Showing papers by "Université de Sherbrooke published in 2011"

TRY - a global database of plant traits

Abstract: Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.

Shrub expansion in tundra ecosystems: dynamics, impacts and research priorities

Abstract: Recent research using repeat photography, long-term ecological monitoring and dendrochronology has documented shrub expansion in arctic, high-latitude and alpine tundra

Macrocycles Are Great Cycles: Applications, Opportunities, and Challenges of Synthetic Macrocycles in Drug Discovery

Abstract: Macrocycles occupy a unique segment of chemical space. In the past decade, their chemical diversity expanded significantly, supported by advances in bioinformatics and synthetic methodology. As a consequence, this structural type has now been successfully tested on most biological target classes. The goal of this article is to put into perspective the current applications, opportunities, and challenges associated with synthetic macrocycles in drug discovery. Historically, macrocyclic drug candidates have originated primarily from two sources. The first, natural products, provided unique drugs such as erythromycin, rapamycin, vancomycin, cyclosporin, and epothilone. Excellent reviews are dedicated to this class and how it inspired further synthetic and medicinal chemistry efforts; thus, it will not be covered here. From a molecular evolution standpoint, the medicinal chemistry of macrocyclic natural products usually involved direct use as a therapeutic agent or functionalization of the natural product scaffold by hemisynthesis. It parallels significant advances in the total synthesis of macrocyclic natural products during the past 2 decades. The second traditional source of macrocycles stems from peptides, some of which are natural products and, hence, also belong to the first category. Macrocyclization was recognized early in peptide chemistry as an efficient way to restrict peptide conformation, reduce polarity, increase proteolytic stability, and consequently improve druggability. Chemists accessed macrocyclic peptides with different geometries (head to tail, side chain to side chain, head to side chain), including the incorporation of nonpeptidic groups. Compelling examples of macrocyclic scaffolding of peptides include the works on somatostatins, melanocortins, and integrins, among others. Macrocyclic peptides generated several drugs from synthetic or natural sources, including octreotide, cyclosporine, eptifibatide, and caspofungin. Purely peptidic, depsipeptidic, and peptoid macrocycles will also not be covered in this article; the reader is instead referred to previous reviews. It is well understood that the boundary between synthetic macrocycles and the above categories is not always clear-cut; as a result, examples presented in the following sections could occasionally belong to one of these categories. In these cases, they were selected owing to their relevance to the perspective. Macrocycles are defined herein as molecules containing at least one large ring composed of 12 or more atoms. On the basis of standard molecular descriptors, macrocycles as a class are at the outskirts of the window generally considered optimal for good PK-ADME properties using these criteria. Indeed, their molecular weights tend to be on the higher end (often in the 500-900 g 3mol -1 range), their numbers of H-bond donors and acceptors, as well as their polar surface area (PSA), tend to be on the far side of the accepted druglike spectrum. For an equal number of heavy atoms, macrocycles inherently possess a lower number of rotatable bonds than their acyclic analogues, a beneficial feature for oral bioavailability (in the following, “acyclic” will be used in the sense of “nonmacrocyclic”). As a result, macrocycles are more conformationally restricted than their acyclic analogues, which potentially can impart higher target binding and selectivity and improved oral bioavailability (in this assessment, endocyclic bonds are considered to be nonrotatable, which is only an approximation; see ref 18). For a systematic chemoinformatic analysis of biologically active macrocycles, the reader is referred to the recent review of Brandt et al. Topologically, macrocycles have the unique ability to span large surface areas while remaining conformationally restricted compared to acyclic molecules of equivalent molecular weight. This characteristic makes them especially suited for targets displaying shallow surfaces, which can prove to be quite challenging for acyclic small molecules. Medicinal chemistry relies strategically on robust synthetic methods capable of producing an acceptable chemical diversity to adequately interrogate the chemical space of a biological target. Macrocycles are often (and rightly so) perceived as difficult to synthesize and hence deterred many medicinal chemists because of the lack of versatile synthetic platforms. The macrocyclization step is regularly plagued by low yields and often requires high dilution conditions to counterbalance entropic loss. In other words, the reduction in entropy responsible for beneficial conformational restrictions to the final molecule comes at a price during synthesis: what goes around comes around. Accordingly, the first part of this article is dedicated to the drug discovery aspects ofmacrocycles and highlights salient features of their medicinal chemistry. This section is organized by target class, a choice aimed at providing the reader an appreciation of the structural diversity generated for each class. To give the reader an appreciation of the tools available to construct macrocyclic scaffolds, the site and method of the pivotal macrocyclization step are indicated in the figures. Readers are referred to the source articles for further details. In the second part, the technologies and synthetic approaches that already have demonstrated utility or possess a high potential for macrocycle-based

Disentangling the Drivers of β Diversity Along Latitudinal and Elevational Gradients

Abstract: Understanding spatial variation in biodiversity along environmental gradients is a central theme in ecology. Differences in species compositional turnover among sites (β diversity) occurring along gradients are often used to infer variation in the processes structuring communities. Here, we show that sampling alone predicts changes in β diversity caused simply by changes in the sizes of species pools. For example, forest inventories sampled along latitudinal and elevational gradients show the well-documented pattern that β diversity is higher in the tropics and at low elevations. However, after correcting for variation in pooled species richness (γ diversity), these differences in β diversity disappear. Therefore, there is no need to invoke differences in the mechanisms of community assembly in temperate versus tropical systems to explain these global-scale patterns of β diversity.

Characterizing the profile of obese patients who are metabolically healthy

Abstract: The presence of obesity-related metabolic disturbances varies widely among obese individuals. Accordingly, a unique subset of obese individuals has been described in the medical literature, which seems to be protected or more resistant to the development of metabolic abnormalities associated with obesity. These individuals, now known as 'metabolically healthy but obese' (MHO), despite having excessive body fatness, display a favorable metabolic profile characterized by high levels of insulin sensitivity, no hypertension as well as a favorable lipid, inflammation, hormonal, liver enzyme and immune profile. However, recent studies have indicated that this healthier metabolic profile may not translate into a lower risk for mortality. Mechanisms that could explain the favorable metabolic profile of MHO individuals are poorly understood. However, preliminary evidence suggests that differences in visceral fat accumulation, birth weight, adipose cell size and gene expression-encoding markers of adipose cell differentiation may favor the development of the MHO phenotype. Despite the uncertainty regarding the exact degree of protection related to the MHO status, identification of underlying factors and mechanisms associated with this phenotype will eventually be invaluable in helping us understand factors that predispose, delay or protect obese individuals from metabolic disturbances. Collectively, a greater understanding of the MHO individual has important implications for therapeutic decision making, the characterization of subjects in research protocols and medical education.

Quantum Mechanical Investigations of Organocatalysis: Mechanisms, Reactivities, and Selectivities

Abstract: Organocatalysis has captured the imagination of a significant group of synthetic chemists. Much of the mechanistic understanding of these reactions has come from computational investigations or studies involving both experimental and complementary computational explorations. As much as any other area of chemistry, organocatalysis has advanced because of both empirical discoveries and computational insights. Quantum mechanical calculations, particularly with density functional theory (DFT), can now be applied to real chemical systems that are studied by experimentalists; this review describes the quantum mechanical studies of organocatalysis. The dramatic growth of computational investigations on organocatalysis in the last decade reflects the great attention focused on this area of chemistry since the discoveries of List, Lerner, and Barbas of the proline-catalyzed intermolecular aldol reaction, and by MacMillan in the area of catalysis by chiral amino-acid derived amines. The number of reports on the successful applications of organocatalysts and related mechanistic investigations for understanding the origins of catalysis and selectivities keep growing at a breathtaking pace. Literature coverage in this review is until October 2009, except for very recent discoveries that alter significantly the conclusions based on older literature. 1.1 Computational methods for organocatalysis Over the last two decades, DFT has become a method of choice for the cost-effective treatment of large chemical systems with high accuracy.1 Most of the studies reported in this review were carried out using the B3LYP functional with the 6-31G(d) basis set, which is a standard in quantum mechanical calculations. Nevertheless, DFT is experiencing continuing developments of new functionals and further improvements. The availability of many new functionals and, in particular, the rapidly evolving performance issues of B3LYP have stimulated extra efforts on benchmarking DFT methods for the prediction of key classes of organic reactions.2 The well-documented deficiencies of B3LYP include the failure to adequately describe medium-range correlation and photobranching effects,3,4 delocalization errors causing significant deviations in π→σ transformations,2b,5 and incorrect description of non-bonding and long-range interactions,6 which are likely to be key factors in determining stereoselectivities. Benchmark results also show that newer functionals considerably improve some of the underlying issues.2–7 Recent advances, especially in the treatment of dispersion effects, now offer more reliable models of the reaction profiles and stereoselectivities. Most benchmarks focus on energetics rather than stereoselectivities. Systematic benchmarking for stereoselectivities requires more sophisticated techniques and averaging over conformations. To date, such benchmarking based upon stereoselectivity is available for only three reactions,8 and even there only various basis sets with B3LYP, as well as comparisons of results predicted using enthalpies and free energies. It is not possible to assign error bars for stereoselectivities for the majority of reports discussed in this review. Because stereoisomeric transition structures are very similar species, their relative energies are likely to be calculated accurately, as shown by the good agreement between calculated and experimental values. More recently Harvey (Harvey, 2010, faraday discussions) has studied two typical organic reactions of polar species (Wittig and Morita-Baylis-Hillman reactions) at different levels of theory.2i He showed that many standard computational methods, involving B3LYP, are qualitatively useful, but the energetics may be misleading for larger reactive partners; the quantitative prediction of rate constants remains difficult. These studies suggest that although B3LYP provides valuable qualitative insight into the reaction mechanisms and selectivities, the energetics may require testing with higher accuracy methods for complex organic systems. On the other hand, Simon and Goodman found B3LYP to be “only slightly less accurate” than newer methods, and recommended its use for organic reaction mechanisms.9

Near-Infrared Light-Triggered Dissociation of Block Copolymer Micelles Using Upconverting Nanoparticles

Abstract: We demonstrate a novel strategy enabling the use of a continuous-wave diode near-infrared (NIR) laser to disrupt block copolymer (BCP) micelles and trigger the release of their “payloads”. By encapsulating NaYF4:TmYb upconverting nanoparticles (UCNPs) inside micelles of poly(ethylene oxide)-block-poly(4,5-dimethoxy-2-nitrobenzyl methacrylate) and exposing the micellar solution to 980 nm light, photons in the UV region are emitted by the UCNPs, which in turn are absorbed by o-nitrobenzyl groups on the micelle core-forming block, activating the photocleavage reaction and leading to the dissociation of BCP micelles and release of co-loaded hydrophobic species. Our strategy of using UCNPs as an internal UV or visible light source upon NIR light excitation represents a general and efficient method to circumvent the need for UV or visible light excitation that is a common drawback for light-responsive polymeric systems developed for potential biomedical applications.

Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: a systematic review.

Abstract: Electronic health record (EHR) implementation is currently underway in Canada, as in many other countries. These ambitious projects involve many stakeholders with unique perceptions of the implementation process. EHR users have an important role to play as they must integrate the EHR system into their work environments and use it in their everyday activities. Users hold valuable, first-hand knowledge of what can limit or contribute to the success of EHR implementation projects. A comprehensive synthesis of EHR users' perceptions is key to successful future implementation. This systematic literature review was aimed to synthesize current knowledge of the barriers and facilitators influencing shared EHR implementation among its various users. Covering a period from 1999 to 2009, a literature search was conducted on nine electronic databases. Studies were included if they reported on users' perceived barriers and facilitators to shared EHR implementation, in healthcare settings comparable to Canada. Studies in all languages with an empirical study design were included. Quality and relevance of the studies were assessed. Four EHR user groups were targeted: physicians, other health care professionals, managers, and patients/public. Content analysis was performed independently by two authors using a validated extraction grid with pre-established categorization of barriers and facilitators for each group of EHR users. Of a total of 5,695 potentially relevant publications identified, 117 full text publications were obtained after screening titles and abstracts. After review of the full articles, 60 publications, corresponding to 52 studies, met the inclusion criteria. The most frequent adoption factors common to all user groups were design and technical concerns, ease of use, interoperability, privacy and security, costs, productivity, familiarity and ability with EHR, motivation to use EHR, patient and health professional interaction, and lack of time and workload. Each user group also identified factors specific to their professional and individual priorities. This systematic review presents innovative research on the barriers and facilitators to EHR implementation. While important similarities between user groups are highlighted, differences between them demonstrate that each user group also has a unique perspective of the implementation process that should be taken into account.

Conservation of caribou (Rangifer tarandus) in Canada: an uncertain future11This review is part of the virtual symposium “Flagship Species – Flagship Problems” that deals with ecology, biodiversity and management issues, and climate impacts on species at risk and of Canadian importance, including the polar bear (Ursus maritimus), Atlantic cod (Gadus morhua), Piping Plover (Charadrius melodus), and caribou (Rangifer tarandus).

Abstract: Caribou (Rangifer tarandus (L., 1758)) play a central role in the ecology and culture of much of Canada, where they were once the most abundant cervid. Most populations are currently declining, and some face extirpation. In southern Canada, caribou range has retreated considerably over the past century. The ultimate reason for their decline is habitat alterations by industrial activities. The proximate causes are predation and, to a lesser extent, overharvest. The most southerly populations of “Mountain” caribou are at imminent risk of extirpation. Mountain caribou are threatened by similar industrial activities as Boreal caribou, and face increasing harassment from motorized winter recreational activities. Most populations of “Migratory Tundra” caribou are currently declining. Although these caribou fluctuate in abundance over decades, changing harvest technologies, climate change, increasing industrial development and human presence in the North raise doubts over whether recent declines will be followed...

Observation of Resonant Photon Blockade at Microwave Frequencies Using Correlation Function Measurements

Abstract: Creating a train of single photons and monitoring its propagation and interaction is challenging in most physical systems, as photons generally interact very weakly with other systems. However, when confining microwave frequency photons in a transmission line resonator, effective photon-photon interactions can be mediated by qubits embedded in the resonator. Here, we observe the phenomenon of photon blockade through second-order correlation function measurements. The experiments clearly demonstrate antibunching in a continuously pumped source of single microwave photons measured by using microwave beam splitters, linear amplifiers, and quadrature amplitude detectors. We also investigate resonance fluorescence and Rayleigh scattering in Mollow-triplet-like spectra.

Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed

Abstract: [1] General circulation models (GCMs) and greenhouse gas emissions scenarios (GGES) are generally considered to be the two major sources of uncertainty in quantifying the climate change impacts on hydrology. Other sources of uncertainty have been given less attention. This study considers overall uncertainty by combining results from an ensemble of two GGES, six GCMs, five GCM initial conditions, four downscaling techniques, three hydrological model structures, and 10 sets of hydrological model parameters. Each climate projection is equally weighted to predict the hydrology on a Canadian watershed for the 2081–2100 horizon. The results show that the choice of GCM is consistently a major contributor to uncertainty. However, other sources of uncertainty, such as the choice of a downscaling method and the GCM initial conditions, also have a comparable or even larger uncertainty for some hydrological variables. Uncertainties linked to GGES and the hydrological model structure are somewhat less than those related to GCMs and downscaling techniques. Uncertainty due to the hydrological model parameter selection has the least important contribution among all the variables considered. Overall, this research underlines the importance of adequately covering all sources of uncertainty. A failure to do so may result in moderately to severely biased climate change impact studies. Results further indicate that the major contributors to uncertainty vary depending on the hydrological variables selected, and that the methodology presented in this paper is successful at identifying the key sources of uncertainty to consider for a climate change impact study.

Measuring Patients’ Perceptions of Patient-Centered Care: A Systematic Review of Tools for Family Medicine

Abstract: PURPOSE Patient-centered care is widely acknowledged as a core value in family medicine. In this systematic review, we aimed to identify and compare instru- ments, subscales, or items assessing patients' perceptions of patient-centered care in family medicine. METHODS We conducted a systematic literature review using the MEDLINE, Embase, and Cochrane databases covering 1980 through April 2009, with a spe- cifi c search strategy for each database. The search strategy was supplemented with searching by hand and expert suggestions. We looked for articles meeting all of the following criteria: (1) describing self-administered instruments measuring patient perceptions of patient-centered care; (2) reporting quantitative or psychometric results of development or validation; (3) being relevant to an ambulatory family medicine context. The quality of each article retained was assessed using a modi- fi ed version of the Standards for Reporting of Diagnostic Accuracy. Instrument' items were mapped to dimensions of a patient-centered care conceptual framework. RESULTS Of the 3,045 articles identifi ed, 90 were examined in detail, and 26, covering 13 instruments, met our inclusion criteria. Two instruments (5 articles) were dedicated to patient-centered care: the Patient Perception of Patient-Cen- teredness and the Consultation Care Measure, and 11 instruments (21 articles) included relevant subscales or items. CONCLUSIONS The 2 instruments dedicated to patient-centered care address key dimensions but are visit-based, limiting their applicability for the study of care processes over time, such as chronic illness management. Relevant items from the 11 other instruments provide partial coverage of the concept, but these instru- ments were not designed to provide a specifi c assessment of patient-centered care.

Botrytis cinerea Manipulates the Antagonistic Effects between Immune Pathways to Promote Disease Development in Tomato

Abstract: Plants have evolved sophisticated mechanisms to sense and respond to pathogen attacks. Resistance against necrotrophic pathogens generally requires the activation of the jasmonic acid (JA) signaling pathway, whereas the salicylic acid (SA) signaling pathway is mainly activated against biotrophic pathogens. SA can antagonize JA signaling and vice versa. Here, we report that the necrotrophic pathogen Botrytis cinerea exploits this antagonism as a strategy to cause disease development. We show that B. cinerea produces an exopolysaccharide, which acts as an elicitor of the SA pathway. In turn, the SA pathway antagonizes the JA signaling pathway, thereby allowing the fungus to develop its disease in tomato (Solanum lycopersicum). SA-promoted disease development occurs through Nonexpressed Pathogen Related1. We also show that the JA signaling pathway required for tomato resistance against B. cinerea is mediated by the systemin elicitor. These data highlight a new strategy used by B. cinerea to overcome the plant’s defense system and to spread within the host.

Dissipation and ultrastrong coupling in circuit QED

Abstract: Cavity and circuit QED study light-matter interaction at its most fundamental level. Yet, this interaction is most often neglected when considering the coupling of this system with an environment. In this paper, we show how this simplification, which leads to the standard quantum optics master equation, is at the root of unphysical effects. Including qubit relaxation and dephasing, and cavity relaxation, we derive a master equation that takes into account the qubit-resonator coupling. Special attention is given to the ultrastrong coupling regime, where the failure of the quantum optical master equation is manifest. In this situation, our model predicts an asymmetry in the vacuum Rabi splitting that could be used to probe dephasing noise at unexplored frequencies. We also show how fluctuations in the qubit frequency can cause sideband transitions, squeezing, and Casimir-like photon generation.

A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis

Abstract: The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent profile analyses and factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...

An analysis of clinical reasoning through a recent and comprehensive approach: the dual-process theory

Abstract: Context: Clinical reasoning plays a major role in the ability of doctors to make diagnoses and decisions. It is considered as the physician’s most critical competence, and has been widely studied by physicians, educationalists, psychologists and sociologists. Since the 1970s, many theories about clinical reasoning in medicine have been put forward. Purpose: This paper aims at exploring a comprehensive approach: the ‘‘dual-process theory’’, a model developed by cognitive psychologists over the last few years. Discussion: After 40 years of sometimes contradictory studies on clinical reasoning, the dual-process theory gives us many answers on how doctors think while making diagnoses and decisions. It highlights the importance of physicians’ intuition and the high level of interaction between analytical and non-analytical processes. However, it has not received much attention in the medical education literature. The implications of dual-process models of reasoning in terms of medical education will be discussed. Keywords: Dual process; analytical reasoning; expertise; professional intuition; hypothetico-deduction; pattern recognition; diagnostic errors (Published: 14 March 2011) Citation: Medical Education Online 2011, 16 : 5890 - DOI: 10.3402/meo.v16i0.5890

Three-Dimensional Electron Microscopy Simulation with the CASINO Monte Carlo Software

Abstract: Monte Carlo softwares are widely used to understand the capabilities of electron microscopes. To study more realistic applications with complex samples, 3D Monte Carlo softwares are needed. In this article, the development of the 3D version of CASINO is presented. The software feature a graphical user interface, an efficient (in relation to simulation time and memory use) 3D simulation model, accurate physic models for electron microscopy applications, and it is available freely to the scientific community at this website: www.gel.usherbrooke.ca/casino/index.html. It can be used to model backscattered, secondary, and transmitted electron signals as well as absorbed energy. The software features like scan points and shot noise allow the simulation and study of realistic experimental conditions. This software has an improved energy range for scanning electron microscopy and scanning transmission electron microscopy applications.

Quantum Metropolis sampling

Abstract: The original motivation to build a quantum computer came from Feynman, who imagined a machine capable of simulating generic quantum mechanical systems--a task that is believed to be intractable for classical computers. Such a machine could have far-reaching applications in the simulation of many-body quantum physics in condensed-matter, chemical and high-energy systems. Part of Feynman's challenge was met by Lloyd, who showed how to approximately decompose the time evolution operator of interacting quantum particles into a short sequence of elementary gates, suitable for operation on a quantum computer. However, this left open the problem of how to simulate the equilibrium and static properties of quantum systems. This requires the preparation of ground and Gibbs states on a quantum computer. For classical systems, this problem is solved by the ubiquitous Metropolis algorithm, a method that has basically acquired a monopoly on the simulation of interacting particles. Here we demonstrate how to implement a quantum version of the Metropolis algorithm. This algorithm permits sampling directly from the eigenstates of the Hamiltonian, and thus evades the sign problem present in classical simulations. A small-scale implementation of this algorithm should be achievable with today's technology.

Measuring individual differences in reaction norms in field and experimental studies: a power analysis of random regression models

Abstract: Summary 1. Interest in measuring individual variation in reaction norms using mixed-effects and, more specifically, random regression models have grown apace in the last few years within evolution and ecology. However, these are data hungry methods, and little effort to date has been put into understanding how much and what kind of data we need to collect in order to apply these models usefully and reliably. 2. We conducted simulations to address three central questions. First, what is the best sampling strategy to collect sufficient data to test for individual variation using random regression models? Second, on occasions when precision is difficult to assess, can we be confident that a failure to detect significant variance in plasticity using random regression represents a biological reality rather than a lack of statistical power? Finally, does the common practice of censoring individuals with one or few repeated measures improve or reduce power to estimate individual variation in random regressions? 3. We have also developed a series of easy-to-use functions in the ‘pamm’ statistical package for R, which is freely available, that will allow researchers to conduct similar power analyses tailored more specifically to their own data. 4. Our results reveal potentially useful rules of thumb: large data sets (N > 200) are needed to evaluate the variance of individual-specific slopes; a number of individuals ⁄ number of observations per individual ratio of approximately 0AE5 consistently yielded the highest power to detect random effects; individuals with one or few observations should not generally be censored as this reduces power to detect variance in plasticity. 5. We discuss the wider implications of these simulations and remaining challenges and suggest a new way to standardize results that would better facilitate the comparison of findings across empirical studies.

Practical characterization of quantum devices without tomography.

Abstract: Quantum tomography is the main method used to assess the quality of quantum information processing devices. However, the amount of resources needed for quantum tomography is exponential in the device size. Part of the problem is that tomography generates much more information than is usually sought. Taking a more targeted approach, we develop schemes that enable (i) estimating the fidelity of an experiment to a theoretical ideal description, (ii) learning which description within a reduced subset best matches the experimental data. Both these approaches yield a significant reduction in resources compared to tomography. In particular, we demonstrate that fidelity can be estimated from a number of simple experiments that is independent of the system size, removing an important roadblock for the experimental study of larger quantum information processing units.

Quantum simulation of time-dependent Hamiltonians and the convenient illusion of Hilbert space.

Abstract: We consider the manifold of all quantum many-body states that can be generated by arbitrary time-dependent local Hamiltonians in a time that scales polynomially in the system size, and show that it occupies an exponentially small volume in Hilbert space This implies that the overwhelming majority of states in Hilbert space are not physical as they can only be produced after an exponentially long time We establish this fact by making use of a time-dependent generalization of the Suzuki-Trotter expansion, followed by a well-known counting argument This also demonstrates that a computational model based on arbitrarily rapidly changing Hamiltonians is no more powerful than the standard quantum circuit model

Two-qubit gate of combined single-spin rotation and interdot spin exchange in a double quantum dot.

Abstract: A crucial requirement for quantum-information processing is the realization of multiple-qubit quantum gates. Here, we demonstrate an electron spin-based all-electrical two-qubit gate consisting of single-spin rotations and interdot spin exchange in a double quantum dot. A partially entangled output state is obtained by the application of the two-qubit gate to an initial, uncorrelated state. We find that the degree of entanglement is controllable by the exchange operation time. The approach represents a key step towards the realization of universal multiple-qubit gates.