Proportional Representation Research Articles

Case Studies of Battery Energy Storage System Applications in the Brazilian Transmission System

This paper presents the preliminary results of studies aiming to use a battery energy storage system (BESS) in the Brazilian transmission system. The main objective of the BESS is to solve congestion problems caused mainly by the large increase in variable renewable generation in certain system areas. The studies were conducted based on actual forecasted system scenarios using a full representation of the electric grid available from the Brazilian system operator data base. In this work, only the steady-state modeling was considered as this may be the first stage in the assessment of a new technology. A qualitative economic comparison of the BESS application with other possible solutions to the congestion problems is also included.

Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment

AbstractThe field of social network analysis has identified User Alignment (UA) as a crucial area of investigation. The objective of UA is to identify and connect user accounts across diverse social networks, even when there are no explicit interconnections. UA plays a pivotal role in synthesising coherent user profiles and delving into the intricacies of user behaviour across platforms. However, traditional approaches have encountered limitations. Singular embedding techniques have been found to fall short in fully capturing the semantic essence of user profile attributes. Furthermore, classification-based embedding methods lack definitive criteria for categorisation, thereby constraining both the efficacy and applicability of these models. This paper presents a novel unsupervised Gradient Semantic Model for User Alignment (GSMUA) for the purpose of identifying common user identities across social networks. GSMUA categorises user profile information into weak, sub, and strong gradients based on the semantic intensity of attributes. Different gradient semantic levels direct attention to literal features, semantic features, or a combination of both during feature extraction, thereby achieving a full semantic representation of user attributes. In the case of strongly semantic long texts, GSMUA employs Named Entity Recognition (ENR) technology in order to enhance the inefficient handling of such texts. Furthermore, GSMUA compensates for missing user profile attributes by utilising profile information from user neighbours, thereby reducing the negative impact of missing user profile attributes on model performance. Extensive experiments conducted on four pairs of real datasets demonstrate the superiority of our approach. In comparison to the most effective previously developed unsupervised methods, GSMUA demonstrates improvements in hit-precision ranging from 5.32 to 12.17%. When compared to supervised methods, the improvements range from 0.71 to 11.79%.

SISTEMA ELEITORAL PROPORCIONAL DE LISTA ABERTA: CRÍTICAS DA CIÊNCIA POLÍTICA AO SISTEMA ELEITORAL DO BRASIL

The open-list proportional electoral system is used in democracies such as Brazil for the election of its legislative representatives. This system, however, has been subject to criticism in political science, both in Brazil and internationally, due to its effects on party structure, voter behavior, and the political process in general. This article examines the main theoretical criticisms of the open-list proportional system, discussing issues such as party fragmentation, campaign personalization, distortion of the popular will, intraparty competition, difficulty in electoral accountability, and the tendency toward personalist voting.

CONDUCTING ELECTIONS TO THE PARLIAMENT OF THE REPUBLIC OF UZBEKISTAN: ACTIVITIES OF THE CENTRAL ELECTORAL COMMISSION AND MODERN MECHANISMS FOR ENSURING LEGITIMACY

This article examines the role and importance of the new electoral system. This year, the Republic of Uzbekistan held elections for the first time under a new mixed electoral system, which will combine elements of the majoritarian and proportional electoral systems. In previous years, parliamentary elections in Uzbekistan were held under a majoritarian system, which provided for the creation of single-mandate constituencies and voters voting for specific candidates from parties represented in a particular constituency.

Discourses of Human Disqualification: The Story of Gerhard Herbert Kretschmar on Screen and Stage

The article centres on a contemporary short film and two plays that were inspired by the story of Gerhard Herbert Kretschmar, the first known victim of the Nazi programme of the extermination of people with disabilities; these are: Robert De Feo and Vito Palumbo’s Child K (2014), Kristofer Blindheim Grønskag’s Kinder K (2012), and Weronika Murek’s Feinweinblein (2015). I examine verbal and visual discourses of human disqualification that these works reveal and challenge or reinforce. Following Tobin Siebers, I define disqualification as “a symbolic process” that excludes individuals from being considered rightful human beings, thereby exposing them to “unequal treatment, bodily harm, and death” (Siebers, 2013, p. 23). As regards visual discourses of human disqualification, the article argues that even though each play or film employs a different representational strategy, which can respectively be called: monsterization, sublimation, and normalization, they all render the “severely” disabled body of Gerhard Herbert Kretschmar invisible. In other words, they hide the “unsightly” from view, hence denying full representation to those body-minds that fall significantly outside the “norm” and perpetuating their aesthetic disqualification.

Patient-specific prostate tumour growth simulation: a first step towards the digital twin.

Prostate cancer (PCa) is a major world-wide health concern. Current diagnostic methods involve Prostate-Specific Antigen (PSA) blood tests, biopsies, and Magnetic Resonance Imaging (MRI) to assess cancer aggressiveness and guide treatment decisions. MRI aligns with in silico medicine, as patient-specific image biomarkers can be obtained, contributing towards the development of digital twins for clinical practice. This work presents a novel framework to create a personalized PCa model by integrating clinical MRI data, such as the prostate and tumour geometry, the initial distribution of cells and the vasculature, so a full representation of the whole prostate is obtained. On top of the personalized model construction, our approach simulates and predicts temporal tumour growth in the prostate through the Finite Element Method, coupling the dynamics of tumour growth and the transport of oxygen, and incorporating cellular processes such as proliferation, differentiation, and apoptosis. In addition, our approach includes the simulation of the PSA dynamics, which allows to evaluate tumour growth through the PSA patient's levels. To obtain the model parameters, a multi-objective optimization process is performed to adjust the best parameters for two patients simultaneously. This framework is validated by means of data from four patients with several MRI follow-ups. The diagnosis MRI allows the model creation and initialization, while subsequent MRI-based data provide additional information to validate computational predictions. The model predicts prostate and tumour volumes growth, along with serum PSA levels. This work represents a preliminary step towards the creation of digital twins for PCa patients, providing personalized insights into tumour growth.

Atomistic Insights into gp82 Binding: A Microsecond, Million-Atom Exploration of Trypanosoma cruzi Host-Cell Invasion.

Chagas disease, caused by the protozoan Trypanosoma cruzi , affects millions globally, leading to severe cardiac and gastrointestinal complications in its chronic phase. The invasion of host cells by T. cruzi is mediated by the interaction between the parasite's glycoprotein gp82 and the human receptor lysosome-associated membrane protein 2 (LAMP2). While experimental studies have identified a few residues involved in this interaction, a comprehensive molecular-level understanding has been lacking. In this study, we present a 1.44-million-atom computational model of the gp82 complex, including over 3,300 lipids, glycosylation sites, and full molecular representations of gp82 and LAMP2, making it the most complete model of a parasite-host interaction to date. Using microsecond-long molecular dynamics simulations and dynamic network analysis, we identified critical residue interactions, including novel regions of contact that were previously uncharacterized. Our findings also highlight the significance of the transmembrane domain of LAMP2 in stabilizing the complex. These insights extend beyond traditional hydrogen bond interactions, revealing a complex network of cooperative motions that facilitate T. cruzi invasion. This study not only confirms key experimental observations but also uncovers new molecular targets for therapeutic intervention, offering a potential pathway to disrupt T. cruzi infection and combat Chagas disease.

Polaritonic Chemistry Using the Density Matrix Renormalization Group Method.

The emerging field of polaritonic chemistry explores the behavior of molecules under strong coupling with cavity modes. Despite recent developments in ab initio polaritonic methods for simulating polaritonic chemistry under electronic strong coupling, their capabilities are limited, especially in cases where the molecule also features strong electronic correlation. To bridge this gap, we have developed a novel method for cavity QED calculations utilizing the Density Matrix Renormalization Group (DMRG) algorithm in conjunction with the Pauli-Fierz Hamiltonian. Our approach is applied to investigate the effect of the cavity on the S0-S1 transition of n-oligoacenes, with n ranging from 2 to 5, encompassing 22 fully correlated π orbitals in the largest pentacene molecule. Our findings indicate that the influence of the cavity intensifies with larger acenes. Additionally, we demonstrate that, unlike the full determinantal representation, DMRG efficiently optimizes and eliminates excess photonic degrees of freedom, resulting in an asymptotically constant computational cost as the photonic basis increases.

Principles Governing the Exercise of Discretionary Powers by Public Authorities: Systematic Structure and Constitutional-Legal Foundation

This study aims to substantiate the need to establish a modern system of principles for the implementation of the discretionary powers of public authorities as a fundamental element of their operational mechanism. This study provides an overview of the principles of the principles governing the exercise of discretionary powers, as outlined in international and national legal frameworks. Key principles such as the rule of law, legality, reasonable restraint, equality, legal certainty, objectivity, impartiality, and proportionality are identified, and their constitutional and legal interpretations are analyzed. Special attention should be given to the importance of constructing a coherent system of principles for exercising discretionary powers. The following classifications are proposed: 1) Fundamental principles: the rule of law and legality is of paramount importance in shaping the legal institution of discretionary powers; 2) General principles: proper use of discretionary powers, equality before the law, objectivity, impartiality, and reasonable timeframes; 3) Special principles: proportionality and constitutional restraint. In addition, the principle of prudentiality is highlighted as a distinct principle, despite its absence in national legislation, as it is applied in the practices of certain authorities. This study concludes that the formal legal establishment and practical application of the aforementioned principles not only share the nature and outcomes of interaction between public authorities but will also provide robust guarantees for the rights, freedoms, and legitimate interests of individuals and organizations, protecting them from abuse and arbitrariness

A plastic correction algorithm for full-field elasto-plastic finite element simulations: critical assessment of predictive capabilities and improvement by machine learning

AbstractThis paper introduces a new local plastic correction algorithm that is aimed at accelerating elasto-plastic finite element (FE) simulations for structural problems exhibiting localised plasticity (around e.g. notches, geometrical defects). The proposed method belongs to the category of generalised multi-axial Neuber-type methods, which process the results of an elastic prediction point-wise in order to calculate an approximation of the full elasto-plastic solution. The proposed algorithm relies on a rule of local proportionality, which, in the context of J2 plasticity, allows us to express the plastic correction problem in terms of the amplitude of the full mechanical tensors only. This lightweight correction problem can be solved for numerically using a fully implicit time integrator that shares similarities with the radial return algorithm. The numerical capabilities of the proposed algorithm are demonstrated for a notched structure and a specimen containing a distribution of spherical pores, subjected to monotonic and cyclic loading. As a second point of innovation, we show that the proposed local plastic correction algorithm can be further accelerated by employing a simple meta-modelling strategy, with virtually no added errors. At last, we develop and investigate the merits of a deep-learning-based corrective layer designed to reduce the approximation error of the plastic corrector. A convolutional architecture is used to analyse the neighbourhoods of material points and outputs a scalar correction to the point-wise Neuber-type predictions. This optional brick of the proposed plastic correction methodology relies on the availability of a set of full elasto-plastic finite element solutions to be used as a training data-set.

Political Organization in Multicultural Societies Based on Religious Democracy

Multicultural societies have special conditions that do not reply to any political system. Therefore, a special structure of democracy should be designed to bring security and progress to these societies. The common version of religious democracy based on a majority vote is unsuitable for multicultural societies. Therefore, the mentioned societies need a special version of religious democracy that can provide justice and security in these societies. The question raised here is what political structure is suitable for multicultural societies? Using descriptive and prescriptive methods and based on the main principles and components of religious democracy such as social justice, political pluralism, popular acceptance, sovereignty of religious laws, and its supervision over power, the current research proposes a special structure in four territorials, legislative, administrative and judicial domains for these societies. The results of the research show that the federal system, with its two-pillar administrative structure composed of the president elected by the people and the prime minister elected by the parliament and the proportional distribution of power and benefits at different levels, along with a unicameral structure based on a proportional electoral system in which religious laws prevail, along with a religious supervisory body on the legislative process and judicial structure based on judicial independence in personal status, the use of independent courts, strengthening human rights institutions and the use of accepted laws of human rights and Islamic human rights is the most appropriate structure in multicultural societies.

‘Towards a modern democracy’? The constitutional politics of the 1990s British left

ABSTRACT This article argues that a ‘constitutional lens’ sheds light on British political contestation in the 1990s. It is commonly suggested that 1990s politicians merely consolidated the hegemony of ‘Thatcherism’. Yet, this struggles to encompass the decade’s political volatility, from the Conservatives’ descent into internecine warfare over the Maastricht Treaty to the fraught Irish peace process. Though varied, these developments shared a key theme: controversy over the constitution of the United Kingdom. To illustrate its case, this article applies the constitutional lens to the 1990s left. Existing accounts emphasise Labour’s concessions to Conservative opponents. By 2001, however, the first Blair government had enacted contentious constitutional changes: devolution, proportional voting systems, and a Human Rights Act. These policies reflected a dynamic, new, liberal-left politics of constitutional reform. From the 1980s, liberals, social democrats and Marxists forged a new constitutional agenda, responding to trends since the 1960s—growing ‘popular individualism’, agitation for ‘human rights’, European integration, and Scottish nationalism—and to the end of the Cold War. By the 1990s, campaigners had developed a bold programme for ‘modernising the constitution’, which influenced Labour’s programme. Through New Labour’s governments, this agenda profoundly reshaped the institutions of British politics in the twenty-first century.

Does Proportionality Increase Turnout? A Study of Adaptation to Oscillating Electoral Systems

Does proportionality increase turnout? This article studies a national electoral reform in early twentieth-century Argentina that was implemented asymmetrically across districts, creating a natural laboratory in which some districts oscillated between electoral systems across elections. Leveraging this unusual variation in a difference-in-differences design, this article shows that a shift from multi-member plurality rules towards a slightly more proportional system—which removed one-third of the contested seats from the grasp of the dominant party—led to a four percentage point increase in turnout. An investigation into causal mechanisms indicates that more proportional rules, by increasing the odds that smaller parties obtain seats, promoted strategic party entry and intensified electoral competition, both between and within parties. These findings complement existing quasi-experimental results that focus exclusively on elections in European democracies, confirm that parties are able to adapt immediately to changes in electoral rules, and refute the belief that proportionality does not affect turnout in Latin America.

Green Hrm and Employee Performance: How Organizational Culture Plays A Mediating Role

This research looks at how green HR management affects employee performance through the medium of organizational culture. With the increasing demand for environmentally friendly practices, businesses are feeling the heat to adopt eco-friendly policies that benefit society and our environment. Green HRM is believed to promote environmentally conscious behavior among employees, thereby enhancing their performance. This study takes a quantitative approach by using Partial Least Squares (PLS) as its statistical method. PLS is well-suited for analyzing correlations between complex variables. Maximizing explained variance enhances prediction accuracy, which is why PLS is chosen. The study ensures full data representation by using a saturation sampling strategy, which encompasses all relevant population members. Although green HR management has a major effect on company culture, the results show that it has little to no effect on employee performance. Furthermore, corporate culture mediates the relationship between green HR management and staff effectiveness, which in turn has a substantial impact on worker performance. The study concludes that for effective implementation of green HRM, it is essential to integrate it with an organizational culture that aligns with sustainability values. For this reason, green human resource management practices ought to be an essential component of the culture of every organization that aspires to raise the level of productivity achieved by its workforce.

Beyond the root: Geometric characterization for the diagnosis of syndromic heritable thoracic aortic diseases

Syndromic heritable thoracic aortic diseases (sHTAD), such as Marfan (MFS) or Loeys–Dietz (LDS) syndromes, involve high risk of life threatening aortic events. Diagnosis of syndromic features alone is difficult, and negative genetic tests do not necessarily exclude a genetic or hereditary condition. Periodic 3D imaging of the aorta is recommended in patients with aortic disease. Thus, an imaging-based approach aimed at identifying unique features of aortic geometry can be highly effective for diagnosing sHTAD and assessing risk. In this study, we present a method that can help identify the manifestations of sHTAD by focusing on the entire geometry of the thoracic aorta, rather than only using measurements of dilation of the aortic root. We analyze the geometric phenotype of 97 patients with genetically confirmed sHTAD (79 MF and 18 LDS) and of 45 healthy volunteers, using 3D aorta meshes obtained from phase contrast-enhanced magnetic resonance angiograms computed from 4D flow cardiac magnetic resonance. We build a geometric encoding of the aorta, based on a vessel coordinate system, and use several mathematical models to discriminate between controls and patients with sHTAD: a baseline scenario, based on aortic root dimensions only, a descriptor typically used in sHTAD patients; a low dimensional scenario, with a reduce encoding using principal component analysis; and a high-dimensional scenario, which included the full coefficient representation for geometry encoding, aiming to capture finer geometric details. The results indicate that considering the anatomy of the whole thoracic aorta can improve predictive ability. We achieve precision and sensitivity values over 0.8, with a specificity of over 70% in all the models used, while a single value classifiers (based only on aortic root diameter) demonstrated a trade-off between sensitivity and specificity. Using the mathematical properties of the vessel coordinate system representation, feature importance is mapped onto a set of anatomical traits that are used by the models to do the classification, thus providing interpretability of the results. This analysis indicates that in addition to the diameter of the aortic root, aortic elongation and a narrowing of the descending thoracic aorta may be markers of positive sHTAD.

Институт самовыдвижения на муниципальных выборах в России в условиях пропорциональной избирательной системы

The use of the proportional electoral system to form a representative authority of a municipal structure gives a non-party citizen no opportunity to exercise the right of self-nomination as in such conditions, he/she is suggested to include his/her candidacy in a party list. The article analyzes legal provisions that regulate this procedure, compares the legal position of a self-nominated candidate and a nonparty candidate that interacts with an electoral association, identifies problems of such interaction and certain aspects of determination of election results and mandate distribution.

A volume‐averaging and stochastic turbulence modeling framework for homogeneous roughness‐induced drag in turbulent flows

AbstractThe goal of this work is the formulation of a model for the parameterization of homogeneous roughness‐induced drag in turbulent flow simulations. We characterize rough surfaces using their surface‐area moments of roughness‐peaks. Additionally, we consider a probabilistic self‐similar power law distribution for the roughness heights, in such a way that an assumed set of discrete roughness elements can behave as a probabilistic fractal set. Upon these assumptions, the surface characterization is complete and yields wall‐normal profiles of porosity, average roughness element diameter, and equivalent pore diameter of the roughness affected porous flow. The profiles are supplied to a (pore‐based) Reynolds number and porosity‐based drag parameterization for staggered cylinder arrays available in the literature, as well as a one‐dimensional map‐based turbulence model, the one‐dimensional turbulence (ODT) model. The purpose of the latter is a way to provide the missing effects of the equivalent dispersion tensor in the porous flow close to the rough surface, as well as that of the nonlinear turbulent transport away from the wall. Simulations are then carried out in order to evaluate the effects of two different rough surfaces on a turbulent channel flow, comparing results with existing direct numerical simulation (DNS) data. Overall, reasonable agreement is obtained, which suggests that, by using the proposed model, it is possible to model the effects of rough surfaces on wall‐bounded turbulent flows, without the explicit need of the full topological representation of the surface on the numerical domain. To that extent, one clear flow control application for the suggested approach would be that of drag‐based surface optimization.

Optimized genome-wide CRISPR screening enables rapid engineering of growth-based phenotypes in Yarrowia lipolytica

CRISPR-Cas9 functional genomic screens uncover gene targets linked to various phenotypes for metabolic engineering with remarkable efficiency. However, these genome-wide screens face a number of design challenges, including variable guide RNA activity, ensuring sufficient genome coverage, and maintaining high transformation efficiencies to ensure full library representation. These challenges are prevalent in non-conventional yeast, many of which exhibit traits that are well suited to metabolic engineering and bioprocessing. To address these hurdles in the oleaginous yeast Yarrowia lipolytica, we designed a compact, high-activity genome-wide sgRNA library. The library was designed using DeepGuide, a sgRNA activity prediction algorithm and a large dataset of ∼50,000 sgRNAs with known activity. Three guides per gene enables redundant targeting of 98.8% of genes in the genome in a library of 23,900 sgRNAs. We deployed the optimized library to uncover genes essential to the tolerance of acetate, a promising alternative carbon source, and various hydrocarbons present in many waste streams. Our screens yielded several gene knockouts that improve acetate tolerance on their own and as double knockouts in media containing acetate as the sole carbon source. Analysis of the hydrocarbon screens revealed genes related to fatty acid and alkane metabolism in Y. lipolytica. The optimized CRISPR gRNA library and its successful use in Y. lipolytica led to the discovery of alternative carbon source-related genes and provides a workflow for creating high-activity, compact genome-wide libraries for strain engineering.

Beta-CoRM: A Bayesian approach for n-gram profiles analysis

n-gram profiles have been successfully and widely used to analyse long sequences of potentially differing lengths for clustering or classification. Mainly, machine learning algorithms have been used for this purpose but, despite their predictive performance, these methods cannot discover hidden structures or provide a full probabilistic representation of the data. A novel class of Bayesian generative models designed for n-gram profiles used as binary attributes have been designed to address this. The flexibility of the proposed modelling allows to consider a straightforward approach to feature selection in the generative model. Furthermore, a slice sampling algorithm is derived for a fast inferential procedure, which is applied to synthetic and real data scenarios and shows that feature selection can improve classification accuracy.

Revisiting a Chemical Route to the Formation of CN− in the Interstellar Medium

We discuss the HCN + H− reaction as a path to the formation of CN−, the smallest cyanopolyyne anion observed in several interstellar environments. We first obtain the new ab initio reactive potential energy surface using a full 5D representation, where only the C–N bond is kept fixed, and discuss the neural network procedure employed to yield an accurate fit for the dynamics. The reaction is then investigated by using a quasi-classical trajectory approach to scan the low-temperature range of the dark molecular clouds where the anion has been sighted. Calculations are extended to room temperature to make a successful comparison with existing experimental data. We further present reduced dimensionality modeling of the reaction as a 2D process within a variational-transition state treatment with the inclusion of long-range forces. The dominant role of such forces in producing large reaction rate coefficients is discussed for both treatments, which yield very similar sizes and behavior of such coefficients from 50 to 300 K. The implications of our results for the interstellar medium formation of the CN− species via this chemical route are discussed, suggesting its greater significance over the radiative electron attachment paths, whose rate coefficients were found by recent calculations to be orders of magnitude smaller.