scholarly journals Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Ursula Beermann ◽  
Georg Hosoya ◽  
Ines Schindler ◽  
Klaus R. Scherer ◽  
Michael Eid ◽  
...  
Keyword(s):  
Profile Analysis ◽  
Principal Component ◽  
Semantic Space ◽  
Dimensional Structure ◽  
Internal Organization ◽  
Large Sets ◽  
Grid Approach ◽  
The Aesthetic ◽  
Nature Scenes ◽  
Action Tendencies

Aesthetic emotions are elicited by different sensory impressions generated by music, visual arts, literature, theater, film, or nature scenes. Recently, the AESTHEMOS scale has been developed to facilitate the empirical assessment of such emotions. In this article we report a semantic profile analysis of aesthetic emotion terms that had been used for the development of this scale, using the GRID approach. This method consists of obtaining ratings of emotion terms on a set of meaning facets (features) which represent five components of the emotion process (appraisal, bodily reactions, action tendencies, expression, and feelings). The aims here were (a) to determine the dimensionality of the GRID features when applied to aesthetic emotions and compare it to published results for emotion terms in general, and (b) to examine the internal organization of the domain of aesthetic emotion terms in order to identify salient clusters of these items based on the similarity of their feature profiles on the GRID. Exploratory Principal Component Analyses suggest a four-dimensional structure of the semantic space consisting of valence, power, arousal, and novelty, converging with earlier GRID studies on large sets of standard emotion terms. Using cluster analyses, 15 clusters of aesthetic emotion terms with similar GRID feature profiles were identified, revealing the internal organization of the aesthetic emotion terms domain and meaningful subgroups of aesthetic emotions. While replication for further languages is required, these findings provide a solid basis for further research and methodological development in the realm of aesthetic emotions.

scholarly journals Tripleurin XIIc: Peptide Folding Dynamics in Aqueous and Hydrophobic Environment Mimic Using Accelerated Molecular Dynamics

Molecules ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 358 ◽  
Author(s):  
Chetna Tyagi ◽  
Tamás Marik ◽  
András Szekeres ◽  
Csaba Vágvölgyi ◽  
László Kredics ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Principal Component ◽  
Helical Structure ◽  
Fungal Species ◽  
Dimensional Structure ◽  
Peptide Backbone ◽  
Water Solvent ◽  
Leibler Divergence ◽  
Folding Dynamics ◽  
Beta Hairpin

Peptaibols are a special class of fungal peptides with an acetylated N-terminus and a C-terminal 1,2-amino alcohol along with non-standard amino acid residues. New peptaibols named tripleurins were recently identified from a strain of the filamentous fungal species Trichoderma pleuroti, which is known to cause green mould disease on cultivated oyster mushrooms. To understand the mode of action of these peptaibols, the three-dimensional structure of tripleurin (TPN) XIIc, an 18-mer peptide, was elucidated using an enhanced sampling method, accelerated MD, in water and chloroform solvents. Non-standard residues were parameterized by the Restrained Electrostatic Potential (RESP) charge fitting method. The dihedral distribution indicated towards a right-handed helical formation for TPN XIIc in both solvents. Dihedral angle based principal component analysis revealed a propensity for a slightly bent, helical folded conformation in water solvent, while two distinct conformations were revealed in chloroform: One that folds into highly bent helical structure that resembles a beta-hairpin and another with an almost straight peptide backbone appearing as a rare energy barrier crossing event. The hinge-like movement of the terminals was also observed and is speculated to be functionally relevant. The convergence and efficient sampling is addressed using Cartesian PCA and Kullback-Leibler divergence methods.

Efficiency Improvement of Classification Model Based on Altered K-Means Using PCA and Outlier

2019 ◽  
Vol 29 (05) ◽  
pp. 693-713 ◽  
Author(s):  
Se-Hoon Jung ◽  
Jong-Chan Kim
Keyword(s):  
Big Data ◽  
Performance Improvement ◽  
Principal Component ◽  
Classification Model ◽  
Dimensional Structure ◽  
Efficiency Improvement ◽  
Ideal Points ◽  
Management Techniques ◽  
Clustering Validity ◽  
Optimal Cluster

In the generation and analysis of Big Data following the development of various information devices, the old data processing and management techniques reveal their hardware and software limitations. Their hardware limitations can be overcome by the CPU and GPU advancements, but their software limitations depend on the advancement of hardware. This study thus sets out to address the increasing analysis costs of dense Big Data from a software perspective instead of depending on hardware. An altered [Formula: see text]-means algorithm was proposed with ideal points to address the analysis costs issue of dense Big Data. The proposed algorithm would find an optimal cluster by applying Principal Component Analysis (PCA) in the multi-dimensional structure of dense Big Data and categorize data with the predicted ideal points as the central points of initial clusters. Its clustering validity index and [Formula: see text]-measure results were compared with those of existing algorithms to check its excellence, and it had similar results to them. It was also compared and assessed with some data classification techniques investigated in previous studies and we found that it made a performance improvement of about 3–6% in the analysis costs.

scholarly journals Non-linear complex principal component analysis of nearshore bathymetry

2005 ◽  
Vol 12 (5) ◽  
pp. 661-670 ◽  
Author(s):  
S. S. P. Rattan ◽  
B. G. Ruessink ◽  
W. W. Hsieh
Keyword(s):  
Principal Component Analysis ◽  
Data Structure ◽  
Linear Method ◽  
Principal Component ◽  
Component Analysis ◽  
Dimensional Structure ◽  
Linear Phase ◽  
Linear Complex ◽  
Amplitude Variability ◽  
Non Linear

Abstract. Complex principal component analysis (CPCA) is a useful linear method for dimensionality reduction of data sets characterized by propagating patterns, where the CPCA modes are linear functions of the complex principal component (CPC), consisting of an amplitude and a phase. The use of non-linear methods, such as the neural-network based circular non-linear principal component analysis (NLPCA.cir) and the recently developed non-linear complex principal component analysis (NLCPCA), may provide a more accurate description of data in case the lower-dimensional structure is non-linear. NLPCA.cir extracts non-linear phase information without amplitude variability, while NLCPCA is capable of extracting both. NLCPCA can thus be viewed as a non-linear generalization of CPCA. In this article, NLCPCA is applied to bathymetry data from the sandy barred beaches at Egmond aan Zee (Netherlands), the Hasaki coast (Japan) and Duck (North Carolina, USA) to examine how effective this new method is in comparison to CPCA and NLPCA.cir in representing propagating phenomena. At Duck, the underlying low-dimensional data structure is found to have linear phase and amplitude variability only and, accordingly, CPCA performs as well as NLCPCA. At Egmond, the reduced data structure contains non-linear spatial patterns (asymmetric bar/trough shapes) without much temporal amplitude variability and, consequently, is about equally well modelled by NLCPCA and NLPCA.cir. Finally, at Hasaki, the data structure displays not only non-linear spatial variability but also considerably temporal amplitude variability, and NLCPCA outperforms both CPCA and NLPCA.cir. Because it is difficult to know the structure of data in advance as to which one of the three models should be used, the generalized NLCPCA model can be used in each situation.

scholarly journals Impurity profile analysis of drug products containing acetylsalicylic acid: a chemometric approach

2013 ◽  
Vol 11 (7) ◽  
pp. 1091-1100 ◽  
Author(s):  
Joanna Ronowicz ◽  
Bogumiła Kupcewicz ◽  
Joanna Mydłowska ◽  
Elżbieta Budzisz
Keyword(s):  
Acetylsalicylic Acid ◽  
Profile Analysis ◽  
Principal Component ◽  
Analytical Techniques ◽  
Hierarchical Cluster ◽  
Data Sets ◽  
Impurity Profile ◽  
Hierarchical Segmentation ◽  
Drug Products ◽  
Impurity Profiles

AbstractIn this work attention is focused on impurity profile analysis in combination with infrared spectroscopy and chemometric methods. This approach is considered as an alternative to generally complex and time-consuming classic analytical techniques such as liquid chromatography. Various strategies for constructing descriptive models able to identify relations among drug impurity profiles hidden in multivariate chromatographic data sets are also presented and discussed. The hierarchical (cluster analysis) and non-hierarchical segmentation algorithms (k-means method) and principal component analysis are applied to gain an overview of the similarities and dissimilarities among impurity profiles of acetylsalicylic acid formulations. A tree regression algorithm based on infrared spectra is used to predict the relative content of impurities in the drug products investigated. Satisfactory predictive abilities of the models derived indicate the possibility of implementing them in the quality control of drug products.

scholarly journals Biochemical variances through metabolomic profile analysis of Capsicum chinense Jacq. during fruit development

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yaping Tang ◽  
Guoru Zhang ◽  
Tao Yang ◽  
Shengbao Yang ◽  
Patiguli Aisimutuola ◽  
...  
Keyword(s):  
Fatty Acid Biosynthesis ◽  
Developmental Stages ◽  
Profile Analysis ◽  
Principal Component ◽  
Hot Pepper ◽  
Capsicum Chinense ◽  
High Concentration ◽  
Ripening Period ◽  
Ripening Stages ◽  
New Findings

Abstract Capsicum chinense Jacq. is classified under the Solanaceae family, which is an extensively consumed spice and vegetable globally. Therefore, to gain more knowledge and insight into the diversity of Capsicum chinense Jacq. metabolites, a total of 18 placental tissues from various development stages were collected and untargeted metabolomics was conducted by means of ultra-performance liquid chromatography (UPLC) and mass spectrometry (MS). Principal component analysis (PCA) analysis established the existence of distinct metabolite distribution patterns as observed at 16 days post anthesis (DPA), compared with the metabolites at 36 and 48 DPA groups, whereas there was a difference in metabolites between the orange ripening period (B) and the red ripening period (C), which intersected with each other. Furthermore, several pathways including metabolic pathways, biosynthesis of phenylpropanoids, ABC transporters, alanine, aspartate and glutamate metabolism, fatty acid biosynthesis, pentose and glucoronate pathways, secondary metabolites biosynthesis, cutin, biosynthesis of suberine and wax were significantly enriched across the fruit ripening stages. The capsaicin content was observed to be less in the early ripening stages, but gradually increased to a high concentration during the late ripening stages. In conclusion, our study findings submit a suitable approach for interpreting the biochemical variances of non-targeted metabolomics in hot pepper developmental stages, as well as offer new findings that can be applied in the development strategies in breeding of Capsicum chinense Jacq.

scholarly journals Extracting Phylogenetic Information of Human Mitochondrial DNA by Linear Autoencoder

2021 ◽  
Author(s):  
Takuto Shimazaki ◽  
Kazuki Nishimoto ◽  
Hirohiko Niioka ◽  
Jun Miyake
Keyword(s):  
Mitochondrial Dna ◽  
Error Function ◽  
Principal Component ◽  
Dimensional Structure ◽  
Order Structure ◽  
Mtdna Sequences ◽  
Genetic Classification ◽  
Learning Dynamics ◽  
Human Mitochondrial Dna ◽  
Evolutionary Pathways

We used a linear autoencoder (LAE) and its learning dynamics to analyze the high-order structure of human mitochondrial DNA (mtDNA). A total of 360 complete human mtDNA sequences were collected from the MITOMAP database and transformed into 1024-dimensional vectors of pentanucleotide frequencies. We compressed those into a three-dimensional (3D) coordinates by an LAE at each step of training by gradient descent with respect to the quadratic error function. Along the time axis of training epochs, the compressed 3D coordinates were gradually clustered and separated in accordance with the order of the genetic distance in the phylogenetic tree of human mtDNA haplogroups. This suggests that there is an association between the learning dynamics of LAE and the high-dimensional structure of human mtDNA sequences, similar to that of phylogenetic analysis and evolutionary pathways: the five clusters eventually contained only a single haplogroup of L0, M, N, R, and U, while the L3 cluster contained a small number of M members and The packing was comparable to that realized in learning dynamics similar to genetic classification and evolutionary pathways by LAE in principal component analysis (PCA), but somewhat denser than PCA.

The panel of Aigües de Barcelona: 15 years of history

2004 ◽  
Vol 49 (9) ◽  
pp. 145-151 ◽  
Author(s):  
R. Devesa ◽  
C. Fabrellas ◽  
R. Cardeñoso ◽  
L. Matia ◽  
F. Ventura ◽  
...  
Keyword(s):  
Quality Control ◽  
Standard Method ◽  
Quality Index ◽  
Profile Analysis ◽  
Entire Period ◽  
Basic Tool ◽  
Aesthetic Quality ◽  
Flavour Profile ◽  
The Aesthetic ◽  
And Training

The Aigües de Barcelona Laboratory has been working on odour and taste research in water for 15 years. During the entire period its basic tool has been the FPA (Flavour Profile Analysis) standard method, used by a group of trained tasters. This paper reports the main activities of the panel in recent years, such as the recruitment and training of panellists, the wheel of descriptors used, the Aesthetic Quality Index (AQI) developed for the quality control of water supplies, various research studies, and taste and odour episodes in which it has helped.

Hox gene expression profiles during embryonic development of common sole

2019 ◽  
Vol 69 (2) ◽  
pp. 183-198
Author(s):  
Menelaos Kavouras ◽  
Emmanouil E. Malandrakis ◽  
Eleni Golomazou ◽  
Ioannis Konstantinidis ◽  
Ewout Blom ◽  
...  
Keyword(s):  
Gene Expression ◽  
Embryonic Development ◽  
First Generation ◽  
Profile Analysis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Pairwise Comparison ◽  
Principal Component ◽  
Valuable Insight ◽  
Common Sole

Abstract Common sole (Solea solea) aquaculture production is based mostly on wild-caught breeders. Recently, the successful reproduction of first-generation fish that were reared in captivity was accomplished. A consistent good quality and quantity of produced eggs throughout the year, and of next-generation broodstock, is important for reducing the overall cost of production. Hox genes play a pivotal role in normal embryonic development and alterations of their temporal expression level may be important for egg viability. Expression profile analysis of five hox genes (hoxa1a, hoxa2a, hoxa2b, hoxb1a and hoxb1b) involved in early embryonic development and of hoxa13a, which is involved in late stages, was carried out. Results revealed a premature and/or maternal expression of hoxa13a in sole embryos, and the detection of hoxa2a and hoxa2b genes as members of paralog group 2. Principal Component Analysis of hox gene expression in 54 ± 6 hours post fertilization embryos coming from wild-caught broodstock and a first-generation one reared in the hatchery, unveiled that these broodstocks are clearly distinct. In addition, their pairwise comparison revealed significant differences in the expression levels of hoxb1a and hoxb1b genes. Hox gene regulation during embryonic development could give valuable insight into rearing sole broodstocks with different origin in concert, and also into gaining a steady mass production of eggs, either in quality or quantity, all year round.

scholarly journals SACRALITY IN THE DIVERSITY OF MODERN LITERATURE: HUMANISM OR VALUE DESTRUCTIVENESS?

2020 ◽  
Vol 16 (2) ◽  
pp. 28-33
Author(s):  
Irina Lazorevich
Keyword(s):  
Rapid Development ◽  
Semantic Space ◽  
Value Orientations ◽  
Modern Literature ◽  
Historical Period ◽  
The Bible ◽  
Christian Worldview ◽  
Fantasy Novels ◽  
Christian Literature ◽  
The Aesthetic

In a secularized society, on the base of the rapid development of technologization and globalization, we also observe an intensive "return" of the sacred. It "returns" with the growth of nostalgia for the personalism of social relationships. And this return is reflected, in particular, through the phenomena of contemporary art – some of them are filled with appropriate symbolism and emotional atmosphere. Undoubtedly, there is no historical period, which would be characterized by complete secularization and the absence of any sacredness. However, in the modern era, the uniqueness of the sacred is that it is not just a religious phenomenon. Because today's semantic space of the sacred is not only the idea of God, it is also about justice, identity, self-sacrifice and the search for answers. This is one of the main categories of value orientations, which relates to anthropological reality in all its diversity. In this article, the author analyzes the manifestations of the Christian worldview and sacred meanings in modern literature work: the means of their expression and symbolism. After all, the Bible in modern literature is used in a unique way. Definitely, there are still a number of important Christian literature works, but more and more often artists use biblical symbolism to embody their creative ideas without mentioning Christian saints or biblical quotations. The researcher examines a number of particularly popular fantasy novels of the early third millennium, in which the plotline is interwoven with elements of Christian sacredness and value categories, the meanings of their ideological guidelines. Cult literature works are also analyzed, where sacredness is hidden under other layers of meaning. In these works, the sacred is not immediately demonstrated, it may be seen in the value potential of the profane. The reverse side of Christian sacredness is also comprehended – on the basis of works of art about demons and Satan, the artistic and ideological purpose of these works is considered. All this is subordinated to the goal of understanding the influence of ideas about the sacred (and in general – the transcendent) in its modern cultural expression on the transformation of the aesthetic axiosphere. The research is at the interdisciplinary intersection of religious studies, philosophy of religion, culturology and aesthetics.

Sign in / Sign up

Export Citation Format

Share Document