Multiple Definitions Research Articles

Associations between a range of enteric methane emission traits and performance traits in indoor-fed growing cattle

Abstract Despite the multiple definitions currently used to express enteric methane emissions from ruminants, no consensus has been reached on the most appropriate definition. The objective of the present study was to explore alternative trait definitions reflecting animal level differences in enteric methane emissions in growing cattle. It is likely that no single methane trait definition will be best suited to all intended use cases, but at least, knowing the relationships between the different traits may help inform the selection process. The research aimed to understand the complex interrelationships between traditional and novel methane traits and their association with performance traits across multiple breeds and sexes of cattle; also of interest was the extent of variability in daily enteric methane emissions independent of performance traits like feed intake, growth and live-weight. Methane and carbon dioxide data were collected using the Greenfeed system on 939 growing crossbred cattle from a commercial feedlot. Performance traits including feed intake, feeding behavior, liveweight, live animal ultrasound, subjectively scored skeletal and muscular traits, and slaughter data were also available. A total of 13 different methane traits were generated, including (average) daily methane production, five ratio traits and seven residual methane (RMP) traits. The RMP traits were defined as methane production adjusted statistically for different combinations of the performance traits of energy intake, liveweight, average daily gain and carcass weight; terms reflecting systematic effects were also included in the fixed effects linear models. Of the performance traits investigated, liveweight and energy intake individually explained more of the variability in methane production than growth rate or fat. All definitions of RMP were strongly phenotypically correlated with each other (>0.90) as well as with methane production itself (>0.86); the RMP traits were also moderately correlated with the methane ratio traits (>0.57). The dataset included heifers, steers and bulls; bulls were either fed a total mixed ration or ad lib concentrates. When all sexes fed total mixed ration were compared, bulls, on average, emitted the most enteric methane per day of 269.53g, while heifers and steers produced 237.54g and 253.26g, respectively. Breed differences in the methane traits existed, with Limousins, on average, producing the least amount of methane of the breeds investigated. Herefords and Montbéliardes produced 124.50g and 130.77g more methane per day, respectively, than Limousins. The most efficient 10% of test-day records, as defined by daily methane independent of both energy intake and liveweight emitted, on average, 54.60 g/d less methane than animals that were average for daily methane independent of both energy intake and liveweight. This equates to 6.5kg less methane production per animal over a 120-day finishing period for the same feed intake and liveweight.

Sleep disturbances are associated with multiple definitions of long COVID.

Sleep disturbances are associated with multiple definitions of long COVID.

Bias mitigation for fair automation of classification tasks

AbstractThe incorporation of machine learning algorithms into high‐risk decision‐making tasks has raised some alarms in the scientific community. Research shows that machine learning‐based technologies can contain biases that cause unfair decisions for certain population groups. The fundamental danger of ignoring this problem is that machine learning methods can not only reflect the biases present in our society but could also amplify them. This article presents the design and validation of a technology to assist the fair automation of classification problems. In essence, the proposal is based on taking advantage of the intermediate solutions generated during the resolution of classification problems through using Auto‐ML tools, in particular, AutoGOAL, to create unbiased/fair classifiers. The technology employs a multi‐objective optimization search to find the collection of models with the best trade‐offs between performance and fairness. To solve the optimization problem, we introduce a combination of Probabilistic Grammatical Evolution Search and NSGA‐II. The technology was evaluated using the Adult dataset from the UCI repository, a common benchmark in related research. Results were compared with other published results in scenarios with single and multiple fairness definitions. Our experiments demonstrate the technology's ability to automate classification tasks while incorporating fairness constraints. Additionally, our method achieves competitive results against other bias mitigation techniques. A notable advantage of our approach is its minimal requirement for machine learning expertise, thanks to its Auto‐ML foundation. This makes the technology accessible and valuable for advancing fairness in machine learning applications. The source code is available online for the research community.

Validating the Definition of Lumbar Instability-A Cross-Sectional Study with 420 Healthy Volunteers.

Background/Objectives: Low back pain is thought to be caused by lumbar instability. To date, multiple definitions of radiological lumbar instability have been used without verifying the "normal range" of the lumbar segmental mobility. Ideally, normative data for lumbar mobility in healthy individuals are required to establish an acceptable threshold for lumbar instability. This study aims to elucidate (i) the prevalence of so-called radiological lumbar instability at each lumbar spine level in conventional criteria and (ii) a practical radiological threshold for lumbar instability in healthy individuals. Methods: Participants completed a questionnaire and underwent standard active dynamic radiography of the lumbar spine in the standing position. Intervertebral range of motion (IROM) and sagittal translation distance (ΔST) were measured at each intervertebral level. Nachemson's criteria of radiological lumbar instability were applied. Results: This study involved four hundred and twenty participants (249 males and 171 females); 76% (320/420) met the criteria for radiological lumbar instability. The definition of lumbar instability based on IROM and ΔST was achieved by 0.2% and 1.7% of participants at the L5-sacrum (L5-S) level, respectively. Conclusions: The normative data of lumbar mobility were obtained from a large number of participants who had less LBP-related ADL disability. The widely accepted criteria for lumbar instability were not applicable except for the L5-S level. Further studies of lumbar mobility, including patients with severe LBP, might prove the relationship between hypermobility of the lumbar spine and LBP.

Communicating Social Cohesion in Forced Displacement: A Framework for Protracted Situations of Encampment

This paper addresses the role that communication and media interventions can play in fostering social cohesion among displaced populations in camp settings through a review of both practical and theoretical notions in this area. The multiple definitions available in the literature on social cohesion do not come to a consensus on what this concept means. Yet, despite this lack of substance, reflecting on social cohesion in contexts of displacement has been a prevalent topic. Horizontal social cohesion, which is critical in protracted situations of encampment, is defined by UNHCR as the bond that ‘hold(s) people together within a community’. While a number of studies have focused on the social connection between host and displaced people, scarce attention has been paid to the dynamics and social fractures among displaced communities themselves. Yet, tensions both within and between groups of displaced people may be equally, if not more important to social cohesion than relationships with other groups. In order to begin to address this gap, a communication-based framework for humanitarian and development work on social cohesion in refugee camps is presented. Ultimately, the aim of this article is to offer a starting point for humanitarian agencies working in refugee camps to articulate the adoption of a communication-driven approach in their social cohesion programming.

Association Between Abnormal Sleep Duration and Stroke in the United States.

The new American Heart Association Life's Essential 8 construct of ideal cardiovascular health now includes sleep duration. Little is known, however, about sleep duration in individuals with prior stroke. Our objective was to compare sleep duration among individuals with and without prior stroke. Using the National Health and Nutrition Examination Surveys (NHANES) database (2005-2018), individuals 18 years or older were identified (n = 37,987 without self-reported stroke; n = 1,572 with self-reported stroke). Prevalence of normal sleep duration (7-8 or 6-8 hours/night because of multiple definitions in the literature) was compared between persons with and without self-reported history of stroke using the Rao-Scott χ2 test. Multinomial logistic regression analysis was used to evaluate the relationship between prior stroke and abnormal sleep before and after adjusting for demographic and clinical variables. Compared with individuals without stroke, those with prior stroke were more likely to report >8 hours/night (unadjusted odds ratio (OR) 2.03, 95% confidence interval (CI) 1.64-2.51), <7 hours/night (1.29, 1.08-1.53), and <6 hours/night (1.87, 1.53-2.29). After adjustment, these associations were attenuated (adjusted OR 1.54, 95% CI 1.22-1.94 and 1.15, 0.96-1.38 and 1.50, 1.21-1.85). US stroke survivors are more likely to have abnormal sleep duration than those without prior stroke. Limitations of this study include the cross-sectional and self-reported nature of the data.

MANAGERIAL CHALLENGES OF SOCIAL INCUBATORS FOCUSED ON SUBSISTENCE ENTREPRENEURS

Although social incubators provide a variety of entrepreneurial support, little is known regarding their design, implementation, operation and management. The identification and characterization of the clients and stakeholders of social incubators is complicated by multiple definitions of entrepreneurship and multiple typologies of entrepreneurs. Their ventures are accompanied by strategic and tactical confusion about objectives and populations served. This study investigates the dynamics of incubator clients’ needs and attributes as they interact with the values and interests of other stakeholders in a social incubator focused on survival entrepreneurs. Our sampling was a medium sized mixed economy town in Brazil. Our thirteen-month ethnographic study analyzed the collective struggle to transcend the tensions between social and economic values and improve the lives of vulnerable populations. Central to this struggle is the incubator management’s unique humanistic ideology coupled with the search for realistic concrete results modulated by community and client attributes. Through our analysis of various interventions that occurred within the social incubator, we discuss the importance of getting to know the vulnerable to better manage social incubators that focus on subsistence entrepreneurship. These contents are valued when discussed in the context of the evolutionary phases (or trajectory) of the vulnerable in a social incubator from welcoming through training, to improvement and other phases, until citizens’ autonomy is achieved.

Who is a minor? Age assessments of refugees in Germany and the classificatory multiplicity of the state

The categories that states use to classify and govern migrants often diverge from how migrants themselves perceive and experience their conditions, biographies, and identities. Building on this insight, I argue in this article that state categories not only clash with migrants’ varied notions of categories: state categorization itself often relies on multiple definitions of categories and methods of categorization. Age assessments of young refugees in Germany demonstrate this multiplicity. These assessments are carried out by forensic medical examiners and social workers, respectively, who work with very different understandings of what constitutes age. While forensic scientists view age as countable, particular, and objective, social workers think of it as lived, assembled, and constructed. What I term the classificatory multiplicity of the state complements current scholarly endeavors aimed at critically examining state categories, particularly in the context of migration governance.

Defining Developmental Regression in Rare Neurodevelopmental Disorders of Genetic Etiology: A Scoping Review

Background: Some genetic neurodevelopmental disorders (NDDs) are linked to a loss of acquired abilities. No universal term or severity measure exists for this phenomenon. This scoping review aims further to define developmental regression in NDDs of genetic etiology. Method: We used the PRISMA checklist and searched PubMed, medRxiv, and Google Scholar for developmental regression literature. After data extraction, qualitative (e.g., assessment methods) and quantitative (e.g., mentioned NDDs) data were analyzed. Results: A total of 59 relevant articles from 2074 unique records were identified, associating 18 NDDs of genetic etiology with developmental regression. Multiple terms (e.g., loss of skills, deterioration) and definitions were used across syndromes. Conclusions: A uniform definition of developmental regression was formulated based on literature diversity and NDD heterogeneity. The study also offers guidance on identifying and monitoring developmental regression and its underlying causes.

New beginnings for dead ends: polyploidy, -SSE models, and the dead-end hypothesis

Abstract Background Since the mid-twentieth century, it has been argued by some that the transition from diploidy to polyploidy is an “evolutionary dead end” in plants. While this point has been debated ever since, multiple definitions of “dead end” have been used in the polyploidy literature without sufficient differentiation between alternative uses. Scope Here, we focus on the two most common conceptions of the dead-end hypothesis currently discussed: the “lowering diversification” hypothesis and the “rarely successful” hypothesis. We discuss the evidence for both hypotheses, and we employ a recently developed method of inferring tip diversification rates to demonstrate tests for the effect of ploidy on diversification in Solanaceae. Conclusions We find that diversification rates in the family are not strongly correlated with ploidy or with the closely related trait of breeding system. We also outline recent work in the field that moves beyond the relatively simple question of whether polyploidy increases, decreases, or does not significantly affect diversification rates in plants.

Process-Oriented Tolerance and Variation Management: Review and Classification

In the context of tolerance management, the consideration of manufacturing and assembly processes is becoming increasingly important. The main drivers for this are, above all, short development times and high-quality requirements, leading to tight tolerances. To overcome the resulting challenges, many publications address the process-oriented tolerance management. However, since multiple terms and definitions for describing activities that link tolerance management with the production process exist, it is hard to obtain a comprehensive overview on the topic. Therefore, this paper presents a review of existing approaches. The aim is to identify similarities and differences of existing approaches and present them with the help of a classification. For this purpose, among others, work from the areas of process-oriented tolerance management, stream of variation, state space modeling, and variation propagation in multistation manufacturing and assembly systems is considered. Based on the definition of the summarizing term “process-oriented tolerance and variation management”, a classification of this thematic area will be introduced.

Van der Waals Radii of Free and Bonded Atoms from Hydrogen (Z = 1) to Oganesson (Z = 118).

Reliable numerical values of van der Waals (vdW) radii are required for constructing empirical force fields, vdW-inclusive density functional, and quantum-chemical methods, as well as for implicit solvent models. However, multiple definitions exist for vdW radii, involving either equilibrium or the closest contact distances between free or bonded atoms within molecules or crystals. For the paradigmatic case of the hydrogen atom, its reported vdW radius fluctuates between 2.15 and 3.70 Bohr depending on the definition, leading to a high uncertainty in calculations and different conceptual interpretations of noncovalent interactions. In this work, we systematically review different definitions and methodologies to establish the free and bonded vdW radii for hydrogen, based on equilibrium vdW distances in noncovalently bonded molecules, enveloping electron density cutoffs, noncovalent positron bonds in hydrogen anion dimer, vacuum virtual photon cloud caused by the hydrogen atom, and atomic dipole polarizability. By doing so, we show that the vdW radius of the free hydrogen atom is 3.16 ± 0.06 Bohr. By employing the most general and elegant definition of atomic vdW radius as a function of the atomic polarizability, we tabulate consistent values of vdW radii for all atoms in the periodic table up to Z = 118.

Building and validating trend-based multiple sclerosis case definitions: a population-based cohort study for Manitoba, Canada

ObjectiveThis study aims to (1) build and validate model-based case definitions for multiple sclerosis (MS) that use trends (ie, trend-based case definitions) and (2) to apply dynamic classification to identify...

Hydroxychloroquine and Pre-eclampsia in a Diverse Cohort of Women With Systemic Lupus Erythematosus.

Patients with systemic lupus erythematosus (SLE) are at risk for pregnancy complications such as pre-eclampsia and eclampsia. These clinically important complications are associated with maternal morbidity, mortality, and postpartum cardiovascular disease. Some studies suggest that hydroxychloroquine (HCQ) may reduce pre-eclampsia risk in lupus pregnancy. Using a cohort of pregnant patients with prevalent SLE at Kaiser Permanente Northern California (KPNC), we investigated whether HCQ treatment in early pregnancy reduced the risk of pre-eclampsia or eclampsia. Among pregnant patients with SLE from 2011 to 2020, we assessed HCQ treatment from three months before pregnancy through the first trimester. HCQ exposure was defined multiple ways to account for adherence and duration of treatment. Propensity scores accounted for multiple confounders and modified Poisson models estimated risk ratios (RRs) and 95% confidence intervals of the association between HCQ treatment and pre-eclampsia or eclampsia. Effect modification by pregestational hypertension, history of nephritis, and antiphospholipid antibody (aPL) status was investigated through stratified analysis. There were 399 pregnancies among 324 patients with SLE at KPNC between 2011 and 2020. Considering multiple exposure definitions, we consistently found a null association between HCQ and pre-eclampsia or eclampsia. The RRs were consistently lower among nullipara patients, and RRs were consistently protective but not statistically significant among the high-risk subgroup of patients with a history of nephritis, aPL positivity, or pregestational hypertension (for both nullipara and multipara patients). Although this study found no reduced risk of HCQ on pre-eclampsia or eclampsia, residual confounding may be attenuating the effect despite an integrated health care delivery system setting with detailed clinical data.

(Invited) On the Definition of Velocity in Statistically Accurate, Discrete-Time Simulations of Thermodynamics

One of the most basic struggles in simulations of statistical and dynamical systems is how to appropriately balance the desire for simulation accuracy, obtained in the small time step limit, with simulation efficiency, obtained for large time steps. Obviously, we would like to have the benefits of both limits of accuracy and efficiency. Thus, understanding the influence of discrete time on the behavior of equations of motion is crucial for the understanding and optimization of numerical simulations in physical science and engineering. There are two different types of crucial discretization errors. One is that the simulated, discrete-time trajectory increasingly deviates from the true, continuous-time trajectory as the time step is increased. Another is that the simulated discrete-time velocity increasingly deviates from the expected velocity of the corresponding simulated trajectory as the time step is increased. While the former error is a signature that the simulated trajectory is not exactly the intended one, the simulation may still be representative of the true system. In contrast, the latter error is a signature of a fundamental internal inconsistency in the simulation, which may greatly complicate physical interpretation of the simulation results, especially when both configurational and kinetic measures are required. It is therefore crucially important to understand the relationship between a discrete-time coordinate and its corresponding velocity.It has previously been shown that, unlike in continuous-time, discrete-time configurational dynamics does not need a discrete-time velocity variable. This realization allowed for the derivation of the complete configurational GJ set of stochastic Verlet-type algorithms for simulating the Langevin equation. This set has the key feature of simultaneously giving exact, time-step independent statistical sampling of damped, noisy harmonic oscillators, and giving exact spatial transport values, drift and Einstein diffusion, on flat surfaces. The apparent fact that a discrete-time velocity is not required to simulate a coordinate trajectory implies that discrete-time velocity is an ambiguous concept, which, in turn, implies that multiple velocity definitions can be entertained in order to avoid internal simulation inconsistencies between configurational and kinetic measures. From the derivation of the stochastic GJ methods it was shown that a statistically correct velocity obtained at the same time as the coordinate (an on-site velocity) cannot be obtained. In contrast, a velocity at the half-step between consecutive configurational time steps (a half-step velocity) was identified to produce exact statistical kinetic response for harmonic oscillators regardless of the applied time step. However, only for a single GJ method does this velocity also give the correct drift value.We here derive new, practical velocity definitions that are optimized for statistical kinetic measures, such that, e.g., measures of kinetic energy and correlations with the configurational coordinate are exact for the noisy harmonic oscillator, while also producing the correct kinetic measure of transport on flat surfaces. We identify and analyze three half-step velocity definitions that fulfill these criteria, and we outline simple and practical Verlet-type algorithms that incorporate these velocities within the statistically desirable GJ format that provides the optimized configurational statistics. The application of the methods are demonstrated through characteristic Molecular Dynamics simulations of both simple and complex systems, illustrating how the resulting methods are able to efficiently and simultaneously simulate configurational and kinetic statistical ensembles in different situations using very large time steps.

Definitions of pulmonary exacerbation in people with cystic fibrosis: a scoping review

BackgroundPulmonary exacerbations (PExs) are clinically important in people with cystic fibrosis (CF). Multiple definitions have been used for PEx, and this scoping review aimed to identify the different definitions reported...

Frontier, not boundary: The use of amenities around communities

In the field of urban governance, the concept of community is often regarded as the fundamental unit for the delivery of public services. People strive to tackle diverse challenges, such as social segregation and rigid bureaucracy, through the lens of community development. Hence, a precise articulation of this concept is crucial. However, “community” can refer to either a physical area or a group of people, resulting in multiple definitions. The boundary of a community may be defined in various ways. Consequently, a paradox arises: people may enthusiastically explore the suitability of a community for providing public services, but without exactly clarifying where the discussed community itself is. This ambiguity can cause confusion in practical applications of the concept of community, resulting in a decrease in the effectiveness of community governance, the neglect of social attributes, and the undermining of public nature. This conceptual article advocates for a new approach to defining communities, one that integrates sociological components while also having a concrete spatial anchor. It proposes substituting the idea of a clear-cut “boundary” with a buffer “frontier” (or “boundary,” depending on the author’s intended meaning) as a means of demarcating the community. By comparing the conceptual characteristics of “frontier” and “boundary,” we believe that this substitution can eliminate the yes-or-no binary determination inherent in the traditional community concept. In addition, by adopting the concept of “amenity,” we aim to provide a more tangible anchor for identifying the boundaries of a community, clarifying ambiguities, and offering guidance for subsequent research operationalization.

Identifying and enhancing the necessary ingredients for cultural humility in supervisory relationships.

Cultural humility is an oft-studied construct in psychotherapy and supervision and, as such, has multiple definitions and frameworks and is frequently contextualized as the organizing pillar of the multicultural orientation framework (MCO; alongside cultural comfort and cultural opportunities; Davis et al., 2018; Owen, 2013). Many definitions of cultural humility emphasize a high level of self-awareness, openness to feedback, empathy, and curiosity toward others' cultural experiences (Davis et al., 2018; Foronda et al., 2016; Hook et al., 2013; Zhang et al., 2022). Despite empirical evidence linking cultural humility processes, and MCO more generally, to indicators of successful psychotherapy and supervision (e.g., Davis et al., 2018; Wilcox, Drinane, et al., 2022), little guidance exists for how supervisors may assess and foster their supervisees' cultural humility. Drawing from the literature, we delineate what we see as effective pedagogy and assessment of the key ingredients of cultural humility and provide recommendations for how supervisors can use the supervisory relationship to cultivate in their supervisees each of the necessary ingredients. Given cultural humility's key role in the MCO framework, we discuss how the ingredients required for cultural humility lay the groundwork for cultural comfort and cultural opportunities. Supervision vignettes and additional resources for supervisors are included. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Allocation rules for communication situations with incompatibilities

In this article we analyze certain situations with restricted cooperation. To do this we introduce a model that combines two types of games well studied in the literature: graph-restricted games and games with incompatible players. In particular, our model extends Myerson’s model for communication situations and Bergantiños’ model for incompatible relationships. Our approach is based on the concept of profit measure, which allows us to deal simultaneously with both types of bilateral relationships. We show that in the situations considered there are multiple possible definitions of the profit achievable for each coalition. This leads us to introduce different allocation rules for these cooperative situations.

Optimizing fairness and accuracy: a Pareto optimal approach for decision-making

AbstractIn the era of data-driven decision-making, ensuring fairness and equality in machine learning models has become increasingly crucial. Multiple fairness definitions have been brought forward to evaluate and mitigate unintended fairness-related harms in real-world applications, with little research on addressing their interactions with each other. This paper explores the application of a Minimax Pareto-optimized solution to optimize individual and group fairness at individual and group levels on the Adult Census Income dataset as well as on the German Credit dataset. The objective of training a classification model with a multi-objective loss function is to achieve fair outcomes without compromising utility objectives. We investigate the interplay of different fairness definitions, including definitions of performance consistency and traditional group and individual fairness measures, amongst each other coupled with performance. The results presented in this paper highlight the feasibility of incorporating several fairness considerations into machine learning models, which can be applied to use cases with multiple sensitive features and attributes that characterize real-world applications. This research is a valuable step toward building responsible and transparent machine learning systems that can be incorporated into critical decision-making processes.