Equivalent Information Research Articles

Two-point polarization correlations of random paraxial and nonparaxial electromagnetic fields

We investigate the two-point polarization correlation properties of random, statistically stationary, two-dimensional (2D) and three-dimensional (3D) electromagnetic fields. To this end two specific mutual polarization correlation functions are introduced, one based on a geometric approach using the Poincar\'e vectors and the other on the energy distribution employing the Jones vectors. Both approaches provide equivalent information about the space-time polarization correlations and enable one to associate with the field a polarization length over which the equal-time polarization states remain essentially unchanged. For fields obeying Gaussian statistics, the polarization correlation functions take on simple forms in terms of measurable quantities representing electromagnetic coherence. The formalism is demonstrated with two examples: blackbody radiation inside a cavity and in the far zone of a cavity wall aperture.

Associations Between Clinical Outcomes and a Recently Proposed Adult Congenital Heart Disease Anatomic and Physiological Classification System

BackgroundAmerican Heart Association and American College of Cardiology consensus guidelines introduce an adult congenital heart disease anatomic and physiological (AP) classification system. We assessed the association between AP classification and clinical outcomes.Methods and ResultsData were collected for 1000 outpatients with ACHD prospectively enrolled between 2012 and 2019. AP classification was assigned based on consensus definitions. Primary outcomes were (1) all‐cause mortality and (2) a composite of all‐cause mortality or nonelective cardiovascular hospitalization. Cox regression models were developed for AP classification, each component variable, and additional clinical models. Discrimination was assessed using the Harrell C statistic. Over a median follow‐up of 2.5 years (1.4–3.9 years), the composite outcome occurred in 185 participants, including 49 deaths. Moderately or severely complex anatomic class (class II/III) and severe physiological stage (stage D) had increased risk of the composite outcome (AP class IID and IIID hazard ratio, 4.46 and 3.73, respectively, versus IIC). AP classification discriminated moderately between patients who did and did not suffer the composite outcome (C statistic, 0.69 [95% CI, 0.67–0.71]), similar to New York Heart Association functional class and NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide); it was more strongly associated with mortality (C statistic, 0.81 [95% CI, 0.78–0.84]), as were NT‐proBNP and functional class. A model with AP class and NT‐proBNP provided the strongest discrimination for the composite outcome (C statistic, 0.73 [95% CI, 0.71–0.75]) and mortality (C statistic, 0.85 [95% CI, 0.82–0.88]).ConclusionsThe addition of physiological stage modestly improves the discriminative ability of a purely anatomic classification, but simpler approaches offer equivalent prognostic information. The AP system may be improved by addition of key variables, such as circulating biomarkers, and by avoiding categorization of continuous variables.

Data Information in Contingency Tables: A Fallacy of Hierarchical Loglinear Models

Information identities derived from entropy and relative entropy can be useful in statistical inference. For discrete data analyses, a recent study by the authors showed that the fundamental likelihood structure with categorical variables can be expressed in different yet equivalent information decompositions in terms of relative entropy. This clarifies an essential difference between the classical analysis of variance and the analysis of discrete data, revealing a fallacy in the analysis of hierarchical loglinear models. The discussion here is focused on the likelihood information of a three-way contingency table, without loss of generality. A classical three-way categorical data example is examined to illustrate the findings.

Digital storytelling within the Australian mining industry: worker engagement and health literacy indicator effects.

The mining industry is a demanding context for workplace health education due to a range of factors including productivity targets, workforce diversity and work roster schedules. This project investigated the impact of digital story health communication on worker engagement and its effect on interactive and critical health literacy indicators. The study comprised a quasi-experimental parallel time series research design, with control and intervention groups at each of the mine sites (n = 2). Workers in the intervention group (n = 85) received a 'toolbox talk' presentation incorporating a digital story featuring a mining industry worker and a leading cardiovascular health expert. The control group (n = 90) received equivalent health information communicated in a non-narrative manner, reflective of typical practices within the mining industry. A significantly greater effect was evident for worker engagement within the intervention group, with substantial maintenance over the follow-up period, compared with no significant effect at follow-up within the control group. Significant effects on interactive health literacy indicators (n = 3) were evident for the intervention group with corresponding lower level or nil effects within the control group. The findings highlight the benefits of evidence-based digital stories as an efficient and efficacious worker-centred health communication strategy for complex industrial workplace environments.

Lysyl Oxidase‐like 2 Targets Specific Lysine residues within the 7S dodecamer of Collagen IV

Lysyl oxidase like 2 (LOXL2) has emerged as an attractive target for the development of therapies for different forms of tissue fibrosis including liver, lung, kidney and cancer-associated fibrosis. LOXL2 is a copper dependent enzyme that catalyzes the oxidative deamination of lysine residues to form lysyl aldehydes (allysine) in collagens. Allysines spontaneously condense into lysyl-derived crosslinks which are important for the deposition of collagens in the extracellular matrix (ECM). In our previous studies, we have established that LOXL2 promotes the formation of lysine-derived crosslinks in the 7S dodecamer, a triple-helical crosslinking domain formed by the overlap of four collagen IV molecules. Although the specific location lysine residues targeted by lysyl oxidase have been described for fibrillar collagens, the equivalent information for 7S dodecamer of collagen IV is unknown. To better understand the mechanism by which LOXL2 mediates the crosslinking of collagen IV, we developed a fluorometric assay to detect amine oxidase activity using 7S dodecamer as substrate. We characterized the ability of LOXL2 to deaminate lysine residues in two forms of 7S substrate: the wild-type crosslinked 7S substrate and an uncrosslinked form purified from ECM derived from cells lacking LOXL2. Surprisingly, the enzyme showed little to no activity with crosslinked 7S dodecamer whereas a pronounced enzyme activity was observed with the uncrosslinked form of the 7S substrate. As trypsin digestion indicated that not all lysine residues present in the wild type 7S dodecamer take part in crosslinking, we hypothesized that the LOXL2 targets specific lysine residues. To identify specific lysine residues, uncrosslinked 7S dodecamers were oxidized with LOXL2 and newly formed allysines were labeled with a biotin tag. Optimization of biotinylation reaction was monitored by Streptavidin-HRP followed by enhanced chemiluminescence (ECL). After trypsin digestion of 7S dodecamers, biotinylated peptides containing allysine residues were identified by mass spectrometry. We discuss the potential rol of the identified allysines in the alignment of the four triple-helical molecules forming the 7S dodecamer. A better understanding of the mechanism by which LOXL2 promotes collagen IV crosslinking will provide the foundations for the development of effective therapies against tissue fibrosis.

Robust, source-independent biases in children's use of socially and individually acquired information.

Culture has an extraordinary influence on human behavior, unparalleled in other species. Some theories propose that humans possess learning mechanisms biologically selected specifically for social learning, which function to promote rapid enculturation. If true, it follows that information acquired via observation of another's activity might be responded to differently, compared with equivalent information acquired through one's own exploration, and that this should be the case in even very young children. To investigate this, we compared children's responses to information acquired either socially or from personal experience. The task we used allowed direct comparison between these alternative information sources, as the information value was equivalent across conditions, which has not been true of previous methods used to tackle similar questions. Across two 18-month- to 5-year-old samples (recruited in the United Kingdom and China), we found that children performed similarly following information acquired from social demonstrations, compared with personal experience. Children's use of the information thus appeared independent of source. Furthermore, children's suboptimal performance showed evidence of a consistent bias driven by motivation for exploration as well as exploitation, which was apparent across both conditions and in both samples. Our results are consistent with the view that apparent peculiarities identified in human social information use could be developmental outcomes of general-purpose learning and motivational biases, as opposed to mechanisms that have been biologically selected specifically for the acquisition of cultural information. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Feature-based ontological framework for semantic interoperability in product development

An essential requirement in integrating tasks in product development is to have a seamless exchange of product information through the entire product lifecycle. A key challenge in the integration is the exchange of shape semantics in terms of understandable labels and representations. A unified taxonomy is proposed to represent, classify, and extract shape features. This taxonomy is built using the Domain-Independent Form Feature (DIFF) model as the representation of features. All the shape features in a product model are classified under three main classes, namely, volumetric features, deformation features and free-form surface features. Shape feature ontology is developed using the unified taxonomy, which brings the shape features under a single reasoning framework. One-to-many reasoning framework is presented for mapping semantically equivalent information (label and representation) of the feature to be exchanged to target applications, and the reconstruction of the shape model automatically in that target application. An algorithm has been developed to extract the semantics of shape features and construct the model in the target application. The algorithm developed has been tested for shape models taken from literature and test cases are selected based on variations of topology and geometry. Results of exchanging product information are presented and discussed. Finally, the limitations of the proposed method for exchanging product information are explained.

Improving selective channel occlusion of complex hydrocarbons and fatty acid methyl esters in urea crystals by using an expendable 3D-printed microfluidic device for sample preparation in untargeted petroleomics

In this study, we describe a proof-of-concept investigation of the potential and limitations of employing channel occlusion for sample preparation in untargeted analysis in petroleomics. A middle petroleum distillate composed of fatty acid methyl esters (FAME) and a complex mixture of linear, branched, and cyclic hydrocarbons were selected as the model samples for this investigation. A microfluidic device was engineered to overcome the limitations of channel occlusion, resulting in a quick and robust method for sample preparation. The 3D-printed device using fused deposition modelling (FDM) allowed the combination of a 13-h multi-step sample handling protocol into a 2-min single-step procedure, which is also automation-friendly. Such developments were also evaluated using the analytical eco-scale to guide the development of a green analytical method. The relative standard deviation decreased 2-fold with method miniaturization. The efficiency of n-alkane removal was extended from tridecane (n-C13) to heptadecane (n-C17), compared to original method (n-C16 to n-C17). The analytical performance of the method was investigated for untargeted analysis. The tool used to probe the intra- and inter-class variance was multi-way principal component analysis (MPCA). MPCA modelling revealed that both methods generated equivalent chemical information, highlighting the benefits of reliable and reproducible sample preparation methods, especially for untargeted analysis. Such awareness is critical to avoid the generation of misleading results in fields that heavily rely on untargeted analysis and fingerprinting, such as petroleomics.

Metacognitive Labeling of Contentious Claims: Facts, Opinions, and Conspiracy Theories.

Congenial information is often judged to be more valid than uncongenial (but otherwise equivalent) information. The present research explores a related possibility concerning the process by which people label a claim as fundamentally factual (open to proof or disproof) or opinion (a matter of personal preference not amenable to falsification). Rather than merely being more skeptical of uncongenial claims, uncongenial claims may be metacognitively categorized as more opinion than factual, while congenial claims may be more likely to be categorized as factual. The two studies reported here attempt to trace a preliminary outline of how claims are categorized as fact, opinion, or some mix of the two in the context of mundane claims, contentious political issues, and conspiracy theories. The findings suggest that claims are more likely to be labeled factual (and, to a lesser extent, are less likely to be labeled opinion) to the extent that one subjectively agrees with the content of the claim. Conspiracy theories appear to occupy a middle-ground between fact and opinion. This metacognitive approach may help shed light on popular debate about conspiracy theories, as well as seemingly intractable political disagreements more generally, which may reflect fundamental differences in the perceived epistemic foundations of claims rather than simple disagreement over the facts of the matter. Given limitations of the stimuli and participant samples, however, it remains to be seen how generalizable these findings are.

Addressing Linguistic Barriers to Care: Evaluation of Breast Cancer Online Patient Educational Materials for Spanish-Speaking Patients.

The purpose of this study was to evaluate the readability of breast cancer online patient educational materials (OPEM) written in Spanish and to compare to equivalent English-language OPEM. The breast cancer-related terms cáncer de seno (breast cancer), detección de cáncer de seno (breast cancer screening), and biopsia de seno (breast biopsy) were queried using an online search engine. After each query, educational information related to the queried term was downloaded from each website appearing on the first five search engine result pages. Readability of Spanish-language OPEM was evaluated using the Crawford reading grade score. When available, equivalent English-language OPEM from the same website was then evaluated using the mean of five validated readability indices. Differences in readability, word count, and reading time between Spanish- and English-language OPEM were compared using an unpaired t test. The Fisher exact test was used to compare the proportion of websites meeting AMA recommendations for patient educational resources. Queries for cáncer de seno, detección de cáncer de seno, and biopsia de seno yielded 27, 31, and 30 results of term-specific OPEM. Equivalent English-language versions were available for 19 (70.4%), 18 (58.1%), and 20 (66.7%) websites, respectively. Spanish-language OPEM were written at a lower grade reading level than equivalent English-language versions overall (5.49 ± 0.50 versus 7.77 ± 1.95, P < .01). Spanish-language OPEM were also more likely than English-language OPEM to meet AMA recommendations (82.9% versus 40.4%, P < .01). Breast cancer-related Spanish-language OPEM were written at a significantly lower grade reading level compared with equivalent information written in English.

Physically significant phase shifts in matter-wave interferometry

Many different formalisms exist for computing the phase of a matter-wave interferometer. However, it can be challenging to develop physical intuition about what a particular interferometer is actually measuring or about whether a given classical measurement provides equivalent information. Here, we investigate the physical content of the interferometer phase through a series of thought experiments. In low-order potentials, a matter-wave interferometer with a single internal state provides the same information as a sum of position measurements of a classical test object. In high-order potentials, the interferometer phase becomes decoupled from the motion of the interferometer arms, and the phase contains information that cannot be obtained by any set of position measurements on the interferometer trajectory. This phase shift in a high-order potential fundamentally distinguishes matter-wave interferometers from classical measuring devices.

Increasing inclusion through audio described exhibits: A case study

Adding audio and/or touch components to library exhibits has been reported to improve accessibility. Audio description replaces important visual content with equivalent spoken information. While initially implemented to assist people who are blind or have low vision, audio description is beneficial for a broader audience. The concise and objective translation of visual content promotes new ways of learning, helps individuals with language development and strengthens writing skills. This case study describes an audio description pilot project and the authors’ successful exploration into developing a cost-effective method of adding an audio description component to library displays and exhibits.

Age Differences in Response to Framed Side Effects Information About Hypothetical Medications

Framing equivalent information as a gain (e.g., 90% survival rate) or a loss (e.g., 10% mortality rate) can differentially impact judgments and decision making, such that people make more favorable judgements when information is presented as a positive gain versus a negative loss. The current study investigated how framing and age influences evaluative judgments of hypothetical medications used to treat common health issues when the equivalent probability of experiencing a particular side effect was presented as a gain (e.g., “86% of people who took this medication did not experience rash outbreaks”) or a loss (e.g., “14% of people who took this medication did experience rash outbreaks”). Younger and older adults were presented with health pamphlets for hypothetical medications with three unique side effects for each and indicated the medication’s perceived riskiness, how positively and negatively they felt about the medication, and their likelihood to take the medication. Numeracy, risk-taking behavior, and current affective state were also measured. When information was presented in a loss frame, people reported more negative feelings about the medication, leading to greater perceived riskiness, IE = -.785, SE = .13, p < .001. Age indirectly influenced likelihood via the positive feelings about the medication, IE = .349, SE = .14, p = .013. Younger adults felt more positively about the medications than older adults, leading to an increased willingness to take the medication. These findings provide insight into how framing and age can differentially influence evaluative judgments, perceived risk, and willingness to take medication.

Approaching 80 years of snow water equivalent information by merging different data streams

Merging multiple data streams together can improve the overall length of record and achieve the number of observations required for robust statistical analysis. We merge complementary information from different data streams with a regression-based approach to estimate the 1 April snow water equivalent (SWE) volume over Sierra Nevada, USA. We more than double the length of available data-driven SWE volume records by leveraging in-situ snow depth observations from longer-length snow course records and SWE volumes from a shorter-length snow reanalysis. With the resulting data-driven merged time series (1940–2018), we conduct frequency analysis to estimate return periods and associated uncertainty, which can inform decisions about the water supply, drought response, and flood control. We show that the shorter (~30-year) reanalysis results in an underestimation of the 100-year return period by ~25 years (relative to the ~80-year merged dataset). Drought and flood risk and water resources planning can be substantially affected if return periods of SWE, which are closely related to potential flooding in spring and water availability in summer, are misrepresented.

Improving Risk Counseling for Kidney Transplant Candidates Offered Deceased Donor Kidneys

Improving Risk Counseling for Kidney Transplant Candidates Offered Deceased Donor Kidneys

Consistency of local activation parameters at sensor- and source-level in neural signals

Objective. Although magnetoencephalography and electroencephalography (M/EEG) signals at sensor level are robust and reliable, they suffer from different degrees of distortion due to changes in brain tissue conductivities, known as field spread and volume conduction effects. To estimate original neural generators from M/EEG activity acquired at sensor level, diverse source localisation algorithms have been proposed; however, they are not exempt from limitations and usually involve time-consuming procedures. Connectivity and network-based M/EEG analyses have been found to be affected by field spread and volume conduction effects; nevertheless, the influence of the aforementioned effects on widely used local activation parameters has not been assessed yet. The goal of this study is to evaluate the consistency of various local activation parameters when they are computed at sensor- and source-level. Approach. Six spectral (relative power, median frequency, and individual alpha frequency) and non-linear parameters (Lempel-Ziv complexity, sample entropy, and central tendency measure) are computed from M/EEG signals at sensor- and source-level using four source inversion methods: weighted minimum norm estimate (wMNE), standardised low-resolution brain electromagnetic tomography (sLORETA), linear constrained minimum variance (LCMV), and dynamical statistical parametric mapping (dSPM). Main results. Our results show that the spectral and non-linear parameters yield similar results at sensor- and source-level, showing high correlation values between them for all the source inversion methods evaluated and both modalities of signal, EEG and MEG. Furthermore, the correlation values remain high when performing coarse-grained spatial analyses. Significance. To the best of our knowledge, this is the first study analysing how field spread and volume conduction effects impact on local activation parameters computed from resting-state neural activity. Our findings evidence that local activation parameters are robust against field spread and volume conduction effects and provide equivalent information at sensor- and source-level even when performing regional analyses.

Is open source GIS feasible in military operations? Evaluation by applying a USE case

The study of terrain and all its related elements and facets are of crucial importance to the military. Lodi, Smit, and Ayirebi agreed with this statement and added that the importance of terrain was recognised by military leaders more than two thousand years ago.[i] Military operations can occur at any of the three levels of war: tactical, operational and strategic and can be a combat operation or a military operation other than war (MOOTW). Information about the geography empowers a military commander to plan and execute a mission successfully. As technology developed and evolved, geographic information systems (GIS) have come to play a major role in this. Today, a military operation without the use of GIS is unthinkable. In a developing country like the South Africa, however, licenses for proprietary GIS software, vendor-exclusive training and the bureaucracy of the procurement cycle add to the time and costs of a mission. The question arises whether open source software is a feasible alternative. Since the South African National Defence Force was initially trained in the use of proprietary software and it therefore became a strong habit, the perception now exits that FOSSGIS products are neither mature enough nor user-friendly enough to be used in military operations. This study evaluates the use of an open source desktop GIS product, QGIS, in a use case for a military operation “other than war” (MOOTW). QGIS outputs were compared to those produced in ArcGIS, a proprietary desktop GIS product widely used in military operations. The user-friendliness of the two products as well as pricing was also compared. Results show that the QGIS outputs provide the operational commander with equivalent information to successfully plan and execute a mission. This implies that open source GIS is suitable for military operations, especially those with limited budgets and at short notice, such as in the case of disaster relief. [i]&nbsp;&nbsp;&nbsp; Lodi, K., Smit, H. &amp; Ayirebi, G. (2014). Terrain analysis in the course curricula of the South African Army Engineer Corps. Scientia Militaria: South African Journal of Military Studies, 42, 102-121.

Games with Unawareness

Abstract We provide a tool to model and solve strategic situations where players’ perceptions are limited, as well as situations where players realize that other players’ perceptions may be limited and so on. We define normal, repeated, incomplete information, and extensive form games with unawareness using a unified methodology. A game with unawareness is defined as a collection of standard games (of the corresponding form). The collection specifies how each player views the game, how she views the other players’ perceptions of the game and so on. The modeler’s description of perceptions, the players’ description of other players’ perceptions, etc. are shown to have consistent representations. We extend solution concepts such as rationalizability and Nash equilibrium to these games and study their properties. It is shown that while unawareness in normal form games can be mapped to incomplete information games, the extended Nash equilibrium solution is not mapped to a known solution concept in the equivalent incomplete information games, implying that games with unawareness generate novel types of behavior.

Design of a mechanism for access to various sources of data on health of workers

Abstract The study is based on the National Science Program 'eHealth in Bulgaria (e-Health)', funded by the Ministry of Education and Science. Partnership Contract No. D-01-200/16.11.2018 Issue Comprehensive occupational health records can be put into practice by linking multiple clinical applications, all of which need to be tailored to the requirements of specific conditions and specifications. Description of the Problem Sharing health records between distributed entities and meaningful analysis of these records requires the use of a systematic approach regarding clinical (semantic) data structures. These data should be based on a single Reference Model so that the equivalent clinical information is correctly and uniquely presented. Results Two reference models (Archetypes) related to occupational health record have been created, respectively one for the health of the working people and one for the working environment and working conditions. The models are based on openEHR. The freely available Archetype editor software was used to create the archetype. The model and hierarchical structure of the occupational health record are constructed using the XML standard. Lessons Archetypes are effective pre-coordinated combinations of hierarchies that are coordinated across the subject area to ensure semantic interoperability, consistency and data quality. The use of standardized archetypes provides an interoperable way of presenting and sharing data between different types of information systems and the specifications used. Key messages The use of standardized archetypes provides an interoperable way of presenting and sharing data. Shared data is between different types of information systems and specifications used.

Exploring Numerical Framing Effects: The Interaction Effects of Gain/Loss Frames and Numerical Presentation Formats on Message Comprehension, Emotion, and Perceived Issue Seriousness

Statistical information permeates media messages, but little is known about how the use of different presentation formats influences message processing. Thus, we explore numerical framing effects by examining how presentation formats interact with gain/loss frames to alter message processing and issue perceptions. We found that logically equivalent information embedded in gain/loss frames generated different levels of comprehension when it was presented in a frequency format. The gap, however, disappeared when it was displayed in a percentage format. Different comprehension levels then shaped negative emotions differently, which in turn affected perceived issue seriousness. Mediational analyses tentatively suggest that numerical framing occurred through cognitive and emotional responses. The implications are discussed.