Different Levels Of Abstraction Research Articles

Exploring functionally annotated transcriptional consensus regulatory elements with CONREL.

Understanding the interaction between human genome regulatory elements and transcription factors is fundamental to elucidate the structure of gene regulatory networks. Here we present CONREL, a web application that allows for the exploration of functionally annotated transcriptional ‘consensus’ regulatory elements at different levels of abstraction. CONREL provides an extensive collection of consensus promoters, enhancers and active enhancers for 198 cell-lines across 38 tissue types, which are also combined to provide global consensuses. In addition, 1000 Genomes Project genotype data and the ‘total binding affinity’ of thousands of transcription factor binding motifs at genomic regulatory elements is fully combined and exploited to characterize and annotate functional properties of our collection. Comparison with other available resources highlights the strengths and advantages of CONREL. CONREL can be used to explore genomic loci, specific genes or genomic regions of interest across different cell lines and tissue types. The resource is freely available at https://bcglab.cibio.unitn.it/conrel.

DIFFUSENESS AND DIFFERENTIATION OF THE STYLISTICS OF A SCIENTIFIC TEXT AND SPEECH STUDIES

This article represents a methodological problem that concerns the hypothesis on the possibility to differentiate adjacent scientific directions — the stylistics of a scientific text and speech studies. Theаexplanatory discourse approach (cognitive, discourse, and stylistics) is based on the concept of functional stylistics that is being developed by the Perm Scientific School (by Prof. M. N. Kozhina). The hypothesis represents the semantic structure of scientific text correlated with its extralinguistic base. This base is concretized through scientific knowledge and defined with cognitive and communicative activities of a subject towards an object. The communicative and cognitive activities of a subject are complexes of extralinguistic factors that have different levels of abstraction in a particular epistemic situation. This level of abstraction is a methodological instrument that provides differentiation of those scientific directions. The stylistics has its own niche — the study of language units as well as grammar and functional semantic categories in the framework of functional styles. These styles are influenced by abstract factors, which include public conscience, areas of activities, and cogitation. The stylistics of a scientific text is a fragment of contemporary functional stylistics, it deals with extralinguistic factors and text formation. The speech studies concern the research of unlimited dynamic space of speech and texts (not necessarily scientific ones). This space is interpreted according to dominant discourse factors (strong but not style-forming).

Simulation across representation: The interplay of schemas and simulation-based inference on different levels of abstraction.

Language comprehension of action verbs recruits embodied representations in the brain that are assumed to invoke a mental simulation (e.g., "grasping a peanut"). This extends to abstract concepts, as well ("grasping an idea"). We, therefore, argue that mental simulation works across levels of abstractness and involves higher-level schematic structures that subsume a generic structure of actions and events.

Grain size issues in constructicon building – and how to address them

Abstract Novel formats of construction-based description hold great potential for phenomena that fall through the cracks in traditional kinds of linguistic reference works. On the example of German verb argument structure constructions with a prepositional object, we demonstrate that a construction-based description of such phenomena is superior to existing lexicographic and grammaticographic treatments, but that it also poses a number of new problems. The most fundamental of these relates to the fact that construction-based analyses can be proposed on different levels of abstraction. We illustrate pertinent problems relating to the precise identification of constructional form and meaning and suggest a multi-layered descriptive format for web-based electronic reference constructica that can accommodate these challenges. Semantically, the proposed solution integrates both lumping and splitting perspectives on constructional grain size and permits users to flexibly zoom in and out on individual elements in the resource. Formally, it can capture variation in the number and marking of realised arguments as found in e.g. passives and transitivity alternations. Aspects of the theoretical controversy between Construction Grammar and Valency Theory are addressed where relevant, but our focus is on questions of description and the practical implementation of construction-based analyses in a suitable type of linguistic reference work.

Toward Automatically Assessing the Novelty of Engineering Design Solutions

Abstract We propose to automate the assessment of novelty during the early design stages, where the number of solution alternatives is high, and these alternatives are flexible. The novelty of a solution is measured as its distance from a reference product database. The distance is calculated by comparing the solution and a reference at different levels of abstraction, as defined by a casuality model called SAPPhIRE. The fundamental instrument of this comparison is a text similarity metric, which is integrated with the novelty score, a support for which is developed as an Android application, named IdeA-Novelty. The application of the algorithm upon 20 solutions reveals that the measurement is computationally expensive. The expert's ratings for the same solution set seem to vary drastically. We take this observation as the basis for an extensive discussion on novelty, an operational definition for which is proposed toward the end.

ON1 UNDERSTANDING VARIATION IN TREATMENT SEQUENCES AND OUTCOMES IN METASTATIC COLORECTAL CANCER: USING REAL WORLD DATA TO ANSWER REAL WORLD QUESTIONS

Objectives The wide range of possible treatment combinations and sequences available for metastatic colorectal cancer (mCRC) treatment presents a major challenge to clinicians, who need to determine the optimal approach for an individual patient or patient subset. Real world data are a valuable resource to understand variation in treatment patterns and outcomes in routine practice. This study aimed to develop a data visualization tool to improve understanding of treatment complexity in mCRC and target further research efforts. Methods Real world data from an Australian mCRC registry were used to develop an online tool that visualizes variation in treatment sequences using interactive Sankey and sunburst diagrams. These diagrams were customizable to specific patient subsets based on patient and disease characteristics. To allow for different levels of detail, treatments were recoded according to different levels of abstraction. Results Of 2694 patients, 2057 (76%) started first-line treatment with chemotherapy or a biological agent, 1087 (40%) and 428 (16%) received second and third-line therapy, respectively. Combined, these three lines of treatment accounted for 733 unique sequences. After recoding treatment to the most intensive chemotherapy and the first exposed biologic, 472 unique sequences remained. The most frequent treatment decision by clinicians was whether to initiate first-line doublet chemotherapy with or without bevacizumab (n=1481, 72%), with median progression-free survival (95% confidence interval) of 10.1 months (9.5, 10.8) and 9.2 days (8.5, 10.7), respectively. Conclusions This initial exploration of the use of data visualization tools to inform understanding mCRC treatment practice, showed the potential for such tools to define variation in practice patterns and to identify opportunities to improve care and outcomes. Ultimately, clinicians and health system providers may use such tools to improve the delivery of personalized cancer care, where other applications such as health economic simulation models may be useful.

K Pojmu Slovotvorné Solitérnosti

Abstract This paper focuses on different types of word­formation uniqueness. Wordformation uniqueness can be found in solitary word­formation structures, which the author defines as unique structures representing a specific word­formation type found in a single derivative. The basic and simplest type is represented by a unique affix in a single derivative in the respective language of a given time period. An example of this is the Czech noun obličej [‘face’]: the circumfix ob-ej (with -lič- as a radix to be found in the noun líce [‘cheek’]) is found in no other noun in the contemporary Czech. Another uniquely formed noun in contemporary Czech is the noun rukáv [‘sleeve’], derived from ruka [‘hand’] with the unique suffix -áv. Specific word­formation solitaires are theoretically conceived values. They are derivatives with a specific, but not uniquely found affix which is uniquely added to the stem of a single word of a specific part of speech, e.g. the very specific suffix -ule is added to the stem of the verb vrtět [‘to wag’] so that the noun vrtule [‘propeller’] is derived. This article shows that the notion of word­formation solitariness can be theoretically postulated on different levels of abstractness, both of the form and of the word­formation meaning.

Repetition priming in amnesia: Distinguishing associative learning at different levels of abstraction

Learned associations between stimuli and responses make important contributions to priming. The current study aimed to determine whether medial temporal lobe (MTL) binding mechanisms mediate this learning. Prior studies implicating the MTL in stimulus-response (S-R) learning have not isolated associative learning at the response level from associative learning at other levels of representation (e.g., task sets or decisions). The current study investigated whether the MTL is specifically involved in associative learning at the response level by testing a group of amnesic patients with MTL damage on a priming paradigm that isolates associative learning at the response level. Patients demonstrated intact priming when associative learning was isolated to the stimulus-response level. In contrast, their priming was reduced when associations between stimuli and more abstract representations (e.g., stimulus-task or stimulus-decision associations) could contribute to performance. These results provide novel neuropsychological evidence that S-R contributions to priming can be supported by regions outside the MTL, and suggest that the MTL may play a critical role in linking stimuli to more abstract tasks or decisions during priming.

Values of the public at risk of wildfire and its management

Wildfire management agencies increasingly seek to understand what the public values and expects to be protected from wildfire and its management. Recent conceptual development demonstrates the utility of considering values at three levels of abstraction: localised valued entities such as people, places and objects; valued attributes of communities and landscapes; and core values, or ideals that guide in life. We used a large-scale survey (n = 1105) in Victoria, Australia, to test and extend this framework. The results confirm the usefulness of the conceptual framework and demonstrate that values that members of the public consider at risk of wildfire are much more diverse than those typically considered in wildfire risk management. Relationships between values at different levels of abstraction are meaningful and reveal the multiple ways that objects, places and people become valued. The research suggests ways to understand and practically incorporate values of the public in wildfire management.

Embodied frames and scenes

AbstractThis paper lays out the foundations of a frame-based account of gesture pragmatics through detailing how frames and metonymy interact not only in motivating gestural sign formation, but also in guiding crossmodal processes of pragmatic inferencing. It is argued that gestures recruiting frame structures tend to profile deeply embodied, routinized aspects ofscenes(in the Fillmorian sense of the term), that is, of the motivating context of frames. Two kinds of embodied frame structures situated at different levels of abstraction, schematicity, and entrechment are proposed: (A)Basic physical action and object framesunderstood as directly experientially grounded frames involving physical action and interaction with the material and social world; (B)Complex, highly abstract frame structuresthat are more detached from the motivating contexts of experience. It is further suggested that gestures exhibiting a comparably low degree of iconicity and/or indexicality are likely to assume pragmatic rather than referential functions. Finally, potential avenues for further research into the relation of scenes, frames, and (multimodal) constructions are outlined.

Integrating service quality as a second-order factor in a customer satisfaction and loyalty model

Purpose The study conceptualizes service quality as a second-order factor and analyzes its influence on customer satisfaction, perceived value, image, consumption emotions and customer loyalty by testing a structural equation model. Design/methodology/approach The model is tested using data collected from 672 guests staying in accommodation establishments located in South Africa. The study follows a hierarchical approach using confirmatory factor analysis to test the second-order factor model and structural equation modeling to test the overall model. Findings The results indicate that the second-order factor model is acceptable both empirically as well as conceptually and performs better than other competing models of service quality. The findings provide support for all hypotheses and evidence of a structural model with a high explanatory power. Research limitations/implications The second-order factor model is less useful when fine-grained analyses are needed, such as when a detailed assessment of the level of quality of service offered by a hospitality organization is required. Practical implications The second-order factor model allows for an analysis of service quality at different levels of abstraction. Accommodation managers interested in customers’ evaluation of service on a cumulative basis can make use of the global measure to determine service quality evaluations. Practitioners can also use the findings to manage the different dimensions of service quality. Originality/value The study demonstrates that service quality is best represented as a second-order factor, and in doing so, it provides an improved measurement of the construct. More so, by integrating the variable in a nomological network, the research develops a more parsimonious model than the existing ones.

Perceptual and categorical decision making: goal-relevant representation of two domains at different levels of abstraction.

To date it has been unclear whether perceptual decision making and rule-based categorization reflect activation of similar cognitive processes and brain regions. On one hand, both map potentially ambiguous stimuli to a smaller set of motor responses. On the other hand, decisions about perceptual salience typically concern concrete sensory representations derived from a noisy stimulus, while categorization is typically conceptualized as an abstract decision about membership in a potentially arbitrary set. Previous work has primarily examined these types of decisions in isolation. Here we independently varied salience in both the perceptual and categorical domains in a random dot-motion framework by manipulating dot-motion coherence and motion direction relative to a category boundary, respectively. Behavioral and modeling results suggest that categorical (more abstract) information, which is more relevant to subjects' decisions, is weighted more strongly than perceptual (more concrete) information, although they also have significant interactive effects on choice. Within the brain, BOLD activity within frontal regions strongly differentiated categorical salience and weakly differentiated perceptual salience; however, the interaction between these two factors activated similar frontoparietal brain networks. Notably, explicitly evaluating feature interactions revealed a frontal-parietal dissociation: parietal activity varied strongly with both features, but frontal activity varied with the combined strength of the information that defined the motor response. Together, these data demonstrate that frontal regions are driven by decision-relevant features and argue that perceptual decisions and rule-based categorization reflect similar cognitive processes and activate similar brain networks to the extent that they define decision-relevant stimulus-response mappings.NEW & NOTEWORTHY Here we study the behavioral and neural dynamics of perceptual categorization when decision information varies in multiple domains at different levels of abstraction. Behavioral and modeling results suggest that categorical (more abstract) information is weighted more strongly than perceptual (more concrete) information but that perceptual and categorical domains interact to influence decisions. Frontoparietal brain activity during categorization flexibly represents decision-relevant features and highlights significant dissociations in frontal and parietal activity during decision making.

An Efficient Approach to Model-Based Hierarchical Reinforcement Learning

We propose a model-based approach to hierarchical reinforcement learning that exploits shared knowledge and selective execution at different levels of abstraction, to efficiently solve large, complex problems. Our framework adopts a new transition dynamics learning algorithm that identifies the common action-feature combinations of the subtasks, and evaluates the subtask execution choices through simulation. The framework is sample efficient, and tolerates uncertain and incomplete problem characterization of the subtasks. We test the framework on common benchmark problems and complex simulated robotic environments. It compares favorably against the state-of-the-art algorithms, and scales well in very large problems.

Event-related potentials reveal the relations between feature representations at different levels of abstraction.

In this paper, we use behavioural methods and event-related potentials (ERPs) to explore the relations between informational and instantiated features, as well as the relation between feature abstraction and rule type. Participants are trained to categorize two species of fictitious animals and then identify perceptually novel exemplars. Critically, two groups are given a perfectly predictive counting rule that, according to Hannah and Brooks (2009. Featuring familiarity: How a familiar feature instantiation influences categorization. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 63, 263-275. Retrieved from http://doi.org/10.1037/a0017919), should orient them to using abstract informational features when categorizing the novel transfer items. A third group is taught a feature list rule, which should orient them to using detailed instantiated features. One counting-rule group were taught their rule before any exposure to the actual stimuli, and the other immediately after training, having learned the instantiations first. The feature-list group were also taught their rule after training. The ERP results suggest that at test, the two counting-rule groups processed items differently, despite their identical rule. This not only supports the distinction that informational and instantiated features are qualitatively different feature representations, but also implies that rules can readily operate over concrete inputs, in contradiction to traditional approaches that assume that rules necessarily act on abstract inputs.

A method engineering perspective for service-oriented system engineering

Purpose – The purpose of this paper is to consider the method engineering perspective for service-oriented system engineering (SOSE). A number of SOSE methods have been proposed in both academia and industry. Given this, many intuitive, common questions arise. To answer these questions, many comparison frameworks have been developed. Each of which has considered certain methodological perspectives. However, less attention has been given to the method engineering (ME) perspective. The authors argue that this perspective would answer the question “what ME to apply in order to produce SOSE methods that themselves produce quality services at different levels of abstraction and SBAs”. This research question is further decomposed into other questions; the main one is “whether the existing ME do apply to service orientation”. Answering such a question would lead to either developing SOSE methods by using the existing ME or developing a new ME or framework for the specifics of SOSE. Design/methodology/approach – This work first provides a literature review on ME approaches and techniques; then, it compares a sample of existing SOSE methods with respect to their ME within a comparison framework that comprises a set of relevant properties of a solution that would be provided by an SOSE method, namely, service-oriented architecture (SOA) adoption, quality of services and ME; and finally, it discusses the applicability of the existing ME to SOSE. Findings – Strengths and weaknesses of the existing methods with respect to the aforementioned criteria, in addition to SOSE methodology open issues, were identified. The comparison has shown that while the existing SOSE methods have proved their success in a specific task, they still present some weaknesses. Therefore, it is better to benefit from the advantages of the existing ME techniques, notable method fragments, even if they need some alteration. Research limitations/implications – While this work has many open issues related to SOSE methods with respect to ME, it could be further developed in many directions by exploring the open issues. For instance, the generation of a new ME technique and application of this new ME technique to the existing SOSE methods to see to what extent the existing methods may be situational. Practical implications – This work has practical implications, as it provides a better understanding of different views of SOSE methods, and assists the method engineers in deciding which ME technique is most suitable to their situation. Social implications – The produced artifact provides a research roadmap toward SOSE ME. Originality/value – None of the existing comparison frameworks for SOSE methods has considered the criteria such as SOA adoption and ME techniques. Indeed, ME techniques and approaches would allow better reuse of the existing proven fragments of methods.

Interpretations of bullying by bullies, victims, and bully-victims in interactions at different levels of abstraction.

According to the Social Information Processing Model of children's adjustment, children develop general interpretation styles for future social events based on past social experiences. Previous research has shown associations between interpretations of social situations and internalizing and externalizing symptoms. This study investigated whether bullies, victims, bully-victims, and uninvolved children interpreted ambiguous human interactions differently in terms of bullying and whether these interpretations generalized to abstract non-human interactions. Participants were 390 children (49% girls, Mage = 10.3 years) who completed self-report measures of bullying and victimization. In addition, they indicated whether video fragments of positive, negative, or ambiguous interactions between humans, animals, and abstract figures depicted bullying situations. Bully-victims reported more bullying than victims and uninvolved children in ambiguous abstract figure, animal, and human fragments and in positive animal fragments. Children who bully did not differ from the other groups. These findings indicate that interpretations of bullying generalized from ambiguous human interactions to more abstract ambiguous animal and abstract figure interactions. Implications for further research and practice were discussed.

The neural basis of conceptualizing the same action at different levels of abstraction

People can conceptualize the same action (e.g. 'riding a bike') at different levels of abstraction (LOA), where higher LOAs specify the abstract motives that explain why the action is performed (e.g. 'getting exercise'), while lower LOAs specify the concrete steps that indicate how the action is performed (e.g. 'gripping handlebars'). Prior neuroimaging studies have shown that why and how questions about actions differentially activate two cortical networks associated with mental-state reasoning and action representation, respectively; however, it remains unknown whether this is due to the differential demands of the questions per se or to the shifts in LOA those questions produce. We conducted functional magnetic resonance imaging while participants judged pairs of action phrases that varied in LOA and that could be framed either as a why question (Why ride a bike? Get exercise.) or a how question (How to get exercise? Ride a bike.). Question framing (why vs how) had no effect on activity in regions of the two networks. Instead, these regions uniquely tracked parametric variation in LOA, both across and within trials. This suggests that the human capacity to understand actions at different LOA is based in the relative activity of two cortical networks.

Decoding actions at different levels of abstraction.

Brain regions that mediate action understanding must contain representations that are action specific and at the same time tolerate a wide range of perceptual variance. Whereas progress has been made in understanding such generalization mechanisms in the object domain, the neural mechanisms to conceptualize actions remain unknown. In particular, there is ongoing dissent between motor-centric and cognitive accounts whether premotor cortex or brain regions in closer relation to perceptual systems, i.e., lateral occipitotemporal cortex, contain neural populations with such mapping properties. To date, it is unclear to which degree action-specific representations in these brain regions generalize from concrete action instantiations to abstract action concepts. However, such information would be crucial to differentiate between motor and cognitive theories. Using ROI-based and searchlight-based fMRI multivoxel pattern decoding, we sought brain regions in human cortex that manage the balancing act between specificity and generality. We investigated a concrete level that distinguishes actions based on perceptual features (e.g., opening vs closing a specific bottle), an intermediate level that generalizes across movement kinematics and specific objects involved in the action (e.g., opening different bottles with cork or screw cap), and an abstract level that additionally generalizes across object category (e.g., opening bottles or boxes). We demonstrate that the inferior parietal and occipitotemporal cortex code actions at abstract levels whereas the premotor cortex codes actions at the concrete level only. Hence, occipitotemporal, but not premotor, regions fulfill the necessary criteria for action understanding. This result is compatible with cognitive theories but strongly undermines motor theories of action understanding.

ICU family communication and health care professionals: A qualitative analysis of perspectives

Although ineffective communication is known to influence patient and family satisfaction with care in intensive care unit [ICU] settings, there has been little systematic analysis of the features of the perceived problem from a communication theory perspective. This study was undertaken to understand perceptions of miscommunication and the circumstances in which they present. Semi-structured interviews were conducted with 22 health care professionals [HCPs] in five adult ICUs at an academic medical centre in the United States. From qualitative analysis of the transcribed interviews, four themes emerged, each containing multiple subthemes. Person factors are problems that originate within individuals, related to education, cultural background and emotion. Structural factors are associated with boundaries and coordination of institutional roles. Information management problems result from social and psychological processes by which HCPs and family members seek, distribute and understand information. Relationship management problems arise from difficulties in interpersonal interactions. Ineffective communication is not a single problem, but rather several distinct problems that exist at different levels of abstraction and vary in over-time stability. These findings provide a framework for designing interventions to improve the well-being of patients and family members.

Multilevel Simulation of Nonfunctional Properties by Piecewise Evaluation

As the technology shrinks, nonfunctional properties (NFPs) such as reliability, vulnerability, power consumption, or heat dissipation become as important as system functionality. As NFPs often influence each other, depend on the application and workload of a system, and exhibit nonlinear behavior, NFP simulation over long periods of system operation is computationally expensive, if feasible at all. This article presents a piecewise evaluation method for efficient NFP simulation. Simulation time is divided into intervals called evaluation windows , within which the NFP models are partially linearized. High-speed functional system simulation is achieved by parallel execution of models at different levels of abstraction. A trade-off between simulation speed and accuracy is met by adjusting the size of the evaluation window. As an example, the piecewise evaluation technique is applied to analyze aging caused by two mechanisms, namely Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI), in order to identify reliability hotspots. Experiments show that the proposed technique yields considerable simulation speedup at a marginal loss of accuracy.