterium's total scores as the cutoff. Critical-priority bacteria included carbapenem-resistant Acinetobacter baumannii and Pseudomonas aeruginosa , and carbapenem-resistant and third-generation cephalosporin-resistant Enterobacteriaceae. The highest ranked Gram-positive bacteria (high priority) were vancomycin-resistant Enterococcus faecium and meticillin-resistant Staphylococcus aureus . Of the bacteria typically responsible for community-acquired infections, clarithromycin-resistant Helicobacter pylori , and fluoroquinolone-resistant Campylobacter spp, Neisseria gonorrhoeae , and Salmonella typhi were included in the high-priority tier. Interpretation Future development strategies should focus on antibiotics that are active against multidrug-resistant tuberculosis and Gram-negative bacteria. The global strategy should include antibiotic-resistant bacteria responsible for community-acquired infections such as Salmonella spp, Campylobacter spp, N gonorrhoeae , and H pylori . Funding World Health Organization.
3,184 citations
Valery L. Feigin1, Amanuel Alemu Abajobir2, Kalkidan Hassen Abate3, Foad Abd-Allah4 +267 more•Institutions (138)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors (GBD) study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions as discussed by the authors.
Abstract: Summary Background Comparable data on the global and country-specific burden of neurological disorders and their trends are crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to neurological disorders in 2015 and its relationship with country development level. Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification have been previously spread across multiple disease groupings. The more inclusive grouping of neurological disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer's disease and other dementias, Parkinson's disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and fertility, to identify patterns associated with development and how countries fare against expected outcomes relative to their level of development. Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4 [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tension-type headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication overuse headache (58·5 [50·8 to 67·4 million]), and Alzheimer's disease and other dementias (46·0 [40·2 to 52·7 million]). Between 1990 and 2015, the number of deaths from neurological disorders increased by 36·7%, and the number of DALYs by 7·4%. These increases occurred despite decreases in age-standardised rates of death and DALYs of 26·1% and 29·7%, respectively; stroke and communicable neurological disorders were responsible for most of these decreases. Communicable neurological disorders were the largest cause of DALYs in countries with low SDI. Stroke rates were highest at middle levels of SDI and lowest at the highest SDI. Most of the changes in DALY rates of neurological disorders with development were driven by changes in YLLs. Interpretation Neurological disorders are an important cause of disability and death worldwide. Globally, the burden of neurological disorders has increased substantially over the past 25 years because of expanding population numbers and ageing, despite substantial decreases in mortality rates from stroke and communicable neurological disorders. The number of patients who will need care by clinicians with expertise in neurological conditions will continue to grow in coming decades. Policy makers and health-care providers should be aware of these trends to provide adequate services. Funding Bill & Melinda Gates Foundation.
2,995 citations
21 Jul 2017
TL;DR: In this article, a unified framework allowing to generalize CNN architectures to non-Euclidean domains (graphs and manifolds) and learn local, stationary, and compositional task-specific features is proposed.
Abstract: Deep learning has achieved a remarkable performance breakthrough in several fields, most notably in speech recognition, natural language processing, and computer vision. In particular, convolutional neural network (CNN) architectures currently produce state-of-the-art performance on a variety of image analysis tasks such as object detection and recognition. Most of deep learning research has so far focused on dealing with 1D, 2D, or 3D Euclidean-structured data such as acoustic signals, images, or videos. Recently, there has been an increasing interest in geometric deep learning, attempting to generalize deep learning methods to non-Euclidean structured data such as graphs and manifolds, with a variety of applications from the domains of network analysis, computational social science, or computer graphics. In this paper, we propose a unified framework allowing to generalize CNN architectures to non-Euclidean domains (graphs and manifolds) and learn local, stationary, and compositional task-specific features. We show that various non-Euclidean CNN methods previously proposed in the literature can be considered as particular instances of our framework. We test the proposed method on standard tasks from the realms of image-, graph-and 3D shape analysis and show that it consistently outperforms previous approaches.
1,594 citations
Northwestern University1, University of Lausanne2, University of Zurich3, Paris-Sorbonne University4, Tel Aviv Sourasky Medical Center5, Emory University6, University of California, San Diego7, Tel Aviv University8, Geisinger Medical Center9, Cleveland Clinic10, Baylor University Medical Center11, University of Pittsburgh12, Tufts University13, University of Texas Health Science Center at Houston14, Karolinska Institutet15, Washington University in St. Louis16, University of Pennsylvania17, University of South Florida18, Seoul National University19, University of Ottawa20, University of Barcelona21, Hamilton Health Sciences22
TL;DR: In the final analysis of this randomized clinical trial of patients with glioblastoma who had received standard radiochemotherapy, the addition of TTFields to maintenance temozolomide chemotherapy vs maintenance Temozolmide alone, resulted in statistically significant improvement in progression-free survival and overall survival.
Abstract: Importance Tumor-treating fields (TTFields) is an antimitotic treatment modality that interferes with glioblastoma cell division and organelle assembly by delivering low-intensity alternating electric fields to the tumor. Objective To investigate whether TTFields improves progression-free and overall survival of patients with glioblastoma, a fatal disease that commonly recurs at the initial tumor site or in the central nervous system. Design, Setting, and Participants In this randomized, open-label trial, 695 patients with glioblastoma whose tumor was resected or biopsied and had completed concomitant radiochemotherapy (median time from diagnosis to randomization, 3.8 months) were enrolled at 83 centers (July 2009-2014) and followed up through December 2016. A preliminary report from this trial was published in 2015; this report describes the final analysis. Interventions Patients were randomized 2:1 to TTFields plus maintenance temozolomide chemotherapy (n = 466) or temozolomide alone (n = 229). The TTFields, consisting of low-intensity, 200 kHz frequency, alternating electric fields, was delivered (≥ 18 hours/d) via 4 transducer arrays on the shaved scalp and connected to a portable device. Temozolomide was administered to both groups (150-200 mg/m2) for 5 days per 28-day cycle (6-12 cycles). Main Outcomes and Measures Progression-free survival (tested at α = .046). The secondary end point was overall survival (tested hierarchically at α = .048). Analyses were performed for the intent-to-treat population. Adverse events were compared by group. Results Of the 695 randomized patients (median age, 56 years; IQR, 48-63; 473 men [68%]), 637 (92%) completed the trial. Median progression-free survival from randomization was 6.7 months in the TTFields-temozolomide group and 4.0 months in the temozolomide-alone group (HR, 0.63; 95% CI, 0.52-0.76;P Conclusions and Relevance In the final analysis of this randomized clinical trial of patients with glioblastoma who had received standard radiochemotherapy, the addition of TTFields to maintenance temozolomide chemotherapy vs maintenance temozolomide alone, resulted in statistically significant improvement in progression-free survival and overall survival. These results are consistent with the previous interim analysis. Trial Registration clinicaltrials.gov Identifier:NCT00916409
1,368 citations
1,199 citations
Ludwig Maximilian University of Munich1, Uppsala University2, Tel Aviv University3, Oregon State University4, Medical University Plovdiv5, Wageningen University and Research Centre6, Pompeu Fabra University7, University of British Columbia8, Technische Universität München9, University of Edinburgh10, University of Wollongong11
TL;DR: In this article, potential pathways linking greenspace to health are presented in three domains, which emphasize three general functions of greenspace: reducing harm (e.g., reducing exposure to air pollution, noise and heat), restoring capacities (i.e., attention restoration and physiological stress recovery), and encouraging physical activity and facilitating social cohesion). Interrelations between among the three domains are also noted.
1,187 citations
Posted Content•
TL;DR: This work introduces a Sparsely-Gated Mixture-of-Experts layer (MoE), consisting of up to thousands of feed-forward sub-networks, and applies the MoE to the tasks of language modeling and machine translation, where model capacity is critical for absorbing the vast quantities of knowledge available in the training corpora.
Abstract: The capacity of a neural network to absorb information is limited by its number of parameters. Conditional computation, where parts of the network are active on a per-example basis, has been proposed in theory as a way of dramatically increasing model capacity without a proportional increase in computation. In practice, however, there are significant algorithmic and performance challenges. In this work, we address these challenges and finally realize the promise of conditional computation, achieving greater than 1000x improvements in model capacity with only minor losses in computational efficiency on modern GPU clusters. We introduce a Sparsely-Gated Mixture-of-Experts layer (MoE), consisting of up to thousands of feed-forward sub-networks. A trainable gating network determines a sparse combination of these experts to use for each example. We apply the MoE to the tasks of language modeling and machine translation, where model capacity is critical for absorbing the vast quantities of knowledge available in the training corpora. We present model architectures in which a MoE with up to 137 billion parameters is applied convolutionally between stacked LSTM layers. On large language modeling and machine translation benchmarks, these models achieve significantly better results than state-of-the-art at lower computational cost.
1,187 citations
Weizmann Institute of Science1, Broad Institute2, Massachusetts Institute of Technology3, Harvard University4, Brigham and Women's Hospital5, Open University of Israel6, University of Texas MD Anderson Cancer Center7, Columbia University8, Sheba Medical Center9, Tel Aviv University10, University of Nebraska Medical Center11
TL;DR: By studying colon cancer models, it is found that bacteria can metabolize the chemotherapeutic drug gemcitabine into its inactive form, 2′,2′-difluorodeoxyuridine, seen primarily in Gammaproteobacteria.
Abstract: Growing evidence suggests that microbes can influence the efficacy of cancer therapies. By studying colon cancer models, we found that bacteria can metabolize the chemotherapeutic drug gemcitabine (2',2'-difluorodeoxycytidine) into its inactive form, 2',2'-difluorodeoxyuridine. Metabolism was dependent on the expression of a long isoform of the bacterial enzyme cytidine deaminase (CDDL), seen primarily in Gammaproteobacteria. In a colon cancer mouse model, gemcitabine resistance was induced by intratumor Gammaproteobacteria, dependent on bacterial CDDL expression, and abrogated by cotreatment with the antibiotic ciprofloxacin. Gemcitabine is commonly used to treat pancreatic ductal adenocarcinoma (PDAC), and we hypothesized that intratumor bacteria might contribute to drug resistance of these tumors. Consistent with this possibility, we found that of the 113 human PDACs that were tested, 86 (76%) were positive for bacteria, mainly Gammaproteobacteria.
923 citations
Proceedings Article•
17 Feb 2017TL;DR: A framework to tackle combinatorial optimization problems using neural networks and reinforcement learning, and Neural Combinatorial Optimization achieves close to optimal results on 2D Euclidean graphs with up to 100 nodes.
Abstract: This paper presents a framework to tackle combinatorial optimization problems using neural networks and reinforcement learning. We focus on the traveling salesman problem (TSP) and train a recurrent network that, given a set of city coordinates, predicts a distribution over different city permutations. Using negative tour length as the reward signal, we optimize the parameters of the recurrent network using a policy gradient method. We compare learning the network parameters on a set of training graphs against learning them on individual test graphs. Despite the computational expense, without much engineering and heuristic designing, Neural Combinatorial Optimization achieves close to optimal results on 2D Euclidean graphs with up to 100 nodes. Applied to the KnapSack, another NP-hard problem, the same method obtains optimal solutions for instances with up to 200 items.
01 Apr 2017
TL;DR: This article showed that weight tying can reduce the size of neural translation models to less than half of their original size without harming their performance and proposed a new method of regularizing the output embedding.
Abstract: We study the topmost weight matrix of neural network language models. We show that this matrix constitutes a valid word embedding. When training language models, we recommend tying the input embedding and this output embedding. We analyze the resulting update rules and show that the tied embedding evolves in a more similar way to the output embedding than to the input embedding in the untied model. We also offer a new method of regularizing the output embedding. Our methods lead to a significant reduction in perplexity, as we are able to show on a variety of neural network language models. Finally, we show that weight tying can reduce the size of neural translation models to less than half of their original size without harming their performance.
TL;DR: A wide variety of CaPs are presented, from the individual phases to nano-CaP, biphasic and triphasic CaP formulations, composite CaP coatings and cements, functionally graded materials (FGMs), and antibacterial CaPs.
Abstract: Calcium phosphate (CaP) bioceramics are widely used in the field of bone regeneration, both in orthopedics and in dentistry, due to their good biocompatibility, osseointegration and osteoconduction. The aim of this article is to review the history, structure, properties and clinical applications of these materials, whether they are in the form of bone cements, paste, scaffolds, or coatings. Major analytical techniques for characterization of CaPs, in vitro and in vivo tests, and the requirements of the US Food and Drug Administration (FDA) and international standards from CaP coatings on orthopedic and dental endosseous implants, are also summarized, along with the possible effect of sterilization on these materials. CaP coating technologies are summarized, with a focus on electrochemical processes. Theories on the formation of transient precursor phases in biomineralization, the dissolution and reprecipitation as bone of CaPs are discussed. A wide variety of CaPs are presented, from the individual phases to nano-CaP, biphasic and triphasic CaP formulations, composite CaP coatings and cements, functionally graded materials (FGMs), and antibacterial CaPs. We conclude by foreseeing the future of CaPs.
University of Zurich1, Northwestern University2, University Hospital of Lausanne3, French Institute of Health and Medical Research4, Tel Aviv Sourasky Medical Center5, University of California, San Diego6, Emory University7, Tel Aviv University8, Geisinger Health System9, Cleveland Clinic10, Baylor University Medical Center11, University of Pittsburgh12, University of Texas Health Science Center at Houston13, Tufts Medical Center14, Karolinska University Hospital15, Barnes-Jewish Hospital16, University of Pennsylvania17, Seoul National University Bundang Hospital18, Seoul National University19, Ottawa Hospital Research Institute20, Juravinski Cancer Centre21
TL;DR: The critical impact of systemic immune responses that drive tumor rejection are demonstrated by developing intuitive models for visualizing single-cell data with statistical inference and analyzing immune responses in several tissues after immunotherapy.
Tel Aviv University1, University of New Hampshire2, Leibniz Association3, University of Saskatchewan4, Kansas State University5, Hebrew University of Jerusalem6, Agricultural Research Organization, Volcani Center7, Montana State University8, University of Haifa9, United States Department of Agriculture10, University of Illinois at Urbana–Champaign11, Weizmann Institute of Science12, University of Minnesota13, University of Bologna14, National Research Council15, Ben-Gurion University of the Negev16, University of Tsukuba17, Technische Universität München18
TL;DR: A 10.1-gigabase assembly of the 14 chromosomes of wild tetraploid wheat, as well as analyses of gene content, genome architecture, and genetic diversity reveal genomic regions bearing the signature of selection under domestication.
Abstract: Wheat (Triticum spp.) is one of the founder crops that likely drove the Neolithic transition to sedentary agrarian societies in the Fertile Crescent more than 10,000 years ago. Identifying genetic modifications underlying wheat's domestication requires knowledge about the genome of its allo-tetraploid progenitor, wild emmer (T. turgidum ssp. dicoccoides). We report a 10.1-gigabase assembly of the 14 chromosomes of wild tetraploid wheat, as well as analyses of gene content, genome architecture, and genetic diversity. With this fully assembled polyploid wheat genome, we identified the causal mutations in Brittle Rachis 1 (TtBtr1) genes controlling shattering, a key domestication trait. A study of genomic diversity among wild and domesticated accessions revealed genomic regions bearing the signature of selection under domestication. This reference assembly will serve as a resource for accelerating the genome-assisted improvement of modern wheat varieties.
TL;DR: This review will discuss recent progress made in the field of functional and artificial amyloids and highlight connections between protein/peptide folding, unfolding and aggregation mechanisms, with the resulting amyloid structure and functionality.
Abstract: Self-assembled peptide and protein amyloid nanostructures have traditionally been considered only as pathological aggregates implicated in human neurodegenerative diseases. In more recent times, these nanostructures have found interesting applications as advanced materials in biomedicine, tissue engineering, renewable energy, environmental science, nanotechnology and material science, to name only a few fields. In all these applications, the final function depends on: (i) the specific mechanisms of protein aggregation, (ii) the hierarchical structure of the protein and peptide amyloids from the atomistic to mesoscopic length scales and (iii) the physical properties of the amyloids in the context of their surrounding environment (biological or artificial). In this review, we will discuss recent progress made in the field of functional and artificial amyloids and highlight connections between protein/peptide folding, unfolding and aggregation mechanisms, with the resulting amyloid structure and functionality. We also highlight current advances in the design and synthesis of amyloid-based biological and functional materials and identify new potential fields in which amyloid-based structures promise new breakthroughs.
California Institute of Technology1, Tel Aviv University2, Goddard Space Flight Center3, University of Maryland, College Park4, University of Wisconsin–Milwaukee5, Stockholm University6, Princeton University7, Liverpool John Moores University8, National Central University9, Hebrew University of Jerusalem10, Australian Research Council11, University of Sydney12, Indian Institute of Astrophysics13, Indian Institute of Science14, Commonwealth Scientific and Industrial Research Organisation15, University of Colorado Boulder16, Columbia University17, University of Washington18, Indian Institute of Technology Bombay19, Inter-University Centre for Astronomy and Astrophysics20, Lawrence Berkeley National Laboratory21, University of California, Berkeley22, George Washington University23, Texas Tech University24, University College London25, University of Leicester26, Space Telescope Science Institute27, National Radio Astronomy Observatory28, University of Southampton29, University of Portsmouth30, Radboud University Nijmegen31, Tokyo Institute of Technology32, Max Planck Society33, Northwestern University34, Adler Planetarium35, University of Oxford36, Weizmann Institute of Science37, San Diego State University38, Institute for the Physics and Mathematics of the Universe39, University of California, Merced40
TL;DR: It is demonstrated that merging neutron stars are a long-sought production site forging heavy elements by r-process nucleosynthesis, which is dissimilar to classical short gamma-ray bursts with ultrarelativistic jets.
Abstract: Merging neutron stars offer an excellent laboratory for simultaneously studying strong-field gravity and matter in extreme environments. We establish the physical association of an electromagnetic counterpart (EM170817) with gravitational waves (GW170817) detected from merging neutron stars. By synthesizing a panchromatic data set, we demonstrate that merging neutron stars are a long-sought production site forging heavy elements by r-process nucleosynthesis. The weak gamma rays seen in EM170817 are dissimilar to classical short gamma-ray bursts with ultrarelativistic jets. Instead, we suggest that breakout of a wide-angle, mildly relativistic cocoon engulfing the jet explains the low-luminosity gamma rays, the high-luminosity ultraviolet-optical-infrared, and the delayed radio and x-ray emission. We posit that all neutron star mergers may lead to a wide-angle cocoon breakout, sometimes accompanied by a successful jet and sometimes by a choked jet.
University of Toronto1, Tulane University2, Ohio State University3, Hannover Medical School4, University of Texas Southwestern Medical Center5, Washington University in St. Louis6, University of California, San Francisco7, Laval University8, Boston Children's Hospital9, University of Hamburg10, University of Pennsylvania11, Sheba Medical Center12, University of Padua13, University of Pittsburgh14, Oregon Health & Science University15, Medical College of Wisconsin16, University of New South Wales17, Medical University of South Carolina18, University of Manitoba19, Tel Aviv University20, Tel Aviv Sourasky Medical Center21, Saint George Hospital22, University of Wisconsin-Madison23
TL;DR: An extensive assessment of mutation burden through sequencing analysis of >81,000 tumors from pediatric and adult patients, including tumors with hypermutation caused by chemotherapy, carcinogens, or germline alterations, uncovered new driver mutations in the replication-repair-associated DNA polymerases and a distinct impact of microsatellite instability and replication repair deficiency on the scale of mutation load.
TL;DR: Optical to near-infrared observations of a transient coincident with the detection of the gravitational-wave signature of a binary neutron-star merger and with a low-luminosity short-duration γ-ray burst are reported.
Abstract: The merger of two neutron stars has been predicted to produce an optical–infrared transient (lasting a few days) known as a ‘kilonova’, powered by the radioactive decay of neutron-rich species synthesized in the merger. Evidence that short γ-ray bursts also arise from neutron-star mergers has been accumulating. In models of such mergers, a small amount of mass (10^(−4)–10^(−2) solar masses) with a low electron fraction is ejected at high velocities (0.1–0.3 times light speed) or carried out by winds from an accretion disk formed around the newly merged object. This mass is expected to undergo rapid neutron capture (r-process) nucleosynthesis, leading to the formation of radioactive elements that release energy as they decay, powering an electromagnetic transient. A large uncertainty in the composition of the newly synthesized material leads to various expected colours, durations and luminosities for such transients. Observational evidence for kilonovae has so far been inconclusive because it was based on cases of moderate excess emission detected in the afterglows of γ-ray bursts. Here we report optical to near-infrared observations of a transient coincident with the detection of the gravitational-wave signature of a binary neutron-star merger and with a low-luminosity short-duration γ-ray burst20. Our observations, taken roughly every eight hours over a few days following the gravitational-wave trigger, reveal an initial blue excess, with fast optical fading and reddening. Using numerical models, we conclude that our data are broadly consistent with a light curve powered by a few hundredths of a solar mass of low-opacity material corresponding to lanthanide-poor (a fraction of 10^(−4.5) by mass) ejecta.
TL;DR: All these approaches to genetic analysis using networks are variations of a unifying mathematical machinery — network propagation — suggesting that it is a powerful data transformation method of broad utility in genetic research.
Abstract: Biological networks are powerful resources for the discovery of genes and genetic modules that drive disease. Fundamental to network analysis is the concept that genes underlying the same phenotype tend to interact; this principle can be used to combine and to amplify signals from individual genes. Recently, numerous bioinformatic techniques have been proposed for genetic analysis using networks, based on random walks, information diffusion and electrical resistance. These approaches have been applied successfully to identify disease genes, genetic modules and drug targets. In fact, all these approaches are variations of a unifying mathematical machinery - network propagation - suggesting that it is a powerful data transformation method of broad utility in genetic research.
University of Tartu1, Tartu University Hospital2, McMaster University3, University of Lausanne4, Université catholique de Louvain5, University of Adelaide6, Medical University of Graz7, University of Vienna8, University of Nice Sophia Antipolis9, University of Bern10, Maastricht University11, Université libre de Bruxelles12, Tel Aviv University13, Rabin Medical Center14, Ghent University Hospital15, King's College London16, Karolinska University Hospital17, Queen Elizabeth Hospital Birmingham18, Katholieke Universiteit Leuven19, VU University Medical Center20
TL;DR: EEN reduced infectious complications in unselected critically ill patients, in patients with severe acute pancreatitis, and after GI surgery, and did not detect any evidence of superiority for early PN or delayed EN over EEN.
Abstract: Purpose
To provide evidence-based guidelines for early enteral nutrition (EEN) during critical illness.
TL;DR: This paper presents a short overview of the changes to the trigger and data acquisition systems during the first long shutdown of the LHC and shows the performance of the trigger system and its components based on the 2015 proton–proton collision data.
Abstract: During 2015 the ATLAS experiment recorded 3.8 fb(-1) of proton-proton collision data at a centre-of-mass energy of 13 TeV. The ATLAS trigger system is a crucial component of the experiment, respons ...
California Institute of Technology1, Texas Tech University2, University of Oxford3, Princeton University4, York University5, Tel Aviv University6, University of Wisconsin–Milwaukee7, National Radio Astronomy Observatory8, Australian Research Council9, University of Sydney10, Commonwealth Scientific and Industrial Research Organisation11, Indian Institute of Technology Bombay12, Tata Institute of Fundamental Research13, United States Naval Research Laboratory14, Hebrew University of Jerusalem15, First Green Bank16, Radboud University Nijmegen17, Inter-University Centre for Astronomy and Astrophysics18, Goddard Space Flight Center19
TL;DR: In this paper, the authors reported the detection of a counterpart radio source that appears 16 days after the GW170817 binary neutron star merger event, allowing them to diagnose the energetics and environment of the merger.
Abstract: Gravitational waves have been detected from a binary neutron star merger event, GW170817. The detection of electromagnetic radiation from the same source has shown that the merger occurred in the outskirts of the galaxy NGC 4993, at a distance of 40 megaparsecs from Earth. We report the detection of a counterpart radio source that appears 16 days after the event, allowing us to diagnose the energetics and environment of the merger. The observed radio emission can be explained by either a collimated ultrarelativistic jet, viewed off-axis, or a cocoon of mildly relativistic ejecta. Within 100 days of the merger, the radio light curves will enable observers to distinguish between these models, and the angular velocity and geometry of the debris will be directly measurable by very long baseline interferometry.
Posted Content•
TL;DR: The white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.
Abstract: This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.
TL;DR: This article provides a summary of the changes to Chapter 4 Tumours of the oral cavity and mobile tongue and Chapter 8 Odontogenic and maxillofacial bone tumours.
Abstract: The 4th edition of the World Health Organization's Classification of Head and Neck Tumours was published in January of 2017. This article provides a summary of the changes to Chapter 4 Tumours of the oral cavity and mobile tongue and Chapter 8 Odontogenic and maxillofacial bone tumours. Odontogenic cysts which were eliminated from the 3rd 2005 edition were included in the 4th edition as well as other unique allied conditons of the jaws. Many new tumors published since 2005 have been included in the 2017 classification.
TL;DR: Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS and is exploited to apply a local energy calibration and corrections depending on the nature of the cluster.
Abstract: The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.
TL;DR: The recommended perioperative management of patients with IBD undergoing surgery accords with general ESPEN guidance for patients having abdominal surgery, and primary therapy using nutrition to treat IBD is moderately well supported in Crohn's disease.
TL;DR: There are some fundamental and very significant hurdles yet to overcome in order to achieve the potential contributions that seaweed cultivation may provide the world, and an outline for future needs is provided in the anticipation that phycologists around the world will rise to the challenge.
Abstract: The use of seaweeds has a long history, as does the cultivation of a select and relatively small group of species. This review presents several aspects of seaweed production, such as an update on t...
TL;DR: This condition is proposed to be defined as "obese sarcopenia", to reflect the direction of the pathological pathway, and it is believed that AT inflammation dominates over skeletal muscle inflammation.