Set Of Schemas Research Articles

Effect of Teacher’s Feedback on Self-Concept of Students at Secondary Level

Self-concept is set of personal schemas (Gerrig & Zimbardo, 2002) that become more relevant during adolescence or teenage period (Fournier, 2018). Also, it is related to psychological well-being among adolescents (Marshall, 2001; McCullough, Huebner, & Laughlin, 2000). Although many factors contribute in building and shaping the self-concept in adolescents; but the present research intended to examine the role of Teacher’s feedback on the Self-concept among students. The study was conducted on sample (N=300) of students (M=15.6, SD=1.4); comprising of boys (n=150) and girls (n=150) from the public schools in urban areas of Islamabad, Pakistan. The study instruments; Teacher’s Feedback Scale (Burnett, 2003) and Adolescent’s Self-concept Short Scale (Veiga & Leite, 2016), were translated and adapted by the researcher with permission of original authors. Findings suggest that providing positive feedback about the ability of students predict a positive self-concept explaining 23% variance (DR=.228), whereas negative feedback is the non-significant negative predictor of the self-concept. The gender differences on both scales were also explored. Results can be employed to devise a teaching plan with a focus on positive feedback by teachers and avoiding negative one to help improve the self-concept among the students.

THE BOOK OF ACTS: FOUNDATIONAL ISSUES

This article focuses on two issues that relate to the study of the book of Acts: the literary relationship between the third Gospel and the book of Acts and the purpose Acts. Often deemed as “introductory” or “foundational matters”, clear thinking on these areas is essential for a correct understanding and interpretation of Acts (and indeed the third Gospel). The article examines and evaluates various scholarly proposals about both issues before drawing certain conclusions. With respect to the issue of literary relationship, the discussion follows the four-fold schema set out by I.H. Marshall. It concludes that the Third Gospel and Acts are best viewed as a two-volume work. With respect to the issue of purpose, six distinct proposals are investigated and assessed before concluding that the main purpose of Acts (and the third Gospel) is pastoral in nature. Whilst recognizing that this is the strongest of the six proposals, it does not exclude the possibility of subsidiary purposes.

EXTENDED FRAMES AND SEPARATIONS OF LOGICAL PRINCIPLES

AbstractWe aim at developing a systematic method of separating omniscience principles by constructing Kripke models for intuitionistic predicate logic $\mathbf {IQC}$ and first-order arithmetic $\mathbf {HA}$ from a Kripke model for intuitionistic propositional logic $\mathbf {IPC}$ . To this end, we introduce the notion of an extended frame, and show that each IPC-Kripke model generates an extended frame. By using the extended frame generated by an IPC-Kripke model, we give a separation theorem of a schema from a set of schemata in $\mathbf {IQC}$ and a separation theorem of a sentence from a set of schemata in $\mathbf {HA}$ . We see several examples which give us separations among omniscience principles.

Evolutionary combination of connected event schemas into meaningful plots

Many of the stories we are exposed to are built from small schemas of connected events involving a set of characters–boy meets girl leads to a relationship or crime leads to revenge. The present paper proposes an evolutionary solution to the task of putting together a story by combining a set of such schemas. This approach presents three challenges: how to mix up the elements in the different schemas, how to instantiate the characters across the schemas and how to tell acceptable combinations from the rest. The present paper applies an evolutionary solution that relies on a genetic representation for these combinations of schemas, and applies as fitness functions a set of metrics on compatibility constraints across schema combinations. Outputs of this procedure are evaluated by human judges in comparison with baseline solutions in which the values for genes are assigned at random. The proposed solution generates a population of story drafts that resemble plot descriptions for simple stories. The results of the comparative evaluation by human judges are positive. The genetic representation of pattern combinations and the metrics on compatibility across pattern pairs provide a valid evolutionary solution for constructing simple plots.

Sumptuary administration: How contested market actors shape the trajectory of policy when regulated under fragmented governance

AbstractIn contemporary society, sumptuary laws regulate contested markets by delegating enforcement responsibilities to the private sector. This can decouple the intention behind policies from the practices to implement them. When state interests do not align concerning the legality of a market, can policy and practice recouple, and if so, how? This article reports on a case study of commercial cannabis in the United States to answer this question. Interviews with 56 cannabis industry stakeholders in California, Arizona, and Texas reveal that policy and practice recoupled through a patterned process that I call sumptuary administration. In each state, regulators drew on a unique set of schemas, or “framework of accountability,” that prioritized a subset of cannabis market participants during the policy‐making process. This resulted in missing or ambiguous sumptuary laws. To address business challenges that were tethered to this regulatory environment, cannabis businesses drew on similar schemas to identify appropriate practices. I show how grounding practices in these frameworks legitimized the preferences of the cannabis industry in the eyes of state authorities and influenced specific program policy revisions. Sumptuary administration represents a novel mechanism for understanding the social construction of legality in markets that are regulated under fragmented governance.

A methodology for constructing the aircraft design schema

Aircraft collaboration design is based on a unified set of schemas containing data and model representations and interfaces across disciplines. The aircraft design schema is a central data model that specifies the paradigm for the representation of a full lifecycle model of aircraft design. The construction of the schema currently lacks theoretical guidance. This paper designs a novel methodology to construct the aircraft design schema, a fully functional, logical, and self-consistent methodology. The methodology defines a schema matrix that includes implementation strategies, principles, processes, meta-object facility, views, scenarios, and products. The aircraft conceptual design schema is constructed according to the methodology, which is a hands-on approach to help understand the concept and implementation. The features of the methodology are analyzed, and the methodology and the aircraft conceptual design schema are presented to address the pain points of multiple solution trade-offs, multiple iterations, and multidisciplinary coupling in aircraft conceptual collaboration design.

From where do legislators draw scientific knowledge? Organizations as scientific authorities in four countries' parliamentary debates.

Organizations far beyond traditional academic institutions have become prolific science producers, with many now providing evidence-based advice for national governments and policy-makers. Neo-institutional sociology explains organizations' growing investment in research activities and research-based policy advice by the all-embracing scientization and the expansion of the educated population, phenomena observable throughout the world. There is, however, considerably less knowledge about how the organizations' increased knowledge production and the supply of science-based policy advice are reflected in national policy-making, including the legislative work of parliaments, and to what extent distinct organizations are deemed authoritative in different countries. In this paper, we examine how different organizations are used as scientific authorities in parliamentary debates over new legislation. Drawing on analyses of 576 parliamentary debates from Australia, Finland, Kenya, and the United Kingdom, we study what organizations are acknowledged as scientific authorities and the relative weight of different organization types in the context of political debates over new legislation. The results reveal that while organizations in general are frequently evoked as scientific authorities in all four countries, there is remarkable variation in the types of organizations considered authoritative in different national contexts. We elaborate these findings by analysing ways in which politicians evaluate organizations as sources of scientific authority. While the same set of evaluative schemas are used in all four countries, each is typically applied to certain types of organization. The results suggest that both the supply of scientific policy advice and political culture shape legislators' rhetorical practices when drawing on organizations' scientific authority.

Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models.

Since the problem proposed in late 2000s, microRNA-disease association (MDA) predictions have been implemented based on the data fusion paradigm. Integrating diverse data sources gains a more comprehensive research perspective, and brings a challenge to algorithm design for generating accurate, concise and consistent representations of the fused data. After more than a decade of research progress, a relatively simple algorithm like the score function or a single computation layer may no longer be sufficient for further improving predictive performance. Advanced model design has become more frequent in recent years, particularly in the form of reasonably combing multiple algorithms, a process known as model fusion. In the current review, we present 29 state-of-the-art models and introduce the taxonomy of computational models for MDA prediction based on model fusion and non-fusion. The new taxonomy exhibits notable changes in the algorithmic architecture of models, compared with that of earlier ones in the 2017 review by Chen et al. Moreover, we discuss the progresses that have been made towards overcoming the obstacles to effective MDA prediction since 2017 and elaborated on how future models can be designed according to a set of new schemas. Lastly, we analysed the strengths and weaknesses of each model category in the proposed taxonomy and proposed future research directions from diverse perspectives for enhancing model performance.

Noun-verb conversion between the poles of predictability and idiosyncrasy: How do denominal verbs build their argument structures?

This article addresses the controversial question how non-derived denominal verbs (e.g. wingsuit, kennel, trombone) build their argument structures. Based on selected subsets of conceptually related verbs it will be shown that the argument structures of these verbs are flexible though not arbitrary. Without context, these verbs evoke frame-like default situations which are determined by speakers' shared encyclopaedic knowledge and sensorimotor experience and which are mapped onto a small set of abstract event schemata that 'predesign' thematic configurations. The discourse context, which also provides the syntactic context, either meets or models our expectations as to the context-free readings. In the latter case, new (metaphorical) readings are contextually created. These configurations are not arbitrary either because the meanings of verbalized nouns should always be (a) in a relation of contiguity to the base-noun concepts and (b) compatible with the semantics of the syntactic constructions. Dieser Beitrag ist ursprünglich im Peter-Lang-Verlag erschienen (https://www.ingentaconnect.com/contentone/plg/jwf/2022/00000006/00000002/art00001)

Cognitive maps of discourses of British conservative and Australian liberal political manifestos

The research endeavors to study and determine the influence of cognitive maps on production of political manifestos discourse. The research has been conducted in the framework of Sociocognitive Discourse Studies. The results show that discourse cognitive structure of British Conservative Party and Australian Liberal Party manifestos is characterized by different sets of cognitive maps on the level of communicative strategies and somewhat similar sets of cognitive schemas on the level of communicative tactics. Applying the method of interpropositional semantic analysis, the communicative strategy and communicative tactic of comparison was identified in Australian Liberal Party manifesto. Despite the close affinity between political discourses of the UK and Australia, there are significant differences in patterns of information organization in online manifestos of the ruling parties to engage the community and enhance persuasion.

SILENCING OF SELF AND DEPRESSION: A GENDER PERSPECTIVE

Background:Jack's self silencing theory is consequential in postulating how females form concepts about self, based on their relationships with valued others and if an attempt at it fails, then an extreme set of cognitive schemas ensues. These schemas are named as silencing of self. Jack has conjectured that silencing of self has purpose in manifestation and maintenance of depression. The manner in which it plays a role is different for both males and females, where initial theory and a plethora of research have found it to be higher in the later than in the former, while some have had contrary ndings. The existing pool of research does not give explorations of these variables in an Indian context. Therefore this study is a humble effort to make these inquisitions. Method: The study was conducted on the patients undergoing treatment for depression in Dayanand Medical College and Hospital. The study was undertaken involving 100 cases of depression and 100 healthy volunteers as controls after obtaining ethical clearance and informed consent of all the study subjects. Information was collected via predesigned questionnaires. All statistical calculations were done using SPSS 21 version statistical program for Microsoft Windows. Conclusion: Results showed that depressed subjects showed higher silencing of self as compared to their non-depressed counter parts. Overall, males showed higher silencing of self as compared to females.

Active Learning for Knowledge Graph Schema Expansion

Both entity typing and relation extraction from text corpora are widely used to identify the semantic types of an entity and a relation in a knowledge graph (KG). Most existing approaches rely on a pre-defined set of entity types and relation types in a KG. They thus cannot map entity mentions (relation mentions) to unseen entity types (relation types). To fundamentally overcome the limitations, we should add new semantic types of entities and relations to a KG schema. However, schema expansion traditionally requires manual conceptualization through a user’s observation on the text corpus while assuming the existence of suitable target KG schemas. In this work, we propose an <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</b> ctive learning framework for <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</b> nowledge graph <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</b> chema <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E</b> xpansion ( <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AKSE</b> ), which can generate a new semantic type for KG schemas, without depending on a set of target schemas and human users’ observation. Specifically, a granularity based active learning algorithm determines whether a KG schema requires new semantic types or not. We also introduce a KG schema attention-based neural method which assigns semantic types to the entities and relationships extracted. To the best of our knowledge, our work is the first study to expand a KG schema with active learning.

Review: Gordon Parks: The Flávio Story, edited by Paul Roth and Amanda Maddox

Review: <i>Gordon Parks: The Flávio Story</i>, edited by Paul Roth and Amanda Maddox

Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)

Structured Data Transformation Language (SDTL) provides structured, machine actionable representations of data transformation commands found in statistical analysis software. The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system that captures provenance metadata from data transformation scripts and adds variable derivations to standard metadata files. SDTL also has potential for auditing scripts and for translating scripts between languages. SDTL is expressed in a set of JSON schemas, which are machine actionable and easily serialized to other formats. Statistical software languages have a number of special features that have been carried into SDTL. We explain how SDTL handles differences among statistical languages and complex operations, such as merging files and reshaping data tables from “wide” to “long”.

Publication, Testing and Visualization with EFES: A tool for all stages of the EpiDoc XML editing process

"EpiDoc is a set of recommendations, schema and other tools for the encoding of ancient texts, especially inscriptions and papyri, in TEI XML, that is now used by upwards of a hundred projects around the world, and large numbers of scholars seek training in EpiDoc encoding every year. The EpiDoc Front-End Services tool (EFES) was designed to fill the important need for a publication solution for researchers and editors who have produced EpiDoc encoded texts but do not have access to digital humanities support or a well-funded IT service to produce a publication for them. This paper will discuss the use of EFES not only for final publication, but as a tool in the editing and publication workflow, by editors of inscriptions, papyri and similar texts including those on coins and seals. The edition visualisations, indexes and search interface produced by EFES are able to serve as part of the validation, correction and research apparatus for the author of an epigraphic corpus, iteratively improving the editions long before final publication. As we will argue, this research process is a key component of epigraphic and papyrological editing practice, and studying these needs will help us to further enhance the effectiveness of EFES as a tool. To this end we also plan to add three major functionalities to the EFES toolbox: (1) date visualisation and filter—building on the existing “date slider,” and inspired by partner projects such as Pelagios and Godot; (2) geographic visualization features, again building on Pelagios code, allowing the display of locations within a corpus or from a specific set of search results in a map; (3) export of information and metadata from the corpus as Linked Open Data, following the recommendations of projects such as the Linked Places format, SNAP, Chronontology and Epigraphy.info, to enable the semantic sharing of data within and beyond the field of classical and historical editions. Finally, we will discuss the kinds of collaboration that will be required to bring about desired enhancements to the EFES toolset, especially in this age of research-focussed, short-term funding. Embedding essential infrastructure work of this kind in research applications for specific research and publication projects will almost certainly need to be part of the solution. Keywords: Text Encoding, Ancient Texts, Epigraphy, Papyrology, Digital Publication, Linked Open Data, Extensible Stylesheet Language Transformations"

ADnEV

Schema matching is a process that serves in integrating structured and semi-structured data. Being a handy tool in multiple contemporary business and commerce applications, it has been investigated in the fields of databases, AI, Semantic Web, and data mining for many years. The core challenge still remains the ability to create quality algorithmic matchers, automatic tools for identifying correspondences among data concepts ( e.g. , database attributes). In this work, we offer a novel post processing step to schema matching that improves the final matching outcome without human intervention. We present a new mechanism, similarity matrix adjustment , to calibrate a matching result and propose an algorithm (dubbed ADnEV) that manipulates, using deep neural networks, similarity matrices, created by state-of-the-art algorithmic matchers. ADnEV learns two models that iteratively adjust and evaluate the original similarity matrix. We empirically demonstrate the effectiveness of the proposed algorithmic solution for improving matching results, using real-world benchmark ontology and schema sets. We show that ADnEV can generalize into new domains without the need to learn the domain terminology, thus allowing cross-domain learning. We also show ADnEV to be a powerful tool in handling schemata which matching is particularly challenging. Finally, we show the benefit of using ADnEV in a related integration task of ontology alignment.

Exploring why leaders do what they do: An integrative review of the situation-trait approach and situation-encoding schemas

In order to enhance leaders' effectiveness, it is critical to clearly and accurately understand the underlying processes that contribute to leaders' decision making and behavior. The traditional trait approach to understanding leaders' underlying processing carries limitations and does not capture any of the situational characteristics that may be important. We thus advance the situation-trait approach by introducing the Cognitive Affective Processing Systems framework more fully into the leadership domain. A primary benefit of integrating this framework is that it identifies an attribute largely overlooked by leadership scholars, yet foundational to leaders' processing and behaviors: situation-encoding schemas. We integrate and review decades of research on four sets of situation-encoding schemas to demonstrate their important role in determining why leaders do what they do. This consensus shift, novel focus on situation-encoding schemas, and integration of four disparate sets of well-studied situation-encoding schemas has important implications for leaders' self-awareness, meta-cognition, effectiveness, and development.

Data schemas for multiple hazards, exposure and vulnerability

PurposeUsing risk-related data often require a significant amount of upfront work to collect, extract and transform data. In addition, the lack of a consistent data structure hinders the development of tools that can be used with more than one set of data. The purpose of this paper is to report on an effort to solve these problems through the development of extensible, internally consistent schemas for risk-related data.Design/methodology/approachThe consortia coordinated their efforts so the hazard, exposure and vulnerability schemas are compatible. Hazard data can be provided as either event footprints or stochastic catalogs. Exposure classes include buildings, infrastructure, agriculture, livestock, forestry and socio-economic data. The vulnerability component includes fragility and vulnerability functions and indicators for physical and social vulnerability. The schemas also provide the ability to define uncertainties and allow the scoring of vulnerability data for relevance and quality.FindingsAs a proof of concept, the schemas were populated with data for Tanzania and with exposure data for several other countries.Research limitations/implicationsThe data schema and data exploration tool are open source and, if widely accepted, could become widely used by practitioners.Practical implicationsA single set of hazard, exposure and vulnerability schemas will not fit all purposes. Tools will be needed to transform the data into other formats.Originality/valueThis paper describes extensible, internally consistent, multi-hazard, exposure and vulnerability schemas that can be used to store disaster risk-related data and a data exploration tool that promotes data discovery and use.

Applying PLU Rules on Different BIM/GIS Interoperability Approaches

Compliance checking for building models, cities and territories involves formalizing a set of model schemas and constraints. In this context, we aim to achieve two goals: (1) achieve semantic interoperability between BIM (IFC) and GIS (CityGML), which help us represent building information in its details and its surrounding environment; (2) adapting of PLU rule into semantic queries. In this article, we will introduce (A) BIM and GIS interoperability approaches , and (B) connecting the interoperable models, with PLU levels. Our approach addresses (Prob1) interoperability between IFC and CityGML on building scale model, and (Prob2) the correlation between PLU rules and the multiscale model.

Exploring Consciousness: The Online Community’s Understanding of Mobile Technology Surveillance

This paper examines subjective understandings and experiences of mobile technology surveillance, an area of surveillance studies literature that is significantly underexplored in North America. Drawing on Ewick and Silbey’s (1998) popular socio-legal conception of legal consciousness, the paper constructs a similar concept in the domain of surveillance. Surveillance consciousness of two mobile surveillance technologies—drones and Stingrays—is explored through online data. Upon analyzing reactions to surveillance, the paper expounds on the complexities found therein, which conform to Ewick and Silbey’s tripartite set of schemas. Such complexities contribute to surveillance studies by addressing whether prevalent theoretical models of surveillance can be sufficiently used to capture the current surveillance society. In its entirety, this paper demonstrates how surveillance and socio-legal studies benefit from greater dialogue and cross-fertilization.