Form Of Representation Research Articles

Social platforms as Tools for Inclusive Pedagogy: Case of Perusall for Collaborative Reading

Extant literature is replete on the importance of inclusive pedagogy, which is crucial in engaging every student irrespective of their background to have access to knowledge. Although social platforms like Perusall aim at collaborative reading and enhance students’ engagement in reading, literature is sparce on the extent to which these tools accommodate the learning needs of diverse learners. This study is a contribution to close the gap by exploring the Perusall website, research reports on Perusall, and the author’s personal experience with Perusall to determine features of the platform that can contribute to diverse learners engaging in collaborative reading. This paper focuses on features in Perusall that can enhance accommodation of learning needs for diverse learners and discusses how instructors can be intentional in leveraging the features to be inclusive for collaborative reading and learning in diverse learners. The paper highlights the features of Perusall that instructors can leverage through the lens of Universal Design for Learning that defines multiple forms of representations, engagement, and actions at the core of inclusive pedagogy.

Modular forms for the Weil representation induced from isotropic subgroups

For an isotropic subgroup H of a discriminant form D there exists a lift from modular forms for the Weil representation of the discriminant form H⊥/H to modular forms for the Weil representation of D. We determine a set of discriminant forms such that all modular forms for any discriminant form are induced from the discriminant forms in this set. Furthermore for any discriminant form in this set there exist modular forms that are not induced from smaller discriminant forms.

An ecological inference approach to the origins of proportional representation

Facing a prospective majority of socialists during the early third of the 20th century, some secular conservative and liberal parties pooled their votes to raise the majority threshold for the left, while others raised it by enacting some form of proportional representation. We use vote transfers, estimated by a new method of ecological inference, to explain those far-reaching choices. We provide a new conceptualization and measurement of the segmentation of the electoral market to test a proposition within the Boix-Rokkan framework: proportional representation reform was chosen when vote transfers foretold coalition failure. To substantiate our claim, we investigate two most similar cases, Denmark during 1910–1918 and New Zealand during 1928–1931, that diverged in the explanatory variable and in the response.

Street Performances and Poverty: A Literature Review

AbstractPoverty persists as an enduring global dilemma, and Indonesia epitomizes this challenge with a significant number of its populace ensnared in its grasp. The intricate relationship between poverty and busking further underscores the pervasive nature of socio-economic struggles. The term 'buskers' refers to those who choose the streets as their stage, a phenomenon observable across the archipelago, spanning from Sabang to Merauke. However, the evolution of this community has taken an interesting trajectory over time. Beyond conventional musical renditions and sidewalk performances, contemporary Indonesian buskers have diversified their expressions, branching into novel forms of artistic representation. Yet, this transformation does not necessarily mirror prosperity. In stark contrast to their international counterparts, the socio-economic predicament faced by Indonesian buskers remains unresolved. This article delves into an exploration of pertinent literature on busking, aiming to establish correlations between this artistic pursuit and the achievement levels of Sustainable Development Goals (SDGs) 1 and 8. Specifically focusing on the DKI Jakarta Province, the inquiry seeks to unravel the intricate dynamics at play and discern potential pathways towards addressing the socio-economic challenges intertwined with the practice of busking in Indonesia.Keywords: Poverty, Buskers, Indonesia, Sustainable Development Goals (SDGs)

Analisis Kesulitan Memahami Konsep Matematis Ditinjau dari Kemampuan Metakognisi Siswa Pada Siswa Kelas X SMA Negeri 1 Sibolga

This research aims to understand how difficulties in understanding mathematical concepts are related to the metacognitive abilities of class X students at SMA Negeri 1 Sibolga for the 2023/2024 academic year. The research method used in this study is descriptive qualitative. The research subjects consisted of 32 students of class X MIA 2. Data collection was carried out through the use of questionnaires and tests as research instruments. The results of the research show that students with very high metacognitive abilities are able to fulfill all indicators completely, such as restating the concepts studied, classifying objects based on the requirements that form the concept, identifying the properties of operations or concepts, applying concepts logically, providing examples or are not examples of concepts that have been studied, and present concepts in various forms of mathematical representation. Students with high metacognitive abilities are only able to fulfill five of the six existing indicators. Meanwhile, students with moderate metacognitive abilities can only fulfill one indicator, namely providing examples or non-examples of the concepts they have studied

Optimal quadratic full state feedback control of nonlinear affine systems

The solution of the optimal quadratic full-state feedback closed-loop control of a nonlinear affine system problem is presented and solved. This solution uses the State-Dependent Coefficient (SDC) form of a nonlinear system and the Calculus of Variations. Further, it is shown that this solution enables the computation of the value function associated with the respective Hamilton-Jacobi-Bellman equation thus satisfying the necessary and sufficient conditions for optimality. The use of the SDC form representation in the optimal solution for a nonlinear affine system results in an explicit and exact full-state feedback closed-loop control implementation as opposed to the existing open-loop solutions of the optimal control. This solution, like for the linear case, is non-causal and thus cannot be solved in real-time. The closed-loop application involves precomputing a time-varying full-state feedback matrix. The optimal feedback is a linear combination of the current state. The time-varying gain matrix is the backward solution of a non-symmetric matrix Riccati equation. Conditions for the stability of the full-state feedback are presented. This new representation of the optimal solution gives a well-understandable algorithm that enables implementation in the closed loop of the optimal feedback control of a non-linear system which is not possible with the existing optimal open loop representations.

Burnout syndrome, work ability, quality of life and physical activity in teachers during the COVID-19 pandemic in Campo Grande, Brazil.

School performance encompasses several forms of representation, and this has been identified as stressing factors with negative repercussions on teachers' health. In 2020 this scenario was affected by the COVID-19 pandemic, with yet unknown consequences on teachers' health. Our hypothesis is that the disease affected both the quality of life and work ability of teachers. To identify the association between burnout syndrome, work ability, quality of life and physical activity in basic education teachers during the COVID-19 pandemic in the city of Campo Grande, Brazil. Data collection took place from April 2020 to April 2021 through an online form linked to Google Forms. Quality of life was measured using the WHOQOL-bref, Work Ability through Work Ability Index (WAI) and burnout syndrome aspects through MBI-HSS. The association between variables was assessed by Pearson's correlation test with p < 0,05. Teachers self-rated their quality of life positively (good/very good = 55.9%), showed good (43,1%) or very good (27,7%) work ability, and had low emotional fatigue (41.6%), low depersonalization (75.7%) and high personal fulfillment (58.4%). The highest correlations indicate that the greater the emotional fatigue, the lower the WAI (r = - 0.60); and the higher the WAI, the higher the quality of life (all p < 0,05). The associations indicate that those teachers who showed greater emotional fatigue showed less ability to work. In addition, a negative association between emotional fatigue and physical, social and environmental domain of quality of life was also expressed, which may be relevant to the work environment.

Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements

The consortium of “The Future is in Applied Artificial Intelligence” Project designed the first competency-based applied artificial intelligence curriculum at the higher-education institution level. The development was based on advanced system research on existing artificial intelligence-related resources and surveying target groups of teachers, information technology students, and employers, which should enhance the performance of implementing artificial intelligence education. A review of applied artificial intelligence was prepared in the form of keyword clustering. The initial data were collected with the help of surveying by identifying job offers, existing artificial intelligence training courses, scientific projects, and real cases. A synthetic analysis of the textual information from the studies was conducted using the word clouds technique. A tensor-based approach was used for the presentation of the competency-based course. The specific numerical requirements for the course in the form of priorities followed from the solution to decision-making problems using the analytic hierarchy process technique. Based on a comprehensive study of surveys, educational experience, scientific projects, and business requirements, and a meta-analysis of the recent references, we specified the criteria for a training course in the form of a tensor-based representation of competencies in relation to content and educational modules.

PSYCHOLOGY OF DEVIANT FORMS OF ECONOMIC PERSONAL BEHAVIOR IN CYBERSPACE

The goal of the research achieved by the author is the analysis of psychological features of deviant forms of economic behavior of an individual in cyberspace. Methodology. To implement the problematic completeness of the research and obtain scientifically based and reliable results and general conclusions, a complex of theoretical methods was used: synthesis, logic and structure of the presentation, analysis and generalization, tools of scientific source studies. Linguistic methodology and the method of cognition were used to study the problematic issues of this work in the unity of their visual and factual perception, social content, legal and terminological form of representation. The systemic-structural approach made it possible to conceptually form, implement the theoretical foundations and model the complexity of the research discourse. Results. It is shown that human crime and delinquency are related to both external factors (interaction with other types of crime, age, gender, material values, influence of peers) and internal factors that mediate criminal tendencies. It was concluded that the specifics of deviant forms of individual economic behavior in cyberspace have not yet been sufficiently studied, and attention is focused on more common types of cyber deviance. Instead, the actual problems are the peculiarities of the formation of economic cyber deviance; the detection of a tendency to this type of behavior; planning correctional and educational psychological work with deviants and victims of economic cybercrimes. An important problem is the difficulty of conducting research taking into account the key feature of cyberspace - anonymity.

“Collecting Loose Change:” Conceptual Clarifications on Bias, Subjectivity, Positionality, Reflexivity, & Autoethnography in Leisure Research

With the rise of the acceptance, normalization, and increasing sophistication of qualitative research across the social sciences, there is a proliferation of paradigmatic approaches, methodologies, data generation methods, analytical techniques, and forms of representation. As qualitative methods continue to develop, expand, and hybridize, there is a need to conceptually clarify some of the “loose change” that has come with the rise of its legitimacy. In this essay, we build upon previous work advocating for a greater need for the use and conceptual clarification of trustworthiness in qualitative research to make an additional necessary call to encourage nuance when engaging with concepts that focus on the role of the self. We try to nuance the role(s) of articulating one’s place through declarations of bias, subjectivity, and positionality and the mechanisms for managing and/or understanding one’s place in the research vis-a-vis reflexivity as a process and/or autoethnography (methodology). In doing so, we call for the appropriate deployment of these techniques to align with the paradigmatic approach used in the research endeavor.

Evaluating special representation of non‐resident citizens: Eligibility, constituency and proportionality

AbstractSo far, 21 countries have introduced—and some thereafter withdrawn—reserved legislative seats for their citizens living abroad. Existing literature on this form of special representation has studied this topic either empirically or normatively. We bring these two approaches together based on the main dimensions of institutional variation of special representation: (1) eligibility, (2) constituency structure and (3) electoral proportionality. We first discuss each dimension from a normative perspective. In the second step, we map the range of empirical variation and highlight the most common arrangements. We conclude that the normative justification for special representation is generally weak, but some institutional configurations pose fewer problems. Specifically, we see fewer issues with special representation when electoral inclusion is limited to the first generation of emigrants and when it is used to limit the electoral influence of non‐resident populations that make up a large share of the overall electorate. By grounding our normative discussion on an empirical mapping, we bridge two disconnected literatures on special representation of non‐resident citizens.

Bipartite networks represent causality better than simple networks: evidence, algorithms, and applications.

A network, whose nodes are genes and whose directed edges represent positive or negative influences of a regulatory gene and its targets, is often used as a representation of causality. To infer a network, researchers often develop a machine learning model and then evaluate the model based on its match with experimentally verified "gold standard" edges. The desired result of such a model is a network that may extend the gold standard edges. Since networks are a form of visual representation, one can compare their utility with architectural or machine blueprints. Blueprints are clearly useful because they provide precise guidance to builders in construction. If the primary role of gene regulatory networks is to characterize causality, then such networks should be good tools of prediction because prediction is the actionable benefit of knowing causality. But are they? In this paper, we compare prediction quality based on "gold standard" regulatory edges from previous experimental work with non-linear models inferred from time series data across four different species. We show that the same non-linear machine learning models have better predictive performance, with improvements from 5.3% to 25.3% in terms of the reduction in the root mean square error (RMSE) compared with the same models based on the gold standard edges. Having established that networks fail to characterize causality properly, we suggest that causality research should focus on four goals: (i) predictive accuracy; (ii) a parsimonious enumeration of predictive regulatory genes for each target gene g; (iii) the identification of disjoint sets of predictive regulatory genes for each target g of roughly equal accuracy; and (iv) the construction of a bipartite network (whose node types are genes and models) representation of causality. We provide algorithms for all goals.

The Internet Doesn't Exist in the Sky: Literacy, AI, and the Digital Middle Passage

AbstractThis article utilizes speculative and visual storytelling alongside interdisciplinary research on artificial intelligence (AI) and algorithmic oppression to engage in a thought experiment on how literacy studies might refuse the oppressionist logics currently undermining the possibilities of AI in literacy education. As technological advancements in education will only continue to increase and as society is yet to ascertain the parameters of an ethical AI system, it is paramount to analyze the past and present and contemplate potential futures, especially those that do not result in violence against Black and Brown peoples. To engage in speculation, we employ Endarkened Storywork (Toliver, 2022) to present an empirically driven, futuristic, science fiction narrative from two perspectives: (1) a US, Black girl who is forced to participate in AI‐structured secondary schooling and (2) a Black girl in Haiti who is forced to live in a country polluted by technological byproduct. This narrative, which is grounded in academic research and news editorials, is accompanied by comic art and followed by a companion analysis detailing the theoretical backdrop of the story. By utilizing multiple methods of scholarly distribution, we provide multiple entry points for readers to engage with this work. We offer a means for readers to see—via story, art, and scholarship—the potential impacts of AI on Black people globally. Additionally, by situating this article in the creative and scholarly realms, we strategically deconstruct traditional forms and methods of knowledge production that have constrained academic research and rendered invisible alternative forms of data representation.

Moore matrices and Ulrich bundles on an elliptic curve

We give normal forms of determinantal representations of a smooth projective plane cubic in terms of Moore matrices . Building on this, we exhibit matrix factorizations for all indecomposable vector bundles of rank 2 and degree 0 without nonzero sections, also called Ulrich bundles , on such curves.

Ground state representation for the fractional Laplacian with Hardy potential in angular momentum channels

Motivated by the study of relativistic atoms, we consider the Hardy operator (−Δ)α/2−κ|x|−α acting on functions of the form u(|x|)|x|ℓYℓ,m(x/|x|) in L2(Rd), when κ≥0 and α∈(0,2]∩(0,d+2ℓ). We give a ground state representation of the corresponding form on the half-line (Theorem 1.5). For the proof we use subordinated Bessel heat kernels.

The mine, the community, and the chief–mining governance and community representation in conditions of legal pluralism

The corporate oxymoron “mine-hosting communities” implies a mutually beneficial relationship between mining companies and surrounding communities. This belies that many communities resist mining activities and downplays the salience of representation and decision-making power in mine-affected communities. Much mining occurs on lands of traditional communities, where mining companies often treat chiefs as uncontested representatives with decision-making power regarding communal lands, ignoring customary law’s nested and layered nature. Anthropological studies show that positions of traditional authority are currently highly contested due to chiefs capturing the spoils of land commodification and extractive resources. Concentrating on South Africa, this article explores how increasing contestation of the representative power of traditional authorities – in communities, the legislature, and the courts – impacts mining governance and studies the emergence, functioning and downfall of an alternative form of representation of traditional communities. It demonstrates how the hybridity of representative structures and the interaction of statutory and customary laws and institutions result in a configuration of legal pluralism that enables actors to skirt obligations of both legal registers. With its analysis of mining governance in South Africa, this article underscores the importance of a critical understanding of the complex and constantly renegotiated configurations of legal and institutional pluralism.

Enhancing design representations of information and knowledge of complex and long-living assets by applying system modelling techniques

AbstractManaging general domain knowledge and asset-specific information in the form of digital representations is especially important and challenging when focusing on long-living and complex assets. Implicit knowledge and existing structures need to be captured and digitalised, ideally without introducing unnecessary complexity through unfamiliar wording or new structures. To achieve this, a methodical approach that utilises ontologies as well as system modelling techniques and focuses on early-stage model instantiation is presented and applied to the cabin retrofit of aircraft

Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning.

The increased complexity and intelligence of automation systems require the development of intelligent fault diagnosis (IFD) methodologies. By relying on the concept of a suspected space, this study develops explainable data-driven IFD approaches for nonlinear dynamic systems. More specifically, we parameterize nonlinear systems through a generalized kernel representation for system modeling and the associated fault diagnosis. An important result obtained is a unified form of kernel representations, applicable to both unsupervised and supervised learning. More importantly, through a rigorous theoretical analysis, we discover the existence of a bridge (i.e., a bijective mapping) between some supervised and unsupervised learning-based entities. Notably, the designed IFD approaches achieve the same performance with the use of this bridge. In order to have a better understanding of the results obtained, both unsupervised and supervised neural networks are chosen as the learning tools to identify the generalized kernel representations and design the IFD schemes; an invertible neural network is then employed to build the bridge between them. This article is a perspective article, whose contribution lies in proposing and formalizing the fundamental concepts for explainable intelligent learning methods, contributing to system modeling and data-driven IFD designs for nonlinear dynamic systems.

Social domain integrated semantic self-discovery method for recommendation

Recommender systems effectively improve the convenience for users to access interesting information from vast amounts of data resources. However, the issue of data sparsity significantly impacts recommendation performance. Heterogeneous information network (HIN), as a form of heterogeneous graph data representation, remarkably enhances recommendation performance. Despite this, current HIN-based recommendations insufficiently consider the social attributes and multidimensional interaction information of users. Additionally, the problem of expert experience dependence on extracting semantic features leads to limited generalization performance. To address these issues, we propose the social domain integrated semantic self-discovery method for recommendation (SSRec). This method constructs a social domain information fusion network to fuse multidimensional interaction information of users in the social domain and designs a multidimensional semantic knowledge mining method to extract semantic knowledge of different meta-paths. We also propose a semantic relationship self-discovery method of heterogeneous nodes that utilizes deep reinforcement learning to address the limited efficiency of traditional manual meta-paths selection. Simulation results show that the SSRec can effectively improve the recommendation performance compared with baseline methods, achieving high-precision recommendations.

Императорское Русское военно-историческое общество и формирование исторической памяти о военных событиях в начале ХХ века

This study analyses the ability and potential of the Imperial Russian Military Historical Society to influence the formation of historical memory of military events in Russian history in the early 20th century. The methodological basis is a synthesis of ideas from the interdisciplinary paradigm of memory studies, as well as comparative historical and typological historical methods. The author proceeds from the assumption that in the early 20th century, the Russian Military Historical Society was among the key actors in the formation of historical memory of significant events in military history. The extensive structure, large membership, broad local representation and various forms of commemoration allowed the society to participate in the process of selecting acts of remembrance of military events and figures as well as assigning certain meanings to them. The study identified difficulties in implementing a number of commemorative projects, such as insufficient financial support and conflicts between the central and local offices as well as between the society’s members. The author comes to the conclusion that, despite the organizational and financial problems, the Russian Military Historical Society during its short period of existence has made a significant contribution to preserving the memory of military campaigns, which is reflected in various forms of commemoration. In addition, the society has managed to earn a reputation and gain the trust of military historians. Turning to these topics not only expands our understanding of the mnemonic actors existing in the modern world, but also allows us to recreate the main directions of the policy of memory in the Russian Empire in the early 20th century. Further research into the commemorative projects of the Imperial Russian Military Historical Society, as well as its interactions with other actors, seems promising.