Relevant Fluctuations Research Articles

The Russian Language Personality in the Current Diachrony: a New Associative-Verbal Database (2014-2021)

The study presents a new Russian regional associative database (Siberia and the Far East) - SIBAS 2, obtained in a mass associative experiment (2014-2021) in the Asian regions of the Russian Federation. The author describes the main parameters of the scientifically significant information provided by the electronic resource SIBAS, the characteristics of the data in SIBAS 2 in comparison with the database SIBAS 1 reflecting the dimensions of the Russian language personality in the Asian regions of Russia, recorded in the period from 2008 to 2013. The associative dominants identified with the help of the SIBAS 1 resource are compared with the corresponding dimensions of the RLP, explicated by psycholinguists in the European part of the Russian Federation on the basis of the EURAS reverse dictionary (2008-2013); the dominants of SIBAS 1 and SIBAS 2 are compared with the all-Russian data of the reverse dictionaries of RAS (Russian Associative Thesaurus): the first (1988-1991) and second (1992-1995) stages of the all-Russian experiment. Against this background, the author presents new results of a general analysis of the semantic nodes of the SIBAS associative-verbal network, statistical ordering of the entire array of verbal associates in the current diachrony (2008-2021). Such statistical organization of the associativeverbal material can be viewed as a methodological technique, a preliminary step in the study of the psychologically relevant fluctuations of the system-forming semantic accentuations of the Russian language personality, their historical and cultural roots and meaningful transformations referring to a particular period of time (here mostly according to the data of SIBAS 1 and SIBAS 2).

Topological characterization of Lieb-Schultz-Mattis constraints and applications to symmetry-enriched quantum criticality

Lieb-Schultz-Mattis (LSM) theorems provide powerful constraints on the problem, i.e. whether a quantum phase or phase transition can emerge in a many-body system. We derive the topological partition functions that characterize the LSM constraints in spin systems with G_s\times G_{int}Gs×Gint symmetry, where G_sGs is an arbitrary space group in one or two spatial dimensions, and G_{int}Gint is any internal symmetry whose projective representations are classified by \mathbb{Z}_2^kℤ2k with kk an integer. We then apply these results to study the emergibility of a class of exotic quantum critical states, including the well-known deconfined quantum critical point (DQCP), U(1)U(1) Dirac spin liquid (DSL), and the recently proposed non-Lagrangian Stiefel liquid. These states can emerge as a consequence of the competition between a magnetic state and a non-magnetic state. We identify all possible realizations of these states on systems with SO(3)\times \mathbb{Z}_2^TSO(3)×ℤ2T internal symmetry and either p6mp6m or p4mp4m lattice symmetry. Many interesting examples are discovered, including a DQCP adjacent to a ferromagnet, stable DSLs on square and honeycomb lattices, and a class of quantum critical spin-quadrupolar liquids of which the most relevant spinful fluctuations carry spin-22. In particular, there is a realization of spin-quadrupolar DSL that is beyond the usual parton construction. We further use our formalism to analyze the stability of these states under symmetry-breaking perturbations, such as spin-orbit coupling. As a concrete example, we find that a DSL can be stable in a recently proposed candidate material, NaYbO_22.

Assessing accuracy, reliability, and efficiency of combustion models for prediction of flame dynamics with large eddy simulation

A variety of combustion models for large eddy simulation of premixed turbulent flames have been developed and validated over the years. Validation studies concentrate on relevant mean quantities and turbulent fluctuations; however, the prediction of flame dynamics is typically not taken into account. Furthermore, it is difficult to meaningfully compare the computational efficiency of model formulations due to different compute resources, meshes, code bases, and numerics. The present study compares turbulent combustion models on the same code base, keeping boundary conditions, meshes, and numerical settings constant. The reliability and versatility of two turbulent combustion models, i.e., the artificially thickened flame and flame surface density formulations, are assessed by applying them to a variety of operating conditions and burner configurations. In particular, for a premixed methane swirl burner, we consider three power ratings by changing the inflow velocity, which increases the demand on the sub-grid scale model due to increased sub-grid scale wrinkling. A change in swirler position modifies the interference of swirl and acoustic perturbations, with a significant impact on flame dynamics. Changes in thermal boundary condition and combustion chamber size provide insight into the consequences of quenching effects resulting from heat losses on flame anchoring and flame topology.

Distinct Modes of Hidden Structural Dynamics in the Functioning of an Allosteric Polysaccharide Lyase

Dynamics is an essential process to drive an enzyme to perform a function. When a protein sequence encodes for its three-dimensional structure and hence its function, it essentially defines the intrinsic dynamics of the molecule. The static X-ray crystal structure was thought to shed little insight into the molecule’s dynamics until the recently available tool “Ensemble refinement” (ER). Here, we report the structure–function–dynamics of PanPL, an alginate-specific, endolytic, allosteric polysaccharide lyase belonging to the PL-5 family from Pandoraea apista. The crystal structures determined in apo and tetra-ManA bound forms reveal that the PanPL maintains a closed state with an N-terminal loop lid (N-loop-lid) arched over the active site. The B-factor analyses and ER congruently reveal how pH influences the functionally relevant atomic fluctuations at the N-loop-lid. The ER unveils enhanced fluctuations at the N-loop-lid upon substrate binding. The normal-mode analysis finds that the functional states are confined. The 1 μs simulation study suggests the existence of a hidden open state. The longer N-loop-lid selects a mechanism to adopt a closed state and undergo fluctuations to facilitate the substrate binding. Here, our work demonstrates the distinct modes of dynamics; both intrinsic and substrate-induced conformational changes are vital for enzyme functioning and allostery.

Personalized intensive care medicine : Implementation of therapeutic drug monitoring to assess antibiotic levels in intensive care patients

The intensive care unit at Asklepios Klinik Langen started atherapeutic drug monitoring (TDM) project in cooperation with the Aukamm pharmacy in Wiesbaden to measure antibiotic concentrations in the serum of intensive care patients for providing plasma level guided anti-infective therapy. The serum levels of the β‑lactam antibiotics meropenem, piperacillin, ceftriaxone and ceftazidime as well as the glycylcycline antibiotic tigecycline measured between January1 and December31, 2020, were evaluated retrospectively. Quantification by high performance liquid chromatography was carried out by the Aukamm pharmacy. During the observation period 288serum level measurements were carried out in 131patients with normal as well as impaired kidney or liver function, an increased volume of distribution as well as in patients with extracorporeal organ replacement therapies. The results of the most frequently measured antibiotic piperacillin/tazobactam showed arange of 1.95-308.50 µg/ml (median 76.54 µg/ml). The median serum level for meropenem was 26.46 µg/ml (0.75-157.36 µg/ml), for ceftriaxone 33.53 µg/ml (8.38-236.26 µg/ml) and for ceftazidime 158.56 µg/ml (24.09-204.61 µg/ml). The median trough level for tigecycline was 0.42 µg/ml (0.25-3.7 µg/ml) and therefore lower compared to administration via continuous infusion (median 0.88 µg/ml, 0.26-3.81 µg/ml). Therapeutic drug monitoring was successfully implemented in the intensive care unit of the Asklepios Klinik Langen. The serum level measurements showed considerable clinically relevant fluctuations in the antibiotic concentrations. Even an only rough approximation of effective antibiotic serum levels is not possible without TDM.

Contact process on weighted planar stochastic lattice

We study the absorbing state phase transition in the contact process on the weighted planar stochastic (WPS) lattice. The WPS lattice is multifractal. Its dual network has a power-law degree distribution function and is also embedded in a bidimensional space. Moreover, it represents a novel way to introduce coordination disorder in lattice models. We investigated the critical behavior of the disordered system using extensive simulations. Our results show the critical behavior is distinct from that on a regular lattice, suggesting it belongs to a different universality class. We evaluate the exponent governing the bond fluctuations and our results agree with the Harris–Barghathi–Vojta criterium for relevant fluctuations.

Degenerate plaquette physics as key ingredient of high-temperature superconductivity in cuprates

We study the physics of high-temperature cuprate superconductors starting from the highly degenerate four-site plaquette of the t-t^{prime} -U Hubbard model as a reference system. The degeneracy causes strong fluctuations when a lattice of plaquettes is constructed. We show that there is a large binding energy between holes when a set of four plaquettes is considered. The next-nearest-neighbour hopping t^{prime} plays a crucial role in the formation of these strongly bound electronic bipolarons whose coherence at lower temperature could be the explanation for superconductivity. A complementary approach is cluster dual fermion starting from a single degenerate plaquette, which contains the relevant short-ranged fluctuations from the beginning. It gives d-wave superconductivity as the leading instability under a reasonably broad range of parameters. The origin of the pseudogap is also discussed in terms of the coupling of degenerate plaquettes. Thus, some of the essential elements of cuprate superconductivity appear from the local plaquette physics.

Course of pain and fluctuations in pain related to suspected early hip osteoarthritis: the CHECK study.

To evaluate the prevalence during a 10-year follow-up of clinically relevant fluctuations in pain and the course of hip pain in participants with hip complaints suspected to be early stage hip osteoarthritis (OA). To distinguish between participants with relevant fluctuations in pain and those without based on baseline characteristics. Data were collected at baseline and after 2, 5, 8, and 10 years on 495 participants from the Cohort Hip and Cohort Knee Study (CHECK) with hip pain at baseline. Baseline demographic, anamnestic, and physical-examination characteristics were assessed. The primary outcome was levels of pain in the past week (scored using 0-10 Numeric Rating Scale) at follow-up assessments. Relevant fluctuation was defined as average absolute residuals greater than 1 after fitting a straight line to the participant's pain scores over time. The majority of the participants (76%) had stable or decreasing pain. Relevant fluctuations were found in 37% of the participants. The following baseline variables were positively associated with the presence of relevant fluctuations: higher levels of pain in the past week, use of pain transformation as a coping style, higher number of comorbidities, use of pain medication, and higher levels of high-sensitivity C-reactive protein. No associations were found for baseline radiographic hip OA or clinical hip OA. During a 10-year follow-up, the majority of participants had stable or decreasing pain levels. In those participants with relevant fluctuation (37%), a limited number of baseline variables were associated with increased odds of having relevant fluctuations in pain.

Physiological Temperature Changes Fine-Tune β 2- Adrenergic Receptor-Induced Cytosolic cAMP Accumulation.

Norepinephrine (NE) controls many vital body functions by activating adrenergic receptors (ARs). Average core body temperature (CBT) in mice is 37°C. Of note, CBT fluctuates between 36 and 38°C within 24 hours, but little is known about the effects of CBT changes on the pharmacodynamics of NE. Here, we used Peltier element-controlled incubators and challenged murine hypothalamic mHypoA -2/10 cells with temperature changes of ±1°C. We observed enhanced NE-induced activation of a cAMP-dependent luciferase reporter at 36 compared with 38°C. mRNA analysis and subtype specific antagonists revealed that NE activates β 2- and β 3-AR in mHypoA-2/10 cells. Agonist binding to the β 2-AR was temperature insensitive, but measurements of cytosolic cAMP accumulation revealed an increase in efficacy of 45% ± 27% for NE and of 62% ± 33% for the β 2-AR-selective agonist salmeterol at 36°C. When monitoring NE-promoted cAMP efflux, we observed an increase in the absolute efflux at 36°C. However, the ratio of exported to cytosolic accumulated cAMP is higher at 38°C. We also stimulated cells with NE at 37°C and measured cAMP degradation at 36 and 38°C afterward. We observed increased cAMP degradation at 38°C, indicating enhanced phosphodiesterase activity at higher temperatures. In line with these data, NE-induced activation of the thyreoliberin promoter was found to be enhanced at 36°C. Overall, we show that physiologic temperature changes fine-tune NE-induced cAMP signaling in hypothalamic cells via β 2-AR by modulating cAMP degradation and the ratio of intra- and extracellular cAMP. SIGNIFICANCE STATEMENT: Increasing cytosolic cAMP levels by activation of G protein-coupled receptors (GPCR) such as the β 2-adrenergic receptor (AR) is essential for many body functions. Changes in core body temperature are fundamental and universal factors of mammalian life. This study provides the first data linking physiologically relevant temperature fluctuations to β 2-AR-induced cAMP signaling, highlighting a so far unappreciated role of body temperature as a modulator of the prototypic class A GPCR.

Impact of 3‐Cyanopropionic Acid Methyl Ester on the Electrochemical Performance of ZnMn2O4 as Negative Electrode for Li‐Ion Batteries

Due to their high theoretical capacity, transition metal oxide compounds are promising electrode materials for lithium‐ion batteries. However, one drawback is associated with relevant capacity fluctuations during cycling, widely observed in the literature. Such strong capacity variation can result in practical problems when positive and negative electrode materials have to be matched in a full cell. Herein, the study of ZnMn2O4 (ZMO) in a nonconventional electrolyte based on 3‐cyanopropionic acid methyl ester (CPAME) solvent and LiPF6 salt is reported for the first time. Although ZMO in LiPF6/CPAME electrolyte displays a dramatic capacity decay during the first cycles, it shows promising cycling ability and a suppressed capacity fluctuation when vinylene carbonate (VC) is used as an additive to the CPAME‐based electrolyte. To understand the nature of the solid electrolyte interphase (SEI), the electrochemical study is correlated to ex situ X‐ray photoelectron spectroscopy (XPS).

The impact of inhomogeneous subgrid clumping on cosmic reionization – II. Modelling stochasticity

ABSTRACT Small-scale density fluctuations can significantly affect reionization, but are typically modelled quite crudely. Unresolved fluctuations in numerical simulations and analytical calculations are included using a gas clumping factor, typically assumed to be independent of the local environment. In Paper I, we presented an improved, local density-dependent model for the sub-grid gas clumping. Here, we extend this using an empirical stochastic model based on the results from high-resolution numerical simulations which fully resolve all relevant fluctuations. Our model reproduces well both the mean density-clumping relation and its scatter. We applied our stochastic model, along with the mean clumping one and the Paper I deterministic model, to create large-volume realizations of the clumping field, and used these in radiative transfer simulations of cosmic reionization. Our results show that the simplistic mean clumping model delays reionization compared to local density-dependent models, despite producing fewer recombinations overall. This is due to the very different spatial distribution of clumping, resulting in much higher photoionization rates in the latter cases. The mean clumping model produces smaller H ii regions throughout most of reionization, but those percolate faster at late times. It also causes a significant delay in the 21-cm fluctuations peak and yields lower non-Gaussianity and many fewer bright pixels in the PDF distribution. The stochastic density-dependent model shows relatively minor differences from the deterministic one, mostly concentrated around overlap, where it significantly suppresses the 21-cm fluctuations, and at the bright tail of the 21-cm PDFs, where it produces noticeably more bright pixels.

A Continuum Model for Simulation of Large Biological Lipid Membranes

Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) - Pilot 2 Team. Presented by: Timothy S. Carpenter. Membrane proteins have important cellular roles and comprise the vast majority of drug targets. Membrane proteins interact strongly with the lipids, and protein function can be affected by local lipid compositions. To properly explore this relationship requires a bilayer that is not only of sufficient size to contain relevant compositional fluctuations, but is also run for enough time for proteins to react to both local lipid compositions and other nearby proteins. The appropriate length- and time-scales are at least microns and milliseconds. Concurrently, the mechanisms of interaction between lipids and proteins are defined by molecular structure at the sub-nanometer scale, and are typically explored by molecular dynamics simulations limited to just microseconds of time evolution.Within the JDACS4C Pilot 2 effort, we have developed the multiscale framework MuMMI for accessing ensemble averages and very long time behavior of these lipid-protein systems at atomistic levels of detail.We present the GridSim2D component of that framework: a continuum level simulation capability that can address the very long time and large-scale behavior of lipid bilayers and associated proteins. The formulation follows a dynamic density function theory approach and can be parametrized entirely from molecular dynamics simulations, making it as consistent as possible to underlying molecular forcefields. Using this approach, we can simulate a bilayer microns in diameter for hundreds of milliseconds. The implementation uses special numerical algorithms to limit communication bandwidth and allow efficient time-integration of equations of motion. It is parallelized using OpenMP and MPI and is scalable to tens of thousands of cores.This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-ABS-815246.

Fluctuating temperatures extend median lifespan, improve reproduction and reduce growth in turquoise killifish.

In natural populations, individuals experience daily fluctuations in environmental conditions that synchronise endogenous biorhythms. Artificial alterations of environmental fluctuations can have negative consequences for life history traits, including lifespan. In laboratory studies of aging, the role of fluctuating temperature is usually overlooked and we know little of how thermal fluctuation modulates senescence in vertebrates. In this longitudinal study we followed individually-housed turquoise killifish, Nothobranchius furzeri, from two thermal regimes; ecologically relevant diel fluctuations (20 °C - 35 °C) and stable temperature (27.5 °C), and compared their survival, growth and reproduction. Fish experiencing fluctuating temperatures had a longer median lifespan but reached smaller asymptotic body size. Within-treatment variation indicated that extended lifespan in fluctuating temperatures was not causally linked to decreased growth rate or smaller body size, but occurred solely due to the effect of thermal fluctuations. Male body size was positively associated with lifespan in stable temperatures but this relationship was disrupted in fluctuating thermal regimes. Females exposed to fluctuating temperatures effectively compensated egg production for their smaller size. Thus, there was no difference in absolute fecundity between thermal regimes and body-size corrected fecundity was higher in females in fluctuating temperatures. Overall, despite a brief exposure to sub-optimal thermal conditions during fluctuations, fluctuating temperature had a positive effect on survival and reproduction. These results suggest that the expression of life history traits and their associations under stable temperatures are a poor representation of the relationships obtained from ecologically relevant thermal fluctuations.

Divergent Nematic Susceptibility near the Pseudogap Critical Point in a Cuprate Superconductor

Superconductivity is a quantum phenomenon caused by bound pairs of electrons. In diverse families of strongly correlated electron systems, the electron pairs are not bound together by phonon exchange but instead by some other kind of bosonic fluctuations. In these systems, superconductivity is often found near a magnetic quantum critical point (QCP) where a magnetic phase vanishes in the zero-temperature limit. Moreover, the maximum of superconducting transition temperature Tc frequently locates near the magnetic QCP, suggesting that the proliferation of critical spin fluctuations emanating from the QCP plays an important role in Cooper pairing. In cuprate superconductors, however, the superconducting dome is usually separated from the antiferromagnetic phase and Tc attains its maximum value near the verge of enigmatic pseudogap state that appears below doping-dependent temperature T*. Thus a clue to the pairing mechanism resides in the pseudogap and associated anomalous transport properties. Recent experiments suggested a phase transition at T*, yet, most importantly, relevant fluctuations associated with the pseudogap have not been identified. Here we report on direct observations of enhanced nematic fluctuations in (Bi,Pb)2Sr2CaCu2O8+d by elastoresistance measurements, which couple to twofold in-plane electronic anisotropy, i.e. electronic nematicity. The nematic susceptibility shows Curie-Weiss-like temperature dependence above T*, and an anomaly at T* evidences a second-order transition with broken rotational symmetry. Near the pseudogap end point, where Tc is not far from its peak in the superconducting dome, nematic susceptibility becomes singular and divergent, indicating the presence of a nematic QCP. This signifies quantum critical fluctuations of a nematic order, which has emerging links to the high-Tc superconductivity and strange metallic behaviours in cuprates.

Effect of anomalous elasticity on bubbles in van der Waals heterostructures.

It is shown that the anomalous elasticity of membranes affects the profile and thermodynamics of a bubble in van der Waals heterostructures. Our theory generalizes the nonlinear plate theory as well as the membrane theory of the pressurised blister test to incorporate the power-law scale dependence of the bending rigidity and Young's modulus of a two-dimensional crystalline membrane. This scale dependence, caused by long-range interaction of relevant thermal fluctuations (flexural phonons), is responsible for the nonlinear Hooke law observed recently in graphene. It is shown that this anomalous elasticity affects the dependence of the maximal height of the bubble as a function of its radius and temperature. We determine the characteristic temperature above which the anomalous elasticity is important. It is suggested that, for graphene-based van der Waals heterostructures, the predicted anomalous regime is experimentally accessible at room temperature.

Ecologically relevant thermal fluctuations enhance offspring fitness: biological and methodological implications for studies of thermal developmental plasticity.

Natural thermal environments are notably complex and challenging to mimic in controlled studies. Consequently, our understanding of the ecological relevance and underlying mechanisms of organismal responses to thermal environments is often limited. For example, studies of thermal developmental plasticity have provided key insights into the ecological consequences of temperature variation, but most laboratory studies use treatments that do not reflect natural thermal regimes. While controlling other important factors, we compared the effects of naturally fluctuating temperatures with those of commonly used laboratory regimes on development of lizard embryos and offspring phenotypes and survival. We incubated eggs in four treatments: three that followed procedures commonly used in the literature, and one that precisely mimicked naturally fluctuating nest temperatures. To explore context-dependent effects, we replicated these treatments across two seasonal regimes: relatively cool temperatures from nests constructed early in the season and warm temperatures from late-season nests. We show that natural thermal fluctuations have a relatively small effect on developmental variables but enhance hatchling performance and survival at cooler temperatures. Thus, natural thermal fluctuations are important for successful development and simpler approximations (e.g. repeated sine waves, constant temperatures) may poorly reflect natural systems under some conditions. Thus, the benefits of precisely replicating real-world temperatures in controlled studies may outweigh logistical costs. Although patterns might vary according to study system and research goals, our methodological approach demonstrates the importance of incorporating natural variation into controlled studies and provides biologists interested in thermal ecology with a framework for validating the effectiveness of commonly used methods.

Testing A Methodology to Assess Fluctuations of Coastal Rocks Surface Temperature

The aim of this work is testing a cheap and user-friendly methodology suitable for studying temperature fluctuations of coastal rocks’ surfaces. An infrared thermometer was used, that permits a contactless measurement of the average surface temperature of a patch around a measuring point. Temperature was measured in an array of selected plots every 45 min from dawn to sunset in a 20 m2 study area along the rocky coast of Calafuria (NW Italy). During the experiment daily temperature in all plots was minimum at dawn and quickly reached its peak value shortly after sun culmination; subsequently, it underwent a small-gradient decrease until sunset. In connection with temporary sun-shading and wind gusts relevant short-term rock surface temperature fluctuations were recorded. Considering mean daily temperature in each plot, it proved to be positively correlated with distance from the shoreline. As regards daily temperature range, its amplitude progressively increased moving farther from the shoreline. The measuring points located where the rock is extensively covered by barnacles experience a temperature magnification effect, possibly due to a micro-greenhouse effect triggered by the production of carbon dioxide by this biota. The entity of measured daily temperature fluctuations is ca. one order of magnitude greater than air temperature fluctuations measured at the same elevation in the closest meteorological station. The results of this work highlight that the infrared thermometer is an effective tool to measure rock surface temperature along rocky coasts, capable of detecting temperature fluctuations more effectively than traditionally employed data loggers. Moreover, this work emphasizes the relevance of temporary sun-shading and wind gusts in triggering short-term rock surface temperature fluctuations, potentially capable of enhancing thermal fatigue and foster surface rock breakdown.

BLAST paradigm: A new test to assess brief attentional fluctuations in children with epilepsy, ADHD, and normally developing children

BackgroundPure attentional deficits are still underdiagnosed in children with epilepsy. While attention-deficit hyperactivity disorder (ADHD) is historically the most studied cause of attentional disorders, an important number of children with epilepsy and attentional complaints do not fully meet the DSM-V (Diagnostic and Statistical Manual of Mental Disorders - Fifth Edition) criteria for ADHD and may be excluded from specific care. Clinical tools currently available are insufficient to detect more subtle but clinically relevant attentional fluctuations. Objective/methodsThe recently developed Bron–Lyon Attention Stability Test (BLAST) was used to evaluate brief attentional fluctuations with a high temporal precision. Drawing on two new attentional indices, we evaluated spontaneous fluctuations of response accuracy and timing, underlying attentional stability. The main objective was to assess attentional stability in children with i) epilepsy with comorbid ADHD, ii) epilepsy without comorbid ADHD, iii) ADHD not medicated and without epilepsy, and iv) normal development. Further objectives were to assess the main determinants of attentional stability in those groups, including the effect of factors related to the epileptic condition. ResultsIn 122 children with epilepsy (67 with comorbid ADHD), 52 children with ADHD, and 53 healthy controls, we demonstrated lower attentional stability in both the groups with epilepsy and ADHD compared with healthy children. In children with epilepsy, BLAST scores were negatively associated with earlier seizure onset and AED (antiepileptic drug) polytherapy, while the seizure frequency, epilepsy duration, or type did not influence BLAST scores. ConclusionsThis study demonstrates that attentional stability is impaired in children with epilepsy and/or ADHD. Bron–Lyon Attention Stability Test seems to be a sensitive test to detect attentional stability deficit in children with epilepsy and with attentional complaints who did not meet all criteria of ADHD.We propose that BLAST could be a useful clinical neuropsychological tool to assess attentional disorders in children.

Could future electric vehicle energy storage be used for hydropeaking mitigation? An eight-country viability analysis

Hydropower short-term response capability and operating flexibility are critical in some electricity systems, especially during peak demand periods. However, operational variability at hydro plants may originate relevant water flow fluctuations (i.e., hydropeaking) that cause severe alterations in stream ecosystem functionality. Such harmful consequences could be reduced if other energy storage were available.The increasing use of electric vehicles (EVs) has presented the application of their batteries for energy grid scale accumulation purposes. EV interaction with the grid and other renewable energy (RE) sources (primarily wind and solar) has been broadly studied. It seems, however, that EV energy storage allocation to mitigate hydropeaking impacts at regional or national scale remains unexplored. This article evaluates the possibility of using EV batteries to provide the system with additional storage capacity to support a more balanced hydropower operation.The analysis is performed for eight countries with diverse socioeconomic and technological environments. Initially, the coherency in the orders of magnitude between hydropower generation and energy storage capacity is evaluated by calculating the accumulation potential of the current passenger car parc in a hypothetical scenario in which the complete fleet is electrified and suited for vehicle-to-grid (V2G) interaction. After validating the feasibility of the proposal, a long-term analysis is performed using diverse energy, EV rates, and battery capacity forecasts gathered from reliable sources. The results indicate that a 50% PEV fleet using 300 Wh/kg batteries may provide stable storage capacity for average daily hydropower 2050 projections in China, Germany, Japan, Spain and the United States.

Bond risk premia and the return forecasting factor

Abstract The return forecasting factor is a linear combination of forward rates that seems to predict 1-year excess bond returns of bond of all maturities better than traditional measures obtained from the yield curve. If this single factor actually captures all the relevant fluctuations in bond risk premia, then it should also summarize all the economically relevant variations in excess returns considering different holding periods. We find that it does not. We conclude that including the return forecasting factor as the main driver of risk premia in a term structure model, as has been suggested, is not supported by the data.