Schema In Order Research Articles

Modelling polysemy and categorial ambiguity in a constructional family

Abstract In this paper we analyse a family of compound constructions in Persian that show two interesting properties: (1) they split into two semantic patterns, human agent noun and instrument noun, and (2) they display categorial ambiguity between noun and adjective. The compounds in question, which are formed with the verbal stem -yāb ‘find’, are collected from diachronic and synchronic corpora and analysed in the framework of Construction Morphology (Booij 2010). We argue that the instrumental pattern is an innovation under the influence of loan-translated English instrument nouns. This pattern dovetailed with a much older morphological construction for human agent nouns. This raises questions about the relation between the two constructions in the contemporary speaker’s lexicon. For the dual functionality of the words as nouns and adjectives, we argue that it can be understood as a second order schema (Booij & Masini 2015) or sister construction (Jackendoff & Audring 2019, 2020), whereby no precedence is ascribed to either of the two patterns.

Online Multipath Routing via Multiplicative Weight Update

The multiplicative weight update (MWU) schema is a powerful tool to design online routing algorithms. However, even the latest research still employs or incorporates the inefficient online single-path routing (OSR) algorithm. In this article, we design an online multipath routing (OMR) algorithm via the MWU schema in order to exploit the network path diversity. Compared to OSR and comparative multipath solutions, OMR has the same worst-case performance guarantee in theory and also has significant performance advantage in practice.

Do Optimists Like Vaccines? The Effect of Perceived Vaccine Novelty and Beliefs in the World's Positivity and Orderliness on the Attitudes toward COVID-19 Vaccinations-The Case of European Young Adults.

The public debate over COVID-19 vaccinations tends to focus on vaccine-related arguments, such as their effectiveness and safety. However, the characteristics of a person’s worldview, such as beliefs about the world’s positivity and orderliness, may also shape attitudes toward COVID-19 vaccinations. These relationships were investigated using schema incongruity theory. The degree of the vaccine’s incongruence with the world’s order schema existing in people’s minds was represented by perceived vaccine novelty. Accordingly, the results of an online survey among European young adults (N = 435) indicate that perceived vaccine novelty negatively affects behavioral outcomes (vaccination intent, willingness to pay for vaccinations, and vaccination advocacy). Moreover, there occurred a negative interaction effect of positivity and orderliness beliefs on behavioral outcomes. Specifically, an effect of positivity was more positive when people perceived the world as less ordered. Furthermore, this interaction effect was more negative when perceived vaccine novelty was higher. A mediating role of perceived vaccine effectiveness was demonstrated for the above relationships. The results extend the existing literature on people’s worldviews into the domain of vaccine attitudes, and provide new insights on the role of perceived vaccine novelty. For vaccination policymakers and marketers, the paper suggests how to promote vaccinations with consideration of orderliness/positivity beliefs and vaccine novelty perception.

INTELLECTUAL AND DEVELOPMENTAL DISABILITIES: MOVEMENT AND BODY CONCEPT – A NEUROPSYCHOLOGICAL APPROACH

People with intellectual disabilities often have to cope with movement and body awareness disorders. Special educators’ assess movement and body awareness in order to determine the level and quality of movement performance, body conception, as well as the lateralization of movement and body. Movement and dance therapy are new rehabilitation methods and treatment to aid with these disorders. This article discusses the differences between the concepts of movement, body schema, body image, and body awareness in order to highlight the importance of these concepts in the physical and mental development of the child, and adulthood. The article pays special attention to the impact of the Covid 19 pandemic on movement and body awareness therapy and rehabilitation methods.

Multiple facets of learning a skill - Amalgamation of learning theories in cadaveric surgical skill lab.

Multiple facets of learning a skill - Amalgamation of learning theories in cadaveric surgical skill lab.

Ship Routes Planning Based on Traffic Clustering

This work is about navigation safety of marine traffic at sea areas. In addition to traditional approach of danger situation detection based on vessels approaching, the current paper introduces another metrics derived from kinematic parameters of the vessel to identify whether it follows patterns (rules) of the traffic at a certain sea area. Authors focused their efforts on analyzing existing traffic schemas in order to identify its danger level in general rather than scrutinizing individual cases. Along with the traditional approach of sea traffic schema identifications, we propose an original method of automated identification of sea traffic schemes based on clustering of movement parameters using historical AIS data. For the clustering decomposition subtraction clustering algorithms were considered. The historical AIS data of sea traffic at Tsugaru strait is used for identifying traffic schema and ship routes planning with the model designed under presented research.

Exercise schema and motivational regulation of college students: A person-centered analysis

To further understand the complex psychological processes involved with motivating health behavior, we sought to examine how one's exercise schema may align with self-determined exercise motivation regulations. Few studies have examined patterns of motivation regulations that may be associated with exercise schema in order to better identify unique motivation-based profiles. We conducted a latent profile analysis on responses from 427 college-aged adults to an exercise self-schema measure (schema identification and schema strength) and five exercise regulation subscales (external, introjected, identified, integrated, intrinsic). A three-class latent profile model fit this data best considering both the fit indices and theoretical implications and confirmed previous research grouping individuals into pre-exerciser schematics, aschematics, and exerciser schematics. However, the model also captured individuals that would have been unclassifiable in the original scoring analysis. Future research may examine the stability of these profiles and methods to better understand schema-regulation profiles and exercise behavior.

The need for addressing multilingualism, ambiguity and interoperability for visual resources management across metadata platforms

The digitization of visual resources and the creation of corresponding metadata that meets the criteria of clarity and interoperability, while also approaching the needs of the multilingual Web, are pressing concerns. Because visual resources make up a significant percentage of digital information, this paper focuses on the aforementioned concerns and proposes ways to address them, including swift progression and adoption of cohesive, multi-user, multilingual metadata standardization to improve digital access and to allow all descriptive image metadata to be approachable and translatable. We offer some recommendations such as those involved in visual resource management moving away from using primarily the English writing system based metadata schemas in order to provide flexible lexicon in non-Roman languages, which can easily be recognized and interpreted by both monolingual and multilingual users alike as well as facilitate digital metadata interoperability.

Urologic oncology surgery during COVID-19: a rapid review of current triage guidance documents

The Coronavirus Disease 2019 pandemic placed urologic surgeons, and especially urologic oncologists, in an unprecedented situation. Providers and healthcare systems were forced to rapidly create triage schemas in order to preserve resources and reduce potential viral transmission while continuing to provide care for patients. We reviewed United States and international triage proposals from professional societies, peer-reviewed publications, and publicly available institutional guidelines to identify common themes and critical differences. To date, there are varying levels of agreement on the optimal triaging of urologic oncology cases. As the need to preserve resources and prevent viral transmission grows, prioritizing only high priority surgical cases is paramount. A similar approach to prioritization will also be needed as nonemergent cases are allowed to proceed in the coming weeks. While these decisions will often be made on a case-by-case basis, more nuanced surgeon-driven consensus guidelines are needed for the near future.

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

Background and Objective:The COVID-19 can cause severe pneumonia and is estimated to have a high impact on the healthcare system. Early diagnosis is crucial for correct treatment in order to possibly reduce the stress in the healthcare system. The standard image diagnosis tests for pneumonia are chest X-ray (CXR) and computed tomography (CT) scan. Although CT scan is the gold standard, CXR are still useful because it is cheaper, faster and more widespread. This study aims to identify pneumonia caused by COVID-19 from other types and also healthy lungs using only CXR images.Methods:In order to achieve the objectives, we have proposed a classification schema considering the following perspectives: i) a multi-class classification; ii) hierarchical classification, since pneumonia can be structured as a hierarchy. Given the natural data imbalance in this domain, we also proposed the use of resampling algorithms in the schema in order to re-balance the classes distribution. We observed that, texture is one of the main visual attributes of CXR images, our classification schema extract features using some well-known texture descriptors and also using a pre-trained CNN model. We also explored early and late fusion techniques in the schema in order to leverage the strength of multiple texture descriptors and base classifiers at once.To evaluate the approach, we composed a database, named RYDLS-20, containing CXR images of pneumonia caused by different pathogens as well as CXR images of healthy lungs. The classes distribution follows a real-world scenario in which some pathogens are more common than others.Results:The proposed approach tested in RYDLS-20 achieved a macro-avg F1-Score of 0.65 using a multi-class approach and a F1-Score of 0.89 for the COVID-19 identification in the hierarchical classification scenario.Conclusions:As far as we know, the top identification rate obtained in this paper is the best nominal rate obtained for COVID-19 identification in an unbalanced environment with more than three classes. We must also highlight the novel proposed hierarchical classification approach for this task, which considers the types of pneumonia caused by the different pathogens and lead us to the best COVID-19 recognition rate obtained here.

Algorithmic extremism: Examining YouTube's rabbit hole of radicalization

The role that YouTube and its behind-the-scenes recommendation algorithm plays in encouraging online radicalization has been suggested by both journalists and academics alike. This study directly quantifies these claims by examining the role that YouTube’s algorithm plays in suggesting radicalized content. After categorizing nearly 800 political channels, we were able to differentiate between political schemas in order to analyze the algorithm traffic flows out and between each group. After conducting a detailed analysis of recommendations received by each channel type, we refute the popular radicalization claims. On the contrary, these data suggest that YouTube’s recommendation algorithm actively discourages viewers from visiting radicalizing or extremist content. Instead, the algorithm is shown to favor mainstream media and cable news content over independent YouTube channels with a slant towards left-leaning or politically neutral channels. Our study thus suggests that YouTube’s recommendation algorithm fails to promote inflammatory or radicalized content, as previously claimed by several outlets.

Where Do Our Problems Lie?: Comparing Rates of E-Access Problems Across Three Research Institutions

In order to build upon the research of Brett, the author categorized over three hundred e-resources troubleshooting tickets at The University of Alabama Libraries into a coding scheme originally created by Goldfinger and Hemhauser with the goal of cross-comparing the results with that of two other research libraries. The results of the analysis shed light upon the most commonly reported types of problems among the three institutions, and patterns emerged that could be indicative of industry-wide concerns. The author also developed a more specific, local classification schema in order to identify areas in which local solutions could be implemented to improve user experience.

Using FTIR to Study the Chemical Degradation of Archaeological Wood in EL-Moez Street

Despite the complex structure of wood, it is a very sensitive material easy to degrade for several factors. FTIR spectroscopy is an excellent analytical method to characterize wood degradation by revealing chemical changes in wood structure in terms of the oxidation or hydrolysis mechanisms in the basic components: cellulose, hemicellulose and lignin. This paper presents assessing the different degradation types of archaeological wood in Historic Cairo as well as suggests a proposal schema in order to treat degraded wood.

The Mediating Role of Early Maladaptive Schemas in the Relationship between Childhood Traumatic Events and Complex Posttraumatic Stress Disorder Symptoms in Older Adults (>64 Years)

The current study investigated the mediating role of Early Maladaptive Schemas (EMS) in the association between childhood trauma and Complex PTSD (CPTSD) symptom severity in a clinical sample of 42 older adults (>64 years). It was found that EMS total score mediated the relationship between childhood trauma and CPTSD symptom severity. Two second order schema factors (Disconnection; Impaired Autonomy) also had a mediating role in this relationship. Results provide preliminary support for the utility of interventions targeting EMS, particularly in the domains of Disconnection and Impaired Autonomy, in order to alleviate CPTSD symptoms. Future research is required to replicate these results within larger samples and to examine the efficacy of schema and cognitive interventions within trauma exposed older adults.

An Efficient Graph Database Model

Relational databases are holding the maximum amount of data underpinning the web. They show excellent record of convenience and efficiency in repository, optimized query execution, scalability, security and accuracy. Recently graph databases are seen as an good replacement for relational database. When compared to the relational data model, graph data model is more vivid, strong and data expressed in it models relationships among data properly. An important requirement is to increase the vast quantities of data stored in RDB into web. In this situation, migration from relational to graph format is very advantageous. Both databases have advantages and limitations depending on the form of queries. Thus, this paper converts relational to graph database by utilizing the schema in order to develop a dual database system through migration, which merges the capability of both relational db and graph db. The experimental results are provided to demonstrate the practicability of the method and query response time over the target database. The proposed concept is proved by implementing it on MySQL and Neo4j.

PathMe: merging and exploring mechanistic pathway knowledge

BackgroundThe complexity of representing biological systems is compounded by an ever-expanding body of knowledge emerging from multi-omics experiments. A number of pathway databases have facilitated pathway-centric approaches that assist in the interpretation of molecular signatures yielded by these experiments. However, the lack of interoperability between pathway databases has hindered the ability to harmonize these resources and to exploit their consolidated knowledge. Such a unification of pathway knowledge is imperative in enhancing the comprehension and modeling of biological abstractions.ResultsHere, we present PathMe, a Python package that transforms pathway knowledge from three major pathway databases into a unified abstraction using Biological Expression Language as the pivotal, integrative schema. PathMe is complemented by a novel web application (freely available at https://pathme.scai.fraunhofer.de/) which allows users to comprehensively explore pathway crosstalk and compare areas of consensus and discrepancies.ConclusionsThis work has harmonized three major pathway databases and transformed them into a unified schema in order to gain a holistic picture of pathway knowledge. We demonstrate the utility of the PathMe framework in: i) integrating pathway landscapes at the database level, ii) comparing the degree of consensus at the pathway level, and iii) exploring pathway crosstalk and investigating consensus at the molecular level.

A Social Network to Increase Collaboration and Coordination in Distributed Teams

Trust is one of the key factors involved in determining the success or failure of any project. However, achieving and maintaining trust in distributed projects when team members are geographically, temporally and culturally distant from each other is a considerable challenge. In this paper, we present Trusty, a tool designed to help develop trust in Virtual Teams. The tool is explained by using a schema of trustworthiness, and an indication of how the tool supports some features of these schema in order to foster the development of trust is therefore provided. The tool has also been evaluated by users, and the results of this evaluation are included in this paper.

The dialectic of community in Plato’s Republic

Some scholars maintain that there is no logical progression between the first three cities constructed in Plato’s Republic. In this paper I show that they are wrong. On the view I defend, the dialectic of Plato’s civic architecture is centred on an account of justice as geometrical equality. The first city expresses this account by assigning social roles on the basis of τέχνη. The second city disrupts the geometrical schema in order to accommodate the human desires for greatness and self-knowledge, with the third city re-establishing the geometrical pattern by means of poetic catharsis, a noble lie, and the placement of an armed camp.

Dark Ghettos: Injustice, Dissent, and Reform

Dark Ghettos: Injustice, Dissent, and Reform

Reimagining Cancer through Painting: An Arts-based Authoethnography

We interweave arts-based inquiry, painting, and autoethnography, to critically examine one researcher's fearful narratives around cancer, death, dying, and family myths. These methods give us the distance to deconstruct Christine's past schema in order to take away its powerful influence on her life. This destabilized illness narrative leads to a transformational narrative of peace. Arts-based inquiry invites the viewer/reader to engage in similar acts of deconstruction and transformation.