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276 results

1. Introduction to Deep Learning

Author

David Paper

Subjects
ComputingMilieux_GENERAL, World Wide Web, business.industry, Computer science, Deep learning, Cloud computing, Artificial intelligence, Python (programming language), business, computer, computer.programming_language, Coding (social sciences)
Abstract

We introduce the basic concepts of deep learning. We use TensorFlow 2.x, the Google cloud service, and Google Drive interaction to make the concepts come alive with Python coding examples.

Published
2021

2. Automation, Offshoring and Employment Distribution in Western Europe

Author

GATE Working Paper Series and Jocelyn Maillard

Subjects
Counterfactual thinking, Labour economics, Offshoring, General equilibrium theory, business.industry, media_common.quotation_subject, Polarization (politics), Distribution (economics), Automation, Capital (economics), Economics, business, Welfare, media_common
Abstract

This paper investigates the effects of automation and offshoring on the dynamics of the occupational distribution of employment with a focus on Western Europe between 2000 and 2016. I use a general equilibrium model with three regions, three types of workers, ICT capital, trade in final goods and endogenous offshoring. Fed with exogenous measures of ICT-capital prices and trade costs, the model replicates key features of the data. It matches the observed dynamics of offshoring to Eastern Europe and Asian countries. It also reproduces accurately the observed polarization of the labor market: abstract and manual labor increase while routine labor falls. A counterfactual experiment reveals that automation is the main driver of polarization. Since it is also the only factor that drives individuals to become abstract (highskill) workers, it is welfare enhancing. The effects of falling trade costs on labor polarization are smaller, but imply welfare gains.

Published
2021

3. Build TensorFlow Input Pipelines

Author

David Paper

Subjects
Pipeline transport, Engineering drawing, Sequence, Computer science, Simple (abstract algebra), business.industry, Component (UML), Deep learning, Artificial intelligence, Learning models, business, Abstraction (linguistics)
Abstract

We introduce you to TensorFlow input pipelines with the tf.data API, which enables you to build complex input pipelines from simple, reusable pieces. Input pipelines are the lifeblood of any deep learning experiment because learning models expect data in a TensorFlow consumable form. It is very easy to create high-performance pipelines with the tf.data.Dataset abstraction (a component of the tf.data API) because it represents a sequence of elements from a dataset in a simple format.

Published
2021

4. Deep Learning with TensorFlow Datasets

Author

David Paper

Subjects
business.industry, Computer science, Simple (abstract algebra), Deep learning, Artificial intelligence, Machine learning, computer.software_genre, business, computer
Abstract

In the previous chapter, we demonstrated how to work with TFDS objects. In this chapter, we work through two end-to-end deep learning experiments with large and complex TFDS objects. The Fashion-MNIST and beans datasets are small with simple images.

Published
2021

5. Automated Text Generation

Author

David Paper

Subjects
Network architecture, Ideal (set theory), Artificial neural network, Contextual image classification, business.industry, Computer science, Feed forward, Pattern recognition, ComputingMethodologies_PATTERNRECOGNITION, Flow (mathematics), Text generation, Artificial intelligence, Layer (object-oriented design), business
Abstract

Feedforward neural nets are generally great for classification and regression problems. CNNs are great for complex image classification. But activations for feedforward nets and CNNs flow only in one direction, from the input layers to the output layer. Since signals flow in only one direction, feedforward and convolutional nets are not ideal if patterns in data change over time. So we need a different network architecture to work with data impacted by time.

Published
2021

6. Time Series Forecasting with RNNs

Author

David Paper

Subjects
Multivariate statistics, Computer science, business.industry, Univariate, Artificial intelligence, Time series, business, Machine learning, computer.software_genre, computer
Abstract

We’ve already leveraged RNNs for NLP. In this chapter, we create experiments to forecast with time series data. We use the famous Weather dataset to demonstrate both a univariate and a multivariate example.

Published
2021

7. Private Retirement Systems and Sustainability: Insights from Australia, the UK, and the US

Author

PRC Working Papers, Nathan Fabian, Mikael Homanen, Nikolaj Pedersen, and Morgan Slebos

Subjects
History, Polymers and Plastics, Public economics, Interview, Plan (drawing), Service provider, Investment (macroeconomics), Industrial and Manufacturing Engineering, Financial regulation, Capital (economics), Sustainability, Business, Business and International Management, National Pension
Abstract

Retirement system sustainability is defined as the ability of plan boards and managers to be responsible investors, active stewards, and allocators of capital to economic activities with desirable social and environmental outcomes. In this paper, we examine the policy frameworks and important structural variables pertinent to private retirement systems in Australia, the UK, and the US. By analyzing various reports, interviewing experts, and using data from the Principles of Responsible Investment as well as national pension and retirement authorities, we identify key structural challenges within national retirement systems. These include market fragmentation, principal-agent conflicts in personal pensions, and the role of service providers. Our results provide insight into how, or whether, retirement systems can facilitate desirable economic, social, and environmental outcomes.

Published
2021

8. Competition in the Black Market: Estimating the Causal Effect of Gangs in Chicago

Author

Bravo Center Working Paper Series and Jesse Bruhn

Subjects
Competition (economics), business.industry, Crime displacement, Public housing, Political science, Causal effect, Event study, Household income, Distribution (economics), Black market, Criminology, business
Abstract

I study criminal street gangs using new data that describes the geospatial distribution of gang territory in Chicago and its evolution over a 15-year period. Using an event study design, I show that city blocks entered by gangs experience sharp increases in the number of reported batteries (6%), narcotics violations (18.5%), weapons violations (9.8%), incidents of prostitution (51.9%), and criminal trespassing (19.6%). I also find a sharp reduction in the number of reported robberies (-8%). The findings cannot be explained by pre-existing trends in crime, changes in police surveillance, crime displacement, exposure to public housing demolitions, reporting effects, or demographic trends. Taken together, the evidence suggests that gangs cause small increases in violence in highly localized areas as a result of conflict over illegal markets. I also find evidence that gangs cause reductions in median property values (-$8,436.9) and household income (-$1,866.8). Motivated by these findings, I explore the relationship between the industrial organization of the black market and the supply of criminal activity. I find that gangs that are more internally fractured or operate in more competitive environments tend to generate more crime. This finding is inconsistent with simple, market-based models of criminal behavior, suggesting an important role for behavioral factors and social interactions in the production of gang violence.

Published
2021

9. Increase the Diversity of Your Dataset with Data Augmentation

Author

David Paper

Subjects
Training set, business.industry, Computer science, Deep learning, Artificial intelligence, business, Machine learning, computer.software_genre, computer, Diversity (business)
Abstract

We guide you in the creation of augmented data experiments to increase the diversity of a training set by applying random (but realistic) transformations. Data augmentation is very useful for small datasets because deep learning models crave a lot of data to perform well.

Published
2021

10. Using MNE Foreign Affiliate Data to Estimate Foreign Direct Investment via Ultimate Investing Country: A New Methodology Developed for USAID in Vietnam

Author

Duke Global Working Paper Series Submitter and Seth Heller

Subjects
Official statistics, Multinational corporation, Agency (sociology), International economics, Foreign direct investment, Business, International development, Investment (macroeconomics), International finance, Special purpose entity
Abstract

Official foreign direct investment (FDI) statistics track FDI via direct investing nation rather than ultimate investing country (UIC). If a FDI project is sourced through an overseas subsidiary, normal FDI metrics will register that investment as being from the third country, not the home country of the multinational. There is a growing awareness that the large amount of FDI channeled through special purpose vehicles and offshore financial centers therefore makes official statistics unreliable: investment from certain nations may be significantly under or over counted. According to official statistics, the United States ranks 11th in terms of total amount of foreign direct investment (FDI) in Vietnam. As Vietnam joins the ranks of lower middle-income countries, and becomes more integrated into global value chains, a more representative methodology for calculating FDI would help Vietnam thoughtfully engage with foreign investors and support Vietnam's development objectives. This report, commissioned by the United States Agency for International Development (USAID) in Hanoi includes: 1) A literature review of FDI databases and FDI tracking methods, 2) a comparative analysis of the existing methods for tracking FDI via UIC, 3) a discussion on the feasibility of implementing those methods for Vietnam, 4) a novel method for estimating Vietnam’s inward FDI via UIC, 6) recommendations to USAID for further research and analysis.

Published
2021

11. Kansas’ Experiment with Private Deposit Insurance

Author

FDIC Working Paper Series, Lee Davison, and Carlos D. Ramirez

Subjects
Probability of failure, Finance, business.industry, Moral hazard, Deposit insurance, business, National bank
Abstract

Between 1909 and 1922 a private deposit insurance company coexisted with the state-sponsored deposit insurance program in Kansas. This paper documents its development using primary sources. In addition, it examines if affiliation with the private deposit insurance (i) had an effect on risk-taking and the probability of failure; (ii) increased confidence among depositors, and (iii) was influenced by a neighboring bank’s membership in the state’s deposit insurance. We find that affiliation with the private deposit insurance did not affect a bank’s likelihood of failure, although smaller national bank members did increase risk-taking. The evidence does not support the hypothesis that the company enhanced depositor confidence. Lastly, we do find strong evidence that a bank’s decision to join the private deposit insurance was influenced by neighboring banks’ affiliation with the Kansas deposit insurance program.

Published
2021

12. Risk-Taking and Tail Events Across Trading Institutions

Author

GATE Working Paper Series, Brice Corgnet, Camille Cornand, and Nobuyuki Hanaki

Subjects
Experimental finance, Financial asset, Mechanism (biology), Monetary economics, Business, Risk taking, Baseline (configuration management)
Abstract

We study the reaction of investors to tail events across trading institutions. We conduct experiments in which investors bid on a financial asset that delivers a small positive reward in more than 99% of the cases and a large loss otherwise. The baseline treatment uses a repeated BDM mechanism whereas the market treatment replaces the uniform draw of the BDM mechanism by a uniform draw over the bids of the other participants. Our design is such that bids should not differ across treatments in normal times while allowing for potential differences to emerge after tail events have occurred. We find that markets tend to exacerbate the reaction of investors to tail losses and we attribute this effect to emotions.

Published
2021

13. An Introduction to Reinforcement Learning

Author

David Paper

Subjects
Intelligent agent, business.industry, Computer science, Order (business), media_common.quotation_subject, Reinforcement learning, Artificial intelligence, business, computer.software_genre, Function (engineering), computer, ComputingMilieux_MISCELLANEOUS, media_common
Abstract

Reinforcement learning (RL) is an area of machine learning that focuses on teaching intelligent agents how to take actions in an environment in order to maximize cumulative reward. Cumulative reward in RL is the sum of all rewards as a function of the number of training steps.

Published
2021

14. Convolutional and Variational Autoencoders

Author

David Paper

Subjects
business.industry, Computer science, Feed forward, Pattern recognition, Artificial intelligence, business
Abstract

Autoencoders don’t typically work well with images unless they are very small. But convolutional and variational autoencoders work much better than feedforward dense ones with large color images.

Published
2021

15. Convolutional Neural Networks

Author

David Paper

Subjects
Computer science, business.industry, Computer Science::Neural and Evolutionary Computation, Pattern recognition, Space (mathematics), Convolutional neural network, ComputingMethodologies_PATTERNRECOGNITION, Simple (abstract algebra), Computer Science::Computer Vision and Pattern Recognition, Feedforward neural network, Pixel matrix, Artificial intelligence, business, Training performance, MNIST database
Abstract

With feedforward neural networks, we achieved good training performance with MNIST and Fashion-MNIST datasets. But images in these datasets are simple and centered within the input space that contains them. That is, they are centered within the pixel matrix that holds them. Input space is all the possible inputs to a model.

Published
2021

16. Build Your First Neural Network with Google Colab

Author

David Paper

Subjects
World Wide Web, Work (electrical), Artificial neural network, business.industry, Computer science, Deep learning, Cloud computing, Artificial intelligence, Python (programming language), business, computer, computer.programming_language
Abstract

We work through a complete deep learning example with Python’s TensorFlow 2.x library in the Google Colab cloud service. We also demonstrate how to link your Google Drive with the Colab cloud service.

Published
2021

17. Impacts of Solar Subsidy: Evidence from Geographic Regression Discontinuity Design in Nepal

Author

Bishal Bharadwaj, Ngawang Dendup, Subhrendu K. Pattanayak, Peta Ashworth, and Duke Global Working Paper Series Submitter

Subjects
History, Polymers and Plastics, Inequality, business.industry, media_common.quotation_subject, Wage, Developing country, Context (language use), Subsidy, Industrial and Manufacturing Engineering, Work (electrical), Regression discontinuity design, Demographic economics, Business, Business and International Management, media_common, Downstream (petroleum industry)
Abstract

Technology can help to reduce inefficiencies and inequalities in developing countries. Although whether this happens in practice often depends on the social and geographic context. Deployment of solar home systems (SHS) across Nepal provides one such example. We examine a policy to promote SHS through a subsidy for adoption and its downstream benefits - children’s education, time allocated to agricultural and household work (both unpaid), and working for a wage. We overcome the challenges of the non-random assignment of subsidies by using geographic regression discontinuity design using (cost) distance as the assignment variable. This is based on the assumption that households cannot perfectly control the assignment variable because migrating to a different region, simply to acquire an additional solar subsidy of maximum NRs4000, is challenging and unlikely in the case of Nepal. Our results show that subsidy-eligible households are about 43% more likely to adopt SHS. We find a positive effect of the SHS adoption on the grade for age and educational z-score of children’s educations with the effect being higher on girls than boys. We also find that females are 14.2% more likely to participate and spend more time (about 19 extra days in a year) in agricultural practices by reducing their engagement in family work. However, there is no effect on the participation rates across the labour market. Results also show that males increase their contribution to household work.

Published
2021

18. Simple Transfer Learning with TensorFlow Hub

Author

David Paper

Subjects
Artificial neural network, Download, business.industry, Process (engineering), Computer science, Learning models, Open source, Scratch, Simple (abstract algebra), Artificial intelligence, business, Transfer of learning, computer, computer.programming_language
Abstract

Transfer learning is the process of creating new learning models by fine-tuning previously trained neural networks. Instead of training a network from scratch, we download a pre-trained open source learning model and fine-tune it for our own purpose. A pre-trained model is one that is created by someone else to solve a similar problem. We can use one of these instead of building our own model. A big advantage is that a pre-trained model has been crafted by experts, so we can be confident that it performs at a high level (in most cases). Another advantage is that we don’t have to have a lot of data to use a pre-trained model.

Published
2021

19. Generative Adversarial Networks

Author

David Paper

Subjects
Adversarial system, Generative model, Training set, business.industry, Computer science, Unsupervised learning, Artificial intelligence, business, Generative adversarial network, Generative grammar, Generative modeling
Abstract

Generative modeling is an unsupervised learning technique that involves automatically discovering and learning the regularities (or patterns) in input data so that a trained model can generate new examples that plausibly could have been drawn from the original dataset. A popular type of generative model is a generative adversarial network. Generative adversarial networks (GANs) are generative models that create new data instances that resemble the training data.

Published
2021

20. Introduction to Tensor Processing Units

Author

David Paper

Subjects
Tensor processing unit, business.industry, Computer science, Deep learning, Integrated circuit, law.invention, Computer engineering, Application-specific integrated circuit, law, Tensor (intrinsic definition), Code (cryptography), Google Brain, Artificial intelligence, business
Abstract

We introduce you to Tensor Processing Units with code examples. A Tensor Processing Unit (TPU) is an application-specific integrated circuit (ASIC) designed to accelerate ML workloads. The TPUs available in TensorFlow are custom-developed from the ground up by the Google Brain team based on its plethora of experience and leadership in the ML community. Google Brain is a deep learning artificial intelligence (AI) research team at Google who research ways to make machines intelligent for the improvement of people’s lives.

Published
2021

21. Risk prediction tools in cardiovascular disease prevention: A report from the ESC Prevention of CVD Programme led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP)

Author

Xavier Rossello, Jannick AN Dorresteijn, Arne Janssen, Ekaterini Lambrinou, Martijn Scherrenberg, Eric Bonnefoy-Cudraz, Mark Cobain, Massimo F Piepoli, Frank LJ Visseren, Paul Dendale, null This paper is a co-publication betw, Centro Nacional de Investigaciones Cardiovasculares Carlos III [Madrid, Spain] (CNIC), Instituto de Salud Carlos III [Madrid] (ISC), Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), University Medical Center [Utrecht], Jessa Ziekenhuis [Hasselt], Cyprus University of Technology, Hasselt University (UHasselt), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Service de Cardiologie Lyon (Hôpital Louis Pradel [CHU - HCL]), Hôpital Louis Pradel [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Imperial College London, University of Southern California (USC), Rossello, Xavier/0000-0001-6783-8463, Rossello, Xavier, Dorresteijn, Jannick A. N., JANSSEN, Arne, Lambrinou, Ekaterini, SCHERRENBERG, Martijn, Bonnefoy-Cudraz, Eric, Cobain, Mark, Piepoli, Massimo F., Visseren, Frank L. J., DENDALE, Paul, CarMeN, laboratoire, Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
Male, Time Factors, Epidemiology, [SDV]Life Sciences [q-bio], Allied Health Personnel, Disease, 030204 cardiovascular system & hematology, Critical Care and Intensive Care Medicine, Medical and Health Sciences, 0302 clinical medicine, prevention, Risk Factors, cardiovascular disease, Preventive Health Services, Advanced and Specialised Nursing, 030212 general & internal medicine, Cardiovascular nursing, Societies, Medical, Aged, 80 and over, biology, risk assessment, General Medicine, Middle Aged, Prognosis, Risk prediction, 3. Good health, [SDV] Life Sciences [q-bio], Preventive cardiology, Europe, Primary Prevention, Medical–Surgical Nursing, Cardiovascular Diseases, Practice Guidelines as Topic, Female, patient, Cardiology and Cardiovascular Medicine, Risk assessment, Algorithms, Adult, Cardiovascular Nursing, medicine.medical_specialty, Critical Care, Clinical Decision-Making, Cardiology, Decision Support Techniques, 03 medical and health sciences, Predictive Value of Tests, Health Sciences, Medical–Surgical, medicine, Humans, Medical history, Intensive care medicine, Association (psychology), Aged, Advanced and Specialized Nursing, patient Keywords Risk prediction, Acca, Models, Statistical, business.industry, biology.organism_classification, Lifetime risk, business, Forecasting
Abstract

Risk assessment and risk prediction have become essential in the prevention of cardiovascular disease. Even though risk prediction tools are recommended in the European guidelines, they are not adequately implemented in clinical practice. Risk prediction tools are meant to estimate prognosis in an unbiased and reliable way and to provide objective information on outcome probabilities. They support informed treatment decisions about the initiation or adjustment of preventive medication. Risk prediction tools facilitate risk communication to the patient and their family, and this may increase commitment and motivation to improve their health. Over the years many risk algorithms have been developed to predict 10-year cardiovascular mortality or lifetime risk in different populations, such as in healthy individuals, patients with established cardiovascular disease and patients with diabetes mellitus. Each risk algorithm has its own limitations, so different algorithms should be used in different patient populations. Risk algorithms are made available for use in clinical practice by means of - usually interactive and online available - tools. To help the clinician to choose the right tool for the right patient, a summary of available tools is provided. When choosing a tool, physicians should consider medical history, geographical region, clinical guidelines and additional risk measures among other things. Currently, the website is the only risk prediction tool providing prediction algorithms for all patient categories, and its implementation in clinical practice is suggested/advised by the European Association of Preventive Cardiology. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this paper was produced within the framework of the ESC Prevention of Cardiovascular Disease Programme which is led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP). The ESC Prevention of Cardiovascular Disease Programme is supported by unrestricted educational grants. The authors received no financial support for the research, authorship, and/or publication of this article. Rossello, X (corresponding author), Ctr Nacl Invest Cardiovasc CNIC Carlos III, Melchor Fernandez Almagro 3, Madrid 28029, Spain. fjrossello@cnic.es

Published
2020

22. Scikit-Learn Classifier Tuning from Complex Training Sets

Author

David Paper

Subjects
Complex training, Computer science, business.industry, Pattern recognition, Artificial intelligence, business, Classifier (UML)
Abstract

Now that we have practiced tuning low-dimensional (or simple) data, we are ready to experiment tuning high-dimensional (or complex) data sets. Low-dimensional data consists of a limited number of features, whereas high-dimensional data consists of a very high number of features.

Published
2019

23. Introduction to Scikit-Learn

Author

David Paper

Subjects
business.industry, Computer science, Unsupervised learning, Artificial intelligence, Python (programming language), Machine learning, computer.software_genre, business, computer, computer.programming_language
Abstract

We combine the Anaconda distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised machine learning algorithms supplemented with unsupervised learning algorithms where appropriate. With clear examples, all written in Python, we demonstrate how these algorithms work to solve machine learning problems.

Published
2019

24. Classification from Simple Training Sets

Author

David Paper

Subjects
Complex data type, Data set, Matrix (mathematics), Data element, Simple (abstract algebra), business.industry, Computer science, Feature vector, Pattern recognition, Artificial intelligence, Feature set, business
Abstract

Classification from complex data is handled exactly as with simple data. Data is loaded into feature set X and target y. X data is composed of a matrix of vectors where each vector represents a data element and y data is composed of a vector of targets. However, complex data is composed of a high number of features (hundreds to thousands). Such a data set is commonly referred to as one with a high-dimensional feature space. Text data is also complex because each document must be converted into vectors of numerical values suitable for machine learning algorithms.

Published
2019

25. FUTURE DEVELOPMENT OF SECURITY PRINTING AND RFID MARKS

Author

Iskren Spiridonov, Paper, Sofia, Bulgaria, Tatyana Bozhkova, and Kosta Shterev

Subjects
Security printing, Engineering, business.industry, business, Computer security, computer.software_genre, computer
Published
2018

26. Dabigatran in patients with myocardial injury after non-cardiac surgery (MANAGE) : an international, randomised, placebo-controlled trial

Author

P J Devereaux, Emmanuelle Duceppe, Gordon Guyatt, Vikas Tandon, Reitze Rodseth, Bruce M Biccard, Denis Xavier, Wojciech Szczeklik, Christian S Meyhoff, Jessica Vincent, Maria Grazia Franzosi, Sadeesh K Srinathan, Jason Erb, Patrick Magloire, John Neary, Mangala Rao, Prashant V Rahate, Navneet K Chaudhry, Bongani Mayosi, Miriam de Nadal, Pilar Paniagua Iglesias, Otavio Berwanger, Juan Carlos Villar, Fernando Botto, John W Eikelboom, Daniel I Sessler, Clive Kearon, Shirley Pettit, Mukul Sharma, Stuart J Connolly, Shrikant I Bangdiwala, Purnima Rao-Melacini, Andreas Hoeft, Salim Yusuf, P.J. Devereaux, Shrikant I. Bangdiwala, Stuart Connolly, John Eikelboom, Janice Pogue, Daniel I. Sessler, Sara Di Diodato, Zora Gasic, Louise J. Mastrangelo, Sarah H. Molnar, Jennifer L. Swanson, Makayla L. Tosh, Jennifer R. Wells, Rafael Diaz, Clara K. Chow, Beatriz Gonzales, Skarlet Vásquez, Petr Jansky, Radovan Dušek, Christian S. Meyhoff, Pierre Coriat, Maria Wittmann, Gerald Yonga, Nandini Mathur, Elena Seletti, German Malaga, Bernadette A. Tumanan-Mendoza, Maria Pamela A. Tagle, Bruce M. Biccard, Pablo Alonso-Coello, Ekaterine Popova, Martin Shields, Yannick Le Manach, Paul Moayyedi, Sander van Zanten, Edith Fleischmann, Amit Garg, Kamilu Karaye, Edward McFalls, Alben Sigamani, Emilie Belley-Côté, Grzegorz Biedroń, Flavia Borges, Steffan Frosi Stella, Christian Haarmark Nielsen, Darryl P. Leong, Jessica Spence, Allen Tran, Katarzyna Wawrzycka-Adamczyk, Stephen S. Yang, Terence Yung, D. George Wyse, Davy Cheng, David E. Johnstone, George A. Wells, Philip Joseph, Ameen Patel, Krysten Gregus, Kelly Lawrence, Lindsay Doharris, David Conen, Jason Cheung, Jim Douketis, Douglas Wright, Spencer Wikkerink, William Dechert, Mohamed Panju, Khalid Azzam, Theodore Rapanos, Tomas Van Helder, Anjali Shroff, Jacqueline Hare, Biniam Kidane, Thang Nguyen, Larissa Leydier, Vanessa Bayaraa, Joel Parlow, Deborah A. DuMerton, Amar Thakrar, Jessica Shelley, Benoit Deligne, Roberta Daila Carling, Marko Mrkobrada, George K. Dresser, Michael J. Jacka, David Hornstein, Gerrit B. Winkelaar, Zoeb Hussain Haider, Pravina Prashant Lanjewar, Valsamma Varughese, Rajneesh Calton, Hemani Ahuja, Preetha George, Ambika Sharma, Keyur Sureshchandra Bhatt, Dhaval Odhavajibhai Mangukiya, Karshan Vira Nandaniya, Viral Vasantrai Parekh, Ashok Bhaskaran Pillai, Vidya P. Menon, Sanjay Channappa Desai, Ravinder Singh Sidhu, Sandeep Kumar Gupta, Robbie K. George, T.R. Gurunath, Leanne W. Drummond, Alexandra M. Torborg, Belinda S. Küsel, Prebashini Naidoo, Datshana P. Naidoo, Chantal Rajah, Zane Farina, Richard Peter von Rahden, Simphiwe Gumede, Chishala Chishala, Ettienne Coetzee, Robert A. Dyer, Johan Diedericks, Piotr Bielański, Bogusz Kaczmarek, Dorota Studzińska, Maciej Zaniewski, Marek Józef Libura, Tomasz Mikołaj Zacharias-Nalichowski, Aurelia A.S. Sega, Jakub Salwa, Mateusz Kózka, Jacek Górka, Anna Wludarczyk, Ilona Nowak-Kózka, Paweł Szczepan Grudzień, Jaroslaw W. Gucwa, Michał Piotr Słowiaczek, Paweł P.D. Dobosz, Ismail Gögenur, Jens Ravn Eriksen, Tine Borup, Tove Kirkegaard, Dan Isbye, Asger Sonne, Lars S. Rasmussen, Sofie Pedersen, Hannibal Troensegaard, Camilla L. Duus, Benedikte M. Halle, Ossian N. Gundel, Katrine F. Bernholm, Kristian Rønsholt Martinsen, Søren Pedersen, Theis S. Itenov, Elena Camio, Carles Vázquez, Silvia Matarin, Esther Cano, Jesús Álvarez-García, Inmaculada India, Aránzazu González-Osuna, Marc Vives, Elena Rosselló, Ana B. Serrano, Maurizio Turiel, Lorenzo Drago, Chiara Colombo, Federica Marra, Lucio Mos, Franco Arteni, Rosalba Lembo, Alessandro Ortalda, Simonetta Passarani, Zhirajr Mokini, Estevao Lanna Figueiredo, Gustavo Fonseca Werner, Joao Luiz Petriz, Lilia Nigro Maia, Ricardo R. Bergo, Dalton Bertolim Precoma, José Francisco Kerr Saraiva, Oscar Gomez Vilamajo, Eduardo Allegrini, Mariano Benzadón, Maria Leonor Parody, Ernesto A. Duronto, Adrián C. Ingaramo, Gustavo Adolfo Parra, Danny Novoa, Scott A. Miller, Sabu Thomas, Sudhakar P. Karlapudi, Mohamad H. Bourji, Subhash Banerjee, Anita Gupta, Isaac O. Opole, Michal Fischer, Victor Lecaros Mendoza, Eugenio Borja Reyes, Richard J. Pierson, Martin O. Shields, Vincent Piriou, Kai Zacharowski, Aida Rotta-Rotta, Main Paper, Sadeesh K. Srinathan, Prashant Rahate, Navneet Chaudhry, Bogani Mayosi, and Mike Sharma

Subjects
Male, medicine.medical_specialty, Myocardial Infarction, Placebo-controlled study, Hemorrhage, 030204 cardiovascular system & hematology, Placebo, Antithrombins, Dabigatran, law.invention, Peripheral Arterial Disease, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, 030202 anesthesiology, law, Internal medicine, medicine, Humans, Perioperative Period, Stroke, Aged, Aged, 80 and over, business.industry, Hazard ratio, Proton Pump Inhibitors, Thrombosis, Venous Thromboembolism, General Medicine, Perioperative, Placebo Effect, medicine.disease, Troponin, Clinical trial, Treatment Outcome, Female, business, Omeprazole, medicine.drug
Abstract

Summary Background Myocardial injury after non-cardiac surgery (MINS) increases the risk of cardiovascular events and deaths, which anticoagulation therapy could prevent. Dabigatran prevents perioperative venous thromboembolism, but whether this drug can prevent a broader range of vascular complications in patients with MINS is unknown. The MANAGE trial assessed the potential of dabigatran to prevent major vascular complications among such patients. Methods In this international, randomised, placebo-controlled trial, we recruited patients from 84 hospitals in 19 countries. Eligible patients were aged at least 45 years, had undergone non-cardiac surgery, and were within 35 days of MINS. Patients were randomly assigned (1:1) to receive dabigatran 110 mg orally twice daily or matched placebo for a maximum of 2 years or until termination of the trial and, using a partial 2-by-2 factorial design, patients not taking a proton-pump inhibitor were also randomly assigned (1:1) to omeprazole 20 mg once daily, for which results will be reported elsewhere, or matched placebo to measure its effect on major upper gastrointestinal complications. Research personnel randomised patients through a central 24 h computerised randomisation system using block randomisation, stratified by centre. Patients, health-care providers, data collectors, and outcome adjudicators were masked to treatment allocation. The primary efficacy outcome was the occurrence of a major vascular complication, a composite of vascular mortality and non-fatal myocardial infarction, non-haemorrhagic stroke, peripheral arterial thrombosis, amputation, and symptomatic venous thromboembolism. The primary safety outcome was a composite of life-threatening, major, and critical organ bleeding. Analyses were done according to the intention-to-treat principle. This trial is registered with ClinicalTrials.gov, number NCT01661101. Findings Between Jan 10, 2013, and July 17, 2017, we randomly assigned 1754 patients to receive dabigatran (n=877) or placebo (n=877); 556 patients were also randomised in the omeprazole partial factorial component. Study drug was permanently discontinued in 401 (46%) of 877 patients allocated to dabigatran and 380 (43%) of 877 patients allocated to placebo. The composite primary efficacy outcome occurred in fewer patients randomised to dabigatran than placebo (97 [11%] of 877 patients assigned to dabigatran vs 133 [15%] of 877 patients assigned to placebo; hazard ratio [HR] 0·72, 95% CI 0·55–0·93; p=0·0115). The primary safety composite outcome occurred in 29 patients (3%) randomised to dabigatran and 31 patients (4%) randomised to placebo (HR 0·92, 95% CI 0·55–1·53; p=0·76). Interpretation Among patients who had MINS, dabigatran 110 mg twice daily lowered the risk of major vascular complications, with no significant increase in major bleeding. Patients with MINS have a poor prognosis; dabigatran 110 mg twice daily has the potential to help many of the 8 million adults globally who have MINS to reduce their risk of a major vascular complication. Funding Boehringer Ingelheim and Canadian Institutes of Health Research.

Published
2018

27. Baby Boy Jones Interactive Case-Based Learning Activity

Author

Bruce Paper, Linda Grace Solis, Bonnie Taylor, Elenice Valentim Carmona, and Lisa M. Cleveland

Subjects
E-learning (theory), education, Pilot Projects, Nursing Methodology Research, Infections, Education, User-Computer Interface, Pedagogy, Humans, Medicine, Nurse education, Education, Nursing, Internet, business.industry, Teaching, Infant, Newborn, Nurse educator, Problem-Based Learning, LPN and LVN, Pediatric Nursing, Innovative teaching, Nursing Education Research, Nursing Evaluation Research, Review and Exam Preparation, Neonatal nursing, Fundamentals and skills, Learning Management, Diffusion of Innovation, business, Limited resources, Computer-Assisted Instruction
Abstract

Faced with limited resources, nurse educators are challenged with transforming nursing education while preparing enough qualified nurses to meet future demand; therefore, innovative approaches to teaching are needed. In this article, we describe the development of an innovative teaching activity. Baby Boy Jones is a Web-delivered, case-based learning activity focused on neonatal infection. It was created using e-learning authoring software and delivered through a learning management system.

Published
2015

28. Development and Psychometric Evaluation of the Diabetes Self-Efficacy Scale

Author

Bruce Paper, Susan Grinslade, Hongjuan Jing, and Laurie Quinn

Subjects
Adult, Gerontology, Psychometrics, United Kingdom Prospective Diabetes Study, Population, Type 2 diabetes, Surveys and Questionnaires, Diabetes mellitus, medicine, Humans, education, General Nursing, Aged, Glycemic, Aged, 80 and over, Type 1 diabetes, education.field_of_study, business.industry, Reproducibility of Results, Type 2 Diabetes Mellitus, General Medicine, Middle Aged, medicine.disease, Obesity, Self Efficacy, Self Care, Diabetes Mellitus, Type 2, Female, Factor Analysis, Statistical, business
Abstract

Background and Purpose: No scales measure self-efficacy in women with Type 2 diabetes. A scale was developed and tested. Methods: Items generated, content validity index (CVI) assessed by experts, the 2-part Diabetes Self-Efficacy Scale (DSLF-I and DSLF-II) was piloted with 62 women, administered to 208 women, and then readministered to 30 women to determine initial reliability. Factor analysis was conducted for construct validity. Discriminant, convergent, and predictive validity was examined. Results: The CVI index was 98%. Cronbach's alphas were 0.88 (DSLF-I) and 0.82 (DSLF-II; pilot) and 0.87 and 0.86, respectively (main study); test-retest correlation was .60 (DSLF-I) and .69 (DSLF-II). There were 3 factors that emerged: diabetes knowledge of self-care activity, diabetes diet self-care, and diabetes medication self-care. Conclusions: The Diabetes Self-Efficacy Scale demonstrates good initial reliability and validity.Keywords: instrument development; self-efficacy; diabetes mellitus Type 2; reliability; validity; factor analysisDiabetes mellitus affects 8.3% of the population in the United States, or 25.8 million people. More than 7 million people are estimated to be undiagnosed and unaware they have the disease (Center for Disease Control and Prevention [CDC], 2011). Approximately 90%-95% of persons with diabetes have Type 2 diabetes mellitus (T2DM). The San Antonio Heart Study revealed a rising incidence of T2DM, with age, ethnicity, and neighborhood as significant predictors of T2DM (Burke et al., 1999).Although T2DM affects all ethnic and gender groups, there is a disparate effect. For example, African Americans are 1.6 times more likely to have diabetes than Whites and are more likely to go undiagnosed American Diabetes Association (ADA, 2005a). Complications from T2DM are also more prevalent in minority populations (Carter, Pugh, & Monterosa, 1996). In addition, diabetic women, compared to diabetic men, have a significantly higher prevalence of cardiovascular disease and suffer greater adverse outcomes (D'Arrigo, 1999; Gu, Cowie, & Harris, 1999; Howard et al., 1998; Smitherman & Reis, 1997). Further, Sowers (1998) reported that the gender protectiveness for coronary heart disease (CHD) declines in women between the ages of 50 and 59 years, and that the loss of gender protectiveness increases the risk ratio for CHD to 3.5 for women with diabetes compared to 2.4 for men with diabetes (p. 618). Koerbel and Korytkowski (2003) stated that women with diabetes not only have greater risk for cardiovascular disease but they also suffer greater adverse outcomes. They cite several factors, which increase this risk in women: poorer glycemic control, elevated blood pressure and lipids, central obesity, increased depression and lower socioeconomic status. These factors contribute to increased morbidity and health care costs for women with diabetes. These data support the need for more research into prevention, detection, and cost-effective methods to effectively manage T2DM and prevent its complications in women.Maintenance of health and prevention of diabetic complications require significant changes in lifestyle management and adherence to a therapeutic diabetic regimen. Behavior change and adherence are not only difficult but are also often inadequate to maintain recommended glycemic control (Anderson, Fitzgerald, & Oh, 1993; Skelly, Marshall, Haughey, Davis, & Dunford, 1995). The importance of participation in diabetic self-care behavior in achieving glycemic control has been demonstrated by the Diabetes Control and Complications Trial Research Group (1993) for individuals with Type 1 diabetes mellitus (T1DM) and by the United Kingdom Prospective Diabetes Study Group (1998) for individuals with T2DM. This goal is accomplished through a therapeutic alliance among clients, family, and health care providers to promote self-care behaviors and therapeutic modalities (ADA, 2005b). Self-care behaviors include a combination of changing or modifying eating habits, maintaining weight or achieving weight loss, participating in a physical exercise program, self-monitoring of blood glucose, and/or taking oral or injectable medication. …

Published
2015

29. The Technology Acceptance Model E-Commerce Extension: A Conceptual Framework

Author

Rima Fayad and David Paper

Subjects
Knowledge management, Technology Acceptance Model, business.industry, Computer science, User Satisfaction, General Engineering, Energy Engineering and Power Technology, Usability, E-commerce, Intentions, Outcome Satisfaction, Process Satisfaction, Outcome (game theory), Actual Behavior, Variable (computer science), Conceptual framework, Information system, Technology acceptance model, Marketing, business, Behavioral Expectations, Consumer behaviour
Abstract

Electronic-commerce has become an important channel for conducting business. Researchers as well as market executives are trying to better understand online consumer behavior. One model used by researchers to understand behavior in the information systems field in general is the technology acceptance model (TAM). The TAM variables are perceived usefulness, perceived ease of use, and intentions. In this study, we suggest the extension of the TAM for its application in the E-commerce field. The original TAM will be extended, by adding four predictor variables. The four predictor variables are process satisfaction, outcome satisfaction, expectations, and E-commerce use. In addition, the TAM will be extended by measuring actual behavior as opposed to measuring intentions as a substitute for actual behavior in previous TAM application studies. We suggest measuring actual use variable in terms of four criterion variables, namely, purchase, access number, access total time, and access average time. The extended TAM is expected to better explain actual behavior in E-commerce environments than the original TAM.

Published
2015

30. 'You Are Not Alone' Strategies for Addressing Mental Health and Health Promotion with a Refugee Women's Sewing Group

Author

Rebekah J. Salt, Emma L. Dotson, Margaret E. Costantino, and Bruce Paper

Subjects
Adult, Community-Based Participatory Research, Refugee, 050109 social psychology, Pilot Projects, Health Promotion, Social Environment, Health Services Accessibility, 03 medical and health sciences, Social support, 0302 clinical medicine, Quality of life (healthcare), Nursing, Intervention (counseling), Medicine, Vulnerable population, Humans, Mass Screening, 0501 psychology and cognitive sciences, 030212 general & internal medicine, Aged, Refugees, business.industry, Mental Disorders, fungi, 05 social sciences, food and beverages, Social environment, Social Support, Emigration and Immigration, Middle Aged, Mental health, Texas, Community Mental Health Services, Group Processes, Health promotion, Quality of Life, Health Resources, Female, Pshychiatric Mental Health, business
Abstract

Resettlement can be an uncertain time for refugees as they have often suffered life-threatening circumstances prior to flight from their countries, yet few resettlement programs screen for mental health. The purpose of this study was to pilot the Refugee Health Screener-15 (RHS-15) to assess mental health and the Pathways to Wellness intervention to identify internal and structural barriers affecting resettlement with a refugee women's sewing group. Community collaborations that create healthy social and physical environments through access to resources, economic opportunities, and social support promote a holistic approach to health and can improve quality of life for this vulnerable population.

Published
2017

31. Governing Collective Action in the Face of Observational Error

Author

Brown Economics Working Paper Series, Thomas Markussen, and Louis G. Putterman

Subjects
Microeconomics, Observational error, ComputingMilieux_THECOMPUTINGPROFESSION, media_common.quotation_subject, Voting, Institution, Sanctions, Face (sociological concept), Business, Public good, Collective action, Popularity, media_common
Abstract

We present results from a repeated public goods experiment where subjects choose by vote one of two sanctioning schemes: peer-to-peer (informal) or centralized (formal). We introduce, in some treatments, a moderate amount of noise (a 10 percent probability that a contribution is reported incorrectly) affecting either one or both sanctioning environments. We find that the institution with more accurate information is always by far the most popular, but noisy information undermines the popularity of peer-to-peer sanctions more strongly than that of centralized sanctions. This may contribute to explaining the greater reliance on centralized sanctioning institutions in complex environments.

Published
2017

32. Method for prediction of acute hypotensive episodes

Author

Mantas Deimantavicius, Zenonas Navickas, Kristina Berskiene, Arminas Ragauskas, Vytautas Petkus, Alfonsas Vainoras, Ian Paper, Rimtautas Ruseckas, and Kauno technologijos universitetas

Subjects
medicine.medical_specialty, business.industry, ECG, Arterial hypotension, Neurointensive care, acute hypotensive episodes, complex systems, Blood pressure, Internal medicine, Intensive care, Cardiology, Medicine, ECG analysis, In patient, Electrical and Electronic Engineering, business
Abstract

Hypotension is type of secondary insult and it is related to poor outcome. The ability to predict adverse hypotensive events, where a patient’s arterial blood pressure drops to abnormally low levels, would be of major benefit to the fields of primary and secondary health care. The aim of the paper is to present the novel method for predicting of acute hypotensive episodes, based on ECG analysis by the complex system theory approach. 45 patients (in four neurointensive care facilities throughout Europe) data were selected for the analysis. 11 patients had EUSIG-defined hypotensive events. The method includes determining of time varying biomarkers corresponding to plurality of physiological processes in patient’s organism as a non-linear dynamic complex system and generating an acute hypotension prediction classifier. The calculations of biomarkers are based on complex system approach and algebraic matrix analysis of ECG parameters. The classifier is based on the comparison of biomarkers behaviour in 3D images. It is demonstrated that the presented method allows us to predict arterial hypotension events 40-50 minutes ahead with a sensitivity of 81 %, specificity 94 %. This result was obtained from prospective real-time data collection in a live clinical intensive care environment.

Published
2016

34. Changes in Default Alarm Settings and Standard In-Service are Insufficient to Improve Alarm Fatigue in an Intensive Care Unit: A Pilot Project

Author

Charles Reed, Azizeh K. Sowan, Albert Tarriela, Bruce Paper, and Tiffany Michelle Gomez

Subjects
Quality management, default alarm settings, Health Informatics, Human Factors and Ergonomics, intensive care unit, in-service, law.invention, 03 medical and health sciences, ALARM, Patient safety, 0302 clinical medicine, cardiac monitors, nursing, law, 030225 pediatrics, Intensive care, Alarm management, Medicine, survey, Nurse education, alarm fatigue, Original Paper, 030504 nursing, business.industry, Usability, medicine.disease, Intensive care unit, Medical emergency, 0305 other medical science, business
Abstract

Background: Clinical alarm systems safety is a national concern, specifically in intensive care units (ICUs) where alarm rates are known to be the highest. Interventional projects that examined the effect of changing default alarm settings on overall alarm rate and on clinicians’ attitudes and practices toward clinical alarms and alarm fatigue are scarce. Objective: To examine if (1) a change in default alarm settings of the cardiac monitors and (2) in-service nursing education on cardiac monitor use in an ICU would result in reducing alarm rate and in improving nurses’ attitudes and practices toward clinical alarms. Methods: This quality improvement project took place in a 20-bed transplant/cardiac ICU with a total of 39 nurses. We implemented a unit-wide change of default alarm settings involving 17 parameters of the cardiac monitors. All nurses received an in-service education on monitor use. Alarm data were collected from the audit log of the cardiac monitors 10 weeks before and 10 weeks after the change in monitors’ parameters. Nurses’ attitudes and practices toward clinical alarms were measured using the Healthcare Technology Foundation National Clinical Alarms Survey, pre- and postintervention. Results: Alarm rate was 87.86 alarms/patient day (a total of 64,500 alarms) at the preintervention period compared to 59.18 alarms/patient day (49,319 alarms) postintervention ( P =.01). At baseline, Arterial Blood Pressure (ABP), Pair Premature Ventricular Contractions (PVCs), and Peripheral Capillary Oxygen Saturation (SpO2) alarms were the highest. ABP and SpO2 alarms remained among the top three at the postproject period. Out of the 39 ICU nurses, 24 (62%) provided complete pre- and postproject survey questionnaires. Compared to the preintervention survey, no remarkable changes in the postproject period were reported in nurses’ attitudes. Themes in the narrative data were related to poor usability of cardiac monitors and the frequent alarms. The data showed great variation among nurses in terms of changing alarm parameters and frequency of replacing patients' electrodes. Despite the in-service, 50% (12/24) of the nurses specified their need for more training on cardiac monitors in the postproject period. Conclusions: Changing default alarm settings and standard in-service education on cardiac monitor use are insufficient to improve alarm systems safety. Alarm management in ICUs is very complex, involving alarm management practices by clinicians, availability of unit policies and procedures, unit layout, complexity and usability of monitoring devices, and adequacy of training on system use. The complexity of the newer monitoring systems requires urgent usability testing and multidimensional interventions to improve alarm systems safety and to attain the Joint Commission National Patient Safety Goal on alarm systems safety in critical care units. [JMIR Hum Factors 2016;3(1):e1]

Published
2016

35. Comparison of a Barcode-Based Smartphone Application to a Questionnaire to Assess the Use of Cleaning Products at Home and Their Association with Asthma Symptoms

Author

Lemire, Pierre, Temam, Sofia, Quinot, Catherine, Sévin, Etienne, Remacle, Sophie, Supernant, Karine, Dumas, Orianne, Le Moual, Nicole, Eyriey, E., Licinia, A., Vellement, A., Pin, Isabelle, Hofmann, P., Hullo, Églantine, Llerena, Catherine, Morin, X., Morlot, A., Lepeule, Johanna, Lyon-Caen, Sarah, Philippat, Claire, Quentin, Joane, Siroux, Valérie, Slama, Rémy, Faraldo, Beatrice, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, MGEN Foundation for Public Health [Paris] (FESP-MGEN), Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), EpiConcept [Paris], The Sepages Study Group., Fondation d’entreprise MGEN pour la santé publique (FESP MGEN), Anses-PNR-EST-2015-1-022/Ademe-1594C0091, Anses-PNR-EST-2017-1-101/Ademe-1762C0021 Seventh Framework Programme, FP7: FP7/2007-206, N308333-HELIX European Research Council, ERC: N 311765-E-DOHaD Agence Nationale de la Recherche, ANR: 14-CE21-0007-01, 19-CE36-0003-01, ANR 18-CE36-005, ANR-12-PDOC-0029-01, ANR-15-IDEX, ANR-15-IDEX-02 Institut National de la Santé et de la Recherche Médicale, Inserm Fondation de France: CLI-MATHES—00081169 Commissariat Général à l'Investissement, CGI Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail, ANSES: PNR-EST-2018-1-264 Agir pour les Maladies Chroniques, Acknowledgments: We acknowledge the role of SEPAGES cohort study group: E. Eyriey, A. Licinia, A. Vellement (Groupe Hospitalier Mutualiste, Grenoble), I. Pin, P. Hofmann, E. Hullo, C. Llerena (Grenoble University Hospital, La Tronche), X. Morin (Clinique des Cèdres, Echirolles), A. Morlot (Clinique Belledonne, Saint-Martin d’Hères), J. Lepeule, S. Lyon-Caen, C. Philippat, I. Pin, J. Quentin, V. Siroux, R. Slama (Inserm, CNRS, University Grenoble Alpes IAB research center). We thank A. Benlakhryfa, L. Borges, Y. Gioria, clinical research assistants, J. Giraud, M. Marceau, M.-P. Martin, nurses, E. Charvet, A. Putod, midwives, M. Graca, K. Gridel, C. Pelini, fieldworkers, K. Guichardet, A. Levanic, C. Martel, E. Quinteiro neuropsychologists, the sta↵ from Grenoble Center for Clinical Investigation (CIC): J.-L. Cracowski, C. Cracowski, E. Hodaj, D. Abry, N. Gonnet and A. Tournier. A warm thank you also to M. Althuser, S. Althuser, F. Camus-Chauvet, P. Dusonchet, S. Dusonchet, L. Emery, P. Fabbrizio, P. Ho↵mann, D. Marchal André, X. Morin, E. Opoix, L. Pacteau, P. Rivoire, A. Royannais, C. Tomasella, T. Tomasella, D. Tournadre, P. Viossat, E. Volpi, S. Rey, E. Warembourg and clinicians from Grenoble University Hospital for their support in the recruitment of the study volunteers. We also thank A. Buchet, S.F. Caraby, J.-N. Canonica, J. Dujourdil, E. Eyriey, P. Hofmann, M. Jeannin, A. Licina, X. Morin, A. Nicolas, and all midwives from the four maternity wards of Grenoble urban areas. We thank B. Chevolon, C. Cornes, A.S. Gauchez, D. Guergour, P. Faure, J. Arnaud for thyroid hormones assessment. We thank the team of L. Chaperod (EFS) for its implication on the immunological aspects of the project. We thank G. Uzu (IRD) and J.-L. Ja↵rezo (CNRS) for their implication on PM oxidative potential assessment. We thank F.-X. Leupert, O. Bonnet and L. Goirand for the access to the birth certificate database from the Conseil Général de l’Isère. Sépages biospecimens are stored at Grenoble University Hospital (CHU-GA) biobank (bb-0033-00069), we would like to thank the whole CRB team, led by P. Mossuz and P. Lorimier, and in particular the technicians for the huge work of biospecimens processing and pooling: W. Jayar and L. Than, as well as G. Schummer. The Internet platform for secured data collection was developed by Epiconcept Paris (E. Sevin, S. Ployart, A. Polaert). SEPAGES data are stored thanks to Inserm RE-CO-NAI platform funded by Commissariat Général à l’Investissement, with the implication of Sophie de Visme (Inserm DSI). Many thanks to M.A. Charles, RE-CO-NAI coordinator, for her support. Finally, and importantly, we would like to express our sincere thanks to participants of the SEPAGES study. The authors are grateful for the help received from Ines Taarit and Mathias Clément to update the cleaning products ingredients database., Funding: The cohort was supported by the European Research Council (consolidator grant N 311765-E-DOHaD, PI, R. Slama), by the European Community’s Seventh Framework Programme (FP7/2007-206, grant N308333-HELIX, PI, M. Vrijheid), by ANR, the French Research Agency (PAPER project ANR-12-PDOC-0029-01, PI, J. Lepeule, SHALCOH project, 14-CE21-0007-01, PI, R. Slama, GUMME project, PI, R. Slama, ETAPE ANR 18-CE36-005, PI, J. Lepeule, EDeN project 19-CE36-0003-01, SYMER project, ANR-15-IDEX-02, PI, U. Schlattner, Mobil’Air project, ANR-15-IDEX, PI, S. Mathy, supported by University Grenoble-3Alpes), by ANSES (CNAP and HYPAXE projects, PI C. Philippat, PENDORE project, PNR-EST-2018-1-264, PI, V. Siroux), by Plan Cancer (Canc’Air project, PI, P. Guénel), by Association de Recherche sur le Cancer (ARC, PI, P. Guénel), by AGIR pour les maladies chroniques (PI, R. Slama and PRENAPAR project, V. Siroux), and Fonds de Recherche pour la Santé Respiratoire (FRSR, PI, I. Pin) and by Fondation de France (CLI-MATHES—00081169, J. Lepeule). We acknowledge the support of ANSES, Inserm and AGIR pour les maladies chroniques, for SEPAGES feasibility study. The support of 'SCUSI 2017' Région Auvergne-Rhône-Alpes programme is also acknowledged. COBANET-Sepages project was support by Anses and Ademe (COBANET: Anses-PNR-EST-2015-1-022/Ademe-1594C0091, PI: N Le Moual, CRESPINET: Anses-PNR-EST-2017-1-101/Ademe-1762C0021, PI: N Le Moual). Pierre Lemire benefited from a PhD scholarship of the University of Paris-Sud/Paris-Saclay, France., The cohort was supported by the European Research Council (consolidator grant N 311765-E-DOHaD, PI, R. Slama), by the European Community?s Seventh Framework Programme (FP7/2007-206, grant N308333-HELIX, PI, M. Vrijheid), by ANR, the French Research Agency (PAPER project ANR-12-PDOC-0029-01, PI, J. Lepeule, and EDeN project 19-CE36-0003-01, SYMER project, ANR-15-IDEX-02, PI, U. Schlattner, Mobil?Air project, ANR-15-IDEX, PI, S. Mathy, supported by University Grenoble-3Alpes), by ANSES (CNAP and HYPAXE projects, PI C. Philippat, PENDORE project, PNR-EST-2018-1-264, PI, V. Siroux), by Plan Cancer (Canc?Air project, PI, P. Gu?nel), by Association de Recherche sur le Cancer (ARC, PI, P. Gu?nel), by AGIR pour les maladies chroniques (PI, R. Slama and PRENAPAR project, V. Siroux), and Fonds de Recherche pour la Sant? Respiratoire (FRSR, PI, I. Pin) and by Fondation de France (CLIMATHES?00081169, J. Lepeule). We acknowledge the support of ANSES, Inserm and AGIR pour les maladies chroniques, for SEPAGES feasibility study. The support of ?SCUSI 2017? R?gion Auvergne-Rh?ne-Alpes programme is also acknowledged. COBANET-Sepages project was support by Anses and Ademe (COBANET: Anses-PNR-EST-2015-1-022/Ademe-1594C0091, PI: N Le Moual

Subjects
medicine.medical_specialty, Health, Toxicology and Mutagenesis, [SDV]Life Sciences [q-bio], lcsh:Medicine, Smartphone application, Logistic regression, Article, 03 medical and health sciences, 0302 clinical medicine, Surveys and Questionnaires, Environmental health, Epidemiology, Odds Ratio, medicine, Humans, 030212 general & internal medicine, Association (psychology), smartphone application, Asthma, household cleaning products, business.industry, lcsh:R, Public Health, Environmental and Occupational Health, Asthma symptoms, Odds ratio, asthma, medicine.disease, 3. Good health, 030228 respiratory system, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Smartphone, business, Kappa, Disinfectants
Abstract

International audience; Household disinfectant and cleaning products (HDCPs) assessment is challenging in epidemiological research. We hypothesized that a newly-developed smartphone application was more objective than questionnaires in assessing HDCPs. Therefore, we aimed to compare both methods, in terms of exposure assessments and respiratory health effects estimates. The women of the SEPAGES birth cohort completed repeated validated questionnaires on HDCPs and respiratory health and used an application to report HDCPs and scan products barcodes, subsequently linked with an ingredients database. Agreements between the two methods were assessed by Kappa coefficients. Logistic regression models estimated associations of HDCP with asthma symptom score. The 101 participants (18 with asthma symptom score ≥1) scanned 617 different products (580 with available ingredients list). Slight to fair agreements for sprays, bleach and scented HDCP were observed (Kappa: 0.35, 0.25, 0.11, respectively). Strength of the associations between HDCP and asthma symptom score varied between both methods but all odds ratios (OR) were greater than one. The number of scanned products used weekly was significantly associated with the asthma symptom score (adjusted-OR [CI 95%]: 1.15 [1.00–1.32]). This study shows the importance of using novel tools in epidemiological research to objectively assess HDCP and therefore reduce exposure measurement errors.

Published
2021

36. Blunting periprocedural myocardial necrosis: Rationale and design of the randomized ALPHEUS study

Author

François Jourda, Christophe Saint-Etienne, Luc Christiaens, Grégoire Rangé, Benoit Lattuca, Philippe Brunel, Paul Guedeney, Hervé Le Breton, Marie Hauguel-Moreau, Eric Vicaut, Anne Bellemain-Appaix, Jean-Louis Georges, Guillaume Cayla, Christophe Pouillot, Christophe Caussin, Gregory Ducrocq, Ziad Boueri, Farzin Beygui, Johanne Silvain, Thibault Lhermusier, Gilles Montalescot, Jean-Noël Labèque, Jean-Philippe Collet, Zuzana Motovska, Franck Boccara, Mohamad El Kasty, Raphaelle Dumaine, Jean-Guillaume Dillinger, Mikael Laredo, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases [IHU ICAN], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Service de cardiologie et de pathologie vasculaire [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Service de cardiologie [Chartres], Les hôpitaux de Chartres [Chartres], Marqueurs cardiovasculaires en situation de stress (MASCOT (UMR_S_942 / U942)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPC)-Université Sorbonne Paris Nord, Hôpital de Bastia, Service de Cardiologie [Hôpital privé Dijon Bourgogne], Hôpital privé Dijon Bourgogne, Clinique Sainte Clotilde, Centre de Recherche Saint-Antoine (CRSA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Service de cardiologie [CHU de Poitiers], Centre hospitalier universitaire de Poitiers (CHU Poitiers), Service de cardiologie [Centre Hospitalier de la Côte Basque, Bayonne], Centre Hospitalier de la Côte Basque, CHU Toulouse [Toulouse], Centre Hospitalier de Versailles André Mignot (CHV), Cardiology Department, Centre Hospitalier d'Antibes Juan les Pins, Antibes, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Trousseau [APHP], Institut Mutualiste de Montsouris (IMM), Hôpital d'Auxerre, Partenaires INRAE, Grand Hôpital de l'Est Francilien (GHEF), Laboratoire de Recherche Vasculaire Translationnelle (LVTS (UMR_S_1148 / U1148)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPC)-Université Sorbonne Paris Nord, AstraZeneca France Novartis Daiichi-Sankyo Bristol-Myers Squibb, BMS Eli Lilly and Company Bayer AstraZeneca France Boston Scientific Corporation, BSC Abbott Laboratories Medtronic Biotronik Fédération Française de Cardiologie, FFC, The ALPHEUS and the Bio-ALPHEUS studies are funded by the Fond de dotation ACTION ( www.action-fonds.org ) and a grant from AstraZeneca . The Bio-ALPHEUS study is also funded by the Institute of Cardiometabolism and Nutrition . The first draft of the paper was developed by Dr Silvain and Dr Montalescot, and all authors subsequently contributed to its development and final content and are solely responsible for the design and conduct of this study, all study analyses, the drafting and editing of the paper, and its final contents. AstraZeneca reviewed the manuscript and was allowed to make suggestions, but final content was determined by the authors., Dr Silvain reports receiving consulting and lecture or travel support from AstraZeneca, Bayer HealthCare SAS, Biotronik, BPI France, Boehringer Ingelheim France, CSL Behring SA, Gilead Science, Sanofi-Aventis France, Terumo France SAS, Abbott Medical France SAS, and Zoll and is a stockholder of Pharmaseeds. Dr Cayla reports speaker or congress fees and has received research grants/consultant fees/lectures fees from Amgen, AstraZeneca, Abbott, Bayer, Biotronik, Bristol-Myers Squibb, Pfizer, and Sanofi-Aventis. Dr Beygui reports receiving consulting and lecture fees from Astrazeneca, Bristol-Myers Squibb, Medtronic, Biosensors, Boston Scientific Institutional and research grants from Medtronic, Biosensors, Acist, and Boston scientific. Dr Rangé reports receiving speaker’s and/or consulting fees from Abbott. Dr Lattuca has received research grants from Biotronik, Boston Scientific, Daiichi-Sankyo, Fédération Française de Cardiologie, and Institute of CardioMetabolism and Nutrition, consultant fees from Daiichi-Sankyo and Eli Lilly, and lecture fees from AstraZeneca, Medtronic, and Novartis. Dr Collet reports receiving consulting and lecture fees from AstraZeneca, Bayer, Bristol-Myers Squibb, Fédération Française de Cardiologie, Lead-Up, Medtronic, MSD, Sanofi-Aventis, and WebMD. Dr Dillinger reports receiving consulting and lecture fees from AstraZeneca, Bayer, Boehringer-Ingelheim, Bristol-Myers Squibb/Pfizer, and Sanofi and grants from Bayer, Bristol-Myers Squibb/Pfizer, and Biosensors. Dr Boueri reports receiving consulting and lecture fees from Novartis and Astra Zeneca. Dr Boccara reports consulting or speaker fees from Amgen, Gilead, ViiV Healthcare, Amgen, Sanofi, MSD, and Servier outside the submitted work. Dr Christiaens reports consulting or speaker fees from Astra Zeneca. Dr Lhermusier reports consulting or speaker fees from Astra Zeneca, Boston Scientifics, and Abbott and a research grant from Astra Zeneca. Dr Georges reports consulting or speaker fees from AstraZeneca France, Sanofi-Aventis, Amgen, and Merck Sharpe and Dohme. Dr Bellemain-Appaix reports consulting or speaker fees from Astra Zeneca, Novartis, and Pfizer. Dr Saint-Etienne reports consulting or speaker fees from Abbott, Medtronic, Edwards, and Biotronik. Dr Motovska reports consulting or speaker fees from Astrazeneca. Dr Laredo reports fellowship grants from Medtronic, Biotronik, and Boston Scientific. Dr Ducrocq reports consulting or speaker fees from Amgen, Astra Zeneca, Bayer, BMS, Janssen, Sanofi, and Terumo, proctoring: Boston scientific, CEC: Novo Nordisk, and travel fees: Astra Zeneca, Bayer, and BMS. Dr Vicaut reports consulting or speaker fees from Abbott, Bristol Myers Squibb, Celgene, Edwards, Pfizer, Sanofi, and Novartis. Dr Montalescot reports consulting or speaker fees from Abbott, AIM group, Amgen, Actelion, American College of Cardiology Foundation, Astrazeneca, Axis-Santé, Bayer, Boston-Scientific, Bristol-Myers Squibb, Beth Israel Deaconess Medical, Brigham Women’s Hospital, Fréquence Médicale, ICOM, Idorsia, Elsevier, Fédération Française de Cardiologie, Fréquence Médicale, Institute of Cardiometabolism and Nutrition, Lead-Up, Menarini, Medtronic, MSD, Novo-Nordisk, Pfizer, Quantum Genomics, Sanofi-Aventis, SCOR global life, Servier, and WebMD. Other authors have no conflict of interest to report., Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Université Sorbonne Paris Nord, Centre de Recherche Saint-Antoine (CR Saint-Antoine), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Centre Hospitalier de la Côte Basque (CHCB), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre hospitalier d'Auxerre (CHA), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord

Subjects
medicine.medical_specialty, Ticlopidine, medicine.medical_treatment, Myocardial Infarction, Coronary Disease, 030204 cardiovascular system & hematology, Coronary Angiography, Loading dose, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Percutaneous Coronary Intervention, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Internal medicine, medicine, Humans, 030212 general & internal medicine, Myocardial infarction, cardiovascular diseases, Aged, Aspirin, business.industry, Percutaneous coronary intervention, medicine.disease, Clopidogrel, 3. Good health, Conventional PCI, Cardiology, Purinergic P2Y Receptor Antagonists, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Cardiology and Cardiovascular Medicine, business, Ticagrelor, Platelet Aggregation Inhibitors, medicine.drug
Abstract

International audience; Background: Clopidogrel associated with aspirin is the recommended treatment for patients undergoing elective percutaneous coronary intervention (PCI). Although severe PCI-related events are rare, evidence suggests that PCI-related myocardial infarction and myocardial injury are frequent complications that can impact the clinical prognosis of the patients. Antiplatelet therapy with a potent P2Y12 receptor inhibitor such as ticagrelor may reduce periprocedural ischemic complications while maintaining a similar safety profile as compared with conventional dual antiplatelet therapy by aspirin and clopidogrel in this setting. Methods: Assessment of Loading with the P2Y12 inhibitor ticagrelor or clopidogrel to Halt ischemic Events in patients Undergoing elective coronary Stenting (ALPHEUS) (NCT02617290) is an international, multicenter, randomized, parallel-group, open-label study in patients with stable coronary artery disease who are planned for an elective PCI. In total, 1,900 patients will be randomized before a planned PCI to a loading dose of ticagrelor 180 mg or a loading dose of clopidogrel (300 or 600 mg) in addition to aspirin. Patients will then receive a dual antiplatelet therapy with aspirin and ticagrelor 90 mg twice daily or clopidogrel 75 mg once daily for 30 days. The primary ischemic end point is PCI-related myocardial infarction (myocardial infarction type 4a or 4b) or major myocardial injury within 48 hours (or at hospital discharge if earlier) after elective PCI/stent. Safety will be evaluated by major bleeding events (Bleeding Academic Research Consortium type 3 or 5) at 48 hours (or discharge if it occurs earlier). Conclusion: ALPHEUS is the first properly sized trial comparing ticagrelor to clopidogrel in the setting of elective PCI and is especially designed to show a reduction in periprocedural events, a surrogate end point for mortality.

Published
2020

37. The association between sedentary behavior and sarcopenia among adults aged ≥65 years in low-and middle-income countries

Author

Louis Jacob, Lee Smith, Deepti Adlakha, Mark A. Tully, Nicole E Blackburn, Ai Koyanagi, Paolo Caserotti, Pinar Soysal, Nicola Veronese, Guillermo Felipe López Sánchez, Davy Vancampfort, Anglia Ruskin University (ARU), University of Ulster, Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Queen's University [Belfast] (QUB), University of Southern Denmark (SDU), Università degli studi di Palermo - University of Palermo, Institució Catalana de Recerca i Estudis Avançats (ICREA), National Institute on Aging, NIA: 08-CN-0020, OGHA 04034785, R01‐AG034479, R21‐AG034263, Y1-AG-1005, Y1‐AG‐1005–01, YA1323– 08‐CN‐0020, This paper uses data from WHO?s Study on Global Ageing and Adult Health (SAGE). SAGE is supported by the U.S. National Institute on Aging through Interagency Agreements OGHA 04034785, YA1323? 08-CN-0020, Y1-AG-1005?01 and through research grants R01-AG034479 and R21-AG034263., Funding: This paper uses data from WHO’s Study on Global Ageing and Adult Health (SAGE). SAGE is supported by the U.S. National Institute on Aging through Interagency Agreements OGHA 04034785, YA1323– 08‐CN‐0020, Y1‐AG‐1005–01 and through research grants R01‐AG034479 and R21‐AG034263., SOYSAL, PINAR, Smith, L., Tully, M., Jacob, L., Blackburn, N., Adlakha, D., Caserotti, P., Soysal, P., Veronese, N., Sánchez, G.F.L., Vancampfort, D., and Koyanagi, A.

Subjects
Male, Sarcopenia, Health, Toxicology and Mutagenesis, [SDV]Life Sciences [q-bio], lcsh:Medicine, WORLD-HEALTH-ORGANIZATION, Logistic regression, Continuous variable, older adult, 0302 clinical medicine, Medicine, 030212 general & internal medicine, Gait, Public, Environmental & Occupational Health, Low- and middle-income countries, Hand Strength, Sedentary behavior, musculoskeletal system, 3. Good health, PREVALENCE, TIME, OBESITY, Older adults, Income, Female, Life Sciences & Biomedicine, medicine.medical_specialty, Environmental Sciences & Ecology, Article, Odds, SKELETAL-MUSCLE MASS, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Humans, OLDER-ADULTS, Aged, Science & Technology, business.industry, Public health, lcsh:R, Public Health, Environmental and Occupational Health, medicine.disease, body regions, PHYSICAL-ACTIVITY, Cross-Sectional Studies, Socioeconomic Factors, Ageing, Low and middle income countries, FAT, Sedentary Behavior, business, human activities, 030217 neurology & neurosurgery, Environmental Sciences, Demography, low- and middle-income countries, older adults, sarcopenia, sedentary behavior
Abstract

The present study aimed to assess the association between sedentary behavior and sarcopenia among adults aged &ge, 65 years. Cross-sectional data from the Study on Global Ageing and Adult Health were analyzed. Sarcopenia was defined as having low skeletal muscle mass and either a slow gait speed or a weak handgrip strength. Self-reported sedentary behavior was assessed as a continuous variable (hours per day) and also as a categorical variable (0&ndash, &lt, 4, 4&ndash, 8, 8&ndash, 11, &ge, 11 hours/day). Multivariable logistic regression was conducted to assess the association between sedentary behavior and sarcopenia. Analyses using the overall sample and country-wise samples were conducted. A total of 14,585 participants aged &ge, 65 years were included in the analysis. Their mean age was 72.6 (standard deviation, 11.5) years and 55% were females. Compared to sedentary behavior of 0&ndash, 4 hours/day, &ge, 11hours/day was significantly associated with 2.14 (95% CI = 1.06&ndash, 4.33) times higher odds for sarcopenia. The country-wise analysis showed that overall, a one-hour increase in sedentary behavior per day was associated with 1.06 (95% CI = 1.04&ndash, 1.10) times higher odds for sarcopenia, while the level of between-country heterogeneity was low (I2 = 12.9%). Public health and healthcare practitioners may wish to target reductions in sedentary behavior to aid in the prevention of sarcopenia in older adults.

Published
2020

38. Comparing the Difficulty of Factorization and Discrete Logarithm: A 240-Digit Experiment

Author

Pierrick Gaudry, Emmanuel Thomé, Fabrice Boudot, Aurore Guillevic, Nadia Heninger, Paul Zimmermann, XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Cryptology, arithmetic : algebraic methods for better algorithms (CARAMBA), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), University of California [San Diego] (UC San Diego), University of California (UC), This work was possible thanks to a 32M-hour allocation on the Juwels super-computer from the PRACE research infrastructure.Experiments presented in this paper were carried out using the Grid'5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see https://www.grid5000.fr).This work was supported by the French 'Ministère de l'Enseignement Supérieur et de la Recherche', by the 'Conseil Régional de Lorraine', by theEuropean Union, through the 'Cyber-Entreprises' project, and by the US National Science Foundation under grant no. 1651344.High Performance Computing resources were partially provided by the EXPLOR centre hosted by the University de Lorraine.Computations carried out at the University of Pennsylvania were performed on Cisco UCS servers donated by Cisco., Daniele Micciancio, Thomas Ristenpart, Grid5000, University of California, Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), This work was possible thanks to a 32M-hour allocation on the Juwels super-computer from the PRACE research infrastructure.Experiments presented in this paper were carried out using the Grid'5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see https://www.grid5000.fr).This work was supported by the French ``Ministère de l'Enseignement Supérieur et de la Recherche', by the ``Conseil Régional de Lorraine', by theEuropean Union, through the ``Cyber-Entreprises' project, and by the US National Science Foundation under grant no.~1651344.High Performance Computing resources were partially provided by the EXPLOR centre hosted by the University de Lorraine.Computations carried out at the University of Pennsylvania were performed on Cisco UCS servers donated by Cisco., and Daniele Micciancio, Thomas Ristenpart

Subjects
FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer science, discrete logarithm, Computation, number field sieve, 02 engineering and technology, law.invention, General number field sieve, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], Software, cryptanalysis, Factorization, law, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Hardware_ARITHMETICANDLOGICSTRUCTURES, Arithmetic, factoring, business.industry, Numerical digit, Factoring, Discrete logarithm, 020201 artificial intelligence & image processing, Cryptanalysis, business, Cryptography and Security (cs.CR)
Abstract

International audience; We report on two new records: the factorization of RSA-240, a 795-bit number, and a discrete logarithm computation over a 795-bit prime field. Previous records were the factorization of RSA-768 in 2009 and a 768-bit discrete logarithm computation in 2016. Our two computations at the 795-bit level were done using the same hardware and software, and show that computing a discrete logarithm is not much harder than a factorization of the same size. Moreover, thanks to algorithmic variants and well-chosen parameters, our computations were significantly less expensive than anticipated based on previous records.The last page of this paper also reports on the factorization of RSA-250.

Published
2020

39. Fruit and vegetable consumption and sarcopenia among older adults in low- and middle-income countries

Author

Hans Oh, Louis Jacob, Ai Koyanagi, Lin Yang, Marco Solmi, Nicola Veronese, Lee Smith, Josep Maria Haro, Jae Il Shin, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), National Institute on Aging, NIA: OGHA 04034785, PI15/00862, R01‐AG034479, R21‐AG034263, Y1‐AG‐1005–01, YA1323–08‐CN‐0020 European Regional Development Fund, FEDER: ERDF?FEDER, Acknowledgments: This paper uses data from WHO’s Study on Global Ageing and Adult Health (SAGE). SAGE is supported by the U.S. National Institute on Aging through Interagency Agreements OGHA 04034785, YA1323–08‐CN‐0020, Y1‐AG‐1005–01 and through research grants R01‐AG034479 and R21‐AG034263. Ai Koyanagi’s work is supported by the PI15/00862 project, integrated into the National R + D + I and funded by the ISCIII‐General Branch Evaluation and Promotion of Health Research and the European Regional Development Fund (ERDF‐FEDER)., This paper uses data from WHO?s Study on Global Ageing and Adult Health (SAGE). SAGE is supported by the U.S. National Institute on Aging through Interagency Agreements OGHA 04034785, YA1323?08?CN?0020, Y1?AG?1005?01 and through research grants R01?AG034479 and R21?AG034263. Ai Koyanagi?s work is supported by the PI15/00862 project, integrated into the National R + D + I and funded by the ISCIII?General Branch Evaluation and Promotion of Health Research and the European Regional Development Fund (ERDF?FEDER)., Koyanagi, A., Veronese, N., Solmi, M., Oh, H., Shin, J.I., Jacob, L., Yang, L., Haro, J.M., and Smith, L.

Subjects
Male, Future studies, Logistic regression, Persones grans, older people, Eating, 0302 clinical medicine, Vegetables, vegetable, fruit, low- and middle-income countries, older people, sarcopenia, vegetable, low- and middle-income countries, 030212 general & internal medicine, Aged, 80 and over, 2. Zero hunger, education.field_of_study, Nutrition and Dietetics, Hand Strength, Smoking, Age Factors, 3. Good health, Income, Female, lcsh:Nutrition. Foods and food supply, Alcohol Drinking, Population, lcsh:TX341-641, 030209 endocrinology & metabolism, Article, Odds, sarcopenia, 03 medical and health sciences, Sex Factors, medicine, Humans, education, Developing Countries, Exercise, Poverty, Hortalisses, Adult health, Aged, Consumption (economics), business.industry, Low‐ and middle‐income countries, fruit, medicine.disease, Fruita, Cross-Sectional Studies, Low and middle income countries, Fruit, Sarcopenia, Older people, business, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, human activities, Food Science, Demography
Abstract

Fruit and vegetable consumption may protect against sarcopenia but there are no studies on this topic from low- and middle-income countries (LMICs). Thus, we assessed this association among older adults from six LMICs. Community-based cross-sectional data of the Study on Global Aging and Adult Health were analyzed. Sarcopenia was defined as the presence of low skeletal muscle mass based on indirect population formula, and either slow gait or low handgrip strength. Quintiles of vegetable and fruit consumption were created based on the number of servings consumed on a typical day. Multivariable logistic regression analysis was conducted. The sample consisted of 14,585 individuals aged &ge, 65 years (mean (SD) age 72.6 (11.4) years, 55% females). Adjusted analyses showed that overall, compared to the lowest quintile (Q1), the highest quintile (Q5) of fruit consumption was associated with a 40% lower odds for sarcopenia (OR = 0.60, 95% CI = 0.42-0.84) but this association was largely driven by the strong association among females (e.g., Q5 vs. Q1 OR = 0.42, 95% CI = 0.24&minus, 0.73), with no significant associations found among males. Vegetable consumption was not significantly associated with sarcopenia. Future studies of longitudinal design may shed light on whether increasing fruit consumption among older females in LMICs may reduce risk for sarcopenia.

Published
2020

40. Bank bonus pay as a risk sharing contract

Author

Harald Hau, Matthias Efing, Patrick Kampkötter, Jean-Charles Rochet, University of Zurich, Hau, Harald, Ecole des Hautes Etudes Commerciales (HEC Paris), Center for Economic Studies and Ifo for Economic Research (CESifo), CESifo Group Munich, Groupe de recherche en économie mathématique et quantitative (GREMAQ), Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de la Recherche Agronomique (INRA)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and HEC Paris Research Paper

Subjects
Economics and Econometrics, History, Polymers and Plastics, Control (management), Bank compensation, 2002 Economics and Econometrics, Operating leverage, Industrial and Manufacturing Engineering, JEL: G - Financial Economics/G.G2 - Financial Institutions and Services/G.G2.G21 - Banks • Depository Institutions • Micro Finance Institutions • Mortgages, Shareholder, Accounting, 0502 economics and business, ddc:330, Risk sharing, External financing, operating leverage, Business and International Management, 050207 economics, Finance, 1402 Accounting, 050208 finance, banker compensation, Earnings, business.industry, 05 social sciences, 10003 Department of Banking and Finance, 330 Economics, Incentive, Payroll, JEL: G - Financial Economics/G.G2 - Financial Institutions and Services/G.G2.G20 - General, 2003 Finance, 8. Economic growth, G20, [SHS.GESTION]Humanities and Social Sciences/Business administration, G21, business, risk sharing, bank risk, D22, bonus pay
Abstract

https://ssrn.com/abstract=3202916; We show that banker bonuses cannot be understood exclusively as incentive contracts, but also incorporate a significant risk sharing dimension between bank shareholders and bank employees. This contrasts with the conventional view whereby diversified shareholders fully insure risk averse employees. However, financial frictions imply that shareholder value is concave in a bank's cash reserves---making shareholders effectively risk averse. The optimal contract between shareholders and employees then involves some degree of risk sharing. Using extensive payroll data on 1.26 million bank employee years in the Austrian, German, and Swiss banking sectors, we show that the structure of bonus pay within and across banks is compatible with an economically significant risk sharing motive, but difficult to rationalize based on incentive theories of bonus pay only.

Published
2023

41. High Rectification Ratio in Polymer Diode Rectifier through Interface Engineering with Self-Assembled Monolayer

Author

Sébastien Pecqueur, Ramzi Bourguiga, David Guerin, Kamal Lmimouni, Khaoula Ferchichi, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Nanostructures, nanoComponents & Molecules - IEMN (NCM - IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Faculté des Sciences de Bizerte [Université de Carthage], Université de Carthage - University of Carthage, Centrale de Micro Nano Fabrication - IEMN (CMNF - IEMN), This research work has been partially undertaken with the support of IEMN fabrication (CMNF) and characterization (PCMP) facilities. We thank the French National Nanofabrication Network RENATECH, and the IEMN cleanroom staff for their support. We also thank CENTEXBEL for the release paper supply., PCMP PCP, Renatech Network, CMNF, and ANR-17-CE24-0013,CONTEXT,Textiles connectés pour les communications autour du corps humain(2017)

Subjects
energy harvesting, Frequency response, Materials science, QA71-90, Equivalent series resistance, business.industry, rectenna, Capacitance, Instruments and machines, P3HT, Rectenna, [SPI]Engineering Sciences [physics], Rectification, organic diode rectifier, self-assembled monolayer, Monolayer, Optoelectronics, flexible, business, Diode, Voltage
Abstract

International audience; In this work, we demonstrate P3HT (poly 3-hexylthiophene) organic rectifier diode both in rigid and flexible substrate with a rectification ratio up to 106. This performance has been achieved through tuning the work function of gold with a self-assembled monolayer of 2,3,4,5,6-pentafluorobenzenethiol (PFBT). The diode fabricated on flexible paper substrate shows a very good electrical stability under bending tests and the frequency response is estimated at more than 20 MHz which is sufficient for radio frequency identification (RFID) applications. It is also shown that the low operating voltage of this diode can be a real advantage for use in a rectenna for energy harvesting systems. Simulations of the diode structure show that it can be used at GSM and Wi-Fi frequencies if the diode capacitance is reduced to a few pF and its series resistance to a few hundred ohms. Under these conditions, the DC voltages generated by the rectenna can reach a value up to 1 V.

Published
2021

42. Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Author

Georgios Tziritas, Yeonggul Jang, Jin Ma, Fumin Guo, Quanzheng Li, Tiancong Hua, Xiang Li, Lihong Liu, Angélica Atehortúa, James R. Clough, Zhiqiang Hu, Eric Kerfoot, Vicente Grau, Enzo Ferrante, Matthew Ng, Guanyu Yang, Mireille Garreau, Alejandro Debus, Elias Grinias, Jiahui Li, Wufeng Xue, Shuo Li, Wenjun Yan, Ilkay Oksuz, Hao Xu, Shenzhen University, Beijing University of Posts and Telecommunications (BUPT), Peking University [Beijing], King‘s College London, Istanbul Technical University (ITÜ), University of Oxford [Oxford], University of Toronto, Massachusetts General Hospital [Boston], University of Crete [Heraklion] (UOC), Fudan University [Shanghai], Universidad Nacional de Colombia [Bogotà] (UNAL), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Yonsei University, Universidad Nacional del Litoral [Santa Fe] (UNL), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, University of Western Ontario (UWO), The paper is partially supported by the Natural Science Foundation of China under Grants 61801296. The workof Eric Kerfoot was supported by an EPSRC programmeGrant (EP/P001009/1) and the Wellcome EPSRC Centre for Medical Engineering at the School of Biomedical Engineering and Imaging Sciences, Kings College London (WT203148/Z/16/Z). The work of Angelica Atehortua was supported by Colciencias-Colombia, Grant No. 647 (2015 call for National PhD studies) and Université de Rennes 1. The work of Alejandro Debus was supported by the Santa Fe Science, Technology and Innovation Agency (AS ACTEI), Government of the Province of Santa Fe, through Project AC-00010-18,Resolution N 117/14., University of Oxford, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), and Jonchère, Laurent

Subjects
Short axis, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, Heart Ventricles, Magnetic Resonance Imaging, Cine, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Health Information Management, medicine, Humans, Segmentation, Electrical and Electronic Engineering, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Ground truth, Cardiac cycle, business.industry, Heart, Pattern recognition, Image segmentation, Magnetic Resonance Imaging, Regression, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Computer Science Applications, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, medicine.anatomical_structure, Ventricle, 030220 oncology & carcinogenesis, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Cardiac phase, Biotechnology
Abstract

Automatic quantification of the left ventricle (LV) from cardiac magnetic resonance (CMR) images plays an important role in making the diagnosis procedure efficient, reliable, and alleviating the laborious reading work for physicians. Considerable efforts have been devoted to LV quantification using different strategies that include segmentation-based (SG) methods and the recent direct regression (DR) methods. Although both SG and DR methods have obtained great success for the task, a systematic platform to benchmark them remains absent because of differences in label information during model learning. In this paper, we conducted an unbiased evaluation and comparison of cardiac LV quantification methods that were submitted to the Left Ventricle Quantification (LVQuan) challenge, which was held in conjunction with the Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop at the MICCAI 2018. The challenge was targeted at the quantification of 1) areas of LV cavity and myocardium, 2) dimensions of the LV cavity, 3) regional wall thicknesses (RWT), and 4) the cardiac phase, from mid-ventricle short-axis CMR images. First, we constructed a public quantification dataset Cardiac-DIG with ground truth labels for both the myocardium mask and these quantification targets across the entire cardiac cycle. Then, the key techniques employed by each submission were described. Next, quantitative validation of these submissions were conducted with the constructed dataset. The evaluation results revealed that both SG and DR methods can offer good LV quantification performance, even though DR methods do not require densely labeled masks for supervision. Among the 12 submissions, the DR method LDAMT offered the best performance, with a mean estimation error of 301 mm $^2$ for the two areas, 2.15 mm for the cavity dimensions, 2.03 mm for RWTs, and a 9.5% error rate for the cardiac phase classification. Three of the SG methods also delivered comparable performances. Finally, we discussed the advantages and disadvantages of SG and DR methods, as well as the unsolved problems in automatic cardiac quantification for clinical practice applications.

Published
2021

43. The use of genetic tests to diagnose and manage patients with myeloproliferative and myeloproliferative/myelodysplastic neoplasms, and related disorders

Author

Catherine Cargo, Mamta Garg, Adam J. Mead, Anna L. Godfrey, Nicholas C.P. Cross, and Paper, A British Society for Haematology Good Practice

Subjects
medicine.medical_specialty, Receptor, Platelet-Derived Growth Factor alpha, Oncogene Proteins, Fusion, Mutation, Missense, Severity of Illness Index, Receptors, Colony-Stimulating Factor, Humans, Point Mutation, Medicine, Eosinophilia, Genetic Testing, mRNA Cleavage and Polyadenylation Factors, Biological Products, Myeloproliferative Disorders, business.industry, Disease Management, Bone Marrow Examination, Exons, Hematology, Janus Kinase 2, Prognosis, Dermatology, Clone Cells, Proto-Oncogene Proteins c-kit, Molecular Diagnostic Techniques, Myelodysplastic Syndromes, medicine.symptom, Calreticulin, business, Receptors, Thrombopoietin, Forecasting
Published
2021

44. Distance-Aware Relay Selection in an Energy-Efficient Discovery Protocol for 5G D2D Communication

Author

Nadège Varsier, Cesar Vargas Anamuro, Jean Schwoerer, Xavier Lagrange, Advanced technologies for operated networks (ADOPNET), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, Orange Labs [Meylan], Orange Labs, Département Systèmes Réseaux, Cybersécurité et Droit du numérique (IMT Atlantique - SRCD), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), This paper is part of and thereby supported by the Horizon 2020 project ONE5G (ICT-760809) receiving funds from the European Union., European Project: ICT-760809,ONE5G(2017), Université de Rennes (UR)-IMT Atlantique (IMT Atlantique), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and IMT Atlantique (IMT Atlantique)

Subjects
Computer science, stochastic geometry, 02 engineering and technology, law.invention, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-MC]Computer Science [cs]/Mobile Computing, Base station, Relay, law, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, Path loss, Electrical and Electronic Engineering, business.industry, Applied Mathematics, energy-efficient, 020206 networking & telecommunications, Energy consumption, relay selection, Computer Science Applications, User equipment, D2D relaying, Cellular network, mMTC, business, Efficient energy use, Computer network
Abstract

International audience; Massive machine-type communications (mMTC) is one of the main services delivered by the fifth Generation (5G) mobile network. The traditional cellular architecture where all devices connect to the base station is not energy efficient. For this reason, the use of device-to-device (D2D) communications is considered to reduce the energy consumption of mMTC devices. The main idea is to use nearby user equipment (UE) as a relay and establish with it D2D communication. However, the relay selection process also consumes energy, and this consumption can be significant compared to the energy consumed during the data transmission phase. In this paper, we propose a distributed energy-efficient D2D relaying mechanism for mMTC applications. This mechanism favors the selection of the UEs with low path loss with the mMTC device. Through mathematical analysis and simulations, we show that our mechanism allows a reduction of the total energy consumption of mMTC devices (up to 75% compared to direct transmission) when they have an unfavorable link budget. Moreover, our mechanism achieves almost constant energy consumption for a large range of UE densities and distances between the mMTC device and the base station.

Published
2021

45. Proteomic and Mechanistic Analysis of Spironolactone in Patients at Risk for HF

Author

Pierpaolo Pellicori, Blerim Mujaj, Stephane Heymans, Fozia Z Ahmed, N. Girerd, Ping Wang, Arantxa González, Hans-Peter Brunner-La-Rocca, Javier Díez, Franco Cosmi, Frank T. Edelmann, Mark R. Hazebroek, João Pedro Ferreira, Joe Cuthbert, Andrew L. Clark, Johannes Petutschnigg, Mamas A. Mamas, Roberto Latini, Job A J Verdonschot, John G.F. Cleland, Beatrice Mariottoni, Patrick Rossignol, Javed Khan, Jan A. Staessen, Burkert Pieske, Faiez Zannad, Anne Pizard, Stéphanie Grojean, Timothy Collier, Philippe Rouet, Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), Maastricht University Medical Centre (MUMC), Maastricht University [Maastricht], London School of Hygiene and Tropical Medicine (LSHTM), University of Manchester [Manchester], University of Hull [United Kingdom], Cortona Hospital, Universidad de Navarra [Pamplona] (UNAV), German Heart Institute Berlin, University of Glasgow, Mario Negri Institute, Center for Human Genetics, University of Leuven School of Medicine, SCHOOL of MEDICINE [Louvain], Université Catholique de Louvain = Catholic University of Louvain (UCL)-Université Catholique de Louvain = Catholic University of Louvain (UCL), Centre d'anthropologie et de génomique de Toulouse (CAGT), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Author Disclosures HOMAGE was funded by a grant from the European Union 7th Framework Programme for Research and Technological Development (HEALTH-F7-305507 HOMAGE (EU FP7 305507 http://www.homage-hf.eu). Drs. Ferreira, Rossignol, Girerd, and Zannad are supported by the RHU Fight-HF, a public grant overseen by the French National Research Agency (ANR) as part of the second 'Investissements d’Avenir' program (reference: ANR-15-RHUS-0004), the French PIA project 'Lorraine Université d’Excellence' (reference: ANR-15-IDEX-04-LUE), Contrat de Plan Etat Lorraine IT2MP, and FEDER Lorraine. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., ANR-15-RHUS-0004,FIGHT-HF,Combattre l'insuffisance cardiaque(2015), ANR-15-IDEX-0004,LUE,Isite LUE(2015), European Project: 305507,EC:FP7:HEALTH,FP7-HEALTH-2012-INNOVATION-1,HOMAGE(2013), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), DE CARVALHO, Philippe, Combattre l'insuffisance cardiaque - - FIGHT-HF2015 - ANR-15-RHUS-0004 - RHUS - VALID, ISITE - Isite LUE - - LUE2015 - ANR-15-IDEX-0004 - IDEX - VALID, Heart OMics in AGEing - HOMAGE - - EC:FP7:HEALTH2013-02-01 - 2019-01-31 - 305507 - VALID, RS: Carim - H02 Cardiomyopathy, Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), and MUMC+: MA Med Staf Artsass Cardiologie (9)

Subjects
Male, Proteomics, [SDV]Life Sciences [q-bio], Adipokine, Inflammation, 030204 cardiovascular system & hematology, Pharmacology, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Mineralocorticoid receptor, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Fibrosis, Renin–angiotensin system, Natriuretic Peptide, Brain, medicine, Humans, 030212 general & internal medicine, Aged, Mineralocorticoid Receptor Antagonists, Heart Failure, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, business.industry, fibrosis, spironolactone, HEART-FAILURE INSIGHTS, medicine.disease, Brain natriuretic peptide, 3. Good health, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, CARDIAC MATRIX BIOMARKERS, [SDV] Life Sciences [q-bio], renin-angiotensin-aldosterone system, chemistry, MYOCARDIAL-INFARCTION, inflammation, Heart failure, Spironolactone, SURVIVAL, EPLERENONE, Female, medicine.symptom, Cardiology and Cardiovascular Medicine, business, heart failure prevention, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

OBJECTIVES This study sought to further understand the mechanisms underlying effect of spironolactone and assessed its impact on multiple plasma protein biomarkers and their respective underlying biologic pathways.BACKGROUND In addition to their beneficial effects in established heart failure (HF), mineralocorticoid receptor antagonists may act upstream on mechanisms, preventing incident HF. In people at risk for developing HF, the HOMAGE (Heart OMics in AGEing) trial showed that spironolactone treatment could provide antifibrotic and antiremodeling effects, potentially slowing the progression to HF.METHODS Baseline, 1-month, and 9-month (or last visit) plasma samples of HOMAGE participants were measured for protein biomarkers (n = 276) by using Olink Proseek-Multiplex cardiovascular and inflammation panels (Olink, Uppsala, Sweden). The effect of spironolactone on biomarkers was assessed by analysis of covariance and explored by knowledgebased network analysis. RESULTS A total of 527 participants were enrolled; 265 were randomized to spironolactone (25 to 50 mg/day) and 262 to standard care ("control"). The median (interquartile range) age was 73 years (69 to 79 years), and 26% were female. Spironolactone reduced biomarkers of collagen metabolism (e.g., COL1A1, MMP-2); brain natriuretic peptide; and biomarkers related to metabolic processes (e.g., PAPPA), inflammation, and thrombosis (e.g., IL17A, VEGF, and urokinase). Spironolactone increased biomarkers that reflect the blockade of the mineralocorticoid receptor (e.g., renin) and increased the levels of adipokines involved in the anti-inflammatory response (e.g., RARRES2) and biomarkers of hemostasis maintenance (e.g., tPA, UPAR), myelosuppressive activity (e.g., CCL16), insulin suppression (e.g., RETN), and inflammatory regulation (e.g., IL-12B).CONCLUSIONS Proteomic analyses suggest that spironolactone exerts pleiotropic effects including reduction in fibrosis, inflammation, thrombosis, congestion, and vascular function improvement, all of which may mediate cardiovascular protective effects, potentially slowing progression toward heart failure. (HOMAGE [Bioprofiling Response to Mineralocorticoid Receptor Antagonists for the Prevention of Heart Failure]; NCT02556450) (C) 2021 by the American College of Cardiology Foundation.

Published
2021

46. The association between objective vision impairment and mild cognitive impairment among older adults in low- and middle-income countries

Author

Hans Oh, Ai Koyanagi, Guillermo F. López-Sánchez, Jae Il Shin, Yvonne Barnett, Lee Smith, Pinar Soysal, Louis Jacob, Laurie T. Butler, Nicola Veronese, Shahina Pardhan, Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), National Institute on Aging, NIA: 08-CN-0020, OGHA 04034785, R01-AG034479, R21-AG034263, Y1-AG-1005, YA1323, This paper uses data from WHO?s Study on Global Ageing and Adult Health (SAGE). SAGE is supported by the U.S. National Institute on Aging through Interagency Agreements OGHA 04034785, YA1323?08-CN-0020, Y1-AG-1005?01 and through research grants R01-AG034479 and R21-AG034263., Smith, L., Shin, J.I., Jacob, L., López-Sánchez, G.F., Oh, H., Barnett, Y., Pardhan, S., Butler, L., Soysal, P., Veronese, N., Koyanagi, A., and SOYSAL, PINAR

Subjects
Male, Gerontology, China, Aging, medicine.medical_specialty, Visual acuity, genetic structures, Epidemiology, [SDV]Life Sciences [q-bio], Visual impairment, Vision impairment, Logistic regression, Odds, 03 medical and health sciences, 0302 clinical medicine, Prevalence, Humans, Medicine, Dementia, Cognitive Dysfunction, 030212 general & internal medicine, Association (psychology), Developing Countries, Aged, Low- and middle-income countries, business.industry, Mild cognitive impairment, medicine.disease, eye diseases, Smith L., Shin J. I. , Jacob L., López-Sánchez G. F. , Oh H., Barnett Y., Pardhan S., Butler L., Soysal P., Veronese N., et al., -The association between objective vision impairment and mild cognitive impairment among older adults in low- and middle-income countries.-, Aging clinical and experimental research, 2021, Vision impairment, Mild cognitive impairment, Older adults, Low- and middle-income countries, Epidemiology, Cross-Sectional Studies, Ageing, Older adults, Female, Geriatrics and Gerontology, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract

Aim: The association between visual impairment and mild cognitive impairment (MCI) has not been investigated to date. Thus, we assessed this association among older adults from six low- and middle-income countries (LMICs) (China, India, Ghana, Mexico, Russia, and South Africa) using nationally representative datasets. Methods: Cross-sectional, community-based data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. Visual acuity was measured using the tumbling ElogMAR chart, and vision impairment (at distance and near) was defined as visual acuity worse than 6/18 (0.48 logMAR) in the better-seeing eye. The definition of MCI was based on the National Institute on Aging-Alzheimer’s Association criteria. Multivariable logistic regression was conducted. Results: Data on 32,715 individuals aged ≥ 50years [mean (SD) age 62.1 (15.6) years; 51.2% females] were analyzed. Compared to those without far or near vision impairment, those with near vision impairment but not far vision impairment (OR = 1.33; 95% CI = 1.16–1.52), and those with both far and near vision impairment (OR = 1.70; 95% CI = 1.27–2.29) had significantly higher odds for MCI. Only having far vision impairment was not significantly associated with MCI. Conclusions: Visual impairment is associated with increased odds for MCI among older adults in LMICs with the exception of far vision impairment only. Future longitudinal and intervention studies should examine causality and whether improvements in visual acuity, or early intervention, can reduce risk for MCI and ultimately, dementia. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature.

Published
2021

47. Critical reappraisal of Balangero chrysotile and mesothelioma risk

Author

Yumi M Kumiya, Edward B. Ilgren, John A. Hoskins, Frederick D. Pooley, and Dr Ilgren wrote this paper when a Consultant to companies in asbestos litigation

Subjects
lcsh:R5-920, Epidemiology, business.industry, lcsh:Public aspects of medicine, lcsh:RA1-1270, Diagnostic accuracy, medicine.disease, Pleural disease, Cross matching, Tremolite Asbestos, Environmental health, Chrysotile, medicine, Amphibole asbestos, Tremolite, Mesothelioma, lcsh:Medicine (General), business
Abstract

BackgroundBalangero, 40 km northwest of Torino in the Piedmonte Region, was home to the largest and most active chrysotile mine in Europe operating from 1916 - 1990 and employed over 300 men at any one time. The chrysotile was thought to be pure. Despite this some claim it has been responsible for causing numerous mesotheliomas. This report refutes this claim on the grounds that it is not pure but potentially contaminated by tremolite asbestos. In addition there are numerous alternate sources of naturally occurring and commercially available amphibole asbestos in the region.MethodsGeological studies illustrate the presence of naturally occurring tremolite and various analyses have shown naturally occurring and commercially used amphibole its presence in animal and human tissue. The diagnostic criteria used to study pleural disease in the Balangero cohort were examined on a case by case basis. ResultsSeveral authors have searched available registries for post-mortem information and listed possible mesothelioma cases. Cross matching these searches has been attempted and the strength of their diagnoses examined. Conclusion.There is good evidence that crocidolite, amosite and tremolite are responsible for the alleged mesothelioma cases at Balangero. Myriad sources of naturally occurring and commercial amphibole asbestos exist in the region to account for the alleged cases. Regrettably, necessary information is incomplete and insufficient for the cohort which calls the diagnostic accuracy of the cases into question. The problem is further compounded by confusion surrounding job titles and raises the question if any of cases actually ever occurred in ‘miners’ per se.

Published
2022

48. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study

Author

Eva Ardanaz, Agnetha Linn Rostgaard-Hansen, Alessio Naccarati, Elisabete Weiderpass, Pekka Keski-Rahkonen, Rudolf Kaaks, Tilman Kühn, Anna Winkvist, Jośe Mariá Huerta, H. B. Bueno-De-Mesquita, Guri Skeie, Pietro Ferrari, Krasimira Aleksandrova, Gabriel Perlemuter, Augustin Scalbert, Olatz Mokoroa, Giovanna Tagliabue, Marc J. Gunter, Kim Overvad, José Ramón Quirós, Agneta Kiss, Marie-Christine Boutron-Ruault, Yahya Mahamat-Saleh, Talita Duarte-Salles, Nivonirina Robinot, Anne Tjønneland, Antonia Trichopoulou, Julie A. Schmidt, Christina C. Dahm, Roel Vermeulen, Rosario Tumino, Núria Sala, Joseph A. Rothwell, Sophia Harlid, Magdalena Stepien, Klas Sjöberg, Vivian Viallon, Neil Murphy, Anna Karakatsani, Salvatore Panico, Nicholas J. Wareham, María José Sánchez, Francesca Mancini, Domenico Palli, Mazda Jenab, Elio Riboli, Bodil Ohlsson, Kay-Tee Khaw, Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut National Du Cancer, INCa: 2014-1-RT-02-CIRC-1 Ministerie van Volksgezondheid, Welzijn en Sport, VWS Cancer Research UK, CRUK: C570/A16491 Ministerie van Volksgezondheid, Welzijn en Sport, VWS Ligue Contre le Cancer German Cancer Research Center, DKFZ Bundesministerium für Bildung und Forschung, BMBF Institut National de la Santé et de la Recherche Médicale, Inserm Kræftens Bekæmpelse, DCS National Research Council, NRC 6236 Hellenic Health Foundation, HHF Fondation Gustave Roussy European Commission, EC Centre International de Recherche sur le Cancer, CIRC Associazione Italiana per la Ricerca sul Cancro, AIRC RD06/0020 Deutsche Krebshilfe World Cancer Research Fund, WCRF Cancerfonden Medical Research Council, MRC: MR/M012190/1, This work was supported by the French National Cancer Institute (L'Institut National du Cancer, INCA) (grant number 2014-1-RT-02-CIRC-1, PI: M. Jenab). The coordination of EPIC is financially supported by the European Commission (DG-SANCO), and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle G?n?rale de l'Education Nationale, and Institut National de la Sant? et de la Recherche M?dicale (INSERM) (France), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum (DKFZ), and Federal Ministry of Education and Research (Germany), Hellenic Health Foundation (Greece), Italian Association for Research on Cancer (AIRC), National Research Council, and AIRE-ONLUS Ragusa, AVIS Ragusa, Sicilian Government (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), and Statistics Netherlands (the Netherlands), and Nordic Center of Excellence Programme on Food, Nutrition and Health (Norway), Health Research Fund (FIS), Regional Governments of Andaluc?a, Asturias, Basque Country, Murcia (No. 6236) and Navarra, and ISCIII RETIC (RD06/0020) and the Catalan Institute of Oncology (Spain), Swedish Cancer Society, Swedish Scientific Council, and Regional Government of Sk?ne and V?sterbotten (Sweden), Cancer Research UK (14136 for EPIC-Norfolk and C570/A16491 for EPIC-Oxford) and the Medical Research Council (1000143 for EPIC-Norfolk and MR/M012190/1 for EPIC-Oxford) (UK). The funding sources had no influence on the design of the study, the collection, analysis, and interpretation of data, the writing of the report, and or the decision to submit the paper for publication. Disclaimer: Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/World Health Organization.

Subjects
Male, Oncology, Cancer Research, medicine.medical_specialty, Carcinoma, Hepatocellular, prospective observational cohort, Glycocholic acid, [SDV.CAN]Life Sciences [q-bio]/Cancer, Mass Spectrometry, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Dehydroepiandrosterone sulfate, Internal medicine, Biomarkers, Tumor, medicine, Humans, Metabolomics, Prospective Studies, Aged, Hepatitis, business.industry, Liver Neoplasms, Cancer, Feeding Behavior, hepatocellular carcinoma, Middle Aged, medicine.disease, 3. Good health, European Prospective Investigation into Cancer and Nutrition, untargeted metabolomics, chemistry, Case-Control Studies, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Cohort, Female, business, Metabolic Networks and Pathways, Chromatography, Liquid, Cohort study
Abstract

International audience; Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (>520 000 participants), where we identified 129 HCC cases matched 1:1 to controls. We conducted high-resolution untargeted liquid chromatography-mass spectrometry-based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk, of which 14 were unambiguously identified using pure reference standards. Positive HCC-risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, l,l-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids and phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development.

Published
2020

49. The Real Effects of Bank Capital Requirements

Author

David Thesmar, Mathias Lé, Henri Fraisse, Haldemann, Antoine, Les Afriques dans le monde (LAM), Institut de Recherche pour le Développement (IRD)-Université Bordeaux Montaigne-Institut d'Études Politiques [IEP] - Bordeaux-Sciences Po Bordeaux - Institut d'études politiques de Bordeaux (IEP Bordeaux)-Centre National de la Recherche Scientifique (CNRS), Groupement de Recherche et d'Etudes en Gestion à HEC (GREGH), Ecole des Hautes Etudes Commerciales (HEC Paris)-Centre National de la Recherche Scientifique (CNRS), and HEC Paris Research Paper Series

Subjects
G28, Bank capital, Strategy and Management, Bank capital ratios, Bank regulation, Credit supply, Financial system, Basel II, Management Science and Operations Research, jel:G21, jel:G28, JEL: G - Financial Economics/G.G2 - Financial Institutions and Services/G.G2.G21 - Banks • Depository Institutions • Micro Finance Institutions • Mortgages, 0502 economics and business, ddc:330, Capital requirement, JEL: G - Financial Economics/G.G2 - Financial Institutions and Services/G.G2.G28 - Government Policy and Regulation, 050207 economics, E51, health care economics and organizations, Measure (data warehouse), 050208 finance, jel:E51, 05 social sciences, 1. No poverty, JEL: E - Macroeconomics and Monetary Economics/E.E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit/E.E5.E51 - Money Supply • Credit • Money Multipliers, Bank capital ratios, Bank regulation, Credit supply, Investment (macroeconomics), 8. Economic growth, [SHS.GESTION]Humanities and Social Sciences/Business administration, G21, Business, [SHS.GESTION] Humanities and Social Sciences/Business administration
Abstract

We measure the impact of bank capital requirements on corporate borrowing and expansion. We use French loan-level data and take advantage of the transition from Basel I to Basel II. While under Basel I the capital charge was the same for all firms, under Basel II, it depends in a predictable way on both the bank's model and the firm's risk. We exploit this two-way variation to empirically estimate the sensitivity of bank lending to capital requirement. This rich identification allows us to control for firm-level credit demand shocks and bank-level credit supply shocks. We find very large effects of capital requirements on bank lending: A 1 percentage point decrease in capital requirement leads to an increase in loan size by about 5%. At the firm level, borrowing also responds strongly although a bit less, consistent with some limited between-bank substitutability. Investment and employment also increase strongly. Overall, because the transition to Basel II led to an average reduction by 2 percentage points of capital requirements, we estimate that the new regulation led, in France, to an increase in average loan size by 10%, an increase in aggregate corporate lending by 1.5%, an increase in aggregate investment by 0.5%, and the creation or preservation of 235,000 jobs.

Published
2020

50. Seismic constraints from a Mars impact experiment using InSight and Perseverance

Author

Manish R. Patel, Nicholas A Teanby, Taichi Kawamura, Matthieu Plasman, Marouchka Froment, Tarje Nissen-Meyer, N. Wójcicka, Philippe Lognonné, Constantinos Charalambous, Nikolaj Dahmen, Lilya Posiolova, A. Stott, Simon Stähler, Géraldine Zenhäusern, Anna Horleston, Benjamin Fernando, Aymeric Spiga, Lucie Rolland, Ingrid Daubar, Bruce Banerdt, Ross Maguire, John Clinton, Carene Larmat, Özgür Karatekin, Gareth S. Collins, Savas Ceylan, Matthew P. Golombek, Domenico Giardini, Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Science and Technology Facilities Council (STFC), Department of Earth Sciences [Oxford], University of Oxford, Department of Earth Science and Engineering [Imperial College London], Imperial College London, Department of Geology [College Park], University of Maryland [College Park], University of Maryland System-University of Maryland System, Michigan State University [East Lansing], Michigan State University System, Department of Earth Sciences [Swiss Federal Institute of Technology - ETH Zürich] (D-ERDW), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Department of Electrical and Electronic Engineering [London] (DEEE), Earth and Environmental Sciences Division [Los Alamos], Los Alamos National Laboratory (LANL), Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), School of Earth Sciences [Bristol], University of Bristol [Bristol], Royal Observatory of Belgium [Brussels] (ROB), The Open University [Milton Keynes] (OU), Malin Space Science Systems (MSSS), Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Department of Earth, Environmental and Planetary Sciences [Providence], Brown University, This paper constitutes InSight contribution number 218 and LA-UR-21-26319. B.F. and T.N.-M. are supported by the Natural Environment Research Council under the Oxford Environmental Research Doctoral Training Partnership, and the UK Space Agency Aurora grant ST/S001379/1. M.R.P. acknowledges support from the UK Space Agency (grants ST/S00145X/1 and ST/V002295/1). A.H. is funded by the UK Space Agency (grant ST/R002096/1). N.W. and G.S.C. are funded by UK Space Agency grants ST/S001514/1 and ST/T002026/1. S.C.S., G.Z., J.C. and N.D. acknowledge support from ETH Zürich through the ETH+ funding scheme (ETH+02 19-1: ‘Planet Mars’). N.A.T. is funded by UK Space Agency grants ST/R002096/1 and ST/T002972/1. M.F. and C.L. are funded by the Center for Space and Earth Science of Los Alamos National Laboratory. P.L., T.K., A.S., A.E.S., L.R. and M.F. acknowledge the support of CNES and of ANR (MAGIS, ANR-19-CE31-0008-08) for SEIS science support. I.J.D. is supported by NASA InSight Participating Scientist grant 80NM0018F0612. O.K. acknowledges the support of the Belgian Science Policy Office (BELSPO) through the ESA/PRODEX programme. A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA., and ANR-19-CE31-0008,MAGIS,MArs Geophysical InSight(2019)

Subjects
Martian, Spacecraft, business.industry, Mars landing, Mars, NASA InSight Mission, Astronomy and Astrophysics, Atmosphere of Mars, Mars Exploration Program, Seismic wave, Planet, [SDU]Sciences of the Universe [physics], Inner planets, Martian surface, Impacts, Traitement du signal et de l'image, business, Seismology, Geology
Abstract

NASA's InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) mission has operated a sophisticated suite of seismology and geophysics instruments on the surface of Mars since its arrival in 2018. On 18 February 2021, we attempted to detect the seismic and acoustic waves produced by the entry, descent and landing of the Perseverance rover using the sensors onboard the InSight lander. Similar observations have been made on Earth using data from both crewed(1,2) and uncrewed(3,4) spacecraft, and on the Moon during the Apollo eras(5), but never before on Mars or another planet. This was the only seismic event to occur on Mars since InSight began operations that had an a priori known and independently constrained timing and location. It therefore had the potential to be used as a calibration for other marsquakes recorded by InSight. Here we report that no signal from Perseverance's entry, descent and landing is identifiable in the InSight data. Nonetheless, measurements made during the landing window enable us to place constraints on the distance-amplitude relationships used to predict the amplitude of seismic waves produced by planetary impacts and place in situ constraints on Martian impact seismic efficiency (the fraction of the impactor kinetic energy converted into seismic energy)., Nature Astronomy, 6 (1), ISSN:2397-3366

Published
2022
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