Form Of Representation Research Articles

ANALYTICAL DESCRIPTION AND ALGORITHM OF CALCULATIONS OF MECHANICS OF STRUCTURES WITH BERNOULLI – EULER BEAMS USING SCAS KIDY

The problems of developing a universal analytical description and algorithm for automatic computer calculations of dynamics, statics and kinetostatics of mechanical models of structures including a beam lattice are considered. This can be calculations of transient processes, steady-state free and forced oscillations, determination of equilibrium positions and stress-strain states under static and dynamic loads, etc. The structure itself can be flat or spa- tial, stationary or moving on a plane or in space. Various instruments and devices can be attached to it. Arbitrary connections can be taken into ac- count. It is shown how it is possible to succinctly, using a special language for preparing computer data, analytically describe a part of a structure rep- resenting a beam lattice. Based on the theory of elasticity of Bernoulli-Euler beams, 2 forms of the canonical representation of the potential energy of an elastic beam are obtained. This makes it possible to introduce into the language of description of mechanical models of the special computer algebra system KiDyM (SCAS KiDyM) a new beam element, for which the position of the coordinate systems associated with the extreme sections is indi- cated. The positions of these sections are determined by lattice nodes, like solid bodies. Angular and linear coordinates of such solid bodies give gen- eralized coordinates of the mechanical model. An algorithm has been developed for the formation of elements adopted to describe mechanical models in SCAS KiDyM. Thus, the elastic structure of the mechanical model is formed. Using the available tools in this program, equations of dynamics and statics are automatically constructed, that is, a mathematical model is formed, and dynamic and static calculations can be carried out. The proposed method is demonstrated in detail on the example of calculating the deformation of an elastic lattice, with is the basis of a UAV (unmanned aerial vehi- cle). The results are compared with calculations using the ANSYS program

Reconfigurable flexible assembly model and implementation for cross-category products

As the production orders are becoming multi-category and small-batch in the era of product personalization, these require frequent reconfiguration of reconfigurable flexible assembly system for cross-category products (RFAS-CCP). However, there is no suitable theoretical assembly model and systematic implementation framework. We first propose a five-element assembly model (FAM) for RFAS-CCP, i.e. product, process, resource, knowledge, and decision. The product, process, and resource element describe the objects, steps to be assembled, and the tools, fixtures, and other equipment used for assembly, respectively. The knowledge element is a form representation of various heterogeneous data, such as a knowledge graph. The decision element includes various assembly methods to achieve assembly automation, flexibility, and intelligence. Then, in order to standardize and easy the frequent reconfiguration process, we reorganize various decision methods into a three-phase systematic implementation framework according to which stage they are used: design, configuration, and operation phases. The design phase methods primarily design various assembly modules for a product family, forming an assembly resource library. The configuration phase methods primarily configure suitable assembly lines for a specific product in the product family. The operation phase methods monitor the status of the assembly line and ensures its stable operation through health management. Finally, the effectiveness and practicality of the proposed five-element assembly model and three-phase systematic implementation framework are experimented with a pressure reducing valve product.

Error is a number, parameter or probability distribution

The problem of the format (the form of representation by difference, scattering parameter, distribution) of the characteristics of the accuracy of the results in solving measurement problems in terms of the theory of errors and the concept of uncertainty is considered. It is shown that for the error as a difference, the key question is the uncertainty of the so-called true value. For measurement uncertainty, when switching to estimating the scattering parameter based on a set of repeated measurements and getting rid of the adjective true, a number of key issues of a different plan arise – the lack of logic of statistical inference, the inconsistency of the term “confidence level” with the term “confidence probability” in state verification schemes and the practical uselessness of measurement uncertainty characteristics in risk analysis tasks. However, the endless improvement of measurement methods and tools in the theory of errors and an unlimited amount of information for a complete description of the measured value in the concept of uncertainty is a common defect of both approaches, only in other words. Conceptually, the transition from error to uncertainty is an intermediate stage to the representation of accuracy characteristics by probability distributions. A brief overview of the transformation of the point of view of international metrology on this issue is given. The evaluation of the accuracy of the results is presented as a structural-parametric identification of the drift of metrological characteristics of measuring instruments and standards, as well as metrological certification of methods for solving measurement problems in the cross-observation scheme in terms of probability distributions. This allows you to get rid of the problems of incompleteness of other formats for representing accuracy characteristics. The most complete characterization of accuracy for the theory of errors and the concept of uncertainty is the format of the probability distribution. However, the endless improvement of measurement methods and tools in the theory of errors and an unlimited amount of information for a complete description of the measured value in the concept of uncertainty is a common defect of both approaches, only in other words. Conceptually, the transition from error to uncertainty is an intermediate stage to the representation of accuracy characteristics by probability distributions. A brief overview of the transformation of the point of view of international metrology on this issue is given. The evaluation of the accuracy of the results is presented as a structural-parametric identification of the drift of metrological characteristics of measuring instruments and standards, as well as metrological certification of methods for solving measurement problems in the cross-observation scheme in terms of probability distributions. This allows you to get rid of the problems of incompleteness of other formats for representing accuracy characteristics. The most complete characteristic of accuracy for the theory of errors and the concept of uncertainty is the format of the probability distribution.

Parallel gain modulation mechanisms set the resolution of color selectivity in human visual cortex.

Color discrimination is fundamental to human behavior. We find bananas by coarsely searching for yellow but then differentiate nuances of yellow to pick the best exemplars. How does the brain adjust the resolution of color selectivity to our changing needs? Here, we analyze the brain magnetic response in the human visual cortex to show that color selectivity is adaptively set by coarse- and fine-resolving processes running in parallel at different hierarchical levels. Those include a gain enhancement in the higher-lever cortex of color units tuned away from the target to resolve very similar colors and a coarsely resolving gain enhancement in the mid-level cortex of units tuned to the target. Our findings suggest that attention operates on a form of multiresolution representation of color at different levels in the visual hierarchy, which keeps selectivity adaptive to a changing resolution context.

Filmic and other forms of historical representation in the history classroom: ancient Sparta

The aim of the present research was to examine whether a film is considered a more accurate source of knowledge about historical times when it is compared to the graphic novel it was inspired by, a poem and primary historical sources that deal with the same events depicted in the film. For that purpose, we used the film 300, which depicts the battle of Thermopylae and the Spartan agogi, as well as the role of the ephors in the Spartan political system. The data analysis validated that the cinematic representation is considered the most accurate and pedagogically appropriate representation of the past by the students, even though the limitations of the medium are thoroughly demonstrated in the classroom.

Developmet of Android E-book Forms of Energy to Improve Students' Critical Thinking and Mathematical Representation Skills

Critical thinking and mathematical representation skills play an important role for students, especially in physics. This research’ aims are to study the feasibility and effectiveness of the android e-book forms of energy to improve students' critical thinking and mathematical representation skills. This research was developed using the ADDIE model. The experimental design was one group pretest posttest. This research found that the E-book were feasible to be applied in physics learning. It content qualify the writing and content requirements for a physics E-book. The android e-book is effective for improving students' ability in interpretation and explanation, effective enough in analyze, and less effectively in the inference and argument and evaluation aspects. E-book is less effective in the aspect use pictures, graphs, tables, or diagrams to solve problems and effective enough in training students use symbols or mathematical equations in solving problems and explain data or other representations in sentence form. The global N-Gain value shows that the Android e-book forms of energy is effective enough to improve critical thinking and mathematical representation skills.

EVOLVING MASCULINITY: A STUDY OF BODY POSITIVITY IN MEN

If we are to understand why it is so rare and what the future holds, the topic of body positivity in males has evolved into a complex one that requires discussion. Men frequently encounter irrational expectations that result in body dissatisfaction and a low sense of self- worth in todays society, when media representations of the ideal male form and gender stereotypes predominate. The medias depiction of the ideal male body, which is characterized by muscular proportions and low body fat, is a major reason man are not positive about their bodies. These restrictive rules put pressure on men to conform, which can cause body dissatisfaction and a decrease in self- esteem. Furthermore, the traditional gender roles of men and women indicate the idea that men should be portrayed as strong, stoic, and emotionally controlled, which discourages open conversations about body image issues and the need for assistance. The psychological and mental toll it takes on a person can cause various issues in men, both physically and mentally. It may be caused by constant pressure to meet these standards. Feelings of inadequacy and dissatisfaction can also be a contributing factor. It can lead to chronic problems in life. The most important part of maintaining a healthy state of mind is managing these body image concerns. In men, theres a lot of ways to support positive body image. Through education and awareness programs, these programs challenge harmful beauty norms and promote positive body image. Resources and workshops to help men reject outdated ideas and accepting body positivity need to be provided by schools, organizations, and communities. Its critical that we dismantle obstacles when it comes to mens body image. The secret to building an environment where guys can talk about their issues and receive assistance without fear of judgment is to have open dialogues about topics like how they feel about their bodies and mental health. Social media can also be a useful tool for promoting campaigns that celebrate the diversity of peoples bodies and for sharing fascinating tales that people can relate to.

PSO based linear parameter varying-model predictive control for trajectory tracking of autonomous vehicles

In this paper, Linear Parameter Varying-Model Predictive Control (LPV-MPC) for trajectory tracking for Autonomous Vehicles (AVs) is proposed. This method is based on the time-varying LPV is the form of the state space representation from the mathematical model of the vehicle. The LPV representation form which uses the dynamic model of the vehicle allows the incorporation of time-varying dynamics, providing a more accurate representation of the vehicle's behavior. The designed LPV-MPC controller for AVs is specifically designed to handle constraints in trajectory tracking. To enhance its performance, Particle Swarm Optimization (PSO) is employed as an optimization technique. PSO is used to tune the weighting matrices of the control parameters, optimizing the system response and improving trajectory tracking performance. To evaluate the effectiveness of the LPV-MPC system, extensive simulations are conducted and results are compared with Linear and Non-Linear MPCs. The main benefit of using the LPV-MPC method is its ability to calculate solutions almost as good as the non-linear MPC version yet significantly reducing the computational cost. The capability of the LPV-MPC controller as compared to the linear version is in its effective tracking, particularly for the non-linear reference trajectories.

An open-source MATLAB toolbox for 3D block cutting and 3D mesh cutting in geotechnical engineering

This study presents a simple approach and its associated MATLAB toolbox for 3D block cutting and mesh cutting. The approach is suitable for the meshes of numerical methods including the Key Block Theory (KBT), the Discontinuous Deformation Analysis (DDA), the Numerical Manifold Method (NMM), and the cut Finite Element Method (Cut-FEM). The strategy is based on calculations on convex bodies. It uses two different forms of representation: the geometric representation which includes vertices and faces, and the algebraic representation which consists of inequalities. The cutting was implemented on the algebraic representation, and the resulting inequalities were converted into a geometric representation. The above strategy turned out to be robust and straightforward to execute, at the cost of a general body being regarded as a combination of convex bodies. The efficiency guarantee was considered through pre-checking algorithms. The source code was provided, as well as some simple examples.

The Cognitive Architecture of Infant Attachment.

Meta-analytic evidence indicates that the quality of the attachment relationship that infants establish with their primary caregiver has enduring significance for socioemotional and cognitive outcomes. However, the mechanisms by which early attachment experiences contribute to subsequent development remain underspecified. According to attachment theory, early attachment experiences become embodied in the form of cognitive-affective representations, referred to as internal working models (IWMs), that guide future behavior. Little is known, however, about the cognitive architecture of IWMs in infancy. In this article, we discuss significant advances made in the field of infant cognitive development and propose that leveraging insights from this research has the potential to fundamentally shape our understanding of the cognitive architecture of attachment representations in infancy. We also propose that the integration of attachment research into cognitive research can shed light on the role of early experiences, individual differences, and stability and change in infant cognition, as well as open new routes of investigation in cognitive studies, which will further our understanding of human knowledge. We provide recommendations for future research throughout the article and conclude by using our collaborative research as an example.

Local Tax Optimization Strategy In Jambi City: A Literature Review

This scientific paper seeks to evaluate the ability of local taxation as a source of income, the level of tax participation and the efficiency of the tax collection mechanism in Jambi City budget 2018-2022. The analytical methodology used in this research includes descriptive and qualitative approaches. Descriptive analysis incorporates computational methods that are illustrated in the form of numerical data, tabulations, and graphical representations. In the meantime, the qualitative aspects include conducting intense interviews that are analyzed using SWOT. Based on the findings from the analysis of local tax effectiveness covering from 2011 to 2023, it reveals that the efficiency of local taxation shows variability in different years. Based on existing literature and comparisons between studies that have been conducted, tax optimization can be carried out in Jambi City in line with the principle of fiscal decentralization in regional autonomy by enforcing regulations to ensure the creation of sustainable development and economic growth. Some of the things that can be done are increasing tax compliance, digitalization and simplifying the tax structure. This discussion produces input to the Jambi City Government to explore the potential of local revenue, which influences the growth of Regional Own-Source Revenue (PAD). Therefore, optimal development can lead to positive outcomes for the community, such as the economic growth of people in Jambi City and the optimization of tax revenue.

Against observation: the panoramic legacy of Sergei Loznitsa

ABSTRACT Critical reception of Ukrainian director Sergei Loznitsa’s documentary films typically concludes that the director privileges observational techniques to depict historical events and political movements, resulting in conflicting judgements on his films’ significance and reducing Loznitsa’s own involvement in the depicted events. This article addresses the techniques and visual grammar of Loznitsa’s 2014 film Maidan and challenges the film’s status as an example of the observational documentary mode. This article proposes approaching Maidan through a recognition of the influence of the panorama on realist representation from its inception in the late eighteenth century to its transformation of cinema in the twentieth century, showing how Loznitsa has developed a panoramic filmmaking language since his early short films. Maidan contrasts the ideas of objectivity and passivity typically assigned to observational films by constructing a historical narrative about the events that occurred in Kyiv’s Maidan Nezalezhnosti during the Euromaidan movement of 2013–2014. This renegotiation of Loznitsa’s filmmaking mode reveals Maidan’s unique contribution to non-fiction representational forms as well as to narratives of national identity within the post-Soviet context.

Confronting the Lippmann–Schwinger equation and the [formula omitted] method for coupled-wave separable potentials

We study a family of separable potentials with and without added contact interactions by solving the associated Lippmann–Schwinger equation with two coupled partial waves. The matching of the resulting amplitude matrix with the effective-range expansion is studied in detail. When a counterterm is included in the potential we also carefully discuss its renormalization. Next, we use the matrix N/D method and study whether the amplitude matrices from the potentials considered admit an N/D representation in matrix form. As a novel result we show that it is typically not possible to find such matrix representation for the coupled partial-wave case. However, a separate N/D representation for each coupled partial wave — a valid option known in the literature — is explicitly implemented and numerically solved in cases where the matrix N/D method is unavailable.

Form, criticality, and humanity: topic modeling the field of literary studies for English education

PurposeResearch on disciplinary literacy in English has struggled with how to represent large-scale disciplinary communities and consider issues of justice and power. The purpose of this study is to offer insights into the disciplinary practice of a community of literary scholars.Design/methodology/approachUsing statistical topic modeling augmented with complementary qualitative analysis and interpretive rhetorical analysis, the authors describe patterns in a corpus of 4,039 articles published in the year 2018 and drawn from 215 peer-reviewed literary journals, a corpus comprising 15.5 million words.FindingsAnalysis suggests that contemporary literary scholars collectively build knowledge that considers diverse matters of form, including literary and linguistic forms, literary works and other representational forms; criticality, including critical theories and critical concepts; and humanity, including humanistic themes, human institutions and people/places.Originality/valueThis manuscript offers detail about the nature of contemporary literary scholarship as evident through linguistic patterns in and across published works.

Schrödinger equation with finitely many $$\delta $$-interactions: closed form, integral and series representations for solutions

Schrödinger equation with finitely many $$\delta $$-interactions: closed form, integral and series representations for solutions

Boosting the performance of molecular property prediction via graph–text alignment and multi-granularity representation enhancement

Deep learning is playing an increasingly important role in accurate prediction of molecular properties. Prior to being processed by a deep learning model, a molecule is typically represented in the form of a text or a graph. While some methods attempt to integrate these two forms of molecular representations, the misalignment of graph and text embeddings presents a significant challenge to fuse two modalities. To solve this problem, we propose a method that aligns and fuses graph and text features in the embedding space by using contrastive loss and cross attentions. Additionally, we enhance the molecular representation by incorporating multi-granularity information of molecules on the levels of atoms, functional groups, and molecules. Extensive experiments show that our model outperforms state-of-the-art models in downstream tasks of molecular property prediction, achieving superior performance with less pretraining data. The source codes and data are available at https://github.com/zzr624663649/multimodal_molecular_property.

PENGGUNAAN MEDIA SOFTWARE GEOGEBRA UNTUK MENINGKATKAN KEMAMPUAN REPRESENTASI MATEMATIS SISWA SMA

Mathematical representation ability is an important ability in understanding mathematical concepts as an effort to obtain clarity of meaning and understanding in solving problems. Technology-based learning media can simplify the learning process thereby helping students in representing mathematical problems. This research aims to determine the increase in students' mathematical representation abilities using Geogebra software. This research is quantitative research with a quasi-experimental type. The population is students of class XI MIPA at SMA Negeri 1 Lhoong Aceh Besar for the 2023/2024 academic year consisting of 2 classes totaling 60 people. There are 30 people in Class XI MIPA 1 as an experimental class with the Geogebra software learning media, and 30 people in XI MIPA 2 as a control class without the Geogebra program learning media. The data collection technique in this research is using Pretest and Posttest. Meanwhile, the data analysis techniques used in this research are descriptive statistical analysis and inferential statistical analysis. The results of the research showed that there was an increase in students' mathematical representation abilities who were taught using Geogebra software media in class XI MIPA students at SMA Negeri 1 Lhoong. Most students answered the questions according to indicators of mathematical representation ability in the form of visual, symbolic and verbal representations.

The eigenfunctions method in relation to diffuse reflection problems of the radiative energy transfer theory

Using the new method proposed earlier by the author, a solution of diffuse reflection problem is given in this report. A case of diffuse reflection of radiation from a semi-infinite absorbing and isotropically reflecting medium is presented, when in the elementary act of scattering there is a general law of redistribution of radiation by frequencies. In the approach presented here, conventionally called the method of ”decomposition of the resulting field” - DRF, in contrast to the previously widely used traditional method of ”decomposition of a single act” of scattering - DSA, the problem of diffuse reflection is solved without the use of any decomposition or special representation of the characteristic of the elementary act of scattering, i.e., the redistribution function of radiation by frequencies. The resulting radiation field, formed in the medium by means of multiple scatterings, is sought and constructed directly in the form of a bilinear series through a specially derived system of its own eigenfunctions. The physical basis of this approach lies in the fact that after each successive act of scattering, the field formed in the medium becomes more and more smoothed, so its direct representation in a decomposed form is more expedient than the traditionally used decomposition of a pre-known ”unsmoothed” characteristic of the elementary act of scattering.

Bonds not Claims. Political Representation as a form of Political Relationship

In the article, I argue that Michel Saward’s popular approach to political representation leads to its particularly problematic understanding as a potentially coercive form of political relationship. Drawing primarily on the experiences of feminist theorists, I argue that beyond analyzing the mechanism of ‘claim-making’, it is also ethically necessary to consider the possibilities and consequences of ‘claim-breaking’. Situations where political representation is broken illustrate how even institutionalized forms of representation often stem from the emotional needs of specific individuals, which politicians cynically exploit. To illustrate this, I utilize and critically assess Saward’s general explanatory model, analyzing the example of Donald Tusk’s resignation from the position of Prime Minister of Poland to assume the role of President of the European Council.

Strategi Pembelajaran IPA pada Peserta Didik dengan Menggunakan Metode Pembelajaran Project Based Learning (JPBL)

Project-Based Learning is a learning model that uses projects as the core of learning (Permendikbud, 2014:20). This learning model is an innovative learning model that involves project work where students work independently in constructing their learning and culminating it in real products (Nanang Hanafiah and Cucu Suhana, 2009:30). Project Based Learning learning model is a learning strategy where students must build their own content knowledge and demonstrate new understanding through various forms of representation (NYC Department of Education 2009:8). characteristics of the PJBL Learning Model The Project Based Learning, learning model was developed based on the level of development of students' thinking, centered on students' learning activities so as to enable them to carry out activities according to their skills, comfort and learning interests. This model gives students the opportunity to determine for themselves the project they will work on, both in terms of formulating questions to be answered, choosing topics to research, and determining research activities to be carried out. The teacher's role in learning is as a facilitator, providing materials and work experience, encouraging students to discuss and solve problems, and ensuring students remain enthusiastic while they carry out the project. Keywords: project-based learning model