Simultaneous Representation Research Articles

The PCovR biplot: a graphical tool for principal covariates regression

Biplots are useful tools because they provide a visual representation of both individuals and variables simultaneously, making it easier to explore relationships and patterns within multidimensional datasets. This paper extends their use to examine the relationship between a set of predictors X and a set of response variables Y using Principal Covariates Regression analysis (PCovR). The PCovR biplot provides a simultaneous graphical representation of individuals, predictor variables and response variables. It also provides the ability to examine the relationship between both types of variables in the form of the regression coefficient matrix.

Reinforcement Learning with Decoupled State Representation for Robot Manipulations

Deep reinforcement learning has significantly advanced robot manipulations by providing an alternative solution for designing control strategies using raw images as direct inputs. While images offer additional environmental information, the end-to-end policy training manner (from image to action) requires simultaneous representation and task learning by the agent. This often necessitates a substantial number of interaction samples to achieve satisfactory policy performance. Previous works has attempted to address this challenge by learning a visual representation model that encodes the entire image into a low-dimensional vector before the policy training. However, since this vector contains both robot and object information, it inevitably introduces coupling within the state, which can mislead the policy training process. In this study, a novel method called Reinforcement Learning with Decoupled State Representation is proposed to effectively decouple robot and object information within the state representation. Experimental results demonstrate that the proposed method exhibits faster learning speed and achieves superior performance compared to previous methods across various robot manipulation tasks. Moreover, with only 3096 offline images, the proposed method successfully applies to real-world robot pushing tasks, which demonstrates its high practicability.

Studying the Simultaneous Visual Representation of Microgestures

Hand microgestures are promising for mobile interaction with wearable devices. However, they will not be adopted if practitioners cannot communicate to users the microgestures associated with the commands of their applications. This requires unambiguous representations that simultaneously show the multiple microgestures available to control an application. Using a systematic approach, we evaluate how these representations should be designed and contrast 4 conditions depending on the microgestures (tap-swipe and tap-hold) and fingers (index and index-middle) considered. Based on the results, we design a simultaneous representation of microgestures for a given set of 14 application commands. We then evaluate the usability of the representation for novice users and the suitability of the representation for small screens compared with a baseline. Finally, we formulate 8 recommendations based on the results of all the experiments. In particular, redundant graphical and textual representations of microgestures should only be displayed for novice users.

Hollow ion atomic structure and X-ray emission in dense hot plasmas

Hollow ion X-ray emission is of great interest in high-energy-density research, since negligible opacity allows studies from the interior of very dense objects. In this paper, ionization potential depressions of the isoelectronic sequences for single and double K-shell vacancies are obtained from a pure ab initio multiconfiguration Hartree–Fock simulation including exact exchange terms and finite temperature dense plasma effects. It is demonstrated that the simultaneous representation of these ab initio data in the form of a map of hollow ion X-ray transition energies enables identification of important steps in the matter evolution and ionization dynamics. Mapping along the isoelectronic sequence as a function of the pumping energy of a X-ray free electron laser also enables visualization of the impact of ionization potential depression on the pathways of hollow ion formation.

Structurally Invariant Higher-Order Ince-Gaussian Beams and Their Expansions into Hermite-Gaussian or Laguerre-Gaussian Beams

Paraxial beam modes, which propagate in space and focus without changing their transverse intensity pattern, are of great value for multiplexing transmitted data in optical communications, both in waveguides and in free space. The best-known paraxial modes are the Hermite-Gaussian and Laguerre-Gaussian beams. Here, we derive explicit analytical expressions for Ince-Gaussian (IG) beams for several first values of the indices p = 3, 4, 5, and 6. In total, we obtain expressions for the amplitudes of 24 IG beams. These formulae are written as superpositions of the Laguerre-Gaussian (LG) or Hermite-Gaussian (HG) beams, with the superposition coefficients explicitly depending on the ellipticity parameter. Due to simultaneous representation of the IG modes via the LG and HG modes, it is easy to obtain the IG modes in the limiting cases wherein the ellipticity parameter is zero or approaches infinity. The explicit dependence of the obtained expressions for the IG modes on the ellipticity parameter makes it possible to change the intensity pattern at the beam cross-section by continuously varying the parameter values. For the first time, the intensity distributions of the IG beams are obtained for negative values of the ellipticity parameter. The obtained expressions could facilitate a theoretical analysis of properties of the IG modes and could find practical applications in the numerical simulation or generation of such beams with a liquid-crystal spatial light modulator.

The new psychopathological paradigm of schizophrenia and schizophrenia spectrum disorders

The basis of the new paradigm, as an attempt to modernize the systematics of psychopathological disorders, is the concept of simultaneous representation of two relatively independent domains (founded by neurobiological processes) in the clinical space of schizophrenia - negative and positive disorders. The study established the spectra of functional activity of endogenous dimensions, as well as the trajectories of their development, which determine the dominance of predominantly negative or positive symptoms (negative/positive schizophrenia) during the course of the disease. The differentiated impact of endogenous domains on constitutional characterological structures accompanied by the formation of pseudopsychiopathies and subpsychotic personality disorders is observed.

Clinical systematics of chronic delusional psychoses in schizophrenia and schizophrenia-spectrum pathology

To develop a systematics of chronic delusional psychoses in schizophrenia and pathology of the schizophrenic spectrum that takes into account psychopathological structure (the mechanism of delusional formation) and the trajectories of the disease course (the ratio of negative/positive dimensions). The study sample was recruited from the large Moscow psychiatric hospital in 2019-2024 and included 126 patients (94 male, 32 female, mean age 36.5±12.1 years) hospitalized with ICD-10 diagnosis of paranoid schizophrenia (F20.00) or delusional disorder (F22). A clinical-psychopathological method was used. The study identifies three variants of paranoid domains, the typology of which takes into account both the psychopathological structure and the trajectories of their development, which determine the dominance of predominantly negative or positive symptoms throughout the disease: 1) psychosis with delusional interpretations and predominant orientation of symptoms towards the negative pole of the schizophrenia psychopathology (n=37, 29.4%); 2) psychosis with hallucinatory delusions and predominant direction of symptoms towards the positive pole of the schizophrenia psychopathology (n=50, 39.7%); and 3) «combined» hallucinatory-delusional psychosis with a simultaneous orientation of symptoms to the negative/positive poles of the schizophrenia psychopathology (n=39, 30.9%). Detailed phenomenological characteristics of each of the three presented variants are given. The developed three-component taxonomy confirms, on the model of chronic delusional psychoses appearing in schizophrenia and the pathology of the schizophrenia spectrum, the concept of simultaneous representation of two relatively independent domains determined by neurobiological processes in the schizophrenia psychopathology positive and negative disorders.

Lexical Functional Grammar as a Construction Grammar

Lexical Functional Grammar (LFG) is a lexicalist, constraint-based grammatical theory that shares a lot of the basic assumptions of Construction Grammar (CxG), such as a commitment to surface-oriented descriptions (no transformations), and the simultaneous representation of form, meaning, and other grammatical information (no derivations). Nevertheless, LFG is not standardly viewed as a kind of CxG, in particular since its adherence to the principle of Lexical Integrity means that it insists on a strict morphology-syntax distinction where CxG canonically rejects such a divide. However, such a distinction is in fact entirely compatible with CxG assumptions; the actual problem with viewing LFG as a CxG is the difficulty it has in describing the more substantive end of the schematic-substantive spectrum of constructions. I suggest that by replacing the limited context-free grammar base of LFG responsible for this shortcoming with a more expressive formalism (in this case a description-based tree-adjoining grammar), we can obtain a fully constructional LFG, suitable as a formal framework for CxG.

Partial and Simultaneous Transitive Orientations via Modular Decompositions

A natural generalization of the recognition problem for a geometric graph class is the problem of extending a representation of a subgraph to a representation of the whole graph. A related problem is to find representations for multiple input graphs that coincide on subgraphs shared by the input graphs. A common restriction is the sunflower case where the shared graph is the same for each pair of input graphs. These problems translate to the setting of comparability graphs where the representations correspond to transitive orientations of their edges. We use modular decompositions to improve the runtime for the orientation extension problem and the sunflower orientation problem to linear time. We apply these results to improve the runtime for the partial representation problem and the sunflower case of the simultaneous representation problem for permutation graphs to linear time. We also give the first efficient algorithms for these problems on circular permutation graphs.

Spectral pursuit for simultaneous sparse representation with accuracy guarantees

Spectral pursuit for simultaneous sparse representation with accuracy guarantees

The unprotectables: A critical discourse analysis of older people’s portrayal in UK newspaper coverage of Covid-19

In this article, I draw on the systematic, policy-led negligence with which older people in the United Kingdom were handled during the first wave of the Covid-19 pandemic, as I examine their simultaneous cultural representation across four major UK newspapers. Using content and critical discourse analysis, I demonstrate that while older people were depicted mostly through the notion of their increased risk to contract and die from the virus, this risk was consistently framed as unmanageable. I adopt a Foucauldian governmentality perspective as I argue that by framing dangers as exceeding the possibility of control and insurance, the discourse of unmanageable risk helped to dismantle the protection of older people from the virus. Moreover, I demonstrate that the unmanageable risk discourse spawned a particular kind of an older subject, one who not only is unprotectable but also invisible. I discuss how older people’s invisibility – evident in the absence of their names, voices and testimonies – operated in tandem with their unprotectability, to render them palatably disposable.

Simultaneous representation of multiple time horizons by entorhinal grid cells and CA1 place cells

Grid cells and place cells represent the spatiotemporal continuum of an animal's past, present, and future locations. However, their spatiotemporal relationship is unclear. Here, we co-record grid and place cells in freely foraging rats. We show that average time shifts in grid cells tend to be prospective and are proportional to their spatial scale, providing a nearly instantaneous readout of a spectrum of progressively increasing time horizons ranging hundreds of milliseconds. Average time shifts of place cells are generally larger compared to grid cells and also increase with place field sizes. Moreover, time horizons display nonlinear modulation by the animal's trajectories in relation to the local boundaries and locomotion cues. Finally, long and short time horizons occur at different parts of the theta cycle, which may facilitate their readout. Together, these findings suggest that population activity of grid and place cells may represent local trajectories essential for goal-directed navigation and planning.

Simultaneous representation of multiple time horizons by entorhinal grid cells and CA1 place cells

Simultaneous representation of multiple time horizons by entorhinal grid cells and CA1 place cells

X-STATIS: A Multivariate Approach to Characterize the Evolution of E-Participation, from a Global Perspective

This paper aims to categorize countries by their e-participation index, according to political, capacity, and governmental environment factors; examine how they are projected based on these factors; and analyze whether this projection corresponds to the current state of e-participation development. It is the first study to provide an overview of the e-participation level using multivariate analysis techniques for three-way data analysis, specifically, the X-STATIS methodology and cluster analysis. These techniques enable the simultaneous representation of countries, factors, conditions, trajectories, and groupings, taking into account national conditions in the evolution of e-participation from 2008 to 2016. The results show that when the conditions of each country interact with the level of e-participation development, and depending on the economic development, 7% of countries are lagging behind in e-participation evolution, given their institutional and political capacity. This delay is particularly relevant in countries that enjoy a higher level of socioeconomic status. Meanwhile, 38% are above the level they would correspond to.

MEC: A Mesoscale Events Classifier for Oceanographic Imagery

The observation of the sea through remote sensing technologies plays a fundamentalan role in understanding the state of health of marine fauna species and their behaviour. Mesoscale phenomena, such as upwelling, countercurrents, and filaments, are essential processes to be analysed because their occurrence involves, among other things, variations in the density of nutrients, which, in turn, influence the biological parameters of the habitat. Indeed, there is a connection between the biogeochemical and physical processes that occur within a biological system and the variations observed in its faunal populations. This paper concerns the proposal of an automatic classification system, namely the Mesoscale Events Classifier, dedicated to the recognition of marine mesoscale events. The proposed system is devoted to the study of these phenomena through the analysis of sea surface temperature images captured by satellite missions, such as EUMETSAT’s Metop and NASA’s Earth Observing System programmes. The classification of these images is obtained through (i) a preprocessing stage with the goal to provide a simultaneous representation of the spatial and temporal properties of the data and enhance the salient features of the sought phenomena, (ii) the extraction of temporal and spatial characteristics from the data and, finally, (iii) the application of a set of rules to discriminate between different observed scenarios. The results presented in this work were obtained by applying the proposed approach to images acquired in the southwestern region of the Iberian peninsula.

3-D Raman Imaging Using Time-Resolving CMOS SPAD Line Sensor and 2-D Mapping

The capability of Raman imaging to produce 2D and 3D chemical presentations of samples has gained a lot of interest in different application fields. In this paper, we present a 3D chemical image reconstruction based on 2D scanning of a sample utilizing a time-resolved Raman spectrometer based on a CMOS single-photon avalanche diode (SPAD) line sensor. The 2D scanning data contains the lateral information (XY-plane) whereas the time-of-arrival data of the Raman photons measured by the sensor carries the axial information (i.e., depth information, Z-axis). The sensor is fabricated in 110-nm CMOS technology. It has 256-spectral channels and each channel has its own 7-bit on-chip time-to-digital converter (TDC) with an adjustable resolution from 25 ps to 65 ps. In addition to the 3D chemical reconstruction of the scanned sample, we have also shown the ability to retrieve depth profiling information of each scanned pixel such as the boundaries and middle points of any selected layer over the depth range of the scanned object by means of a single measurement for each scanned pixel. In addition, we have discussed the system components and the post-processing parameters that affect the depth profiling accuracy and the 3D reconstruction operation the most. Results showed that the instrument response function of the system and the time gate window width in a post-processing phase are playing the most important role in determining the axial (depth) accuracy. We believe that our system will enable a whole new class of Raman applications that will allow simultaneous 3D chemical geometric representation at the cm-level during Raman operations.

Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models

AbstractOne of the persistent challenges of Land Surface Models (LSMs) is to determine a realistic yet efficient sub‐grid representation of heterogeneous landscapes. This is particularly important in emulating the fine‐scale and nonlinear interactions between water, energy, and biogeochemical fluxes at the land surface. In LSMs, landscape heterogeneity can be represented using sub‐grid tiling techniques, which partition macroscale grid cells (e.g., 1°) into smaller units or “tiles.” However, there is currently no formal procedure to define the number of tiles required to adequately represent the heterogeneity of hydrologic processes within a macroscale grid cell, and across spatial scales. To address these challenges, a new approach is presented to diagnose sub‐grid process heterogeneity formally and to infer an optimal number of tiles per macroscale grid cell. The approach is demonstrated using the HydroBlocks modeling framework coupled to Noah‐MP LSM implemented over a 1.0‐degree domain in Western Colorado in the United States. Our results show that (a) a surrogate model can accurately infer the spatial structure of the LSM's time‐averaged hydrological fields, with over 95% overall R2 performance in the validation stage; (b) the optimal configurations for a target level of complexity can be determined using a multi‐objective Pareto efficiency analysis, which includes the simultaneous representation of the multi‐scale heterogeneity of several processes; (c) the use of ∼100 tiles effectively reproduces a quasi‐fully distributed LSM setup (i.e., 83,000 tiles) with approximately 1% of the computational expense. This method provides a path forward to efficiently determine the optimal tile configurations for LSMs while simultaneously considering the spatial heterogeneity and spatial accuracy of hydrologic processes.

Avoiding Common Conflicts of Interest in the Lawyer-Client Relationship

There are several areas in the law where conflicts of interest commonly occur in the context of the lawyer-client relationship. This article, which is Part II of a three-part series on issues relating to the lawyer-client relationship, will explain two of the main conflicts that may occur: simultaneous representation of clients with differing or conflicting interests and personal conflicts of interest between a lawyer and a client. In addition, the paper will discuss the special considerations inherent in contingent fee arrangements.

Constructing "Full-Frequency" Spectra via Moment Constraints for Coupled Cluster Green's Functions.

We propose an approach to build "full-frequency" quasiparticle spectra from conservation of a set of static expectation values. These expectation values define the moments of the spectral distribution, resulting in an efficient and systematically improvable expansion. By computing these initial moment constraints at the coupled-cluster level, we demonstrate convergence in both correlated state-specific and full spectral quantities, while requiring a fraction of the effort of traditional Green's function approaches. Tested across the GW100 benchmark set for charged excitation spectra, we can converge frontier excitations to within the inherent accuracy of the CCSD approximation, while obtaining a simultaneous representation of the entire excitation spectrum at all energy scales.

OntoSuSD: Software engineering approaches integration ontology for sustainable software development

AbstractDifferent software development approaches (SDAs) are developed with broad portfolios of development processes. Each of the approaches has certain exclusive principles, practices, thinking, and values, which are informally represented, implemented, and improperly institutionalized. Ontologies are developed for the representation, assessment, and adaptation of SDAs separately without having a shared terminology which may lead to terminological conflict and confusion affecting the simultaneous representation and implementation in software development industry and academia. The software engineering approaches does not consider and support sustainability as priority concern. However, the approaches have capabilities of supporting sustainable software development in different sustainability aspects. This research article aims for the designing and development of an integrated ontology of software engineering approaches (i.e., agile, lean, and green) named OntoSuSD (ontology for sustainable software development) to support sustainable software development knowledge, awareness, and implementation. The goal of OntoSuSD is to propose, design and develop a formal, generic, consistent, and shared knowledge base containing semantic terminology and description of concepts and relationships generated around the representation and implementation of lean, agile, and green approaches in software development processes, which will facilitate their simultaneous implementation and assessment for sustainable software development. The OntoSuSD is developed using practical ontology engineering methodology by reusing relevant ontologies and explicit concepts and properties are defined to fulfill knowledge requirements and representations of the domain. The OntoSuSD is evaluated, and results infer OntoSuSD has high ontological design, good domain coverage, potential applications and achieves purpose of the ontology development.