Search

This comparative study analyzes fifteen local digital newspapers from Chile, Peru and Colombia with the objective of investigating how audience feedback influences editorial decisions. A qualitative methodology was used based on semi-structured interviews carried out with editors of the most read Web portals in the five cities with the largest population in each country. The most notable results reveal notable similarities between the media of each nation, evidencing a strong influence of audience feedback on editorial decisions, changes in business models from digital transformation and the use of tools for measuring results, collection of insights and contact with users. This finding suggests the importance of understanding and responding to audience preferences and opinions for local digital media in the region, highlighting the need for editorial strategies that encourage audience participation and engagement. [ABSTRACT FROM AUTHOR]

Background: According to the World Health Organization (WHO), mental health is 'a state of wellbeing in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community'. Any population metric of mental health and wellbeing should therefore not only reflect the presence or absence of mental challenges but also a person's broad mental capacity and functioning across a range of cognitive, social, emotional and physical dimensions. However, while existing metrics of mental health typically emphasize ill health, existing metrics of wellbeing typically focus on happiness or life satisfaction, indirectly infer wellbeing from a selection of social and economic factors, or do not reflect a read out of the full spectrum of mental functioning that impacts people's everyday life and that spans the continuum from distress and the inability to function, through to the ability to function to one's full potential. Methods: We present the Mental Health Quotient, or MHQ, a population metric of mental wellbeing that comprehensively captures mental functioning, and examine how it relates to functional productivity. We describe the 47-item assessment and the life impact rating scale on which the MHQ metric is based, as well as the rationale behind each step of the nonlinear algorithm used to construct the MHQ metric. Results: We demonstrate a linear relationship between the MHQ metric and productive life function where movement on the scale from any point or in any direction relates to an equivalent shift in productive ability at the population level, a relationship that is not borne out using simple sum scores. We further show that this relationship is the same across all age groups. Finally, we demonstrate the potential for the types of insights arising from the MHQ metric, offering examples from the Global Mind Project, an initiative that aims to track and understand our evolving mental wellbeing, and since 2020 has collected responses from over 1 million individuals across 140 + countries. Conclusion: The MHQ is a metric of mental wellbeing that aligns with the WHO definition and is amenable to large scale population monitoring. [ABSTRACT FROM AUTHOR]

Prolonged drought exacerbated by climate change in the Mesilla Valley, one of the major agricultural areas of New Mexico, USA, is causing a shortage of surface water from the Rio Grande for irrigation. Farmers in the Valley are using groundwater for irrigation and complementing it with limited surface water from the river (Rio Grande). Managing irrigation water better is vital to sustaining agriculture in the Valley. Remote sensing (RS)-based crop evapotranspiration (ETa) models offer significant advantages over traditional methods. The ET maps generated by these RS models provide valuable information that can be used to manage irrigation water and crops in water-scarce areas. This study used METRIC and SSEBop RS models to map the ET of alfalfa on a private farm that is managed as commonly practiced in the Valley. The integrated ET values of the two models are compared to those of the ETa measured using the eddy covariance method. The comparison showed that 91.55% of the variability in SSEBop ETa estimates can be explained by the variability in the METRIC ETa estimates, and the variability in eddy covariance ETa can explain 93.07% of the variability in METRIC ETa and 86.01% in the SSEBop Eta estimates. Both METRIC and SSEBop reflected the ETa of alfalfa during full growth and harvesting periods. However, the absolute percent mean relative difference (MRD) of ET was higher for two out of three cuttings by SSEBop (>32%) compared to those for METRIC and eddy covariance. The spatiotemporal variabilities in crop ET estimates using METRIC and SSEBop showed a need to improve on-farm irrigation conveyance and on-the-field irrigation efficiency. Overall, RS models can provide spatiotemporal maps of ET that can be used for decision-making to manage irrigation water better and improve crop yield on a field, farm, and regional scale. [ABSTRACT FROM AUTHOR]

This paper aims to explore metrics for evaluating the effectiveness of functional decomposition methods regarding problem space exploration at the early design stage. Functional decomposition involves breaking down the main purpose of a complex problem or system into a set of more manageable sub-functions, leading to a clearer understanding of the problem space and its various aspects. While various metrics have been used to evaluate functional decomposition outcomes, little literature has focused on assessing its effectiveness in problem space exploration. To address the gap, this research introduces three metrics for problem space evaluation defined by functional models: quantity of unique functions (M1), breadth and depth of the hierarchical structure (M2), and relative semantic coverage ratio of the problem space (M3). An example study is conducted to illustrate the evaluation process, comparing functional analysis with and without explicit human-centric considerations using a power screwdriver as a case product. The analysis in the example study reveals that the breadth of the hierarchical structure (part of M2) is marginally larger in the condition with explicit human-centric considerations (Condition A) compared to the condition without such considerations (Condition B). However, no significant differences are observed in terms of other metrics. The qualitative analysis based on semantic comparisons suggests that Condition A facilitates participants in generating a diverse set of functions supporting user safety requirements more effectively than Condition B. Overall, the example study demonstrates the evaluation process for each metric and discusses their nuances and limitations. By proposing these metrics, this research contributes to benchmarking and evaluating the effectiveness of different methods in promoting functional analysis in engineering design. The metrics provide valuable insights into problem space exploration, offering designers a better understanding of the efficacy of their functional decomposition methods in early design stages. This, in turn, fosters more informed decision-making and contributes to the advancement of functional analysis methodologies in engineering design practices. [ABSTRACT FROM AUTHOR]

Objective: The objective of this expert consensus process was to define performance measures that can be used to document remission or long-term progress following lifestyle medicine (LM) treatment. Methods: Expert panel members with experience in intensive, therapeutic lifestyle change (ITLC) developed a list of performance measures for key disease states, using an established process for developing consensus statements adapted for the topic. Proposed performance measures were assessed for consensus using a modified Delphi process. Results: After a series of meetings and an iterative Delphi process of voting and revision, a final set of 32 performance measures achieved consensus. These were grouped in 10 domains of diseases, conditions, or risk factors, including (1) Cardiac function, (2) Cardiac risk factors, (3) Cardiac medications and procedures, (4) Patient-centered cardiac health, (5) Hypertension, (6) Type 2 diabetes and prediabetes, (7) Metabolic syndrome, (8) Inflammatory conditions, (9) Inflammatory condition patient-centered measures, and (10) Chronic kidney disease. Conclusion: These measures compose a set of performance standards that can be used to evaluate the effectiveness of LM treatment for these conditions. [ABSTRACT FROM AUTHOR]

Abstract Background According to the World Health Organization (WHO), mental health is ‘a state of wellbeing in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community’. Any population metric of mental health and wellbeing should therefore not only reflect the presence or absence of mental challenges but also a person’s broad mental capacity and functioning across a range of cognitive, social, emotional and physical dimensions. However, while existing metrics of mental health typically emphasize ill health, existing metrics of wellbeing typically focus on happiness or life satisfaction, indirectly infer wellbeing from a selection of social and economic factors, or do not reflect a read out of the full spectrum of mental functioning that impacts people’s everyday life and that spans the continuum from distress and the inability to function, through to the ability to function to one’s full potential. Methods We present the Mental Health Quotient, or MHQ, a population metric of mental wellbeing that comprehensively captures mental functioning, and examine how it relates to functional productivity. We describe the 47-item assessment and the life impact rating scale on which the MHQ metric is based, as well as the rationale behind each step of the nonlinear algorithm used to construct the MHQ metric. Results We demonstrate a linear relationship between the MHQ metric and productive life function where movement on the scale from any point or in any direction relates to an equivalent shift in productive ability at the population level, a relationship that is not borne out using simple sum scores. We further show that this relationship is the same across all age groups. Finally, we demonstrate the potential for the types of insights arising from the MHQ metric, offering examples from the Global Mind Project, an initiative that aims to track and understand our evolving mental wellbeing, and since 2020 has collected responses from over 1 million individuals across 140 + countries. Conclusion The MHQ is a metric of mental wellbeing that aligns with the WHO definition and is amenable to large scale population monitoring.

In this study, the results obtained from forest vegetation via the research project on plant sociology which was conducted in the Black Sea region of Türkiye is evaluated with the help of a fuzzy similarity measures approach. Via this project, the plant sociology in an area which has not been studied in the Black Sea region of Türkiye is performed to investigate the plant communities and ecological and sociological relationships with each other. The similarity relations among the plant communities and relevés (sampling areas) which they covered are investigated. The issue of fuzzy similarity of sets and elements in sets is studied. According to this point of view, the fuzzy similarity among the plant communities and among the relevés is introduced. This joint study is carried out in a fuzzy environment, considering the classical results found in the project in question to be obtained in more detail for application. It is also understood that such studies can only be best performed with an interdisciplinary working group. [ABSTRACT FROM AUTHOR]

Abstract In this article, new classes of functions based on new variations of metric-preserving functions are defined. Necessary and sufficient conditions for functions to be in these classes are also provided. As a result, we can explain relations between all classes and learn that all functions in the classes are weakly separated from 0. We can extend fixed point theorems, which were originally provided by Kirk and Shahzad and were later extended by Pongsriiam and Termwuttipong, in this journal by considering all functions that are weakly separated from 0.

A periodic lattice in Euclidean space is the infinite set of all integer linear combinations of basis vectors. Any lattice can be generated by infinitely many different bases. This ambiguity was partially resolved, but standard reductions remain discontinuous under perturbations modelling atomic displacements. This paper completes a continuous classification of 2-dimensional lattices up to Euclidean isometry (or congruence), rigid motion (without reflections), and similarity (with uniform scaling). The new homogeneous invariants allow easily computable metrics on lattices considered up to the equivalences above. The metrics up to rigid motion are especially non-trivial and settle all remaining questions on (dis)continuity of lattice bases. These metrics lead to real-valued chiral distances that continuously measure lattice deviations from higher-symmetry neighbours. The geometric methods extend the past work of Delone, Conway, and Sloane. [ABSTRACT FROM AUTHOR]

The determination of actual evapotranspiration (ET) plays a crucial role in hydrological modelling; however, it is subject to multiple sources of uncertainty. Sophisticated energy-based methods, such as METRIC, may lead to varying results based on different initial and boundary conditions. In this study, the relationship between groundwater withdrawal and the uncertainty effects of ET was explored by incorporating the uncertainty of the calculated ET values through an ensemble-based implementation of the METRIC model into the comprehensive interval-based water balance model, which includes surface and groundwater modules developed in terms of gray value model. The developed interval of ET is based on 20 members with different hot/cold pixels to provide interval-based monthly ET values. The study area is the Ghorveh–Dehgolan basin, a developed and mountainous sub-basin of the Sefidrood watershed with three alluvial aquifers in Northern Iran. The paradigm shift from deterministic hydrological structure to interval-based hydrologic structure improved the statistical metrics of the model responses, such as the streamflow KGE metric of the calibration and validation datasets, which improved from (0.5, 0.18) to (0.57, 0.49), respectively. Additionally, the proposed approach decreased the uncertainty level tied to the simulated streamflow and groundwater levels. Based on the results, normalized uncertainty efficiency (NUE) values of the simulated streamflow and groundwater level values increased as well. [ABSTRACT FROM AUTHOR]

While modern computers are fast, there are still many practical problems that require even faster computers. It turns out that on the fundamental level, one of the main factors limiting computation speed is the fact that, according to modern physics, the speed of all processes is limited by the speed of light. Good news is that while the corresponding limitation is very severe in Euclidean geometry, it can be more relaxed in (at least some) non-Euclidean spaces, and, according to modern physics, the physical space is not Euclidean. The differences from Euclidean character are especially large on micro-level, where quantum effects need to be taken into account. To analyze how we can speed up computations, it is desirable to reconstruct the actual distance values – corresponding to all possible paths – from the values that we actually measure – which correspond only to macro-paths and thus, provide only the upper bound for the distance. In our previous papers – including our joint paper with Victor Selivanov – we provided an explicit formula for such a reconstruction. But for this formula to be useful, we need to analyze how algorithmic is this reconstructions. In this paper, we show that while in general, no reconstruction algorithm is possible, an algorithm is possible if we impose a lower limit on the distances between steps in a path. So, hopefully, this can help to eventually come up with faster computations. [ABSTRACT FROM AUTHOR]

In this article, new classes of functions based on new variations of metric-preserving functions are defined. Necessary and sufficient conditions for functions to be in these classes are also provided. As a result, we can explain relations between all classes and learn that all functions in the classes are weakly separated from 0. We can extend fixed point theorems, which were originally provided by Kirk and Shahzad and were later extended by Pongsriiam and Termwuttipong, in this journal by considering all functions that are weakly separated from 0. [ABSTRACT FROM AUTHOR]

We propose and present a parallelized metric framework for evaluating human‐machine teams that draws upon current knowledge of human‐systems interfacing and integration but is rooted in team‐centric concepts. Humans and machines working together as a team involves interactions that will only increase in complexity as machines become more intelligent, capable teammates. Assessing such teams will require explicit focus on not just the human‐machine interfacing but the full spectrum of interactions between and among agents. As opposed to focusing on isolated qualities, capabilities, and performance contributions of individual team members, the proposed framework emphasizes the collective team as the fundamental unit of analysis and the interactions of the team as the key evaluation targets, with individual human and machine metrics still vital but secondary. With teammate interaction as the organizing diagnostic concept, the resulting framework arrives at a parallel assessment of the humans and machines, analyzing their individual capabilities less with respect to purely human or machine qualities and more through the prism of contributions to the team as a whole. This treatment reflects the increased machine capabilities and will allow for continued relevance as machines develop to exercise more authority and responsibility. This framework allows for identification of features specific to human‐machine teaming that influence team performance and efficiency, and it provides a basis for operationalizing in specific scenarios. Potential applications of this research include test and evaluation of complex systems that rely on human‐system interaction, including—though not limited to—autonomous vehicles, command and control systems, and pilot control systems. [ABSTRACT FROM AUTHOR]

This article addresses the role of calculations in shaping what numbers convey in crematorium burden sharing schemes. Two co-existing numerical indicators are present in these schemes, with one speaking to the limitation of environmental risk and another to exchange value generation. The environmental risk indicator emerges from the calculations present within environmental policy discussions, where numbers are measured against the damage of air emissions to the environment. Yet, burden sharing involves the introduction of new calculations that cultivate a second indicator of exchange value generation. These calculations are used to decide on the worth of environmental compliance afforded by emissions credits, correlating numbers with the generation of money and away from a focus on sustaining environmental health. The paper offers an empirically grounded contribution to the politics of the environmental disposal of the dead body by demonstrating how the use of numbers inside of crematorium burden sharing schemes reflects a tension between environmental and market-based values. [ABSTRACT FROM AUTHOR]

A new intrinsic volume metric is introduced for the class of convex bodies in ℝ n . As an application, an inequality is proved for the asymptotic best approximation of the Euclidean unit ball by arbitrarily positioned polytopes with a restricted number of vertices under this metric. This result improves the best known estimate, and shows that dropping the restriction that the polytope is contained in the ball or vice versa improves the estimate by at least a factor of dimension. The same phenomenon has already been observed in the special cases of volume, surface area and mean width approximation of the ball. [ABSTRACT FROM AUTHOR]

Increasing product diversity, rising performance and reliability demands, and industry competitiveness are some of the many reasons that increase the need of more complex product designs in almost all sectors. The complexity of parts increases with their geometrical features to be designed and manufactured. Researchers agreed that it can be qualitatively evaluated and expressed with terms like low, medium, high, and very high. However, it might be evaluated differently, depending on the designer's considerations, domain and experience. Quantitative evaluation of a design complexity is, therefore, indispensable and expedites the decision-making about the selection of the manufacturing process. However, having a well-defined and unambiguous metric for quantitative evaluation is challenging. Most of existing metrics are not objective and are only valid for their specific applications. This paper presents a novel, unambiguous, and generalized approach for shape complexity evaluation. The developed metric enables determining if the selected part should be produced by conventional methods such as machining, or by non-conventional methods such as additive manufacturing. In order to ensure its objectivity, only geometrical features have been considered. The metric was tested through 25 different part designs of varying complexity. The investigations showed an accordance between the qualitatively evaluated shape and the calculated complexity factor. Also, the comparison of the results with other metrics showed the weakness of the latter and the efficiency and reliability of our metric. The results have been also validated by 50 experts from 23 countries. Based on these results, a threshold between machining and additive manufacturing is fixed allowing an easier decision-making. [ABSTRACT FROM AUTHOR]

Log-linear models are a family of probability distributions which capture relationships between variables. They have been proven useful in a wide variety of fields such as epidemiology, economics and sociology. The interest in using these models is that they are able to capture context-specific independencies, relationships that provide richer structure to the model. Many approaches exist for automatic learning of the independence structure of log-linear models from data. The methods for evaluating these approaches, however, are limited, and are mostly based on indirect measures of the complete density of the probability distribution. Such computation requires additional learning of the numerical parameters of the distribution, which introduces distortions when used for comparing structures. This work addresses this issue by presenting the first measure for the direct and efficient comparison of independence structures of log-linear models. Our method relies only on the independence structure of the models, which is useful when the interest lies in obtaining knowledge from said structure, or when comparing the performance of structure learning algorithms, among other possible uses. We present proof that the measure is a metric, and a method for its computation that is efficient in the number of variables of the domain. [ABSTRACT FROM AUTHOR]

G. Klir proposed to describe the behavior of complex systems using behavior functions (BFs) - invariant constraints on the set of system states. BFs are one of the most productive tools for studying the functioning of systems. To study systems, it is necessary to have a metric for measuring of the difference between two BFs. To describe BFs modern researchers do not use distributions other than probability or possibility. But these distributions can be considered as special cases of Sugeno fuzzy measures, the use of which greatly expands the possibilities in the study of systems. However, metrics to measure the difference between fuzzy measures have not been developed. Therefore, in this article, the authors proposed a new metric and an algorithm for its calculation for the case when BFs are described by Sugeno fuzzy measures. This metric is based on the Cartesian product of fuzzy measures and the use of our proposed concentration function. The metric makes it possible to compare the behavior of systems in the case of describing BFs by Sugeno fuzzy measures with different modalities, as well as to ensure the priority of taking into account the set of the most significant states of the system.

Bipolar metric spaces and related fixed point theorems therein were introduced based on the motivation of measuring the distance between the elements of distinct sets. The question regarding the independence of these results from the analogous results on a fixed point of an induced mapping on a Cartesian product of two sets. We proved that bipolar metric space is metrizable and we presented two different approaches for defining a metric induced by a bipolar metric. Two obtained metric spaces demonstrated the lack of novelty of fixed point theorems for covariant and contravariant contraction.

RNA is a complex macromolecule that plays central roles in the cell. While it is well known that its structure is directly related to its functions, understanding and predicting RNA structures is challenging. Assessing the real or predictive quality of a structure is also at stake with the complex 3D possible conformations of RNAs. Metrics have been developed to measure model quality while scoring functions aim at assigning quality to guide the discrimination of structures without a known and solved reference. Throughout the years, many metrics and scoring functions have been developed, and no unique assessment is used nowadays. Each developed assessment method has its specificity and might be complementary to understanding structure quality. Therefore, to evaluate RNA 3D structure predictions, it would be important to calculate different metrics and/or scoring functions. For this purpose, we developed RNAdvisor, a comprehensive automated software that integrates and enhances the accessibility of existing metrics and scoring functions. In this paper, we present our RNAdvisor tool, as well as state-of-the-art existing metrics, scoring functions and a set of benchmarks we conducted for evaluating them. Source code is freely available on the EvryRNA platform: https://evryrna.ibisc.univ-evry.fr. [ABSTRACT FROM AUTHOR]

Index spaces serve as valuable metric models for studying properties relevant to various applications, such as social science or economics. These properties are represented by real Lipschitz functions that describe the degree of association with each element within the underlying metric space. After determining the index value within a given sample subset, the classic McShane and Whitney formulas allow a Lipschitz regression procedure to be performed to extend the index values over the entire metric space. To improve the adaptability of the metric model to specific scenarios, this paper introduces the concept of a composition metric, which involves composing a metric with an increasing, positive and subadditive function ϕ. The results presented here extend well-established results for Lipschitz indices on metric spaces to composition metrics. In addition, we establish the corresponding approximation properties that facilitate the use of this functional structure. To illustrate the power and simplicity of this mathematical framework, we provide a concrete application involving the modeling of livability indices in North American cities. [ABSTRACT FROM AUTHOR]

Background At the end of life, individuals may experience physical symptoms such as pain, and guidelines recommend medications to manage these symptoms. Yet, little is known about the symptom management long-term care (LTC) residents receive at the end of life. Our research team developed a metric--whether residents receive one or more prescriptions for an end-of-life symptom management medication in their last two weeks--to explore end-of-life care for LTC residents. This qualitative study aimed to inform the refinement of the end-of-life prescribing metric, including the acceptability and applicability to assess the quality of a resident's symptom management at end-of-life. Methods We conducted 14 semi-structured interviews with Ontario health-care providers (physicians and nurses) who work in LTC homes and family caregivers of residents who died in LTC. Interviews were conducted virtually between February 2021 and December 2022, and were analyzed using thematic analysis. Results We identified three major themes relating to perceptions of the metric: 1) appropriateness, 2) health-care provider applicability, and 3) caregiver applicability. Participants noted that the metric may be appropriate to assess end-of-life care, but noted important nuances. Regarding applicability, health-care providers found value in the metric and that it could inform their practice. Conversely, caregivers found limited value in the metric. Conclusion The proposed metric captures a very specific aspect of end-of- life care--whether end-of-life medications were prescribed or not. Participants deemed that the metric may reflect whether LTC homes have processes to manage a resident's end-of-life symptoms with medication. However, participants thought the metric could not provide a complete picture of end-of-life care and its quality. [ABSTRACT FROM AUTHOR]

The perceived value of athlete monitoring systems (AMS) has recently been questioned. Poor perceptions of AMS are important, because where practitioners lack confidence in monitoring their ability to influence programming, and performance is likely diminished. To address this, researchers have primarily sought to improve factors related to monitoring metrics, e.g., validity rather than socio-environmental factors, e.g., buy-in. Seventy-five practitioners (response rate: n = 30) working with Olympic and Paralympic athletes were invited to take part in a survey about their perceptions of AMS value. Fifty-two per cent (n = 13) was confident in the sensitivity of their athlete self-report measures, but only 64% (n = 16), indicated their monitoring was underpinned by scientific evidence. A scientific base was associated with improved athlete feedback (rS (23) = 0.487, p =0.014*) and feedback correlated with athlete monitoring adherence (rS (22) = 0.675, p = <0.001**). If athletes did not complete their monitoring, 52% (n = 13) of respondents felt performance might be compromised. However, most respondents 56% (n = 14), had worked with internationally successful athlete(s) who did not complete their monitoring. While AMS can be a useful tool to aid performance optimisation, its potential value is not always realised. Addressing socio-environmental factors alongside metric-factors may improve AMS efficacy. [ABSTRACT FROM AUTHOR]

Bipolar metric spaces and related fixed point theorems therein were introduced based on the motivation of measuring the distance between the elements of distinct sets. The question regarding the independence of these results from the analogous results on a fixed point of an induced mapping on a Cartesian product of two sets. We proved that bipolar metric space is metrizable and we presented two different approaches for defining a metric induced by a bipolar metric. Two obtained metric spaces demonstrated the lack of novelty of fixed point theorems for covariant and contravariant contraction. [ABSTRACT FROM AUTHOR]

Robotic assisted surgery (RAS) has seen a global rise in adoption. Despite this, there is not a standardised training curricula nor a standardised measure of performance. We performed a systematic review across the surgical specialties in RAS and evaluated tools used to assess surgeons’ technical performance. Using the PRISMA 2020 guidelines, Pubmed, Embase and the Cochrane Library were searched systematically for full texts published on or after January 2020–January 2022. Observational studies and RCTs were included; review articles and systematic reviews were excluded. The papers’ quality and bias score were assessed using the Newcastle Ottawa Score for the observational studies and Cochrane Risk Tool for the RCTs. The initial search yielded 1189 papers of which 72 fit the eligibility criteria. 27 unique performance metrics were identified. Global assessments were the most common tool of assessment (n = 13); the most used was GEARS (Global Evaluative Assessment of Robotic Skills). 11 metrics (42%) were objective tools of performance. Automated performance metrics (APMs) were the most widely used objective metrics whilst the remaining (n = 15, 58%) were subjective. The results demonstrate variation in tools used to assess technical performance in RAS. A large proportion of the metrics are subjective measures which increases the risk of bias amongst users. A standardised objective metric which measures all domains of technical performance from global to cognitive is required. The metric should be applicable to all RAS procedures and easily implementable. Automated performance metrics (APMs) have demonstrated promise in their wide use of accurate measures. [ABSTRACT FROM AUTHOR]

Optimizing and benchmarking data reduction methods for dynamic or spatial visualization and interpretation (DSVI) face challenges due to many factors, including data complexity, lack of ground truth, time-dependent metrics, dimensionality bias and different visual mappings of the same data. Current studies often focus on independent static visualization or interpretability metrics that require ground truth. To overcome this limitation, we propose the MIBCOVIS framework, a comprehensive and interpretable benchmarking and computational approach. MIBCOVIS enhances the visualization and interpretability of high-dimensional data without relying on ground truth by integrating five robust metrics, including a novel time-ordered Markov-based structural metric, into a semi-supervised hierarchical Bayesian model. The framework assesses method accuracy and considers interaction effects among metric features. We apply MIBCOVIS using linear and nonlinear dimensionality reduction methods to evaluate optimal DSVI for four distinct dynamic and spatial biological processes captured by three single-cell data modalities: CyTOF, scRNA-seq and CODEX. These data vary in complexity based on feature dimensionality, unknown cell types and dynamic or spatial differences. Unlike traditional single-summary score approaches, MIBCOVIS compares accuracy distributions across methods. Our findings underscore the joint evaluation of visualization and interpretability, rather than relying on separate metrics. We reveal that prioritizing average performance can obscure method feature performance. Additionally, we explore the impact of data complexity on visualization and interpretability. Specifically, we provide optimal parameters and features and recommend methods, like the optimized variational contractive autoencoder, for targeted DSVI for various data complexities. MIBCOVIS shows promise for evaluating dynamic single-cell atlases and spatiotemporal data reduction models. [ABSTRACT FROM AUTHOR]

The purpose of this study is to review and understand Vietnam's measurement of competitiveness for its local authorities. This paper delves into the application of two fundamental metrics, namely the Provincial Competitiveness Index (PCI) and the Department and District Competitiveness Index (DDCI). As Vietnam continues its trajectory of rapid economic development and regional integration understanding the dynamics of competitiveness at subnational levels has great importance. Drawing upon an overview of the competitiveness concept, case study, and perspectives, the article provides a holistic understanding of subnational competitiveness metrics in Vietnam. Results offer valuable insights for policymakers, researchers, and stakeholders involved in subnational development strategies and economic governance frameworks in Vietnam and beyond. This study also indicates future opportunities and challenges within research on pillars/indices, indicators and their impacts on creating the ease of doing business at subnational level. [ABSTRACT FROM AUTHOR]

Objective: To reveal the profile and practice in patients with acute stroke who received intravenous tissue plasminogen activator (IV tPA) and/or neuro-interventional therapy in Türkiye. Materials and Methods: On World Stroke Awareness Day, May 10, 2018, 1,790 patients hospitalized in 87 neurology units spread over 30 health regions were evaluated retrospectively and prospectively. Results: Intravenous tPA was administered to 12% of 859 cases of acute ischemic stroke in 45 units participating in the study. In the same period, 8.3% of the cases received neurointerventional treatment. The rate of good prognosis [modified Rankin score (mRS) 0–2] at discharge was 46% in 83 patients who received only IV tPA [age: 67 +- 12 years; National Institutes of Health Stroke Scale (NIHSS): 12 +- 6; hospital stay, 24 +- 29 days]; 35% in 51 patients who underwent thrombectomy (MT) alone (age: 64 +- 13 years; NIHSS: 14.1 +- 6.5; length of hospital stay, 33 +- 31 days), 19% in those who received combined treatment (age: 66 +- 14 years; NIHSS: 15.6 +- 5.4; length of hospital stay, 26 +- 35 days), and 56% of 695 patients who did not receive treatment for revascularization (age: 70 +- 13 years; NIHSS: 7.6 +- 7.2; length of hospital stay, 21 +- 28 days). The symptom-to-door time was 87 +- 53 minutes in the IV treatment group and 200 +- 26 minutes in the neurointerventional group. The average door-to-needle time was 66 +- 49 minutes in the IV tPA group. In the neurothrombectomy group, the door-to-groin time was 103 +- 90 minutes, and the TICI 2b-3 rate was 70.3%. In 103 patients who received IV tPA, the discharge mRS 0–2 was 41%, while the rate of mRS 0–1 was 28%. In 71 patients who underwent neurothrombectomy, the mRS 0–2 was 31% and mRS 0–1 was 18%. The door-to-groin time was approximately 30 minutes longer if IV tPA was received (125 +- 107 and 95 +- 83 minutes, respectively). Symptomatic bleeding rates were 4.8% in IV recipients, 17.6% among those who received only MT, and 15% in combined therapy. Globally, the hemorrhage rate was 6.8% in patients receiving IV tPA and 16.9% in MT. Conclusion: IV thrombolytic and neurointerventional treatment applications in acute ischemic stroke in Türkiye can provide the anticipated results. Heterogeneity has begun to be reduced in our country with the dissemination of the system indicated by the 'Directive on Health Services to be Provided to Patients with Acute Stroke.'

Abstract There is a clear need to harmonize outcome measurement. Some authors propose to express scores as T scores to facilitate interpretation of PROM results in clinical practice. While this is a step in the right direction, there are important limitations to the acceptance of the T score metric as a common metric when T scores are based on raw sum scores of ordinal items: Such T scores of different instruments are not exactly comparable because they are not interval scaled; T scores of different measures are only on the same scale if exactly the same reference group is used; and the T sore metric cannot be maintained because it is reference population-dependent and needs to be updated regularly. These limitations can be overcome by using an item response theory (IRT)-based metric. Items from different measures can be placed on the same IRT metric to make scores comparable on an interval scale. The PROMIS initiative used IRT to develop item banks for measuring various health outcomes. Other PROMs have been linked to the PROMIS metric. Although PROMIS uses a T-score metric for practical reasons, the underlying PROMIS metric is actually an IRT metric. An IRT approach also enables further development of an item bank while preserving the underlying metric. Therefore, IRT-based metrics should be considered as common metrics for the future.

The assessment of post-disaster recovery is often hindered by limited metric and longitudinal data, in addition to the dynamic and long-term processes. Therefore, this study aimed to investigate the early stages after the 2004 Indian Ocean tsunami in Aceh, Indonesia, using the Disaster Recovery Index (DRI). The two initial waves of Study of Tsunami and Aftermath Recovery (STAR) data were used to track the recovery process from 5 to 19 months after the tsunami. The results showed various recovery patterns in three affected areas and five sectors. Furthermore, recovery rates in the medium and heavily damaged areas increased by 2.05 and 7.45 percentage points, respectively, with a 0.33 percentage point decrease in the lightly damaged areas. The social and livelihood sectors showed rapid progress, supported by the establishment of temporary health and education facilities, including Cash-for-Work programs. Meanwhile, other sectors experienced slower recovery due to their complexity. The application of the DRI successfully showed the relative positions across affected areas and sectors over time in a simple way. This confirmed the variety of recoveries in subgroups in the community and suggested the importance of regularly measuring progress using standard metrics to observe long-term conditions. [ABSTRACT FROM AUTHOR]

By using the minimal extension of the standard model and considering the general relativistic effects near the surface of a static neutron star in the presence of quintessence fields, we drive analytical expressions for the cross-section and energy deposition rate of the process ( ν e + ν ¯ e → (W , Z , γ) → e − + e + ). We have also obtained the ratio of energy deposition to total Newtonian energy deposition ( Q ̇ ∕ Q ̇ Newt ). We have displayed that the contributions of the electron neutrino's charge radius are more effective than the dipole moment in this process. The obtained solutions indicate that the contribution of the electron neutrino charge radius changes the results approximately (1–5)% depending on the R M value of the star. [ABSTRACT FROM AUTHOR]

In the conventional formulation of general relativity, gravity is represented by the metric curvature of Riemannian geometry. There are also alternative formulations in flat affine geometries, wherein the gravitational dynamics is instead described by torsion and nonmetricity. These so-called general teleparallel geometries may also have applications in material physics, such as the study of crystal defects. In this work, we explore the general teleparallel geometry in the language of differential forms. We discuss the special cases of metric and symmetric teleparallelisms, clarify the relations between formulations with different gauge fixings and without gauge fixing, and develop a method of recasting Riemannian into teleparallel geometries. As illustrations of the method, exact solutions are presented for the generic quadratic theory in 2, 3 and 4 dimensions. [ABSTRACT FROM AUTHOR]

An overview of deep metric learning methods is presented. Although they have appeared in recent years, these methods were compared only with their predecessors, with neural networks of outdated architectures used for representation learning (representations on which the metric is calculated). The described methods were compared on different datasets from several domains, using pre-trained neural networks comparable in performance to SotA (state of the art): ConvNeXt for images and DistilBERT for texts. Labeled datasets were used, divided into two parts (train and test) so that the classes did not overlap (i.e., for each class its objects are fully in train or fully in test). Such a large-scale honest comparison was made for the first time and led to unexpected conclusions, viz. some "old" methods, for example, Tuplet Margin Loss, are superior in performance to their modern modifications and methods proposed in very recent works. [ABSTRACT FROM AUTHOR]

Motivated by measuring the degree of similarity of a pair of quantum states (density matrices), we consider the metric property of the modified Bures angles and modified Bures distances of symmetric functions which are extensions of some fidelity measures on the spaces of nonzero positive semi-definite matrices. We use the positive semi-definiteness of the Gram-type matrices to characterize the metric property of the modified Bures angles. As a consequence, we can show that the modified Bures angles induced by the geometric mean, harmonic mean, minimum and maximum of two positive numbers are metrics on . In addition, we can also show that the metric property of the modified Bures angles is stronger than that of the modified Bures distances. [ABSTRACT FROM AUTHOR]

Objective: To reveal the profile and practice in patients with acute stroke who received intravenous tissue plasminogen activator (IV tPA) and/or neurointerventional therapy in Türkiye. Materials and Methods: On World Stroke Awareness Day, May 10, 2018, 1,790 patients hospitalized in 87 neurology units spread over 30 health regions were evaluated retrospectively and prospectively. Results: Intravenous tPA was administered to 12% of 859 cases of acute ischemic stroke in 45 units participating in the study. In the same period, 8.3% of the cases received neurointerventional treatment. The rate of good prognosis [modified Rankin score (mRS) 0--2] at discharge was 46% in 83 patients who received only IV tPA [age: 67 ± 12 years; National Institutes of Health Stroke Scale (NIHSS): 12 ± 6; hospital stay, 24 ± 29 days]; 35% in 51 patients who underwent thrombectomy (MT) alone (age: 64 ± 13 years; NIHSS: 14.1 ± 6.5; length of hospital stay, 33 ± 31 days), 19% in those who received combined treatment (age: 66 ± 14 years; NIHSS: 15.6 ± 5.4; length of hospital stay, 26 ± 35 days), and 56% of 695 patients who did not receive treatment for revascularization (age: 70 ± 13 years; NIHSS: 7.6 ± 7.2; length of hospital stay, 21 ± 28 days). The symptom-to-door time was 87 ± 53 minutes in the IV treatment group and 200 ± 26 minutes in the neurointerventional group. The average door-to-needle time was 66 ± 49 minutes in the IV tPA group. In the neurothrombectomy group, the door-to-groin time was 103 ± 90 minutes, and the TICI 2b-3 rate was 70.3%. In 103 patients who received IV tPA, the discharge mRS 0--2 was 41%, while the rate of mRS 0--1 was 28%. In 71 patients who underwent neurothrombectomy, the mRS 0--2 was 31% and mRS 0--1 was 18%. The door-to-groin time was approximately 30 minutes longer if IV tPA was received (125 ± 107 and 95 ± 83 minutes, respectively). Symptomatic bleeding rates were 4.8% in IV recipients, 17.6% among those who received only MT, and 15% in combined therapy. Globally, the hemorrhage rate was 6.8% in patients receiving IV tPA and 16.9% in MT. Conclusion: IV thrombolytic and neurointerventional treatment applications in acute ischemic stroke in Türkiye can provide the anticipated results. Heterogeneity has begun to be reduced in our country with the dissemination of the system indicated by the "Directive on Health Services to be Provided to Patients with Acute Stroke." [ABSTRACT FROM AUTHOR]

In this paper, we discuss problems related to construction and investigation of cones of semimetrics, quasi-semimetrics (which are oriented analogs of symmetric semimetrics), and m-semimetrics (which are multidimensional analogs of two-dimensional semimetrics). [ABSTRACT FROM AUTHOR]

There is a clear need to harmonize outcome measurement. Some authors propose to express scores as T scores to facilitate interpretation of PROM results in clinical practice. While this is a step in the right direction, there are important limitations to the acceptance of the T score metric as a common metric when T scores are based on raw sum scores of ordinal items: Such T scores of different instruments are not exactly comparable because they are not interval scaled; T scores of different measures are only on the same scale if exactly the same reference group is used; and the T sore metric cannot be maintained because it is reference population-dependent and needs to be updated regularly. These limitations can be overcome by using an item response theory (IRT)-based metric. Items from different measures can be placed on the same IRT metric to make scores comparable on an interval scale. The PROMIS initiative used IRT to develop item banks for measuring various health outcomes. Other PROMs have been linked to the PROMIS metric. Although PROMIS uses a T-score metric for practical reasons, the underlying PROMIS metric is actually an IRT metric. An IRT approach also enables further development of an item bank while preserving the underlying metric. Therefore, IRT-based metrics should be considered as common metrics for the future. [ABSTRACT FROM AUTHOR]

Background: Computed tomography (CT) scans are a convenient means to study 3D reconstructions of bones. However, errors associated with the different nature of the observation, e.g. visual and tactile (on dry bone) versus visual only (on a screen) have not been thoroughly investigated. Materials and methods: We quantified the errors between modalities for sex estimation protocols of nonmetric (categorical and ordinal) and metric data, using 200 dry pelves of archaeological origin and the CT reconstructions of the same bones. In addition, we 3D surface scanned a subsample of 39 pelves to compare observations with dry bone and CT data. We did not focus on the sex estimation accuracy but solely on the consistency of the scoring, hence, the interchangeability of the modalities. Results: Metric data yielded the most consistent results. Among the nonmetric protocols, ordinal data performed better than categorical data. We applied a slightly modified description for the trait with the highest errors and grouped the traits according to consistency and availability in good, intermediate, and poor. Discussion: The investigated modalities were interchangeable as long as the trait definition was not arbitrary. Dry bone (gold standard) performed well, and CT and 3D surface scans performed better. We recommend researchers test their affinity for using virtual modalities. Future studies could use our consistency analysis and combine the best traits, validating their accuracy on various modalities. [ABSTRACT FROM AUTHOR]