The Relationships Between Skeletal Muscle Index and Bone Variables in a Group of Young Adults

International audienceThe purpose of this study was to investigate the relationships between skeletal muscle index (SMI) and bone variables in a group of young adults. Three hundred and thirty-five young adults (129 men and 206 women) whose ages ranged from 18 to 35 yr voluntarily participated in this study. Weight and height were measured, and body mass index (BMI) was calculated. Body composition, bone mineral content (BMC), bone mineral density (BMD), geometric indices of hip bone strength and trabecular bone score (TBS) were determined for each individual by Dual-energy X-ray absorptiometry (DXA). Appendicular skeletal mass (ASM, in kg) was calculated by summing the muscle masses of the 4 limbs, assuming that all nonfat and nonebone mass is skeletal muscle. Skeletal muscle index (SMI) was defined as ASM/height². In young men, SMI was positively correlated to WB BMC (r = 0.63; p < 0.001), WB BMD (r = 0.53; p < 0.001), L1-L4 BMC (r = 0.33; p < 0.001), L1-L4 BMD (r = 0.30; p < 0.001), L1-L4 TBS (r = 0.26; p < 0.01), TH BMC (r = 0.61; p < 0.001), TH BMD (r = 0.46; p < 0.001), FN BMC (r = 0.51; p < 0.001), FN BMD (r = 0.46; p < 0.001), FN cross-sectional area (CSA) (r = 0.56; p < 0.001), FN cross-sectional moment of inertia (CSMI) (r = 0.52; p < 0.001) and FN section modulus (Z) (r = 0.54; p < 0.001) but negatively correlated to FN strength index (SI) (r = -0.24; p < 0.01). In young women, SMI was positively correlated to WB BMC (r = 0.61; p < 0.001), WB BMD (r = 0.60; p < 0.001), L1-L4 BMC (r = 0.35; p < 0.001), L1-L4 BMD (r = 0.33; p < 0.001), L1-L4 TBS (r = 0.29; p < 0.001), TH BMC (r = 0.61; p < 0.001), TH BMD (r = 0.53; p < 0.001), FN BMC (r = 0.45; p < 0.001), FN BMD (r = 0.49; p < 0.001), FN CSA (r = 0.60; p < 0.001), FN CSMI (r = 0.52; p < 0.001), and FN Z (r = 0.40; p < 0.001) but negatively correlated to FN SI (r = -0.20; p < 0.01). The current study suggests that SMI is a positive determinant of bone mineral density and geometric indices of hip bone strength in young adults

MEES-WuR: Minimum Energy Coding with Early Shutdown for Wake-up Receivers

International audienceOne of the main challenges of wireless sensor networks is to maintain sensor nodes alive as long as possible, and a lot of efforts are dedicated to enable energy efficient communications. Wake-Up Receivers (WuRs) represent a promising solution for reducing the power consumption of nodes by enabling asynchronous communications. However, to achieve an ultra-low power consumption, WuRs circuits are kept as simple as possible, inducing a low sensitivity and thus a short range communication. As channel coding improves sensitivity, we propose to take advantage of the computing capability of the WuRs to apply a specific channel coding. The novelty resides in applying Minimum Energy coding with an Early Shutdown (MEES) of WuRs based on On-Off Keying (OOK) detectors. Both theoretical derivations and Monte-Carlo simulations show that the proposed coding scheme improves the reliability. Moreover, Moreover, MEES has been implemented on a non-coherent WuR prototype, and it is shown through experimentation that WuR reliability can be raised up to 22% compared to uncoded communications. Moreover, both the energy consumption and the latency can be significantly decreased thanks to the shutdown mechanism of MEES

Implémentation du codage à minimum d'énergie pour les wake-up radios

National audienceWake-up Radios (WuRs) represent one of the most promising solutions for allowing an ultra-low power consumption in wireless sensor networks. However, WuRs have several limitations such as low sensitivity, inducing a miss-interpret of the wake-up signal, and thus a performance degradation of the whole system. This work introduces the use of minimum energy coding in order to enhance the WuR reliability while being energy efficient. The decoding is implemented on the micro-controller of the used WuR platform. It is shown, by combining analytical models and experimental measurements, an enhancement on the reliability up to 22% and a total energy saving of 42% while applying minimum energy coding.Les Wake-up Radios (WuR) sont une des solutions les plus prometteuses pour permettre une consommation d'énergie ultra faible dans les réseaux de capteurs sans fil. Cependant, les WuR ont plusieurs limitations telles que leur faible sensibilité, induisant une mauvaise réception du signal de réveil, et donc une dégradation des performances de l'ensemble du système. Ce travail introduit l'utilisation d'un codage à minimum d'énergie afin d'améliorer la fiabilité des WuR tout en étant économe en énergie. Le décodage est implémenté sur le micro-contrôleur faible consommation de la WuR utilisée. Il est démontré, en combinant des modèles analytiques et des mesures expérimentales, une amélioration de la fiabilité jusqu'à 22% et une économie d'énergie totale de 42% lorsque le codage à minimum d'énergie est utilisé

Enhancing Wake-Up Radio Range Through Minimum Energy Coding

International audienceA substantial part of the research on wireless sensor networks is focused on the optimization of the energy consumption through either hardware or protocol communication stacks. Wake-up Receivers (WuRs) represent a new paradigm that offers both ultra low power consumption and low latency through asynchronous communications. However, WuRs have a low sensitivity and thus can misinterpret the received signal inducing a performance degradation of the whole communicating system. To tackle this issue, low power channel coding techniques can be used and we propose in this work to apply Hamming coding and Minimum Energy Coding (ME) to enhance WuR range. A performance study of these two types of coding shows that ME coding outperforms Hamming code in reducing both bit error rate and energy consumption. At a range of 28 m, ME coding saves about 3 times the energy at a bit error rate of $10^{−3}$ compared to uncoded scheme. Furthermore, experimentation on the missed wake-ups when applying ME coding was done, showing a gain of 22% in reliability compared to uncoded scheme

Joint EigenValue Decomposition for Quantum Information Theory and Processing

The interest in quantum information processing has given rise to the development of programming languages and tools that facilitate the design and simulation of quantum circuits. However, since the quantum theory is fundamentally based on linear algebra, these high-level languages partially hide the underlying structure of quantum systems. We show that in certain cases of practical interest, keeping a handle on the matrix representation of the quantum systems is a fruitful approach because it allows the use of powerful tools of linear algebra to better understand their behavior and to better implement simulation programs. We especially focus on the Joint EigenValue Decomposition (JEVD). After giving a theoretical description of this method, which aims at finding a common basis of eigenvectors of a set of matrices, we show how it can easily be implemented on a Matrix-oriented programming language, such as Matlab (or, equivalently, Octave). Then, through two examples taken from the quantum information domain (quantum search based on a quantum walk and quantum coding), we show that JEVD is a powerful tool both for elaborating new theoretical developments and for simulation

Mechanistic investigations of the asymmetric hydrosilylation of ketimines with trichlorosilane reveals a dual activation model and an organocatalyst with enhanced efficiency.

Structural probes used to help elucidate mechanistic information of the organocatalyzed asymmetric ketimine hydrosilylation have revealed a new catalyst with unprecedented catalytic activity, maintaining adequate performance at 0.01 mol% loading. A new 'dual activation' model has been proposed that relies on the presence of both a Lewis basic and Brønsted acidic site within the catalyst architecture

Altered Ca2+ Homeostasis in Red Blood Cells of Polycythemia Vera Patients Following Disturbed Organelle Sorting during Terminal Erythropoiesis

The authors thank Thierry Peyrard, Dominique Gien, Sirandou Tounkara, and Eliane Véra at Centre National de Référence pour les Groupes Sanguins for the management of blood samples. The authors thank Sandrine Genetet and Isabelle Mouro-Chanteloup at the Inserm UMR_S1134 unit for their assistance in experiments. The authors also thank Michaël Dussiot at the Institute Imagine for his assistance in imaging flow cytometry. We thank Johanna Bruce and Virginie Salnot at 3P5 Proteomics Platform for sample preparation and analysis, and François Guillonneau and Patrick Mayeux for their management and strategies. Funding: The work was supported by Institut National de la Santé et de la Recherche Médicale (Inserm); Institut National de la Transfusion Sanguine (INTS); the University of Paris; and grants from Laboratory of Excellence (Labex) GR-Ex, reference No. ANR-11-LABX-0051. The Labex GR- Ex is funded by the IdEx program “Investissements d’avenir” of the French National Research Agency, reference No. ANR-11-IDEX-0005-02 and ANR-18-IDEX-0001. R.B., M.G.R., and D.M.A. were funded by the European Union’s Horizon 2020 Research and Innovation Program under grant agreement No. 675115-RELEVANCE-H2020-MSCA-ITN-2015. R.B. also received financial support from Société Française d’Hématologie (SFH) and Club du Globule Rouge et du Fer (CGRF). R.B. is currently funded by the Innovate UK Research and Innovation Knowledge Transfer Partnership (KTP) between University of Aberdeen and Vertebrate Antibodies Ltd. (Partnership No. KTP12327). T.D. was supported by PhD grants from Université Paris Saclay MESR (Ministère Enseignement Supérieur et de la Recherche) and then FRM (Fondation recherche médicale). The Orbitrap Fusion mass spectrometer was acquired with funds from Fonds Europeen de Developpement Regional (FEDER) through the Operational Program for Competitiveness Factors and Employment 2007-2013 and from the Canceropole Ile de France.Peer reviewedPublisher PD

The revenge of asynchronous protocols: Wake-up Radio-based Multi-hop Multi-channel MAC protocol for WSN

International audienceSynchronized MAC protocols are now considered as the ultimate solution to access the medium in wireless sensor networks. They guarantee both high throughout and constant latency and achieve reasonable energy consumption performance. However, synchronization is achieved at the cost of a complex framework with low flexibility on its parameters that is not suitable for some network topologies or application requirements. By contrast, asynchronous MAC protocols are versatile by nature but suffer from the tradeoff between energy consumption and latency. However, the addition of Wake-up Radio (WuR) can reduce the energy consumption of such protocols while maintaining very low latency thanks to its always-on feature and ultra-low power consumption. In this article, we present WuR- based Multi-hop Multi-channel (W2M), an asynchronous MAC protocol for wireless sensor networks. We also provide a fair comparison with Time Synchronized Channel Hopping (TSCH) through an extensive simulation campaign based on Contiki-NG and Cooja. Our results show that in low traffic scenarios, W2M outperforms TSCH in reducing both the energy consumption and the latency (at least 68% of energy is saved), but at the cost of slightly lower reliability