IndRT-GCNets: Knowledge Reasoning with Independent Recurrent Temporal Graph Convolutional Representations

Due to the structural dependencies among concurrent events in the knowledge graph and the substantial amount of sequential correlation information carried by temporally adjacent events,we propose an Independent Recurrent Temporal Graph Convolution Networks(IndRT-GCNets)framework to efficiently and accurately capture event attribute information.The framework models the knowledge graph sequences to learn the evolutionary represen-tations of entities and relations within each period.Firstly,by utilizing the temporal graph convolution module in the evolutionary representation unit,the framework captures the structural dependency relationships within the knowledge graph in each period.Meanwhile,to achieve better event representation and establish effective correlations,an independent recurrent neural network is employed to implement auto-regressive modeling.Furthermore,static attributes of entities in the entity-relation events are constrained andmerged using a static graph constraint to obtain optimal entity representations.Finally,the evolution of entity and relation representations is utilized to predict events in the next subsequent step.On multiple real-world datasets such as Freebase13(FB13),Freebase 15k(FB15K),WordNet11(WN11),WordNet18(WN18),FB15K-237,WN18RR,YAGO3-10,and Nell-995,the results of multiple evaluation indicators show that our proposed IndRT-GCNets framework outperforms most existing models on knowledge reasoning tasks,which validates the effectiveness and robustness.

Systematic Method for Constructing Lewis Representations

The systematic method for constructing Lewis representations is a method for representing chemical bonds between atoms in a molecule. It uses symbols to represent the valence electrons of the atoms involved in the bond. Using a number of rules in a defined order, it is often better suited to complicated cases than the Lewis representation of atoms. This method allows us to determine the formal charge and oxidation number of each atom in the edifice more efficiently than other methods.

Using Speaker-Specific Emotion Representations in Wav2vec 2.0-Based Modules for Speech Emotion Recognition

Speech emotion recognition is essential for frictionless human-machine interaction,where machines respond to human instructions with context-aware actions.The properties of individuals’voices vary with culture,language,gender,and personality.These variations in speaker-specific properties may hamper the performance of standard representations in downstream tasks such as speech emotion recognition(SER).This study demonstrates the significance of speaker-specific speech characteristics and how considering them can be leveraged to improve the performance of SER models.In the proposed approach,two wav2vec-based modules(a speaker-identification network and an emotion classification network)are trained with the Arcface loss.The speaker-identification network has a single attention block to encode an input audio waveform into a speaker-specific representation.The emotion classification network uses a wav2vec 2.0-backbone as well as four attention blocks to encode the same input audio waveform into an emotion representation.These two representations are then fused into a single vector representation containing emotion and speaker-specific information.Experimental results showed that the use of speaker-specific characteristics improves SER performance.Additionally,combining these with an angular marginal loss such as the Arcface loss improves intra-class compactness while increasing inter-class separability,as demonstrated by the plots of t-distributed stochastic neighbor embeddings(t-SNE).The proposed approach outperforms previous methods using similar training strategies,with a weighted accuracy(WA)of 72.14%and unweighted accuracy(UA)of 72.97%on the Interactive Emotional Dynamic Motion Capture(IEMOCAP)dataset.This demonstrates its effectiveness and potential to enhance human-machine interaction through more accurate emotion recognition in speech.

Examination of the Illness Representations among Children with T1DM in Relation to Mental Health Factors

The most common comorbid psychiatric disorders in children with type 1 diabetes mellitus(T1DM)are depression,anxiety and behavioral disorders.Patients with comorbid psychopathology are less capable of psychically adjusting to the new life situation resulting from T1DM,which may negatively affect glycemic control and adherence related to the treatment.We aimed to investigate the association between mental health and type 1 diabetes including illness representation.115 children and adolescents with T1DM were recruited through the outpatient clinic in Debrecen,Hungary.Measures:PRISM-D,Child Depression Inventory(CDI),Cantril Ladder and Self-Rated Health,Glycosylaeted haemoglobin(HbA1C)were measured.Children having depressive symptoms drew fewer circles with less area.Children not drawing any important relationships possessed more depressive symptoms.Those diagnosed at a younger age displayed smaller distance between the Self-and Illness-circles.The PRISM-D test can be a promising tool to analyse emotional and cognitive representations and the psychological burden of T1DM.

Socio-Cultural Representations and Therapeutic Itineraries of Parents of Autistic Children Followed in the INSP’s Children’s Mental Health Services

Pervasive developmental disorders (PDD) remain little known to populations in developing countries. In black Africa their social representations remain strongly influenced by local belief systems. The general objective of this study was to understand the perceptions and representations of Ivorian parents vis-à-vis PDD. This was a mixed (qualitative and quantitative) prospective cross-sectional study with a descriptive aim that involved a sample of 49 parents. The sampling was of the qualitative type by multiple cases with reasoned choice by saturation. Our results showed that male parents were mostly aged between 40 - 49 years (48.98%) with a higher level of education (67.34%) while mothers were mostly aged between 30 - 39 (61.22%) and a higher level (30.61%). Autistic children were negatively perceived by their parents: either as a source of psychological suffering (82.85%), or as mysterious children who sacrificed their parents (44.66%), or as “bobo” children (mute children in common Ivorian language) (16.66%) or like rude children (13.34%). The supposed origin of the disorder according to the parents was mystical-religious (60.94%);natural (25%);hereditary (6.25%). In 6.25% of cases, PDD were assumed to be of unknown or iatrogenic origin attributable to vaccination (1.56%). 75.51% of parents said that in addition to conventional medical therapies, they also used traditional therapies. The use of this therapeutic alternative would be linked to the perceptions and beliefs that feed the socio-cultural representations of our respondents.

bell hooks: To Resist Misrepresentations of the Outlaw Culture

The thesis summarizes bell hooks' stand and viewpoints as expressed in her book Outlaw Culture:Resisting Representations.In this collection,hooks argues that the outlaw culture,a culture of the marginalized groups including black people and women,is either distorted or misinterpreted by the mainstream culture which is a white supremacist patriarchal one.Therefore,she calls for a resistance against the mainstream culture's misrepresentations of the outlaw culture.

Representations of Co-regular Subsets on Euclidean Spaces

For the computability of co-regular subsets in metric spaces, the properties of the co-regular subsets and several reasonable representations on co-regular sets have been suggested in this paper. As last, the ＇weaker or stronger＇ relations of these representations have been revealed.

Multipartite State Representations in Multi-mode Fock Space and Their Squeezing Transformations

We present the continuous state vector of the total coordinate of multi-partlcle and the state vector of their total momentum, respectively, which possess completeness relation in multi-mode Fock space by virtue of the integration within an order product （IWOP） technique. We also calculate the transition from classical transformation of variables in the states to quantum unitary operator, deduce a new multi-mode squeezing operator, and discuss its squeezing effect. In progress, it indicates that the IWOP technique provides a convenient way to construct new representation in quantum mechanics.

Enhanced LMI Representations for H2 Performance of Polytopic Uncertain Systems: Continuous-time Case

Based on two recent results, several new criteria of H2 performance for continuous-time linear systems are established by introducing two slack matrices. When used in robust analysis of systems with polytopic uncertainties, they can reduce conservatism inherent in the earlier quadratic method and the established parameter-dependent Lyapunov function approach. Two numerical examples are included to illustrate the feasibility and advantage of the proposed representations.

FREUD-BUTZER-HAHN TYPE QUANTITATIVE THEOREMS FOR PROBABILISTIC REPRESENTATIONS OF(C_0)OPERATOR SEMIGROUPS

In this paper,we shall exploit the Freud method in the Classical operator approximation theory to im- prove known quantitative estimalions with an emphasis on Calculah' on the generic constants.

Special Unipotent Representations of Simple Linear Lie Groups of Type A

Let G be a special linear group over the real,the complex or the quaternion,or a special unitary group.In this note,we determine all special unipotent representations of G in the sense of Arthur and Barbasch-Vogan,and show in particular that all of them are unitarizable.

QUASI-PERMUTATION REPRESENTATIONS OF ALTERNATING AND SYMMETRIC GROUPS

The quantities c（G）, q（G） and p（G） for finite groups were defined by H. Behravesh. In this article, these quantities for the alternating group An and the symmetric group Sn are calculated. It is shown that c（G） = q（G） = p（G） = n,when G = An or Sn.

STRONG REPRESENTATIONS OF THE SURVIVAL FUNCTION ESTIMATOR ON INCREASING SETS FOR TRUNCATED AND CENSORED DATA

In this paper, based on random left truncated and right censored data, the authors derive strong representations of the cumulative hazard function estimator and the product-limit estimator of the survival function. which are valid up to a given order statistic of the observations. A precise bound for the errors is obtained which only depends on the index of the last order statistic to be included.

Canonical and Boundary Representations on Rank One Para-Hermitian Spaces

This work studies the canonical representations (Berezin representations) for para-Hermitian symmetric spaces of rank one. These spaces are exhausted up to the covering by spaces?G/H?with G = SL(n,R),H = GL(n-1,R)?. For Hermitian symmetric spaces G/K, canonical representations were introduced by Berezin and Vershik-Gelfand-Graev. They are unitary with respect to some invariant non-local inner product (the Berezin form). We consider canonical representations in a wider sense: we give up the condition of unitarity and let these representations act on spaces of distributions. For our spaces G/H, the canonical representations turn out to be tensor products of representations of maximal degenerate series and contragredient representations. We decompose the canonical representations into irreducible constituents and decompose boundary representations.

Transition Dipole, Charge Transfer, and Electron-hole Coherence in Two-photon Absorption： Visualizations with Two Dimensional Site and Three Dimensional Cube Representations

The developed visualization methods of two dimensional （2D） site and three dimensional （3D） cube representations have been performed to show the orientation of transition dipole, charge transfer, and electron-hole coherence in two-photon absorption （TPA）. The 3D cube representations of transition density can reveal visually the orientation and strength of transition dipole moment, and charge different density show the orientation of charge transfer in TPA. The 2D site representation can reveal visually the electron-hole coherence in TPA. The combination of 2D site and 3D cube representations provide clearly inspect into the charge transfer process and the contribution of excited molecular segments for TPA.

Narrative Representations in Adolescents With Learning Difficulties

This research develops from clinical practice. Our aim is to provide a precise description of mental functioning of adolescents with learning difficulties (LDs) in order to improve the knowledge of this kind of problems and consequently to get better therapeutic approaches. We focus on narrative representations and we study how these adolescents construct and build stories. We assess 40 adolescents through the use of two kind of tests: Thematic Apperception Test (TAT) and Wechsler Intelligence Scale for Children (WISC-III). In addition, we compare this group with another clinical sample of adolescents. In our sample, learning difficulties are not linked to lower cognitive level, but can be understood as a maturational gap. In the narratives of the adolescents with LDs, we find a typical adolescent narrative: In most cases, the protagonist starts from a position of dependence finally reaching a position of greater autonomy. There are significant differences between the males and females in our sample, which suggest a different mode of learning ability and disability for each sex.

CANONICAL REPRESENTATIONS AND DEGREE OF FREEDOM FORMULAE OF ORTHOGONAL TENSORS IN N-DIMENSIONAL EUCLIDEAN SPACE

In this paper, with the help of the eigenvalue properties of orthogonal tensors in n-dimensional Euclidean space and the representations of the orthogonal tensors in 2-dimensional space, the canonical representations of orthogonal tensors in n-dimensional Euclidean space are easily gotten. The paper also gives all the constraint relationships among the principal invariants of arbitrarily given orthogonal tensor by use of Cayley-Hamilton theorem; these results make it possible to solve all the eigenvalues of any orthogonal tensor based on a quite reduced equation of m-th order, where m is the integer part ofn \2. Finally, the formulae of the degree of freedom of orthogonal tensors are given.

＂A Walk in Between＂--On Hart Crane＇s Imagination of Representational Space and Representations of Space in The Bridge

In this paper, Henri Lefebvre＇s theorizations about representational space and representations of space will be employed to examine Hart Crane＇s imagination of them in The Bridge. First, according to Lefebvre, representations of space are created with violence for the purpose of accumulating capital. On the other hand, representational space is directly lived or affectively felt, opened up by inhabitants＇ imagination. In addition, Lefebvre points out that in abstract space, representational space will be invaded by representations of space. In The Bridge, Crane＇s affective experience with the Brooklyn Bridge or the subway indicates that he treats New York as a representational space. Besides, Crane expresses his concern for how capitalism has encroached on it. It would seem that Crane has followed Lefebvre＇s line of thinking in The Bridge. However, it is actually a specious analysis because both the Brooklyn Bridge and the subway are representations of space. And in this long poem, Crane feels the urban space through history, which plays a key role in creating representations of space. Thus, we can conclude that Crane is actually taking ＂a walk in between＂ in The Bridge. With his imagination, Crane has combined representations of space and representational space into his own poetic vision.

Hierarchical Representations Feature Deep Learning for Face Recognition

Most modern face recognition and classification systems mainly rely on hand-crafted image feature descriptors. In this paper, we propose a novel deep learning algorithm combining unsupervised and supervised learning named deep belief network embedded with Softmax regress (DBNESR) as a natural source for obtaining additional, complementary hierarchical representations, which helps to relieve us from the complicated hand-crafted feature-design step. DBNESR first learns hierarchical representations of feature by greedy layer-wise unsupervised learning in a feed-forward (bottom-up) and back-forward (top-down) manner and then makes more efficient recognition with Softmax regress by supervised learning. As a comparison with the algorithms only based on supervised learning, we again propose and design many kinds of classifiers: BP, HBPNNs, RBF, HRBFNNs, SVM and multiple classification decision fusion classifier (MCDFC)—hybrid HBPNNs-HRBFNNs-SVM classifier. The conducted experiments validate: Firstly, the proposed DBNESR is optimal for face recognition with the highest and most stable recognition rates;second, the algorithm combining unsupervised and supervised learning has better effect than all supervised learning algorithms;third, hybrid neural networks have better effect than single model neural network;fourth, the average recognition rate and variance of these algorithms in order of the largest to the smallest are respectively shown as DBNESR, MCDFC, SVM, HRBFNNs, RBF, HBPNNs, BP and BP, RBF, HBPNNs, HRBFNNs, SVM, MCDFC, DBNESR;at last, it reflects hierarchical representations of feature by DBNESR in terms of its capability of modeling hard artificial intelligent tasks.

Reading, Habitus, and Social Representations in a University Context

The lack of reading habits among Mexican population is an idea based on national and international indicators, which illustrate the danger of this situation; however, these indicators fail to go deeper into the problem. This project was aimed to obtain more information about the habitus and social representations of college students reading habits, using as theoretical elements the principles developed by Pierre Bourdieu and Serge Moscovici. The project was developed in a public university, located in Mexico＇s northeast region; 19 students were part of the sample group. Two research tools were used to obtain data： survey and focus group. The project analyzed academic and environmental aspects, beyond the ＂ought to be＂, that affected the development and provided characteristics on the daily sociocultural reality of the students, with a view of the real environment of the students without ＂make-up＂. The project deepened into the analysis of the reading practices and not only the usual numeric indicators, which traditionally condemn the reading practices in Mexico. The results of this study showed that students read a lot more than what they and their teachers think they do, this taking into consideration electronic documents, general interest publications, and commercial magazines, among others. The point of view of some teachers and researchers, when it comes to reading habits recognize non-academic, simple and interesting reading more important impact on their reading habits shows a tendency to be pedantic and canonic; it does not for young people, which in the long term, could have a