Set Of Scales Research Articles

Operation and performance of the ATLAS tile calorimeter in LHC Run 2

The ATLAS tile calorimeter (TileCal) is the hadronic sampling calorimeter covering the central region of the ATLAS detector at the Large Hadron Collider (LHC). This paper gives an overview of the calorimeter’s operation and performance during the years 2015–2018 (Run 2). In this period, ATLAS collected proton–proton collision data at a centre-of-mass energy of 13 TeV and the TileCal was 99.65% efficient for data-taking. The signal reconstruction, the calibration procedures, and the detector operational status are presented. The performance of two ATLAS trigger systems making use of TileCal information, the minimum-bias trigger scintillators and the tile muon trigger, is discussed. Studies of radiation effects allow the degradation of the output signals at the end of the LHC and HL-LHC operations to be estimated. Finally, the TileCal response to isolated muons, hadrons and jets from proton–proton collisions is presented. The energy and time calibration methods performed excellently, resulting in good stability and uniformity of the calorimeter response during Run 2. The setting of the energy scale was performed with an uncertainty of 2%. The results demonstrate that the performance is in accordance with specifications defined in the Technical Design Report.

AN AYURVEDIC APPROACH TO FIBROMYALGIA THROUGH VATIKA JWARA

Fibromyalgia is a commonly experienced disorder characterised by chronic widespread pain, stiffness, paresthesia, disturbed sleep and easy fatiguability, along with pain over multiple tender points which are widely and symmetrically distributed. It can occur at any age, but the prevalence increases in women above 70. The diagnosis of fibromyalgia is done using The American College of Rheumatology criteria for Fibromyalgia, which contains two sets of scales -The widespread pain scale and the symptom severity scale. The two factors that have been constantly reported are disturbed non-restorative sleep and pain sensitisation. The ACR criteria define 18 tender points. These points are remarkably constant in location. The pain is often felt in muscles, but the muscles show no histological or metabolic abnormalities. In ICD -11 classification, Fibromyalgia is currently coded as an Inclusion term under MG30.01 Chronic widespread pain. The definition of Fibromyalgia has been repeatedly revised since it was first recognised as a rheumatic disease by WHO in 1992. In Ayurveda, it can be co-related with Vatika Jwara, which, i.e. resulted from the accumulation of Ama.

Hamiltonian learning in quantum field theories

Quantum field theories (QFTs) as relevant for condensed-matter or high-energy physics are formulated in continuous space and time, and typically emerge as effective low-energy descriptions. In atomic physics, an example is given by tunnel-coupled superfluids, which realize the paradigmatic sine-Gordon model, and can act as quantum simulators of continuous QFTs. To quantitatively characterize QFT simulators, or to discover the Hamiltonian governing the dynamics of a continuous many-body quantum system, we discuss Hamiltonian learning as a method to systematically extract the operator content and the coupling constants of Hamiltonians from experimental data. In contrast to Hamiltonian learning for lattice models with a given lattice scale, we learn QFT Hamiltonians on a resolution scale set by the experiment. Varying the resolution scale gives access to QFTs at different energy scales, and allows to learn a flow of Hamiltonians reminiscent of the renormalization group. Applying these techniques to available experimental data from a tunnel-coupled quantum gas experiment allows a definite distinction between a free quadratic theory from an interacting sine-Gordon model, as the underlying QFT description of the system. Published by the American Physical Society 2024

Weakly nonlinear analysis of minimal models for Turing patterns

The simplest particle-based mass-action models for Turing instability – i.e. those with only two component species undergoing instantaneous interactions of at most two particles, with the smallest number of distinct interactions – fall into a surprisingly small number of classes of reaction schemes. In previous work we have computed this classification, with different schemes distinguished by the structure of the interactions. Within a given class the reaction stoichiometry and rates remain as parameters that determine the linear and nonlinear evolution of the system.Adopting the usual weakly nonlinear scalings and analysis reveals that, under suitable choices of reaction stoichiometry, and in nine of the 11 classes of minimal scheme exhibiting a spatially in-phase (“true activator-inhibitor”) Turing instability, stable patterns are indeed generated in open regions of parameter space via a generically supercritical bifurcation from the spatially uniform state. In three of these classes the instability is always supercritical while in six there is an open region in which it is subcritical. Intriguingly, however, in the remaining two classes of minimal scheme we require different weakly nonlinear scalings, since the coefficient in the usual cubic normal form unexpectedly vanishes identically. In these cases, a different set of asymptotic scalings is required.We present a complete analysis through deriving the normal form for these two cases also, which involves quintic terms. This fifth-order normal form also captures the behaviour along the boundaries between the supercritical and subcritical cases of the cubic normal form. The details of these calculations reveal the distinct roles played by reaction rate parameters as compared to stoichiometric parameters.We quantitatively validate our analysis via numerical simulations and confirm the two different scalings for the amplitude of predicted stable patterned states.

Correcting images for individual differences in color appearance

AbstractIndividual differences are a prominent feature of normal color vision and range from variations in sensitivity to perception and color naming. Corrections for differences in spectral sensitivity are common, and there is growing interest in calibrating displays for the sensitivity of an individual observer. In contrast, few studies have explored calibrations for aspects of color appearance. We developed a technique for adjusting images based directly on an individual's hue percepts and illustrate the principle of the approach using a set of hue scaling functions measured previously for a large sample of color‐normal observers (Emery et al. PNAS 2023). Colors in an image are mapped onto the average scaling function to define the hue perceived by the average “standard observer.” This hue is then mapped back to the chromaticity that would elicit the same response in any individual observer. With this correction, different observers – each looking at physically different images calibrated for their own hue percepts – should in principle agree on the perceived colors. Adjustments of this kind could be easily implemented on standard displays, because they require only measures of hue percepts and not spectral sensitivity, and could lead to greater consistency in the perception and communication about color across individuals with potentially widely different perceptual experiences of color.

Scale setting and hadronic properties in the light quark sector with ( 2+1 )-flavor Wilson fermions at the physical point

We report scale setting and hadronic properties for our new lattice QCD gauge configuration set (HAL-conf-2023). We employ (2+1)-flavor nonperturbatively improved Wilson fermions with stout smearing and the Iwasaki gauge action on a 964 lattice, and generate configurations of 8000 trajectories at the physical point. We show the basic properties of the configurations such as the plaquette value, topological charge distribution and their autocorrelation times. The scale setting is performed by detailed analyses of the Ω baryon mass. We calculate the physical results of quark masses, decay constants of pseudoscalar mesons and single hadron spectra in light quark sector. The masses of the stable hadrons are found to agree with the experimental values within a subpercent level. Published by the American Physical Society 2024

How can sustainable entrepreneurial enterprises escape the "green prison" in the context of environmental dynamism? — An Ecological Niche Enhancement Perspective

The "green prison" refers to the prisoner's dilemma that entrepreneurs face in regard to sustainability, and entrepreneurs tend to escape from the green prison through a series of proactive legitimizing behaviors such as "changing or establishing institutions that create incentives to play the competitive game—norms, property rights, and legislation". However, how sustainable entrepreneurial enterprises (SEEs) escape from the "green prison" under environmental dynamism and the dynamic changes in the legitimacy acquisition process has not yet received adequate attention. This paper introduces ecological niche theory into legitimacy research, interprets the growth of SEE as the process of individual ecological niches realizing ecostate‒ecorole enhancement within population ecological niches, constructs a set of legitimacy scales and an ecostate‒ecorole index system for SEE, and empirically analyzes a sample of 307 SEEs in China. The results show that (1) cognitive legitimacy, normative legitimacy, and regulatory legitimacy play the ecostate‒ecorole enhancement roles for SEEs at low, medium, and high ecological niche levels, respectively; (2) the dynamic change patterns of legitimacy are consistent across the economic, social, and environmental dimensions of the ecological niche of a SEE; (3)environmental dynamism positively moderates the relationship between cognitive legitimacy and the ecological niche situation at a low ecological niche level, as well as between normative legitimacy and the enhancement of the ecological niche situation at a medium ecological niche level, however, it does not moderate the relationship between regulatory legitimacy and the enhancement of the ecological niche situation at a high ecological niche level. This study identifies the paths through which legitimacy changes dynamically along different dimensions and levels of the ecological niche of a SEE, which provides new guidelines on how SEEs can acquire legitimacy under environmental dynamism and expands and enriches the research field of ecological niche theory.

The MapMe Body Scales: Validity and Reliability of a Biometrically Accurate, Photorealistic Set of Child Body Size Scales.

It is vital to identify children whose weight status means that they may benefit from medical or behavioural support, but adult visual judgements of child weight status are inaccurate, and children are seldom routinely weighed and measured. Consequently, there is a need for validated visual tools for use in training, communication, and interventions relating to child weight. This paper presents validation data for a set of innovative photo-realistic colour body size scales depicting boys and girls aged 4-5 and 10-11. Each age- and gender-specific scale consists of 7 figures based on three-dimensional (3D) scans of 388 children to accurately represent the change in body size caused by changing adiposity. To assess scale validity, 238 adult participants (105 men, 132 women, 1 non-binary individual) undertook two tasks: rating figure adiposity using a visual analogue scale and ranking figures in ascending order of adiposity (OSF Reference: gdp9j). Participants accurately estimated the relative adiposity of each figure, i.e., they were able to tell the difference between figures and correctly rank them by size. This demonstrates scale validity for use in body size tasks. One hundred and fifty-one participants also provided 3-day test-retest data, which demonstrates excellent short-term reliability. Overall, the MapMe child body size scales provide an anthropometrically accurate, valid, reliable, and usable tool for size-related tasks and communication with adults regarding child weight.

Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust

Trust is not just a cognitive issue but also an emotional one, yet the research in human-AI interactions has primarily focused on the cognitive route of trust development. Recent work has highlighted the importance of studying affective trust towards AI, especially in the context of emerging human-like LLM-powered conversational agents. However, there is a lack of validated and generalizable measures for the two-dimensional construct of trust in AI agents. To address this gap, we developed and validated a set of 27-item semantic differential scales for affective and cognitive trust through a scenario-based survey study. We then further validated and applied the scale through an experiment study. Our empirical findings showed how the emotional and cognitive aspects of trust interact with each other and collectively shape a person's overall trust in AI agents. Our study methodology and findings also provide insights into the capability of the state-of-art LLMs to foster trust through different routes.

Gradual behaviour change towards meat reduction revisited: Applying the decisional balance scale in a Dutch study

Meat moderation is needed to mitigate climate change and to address issues related to animal welfare and public health. Yet little is known on the process that consumers go through towards meat-reduced diets. Strässner and Hartmann (2023) recently developed the decisional balance scale (DB scale) for meat reduction, in order to get a better understanding of the trade-offs that consumers encounter in this dietary shift. The current study sets out to replicate their German study in the Dutch context. A survey has been conducted among a representative sample of Dutch adults (N = 1982). Overall, the present study corroborated Strässner and Hartmann's findings. Similar to the German situation, Legitimation is the most important barrier, and the Downsides of factory farming is the most important motivator for meat reduction in the Netherlands. The present study extends the German study by comparing the DB scale with other established scales in research on meat reduction. Although several motivational elements related to the legitimacy of eating meat, health impact and production of meat appear in different instruments, the DB scale sets itself apart in adding practical elements (feasibility). Finally, the insights in the decision balance of population subgroups at different stages of behaviour change (no intention, intention, performing) showed that the further in the meat reduction process, the more the pros outweigh the cons. With this, the current study provides valuable insights in bolstering consumers in meat moderation. Our findings support the idea of a gradual shift and reveal that there is potential for acceleration in behaviour change towards meat reduction to be found in adjusting the self-evidence of high-intensity livestock farming systems and the meat-centric food consumption culture.

Analysis of the Variation in Salaries of Employees of Government Ministries in Iraq by Using of The Lorenz Curve and The Gini Coefficient*H.

The disparity in the distribution of income is one of the main reasons for the failure to achieve social justice among members of society, which creates an unhealthy environment for workers in government sectors and institutions and also works to reduce the quality of work and lower the level of productivity. Conversely, reducing disparity leads to increased productivity and creates a suitable environment. It contributes to increasing productivity rates and improving the quality of institutional performance. The research discussed an important topic related to the extent of the discrepancy between the salaries of employees in Iraqi government institutions using the Lorenz curve and the Gini coefficient through a presentation of the research problem, which is the extent of the discrepancy in the salaries of state employees according to the approved salary scale, and what impact this has on social justice in the distribution of income, assuming that the adoption of A salary scale set by the authorities is based on reducing financial disparities between state employees with equal qualifications, such as educational attainment and work tasks, and reduces disparities of discrimination between workers in various government sectors and achieves social justice in income distribution. The research concluded that the actual distribution curve was very close to the symmetry line curve, in addition to the presence of a very small gap between the two lines, which indicates fairness in the distribution of monthly salaries among workers in government ministries who are in the fourth degree/first stage of the approved salary scale. The value of the Gini coefficient complementary to the work of the Lorenz curve was about (0.4), which means that the value of the Gini coefficient is close to zero. This indicates that the distribution of salaries of employees of government ministries is close to equitable distribution.

Solving the Robust Shortest Path Problem with Multimodal Transportation

This paper explores the challenges of finding robust shortest paths in multimodal transportation networks. With the increasing complexity and uncertainties in modern transportation systems, developing efficient and reliable routing strategies that can adapt to various disruptions and modal changes is essential. By incorporating practical constraints in parameter uncertainty, this paper establishes a robust shortest path mixed-integer programming model based on a multimodal transportation network under transportation time uncertainty. To solve robust shortest path problems with multimodal transportation, we propose a modified Dijkstra algorithm that integrates parameter uncertainty with multimodal transportation. The effectiveness of the proposed multimodal transportation shortest path algorithm is verified using empirical experiments on test sets of different scales and a comparison of the runtime using a commercial solver. The experimental results on the multimodal transportation networks demonstrate the effectiveness of our approach in providing robust and efficient routing solutions. The results demonstrate that the proposed method can generate optimal solutions to the robust shortest path problem in multimodal transportation under time uncertainty and has practical significance.

Методические аспекты использования анализа аллостатической нагрузки в оценке здоровья работающего населения в условиях воздействия производственных факторов (аналитический обзор)

Preventive medicine of pathogenetically based technologies for prenosological diagnostics of health risks at the stage of reversible physiological dysregulation is being introduced into practice as a relevant strategy for preserving population. It provides suitable conditions for timely prevention of chronic diseases and reducing risks of premature mortality among working age population. Using resources of the scientific information systems CyberLeninka, eLibrary, PubMed and Google scholar, the authors analyzed and summarized scientific literature data on methodological aspects and problems related to practical appli-cation of the concept of allostasis and allostatic load (AL) in assessing and predicting health risks for working population. The review focuses on the main causes of physiological dysregulation leading to AL formation under environmental exposures, including occupational ones; presents the most popular biomarkers of the functional state of the neuroendocrine, immune-inflammatory, cardiovascular and metabolic systems included in the sets of variables for determining the AL index. The review also provides the description of the most common algorithms for calculating the AL index used in preventive examinations of workers and highlights methodological approaches to the correction of AL values with regular intake of medicines. The sex-specific age dynamics of AL is presented; attention is drawn to the aggravating effect produced on AL by negative behavioral factors. The review shows that it is still difficult to introduce this methodology into routine practices of preventive medical examinations of working population despite the proven diagnostic and prognostic significance of the prenosological diagnosis of health disorders based on AL. This is mostly due to lack of consensus on standardized approaches to creating sets of biomarker scales and a method for calculating the AL index, as well as considering the sex factor and contribution of therapeutic effects to cumulative assessment of risks of developing physiological dysfunctions.

Methodological aspects of using allostatic load analysis in assessing health of working population exposed to adverse occupational factors (Analytical review)

Preventive medicine of pathogenetically based technologies for prenosological diagnostics of health risks at the stage of reversible physiological dysregulation is being introduced into practice as a relevant strategy for preserving population. It provides suitable conditions for timely prevention of chronic diseases and reducing risks of premature mortality among working age population. Using resources of the scientific information systems CyberLeninka, eLibrary, PubMed and Google scholar, the authors analyzed and summarized scientific literature data on methodological aspects and problems related to practical appli-cation of the concept of allostasis and allostatic load (AL) in assessing and predicting health risks for working population. The review focuses on the main causes of physiological dysregulation leading to AL formation under environmental exposures, including occupational ones; presents the most popular biomarkers of the functional state of the neuroendocrine, immune-inflammatory, cardiovascular and metabolic systems included in the sets of variables for determining the AL index. The review also provides the description of the most common algorithms for calculating the AL index used in preventive examinations of workers and highlights methodological approaches to the correction of AL values with regular intake of medicines. The sex-specific age dynamics of AL is presented; attention is drawn to the aggravating effect produced on AL by negative behavioral factors. The review shows that it is still difficult to introduce this methodology into routine practices of preventive medical examinations of working population despite the proven diagnostic and prognostic significance of the prenosological diagnosis of health disorders based on AL. This is mostly due to lack of consensus on standardized approaches to creating sets of biomarker scales and a method for calculating the AL index, as well as considering the sex factor and contribution of therapeutic effects to cumulative assessment of risks of developing physiological dysfunctions.

Ecosystem Interactions and Dynamics of the Some Natural Phenomena and Anthropogenic Environmental Processes in the Global Scale and Philippine Setting

Ecosystem Interactions and Dynamics of the Some Natural Phenomena and Anthropogenic Environmental Processes in the Global Scale and Philippine Setting

Glimmers from the axiverse

We study axion-photon couplings in compactifications of type IIB string theory. We find that these couplings are systematically suppressed compared to the inverse axion periodicity, as a result of two effects. First, couplings to the QED theta angle are suppressed for axion mass eigenstates that are light compared to the mass scale set by stringy instantons on the cycle supporting QED. Second, in compactifications with many axions the intersection matrix is sparse, making kinetic mixing weak. We study the resulting phenomenology in an ensemble of 200,000 toy models constructed from the Kreuzer-Skarke database up to the maximum Hodge number h1,1 = 491. We examine freeze-in production and decay of thermal axions, birefringence of the cosmic microwave background, X-ray spectrum oscillations, and constraints on the QCD axion from supernovae. We conclude that compactifications in this corner of the landscape involve many invisible axions, as well as a handful that may be detectable via photon couplings.

Voluntary overqualification: conceptualization, scale development and validation

PurposeWith the diversification of professional values, an increasing number of individuals voluntarily choose positions that demand less than their personal knowledge, skills and educational background, a phenomenon known as voluntary overqualification. This study aims to explore the reasons for discerning the motivations driving voluntary overqualification, define its conceptual content and develop the measurement scale for voluntary overqualification.Design/methodology/approachThrough five phases, and using both qualitative and quantitative approaches, the authors constructed a scale comprising three dimensions: earnings-oriented, life-oriented and meaning-oriented to measure voluntary overqualification. Following the steps of scale development, the conceptual connotation and structural dimensions of voluntary overqualification were systematically coded and mined based on grounded theory. The scale’s reliability and validity were measured through exploratory and validation factor analyses. Finally, the validity of the voluntary overqualification scale was verified through the selection of professional identity and subjective well-being.FindingsThis study defined connotations and structural dimensions of voluntary overqualification based on grounded theory, resulting in a measurement scale with three dimensions and 13 items. These dimensions include earnings-, life- and meaning-oriented voluntary overqualification. Empirical testing of predictive validity used professional identity and subjective well-being as outcome variables.Originality/valueThis study provides a theoretical foundation and an effective measurement tool for subsequent research in voluntary overqualification by focusing on a new type of voluntary overqualification, defining its connotations and developing a complete set of scales.

Strong Spin-Motion Coupling in the Ultrafast Dynamics of Rydberg Atoms.

Rydberg atoms in optical lattices and tweezers is now a well-established platform for simulating quantum spin systems. However, the role of the atoms' spatial wave function has not been examined in detail experimentally. Here, we show a strong spin-motion coupling emerging from the large variation of the interaction potential over the wave function spread. We observe its clear signature on the ultrafast many-body nanosecond-dynamics of atoms excited to a Rydberg S state, using picosecond pulses, from an unity-filling atomic Mott-insulator. We also propose an approach to tune arbitrarily the strength of the spin-motion coupling relative to the motional energy scale set by trapping potentials. Our work provides a new direction for exploring the dynamics of strongly correlated quantum systems by adding the motional degree of freedom to the Rydberg simulation toolbox.

An optimal Bayesian strategy for comparing Wiener–Hunt deconvolution models in the absence of ground truth

Abstract This paper considers the quantitative comparison of several alternative models to perform deconvolution in situations where there is no ground truth data available. With applications to very large data sets in mind, we focus on linear deconvolution models based on a Wiener filter. Although comparatively simple, such models are widely prevalent in large scale setting such as high-resolution image restoration because they provide an excellent trade-off between accuracy and computational effort. However, in order to deliver accurate solutions, the models need to be properly calibrated in order to capture the covariance structure of the unknown quantity of interest and of the measurement error. This calibration often requires onerous controlled experiments and extensive expert supervision, as well as regular recalibration procedures. This paper adopts an unsupervised Bayesian statistical approach to model assessment that allows comparing alternative models by using only the observed data, without the need for ground truth data or controlled experiments. Accordingly, the models are quantitatively compared based on their posterior probabilities given the data, which are derived from the marginal likelihoods or evidences of the models. The computation of these evidences is highly non-trivial and this paper consider three different strategies to address this difficulty—a Chib approach, Laplace approximations, and a truncated harmonic expectation—all of which efficiently implemented by using a Gibbs sampling algorithm specialised for this class of models. In addition to enabling unsupervised model selection, the output of the Gibbs sampler can also be used to automatically estimate unknown model parameters such as the variance of the measurement error and the power of the unknown quantity of interest. The proposed strategies are demonstrated on a range of image deconvolution problems, where they are used to compare different modelling choices for the instrument’s point spread function and covariance matrices for the unknown image and for the measurement error.

The Multi-Objective Shortest Path Problem with Multimodal Transportation for Emergency Logistics

The optimization of emergency logistical transportation is crucial for the timely dispatch of aid and support to affected areas. By incorporating practical constraints into emergency logistics, this study establishes a multi-objective shortest path mixed-integer programming model based on a multimodal transportation network. To solve multi-objective shortest path problems with multimodal transportation, we design an ideal point method and propose a procedure for constructing the complete Pareto frontier based on the k-shortest path multi-objective algorithm. We use modified Dijkstra and Floyd multimodal transportation shortest path algorithms to build a k-shortest path multi-objective algorithm. The effectiveness of the proposed multimodal transportation shortest path algorithm is verified using empirical experiments carried out on test sets of different scales and a comparison of the runtime using a commercial solver. The results show that the modified Dijkstra algorithm has a runtime that is 100 times faster on average than the modified Floyd algorithm, which highlights its greater applicability in large-scale multimodal transportation networks, demonstrating that the proposed method both has practical significance and can generate satisfactory solutions to the multi-objective shortest path problem with multimodal transportation in the context of emergency logistics.