Mutual Correlations Research Articles

The costs of hydrogen and conventional energy carriers: temporal evolutions and mutual price correlations – global insights with a focus on Belgium

ABSTRACT Energy systems design is challenged by uncertainties in energy carrier costs. This study explores hydrogen and conventional energy carrier costs, providing global insights with a focus on Belgium. Over two years, European natural gas prices surged 55-fold, while solid biomass prices varied only 1.8-fold over 13 years. Regression analysis (adjusted R 2 >0.9) reveals mutual correlations among energy carriers, allowing for cost ranking relative to the natural gas price. The relationship between electricity and natural gas prices underscores financial challenges for heat pumps in Belgium. Hydrogen cost estimations for 2024 are 43.7, 48.8, 16.4, and 17.5 €/GJH2,LHV for green, yellow (grid), grey and blue hydrogen, respectively. Achieving cost parity between blue and grey hydrogen requires a carbon tax of 67.5–123 €/tonCO2. Present approach incorporates uncertainties in energy carrier costs by varying natural gas price scenarios, facilitating prompt identification of cases for in-depth evaluation in future energy systems.

Стандартизация методики «Климат в классе» в Республике Беларусь

<p>The concept of "Classroom climate" has a broad semantics. It covers the quality of interaction not only between students and teachers, but also with classmates at the managerial, social, emotional and academic levels. It is shown that students' subjective perception of the classroom climate carries their behavior, psychological well-being and success in teaching students, as well as their personal characteristics, the development of abilities and giftedness. The use of an evidence-based approach in education improves the quality of psychological tools used in different regions of the Russian Federation and other countries. The article reflects the standardization of the questionnaire "Climate in the classroom" in the Republic of Belarus. The study sample consisted of 425 school students from different regions of the Republic of Belarus (Minsk, Rogachev and Zhlobin) aged 10-18 years (54,35% female). The average age was 15±1 years (median=15 years). Using confirmatory factor analysis, the six-factor structure of the questionnaire was statistically validated, and its structure demonstrated satisfactory alignment with the empirical data. The Cronbach's alpha coefficient confirms the internal consistency of the scales, with their mutual correlations being at a moderate level. The magnitude and direction of the relationships are consistent with the expected outcomes. The convergent and differential validity of the questionnaire scales has been tested on the scales of the Multidimensional Life Satisfaction Scale (SHUJI) and academic performance. The questionnaire is recommended to school psychologists and teachers for psychological and pedagogical support of students from different age groups to create a favorable school environment.</p>

A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes

In-depth multiomic phenotyping provides molecular insights into complex physiological processes and their pathologies. Here, we report on integrating 18 diverse deep molecular phenotyping (omics-) technologies applied to urine, blood, and saliva samples from 391 participants of the multiethnic diabetes Qatar Metabolomics Study of Diabetes (QMDiab). Using 6,304 quantitative molecular traits with 1,221,345 genetic variants, methylation at 470,837 DNA CpG sites, and gene expression of 57,000 transcripts, we determine (1) within-platform partial correlations, (2) between-platform mutual best correlations, and (3) genome-, epigenome-, transcriptome-, and phenome-wide associations. Combined into a molecular network of > 34,000 statistically significant trait-trait links in biofluids, our study portrays “The Molecular Human”. We describe the variances explained by each omics in the phenotypes (age, sex, BMI, and diabetes state), platform complementarity, and the inherent correlation structures of multiomics data. Further, we construct multi-molecular network of diabetes subtypes. Finally, we generated an open-access web interface to “The Molecular Human” (http://comics.metabolomix.com), providing interactive data exploration and hypotheses generation possibilities.

Elderflowers (Sambuci flos L.): A Potential Source of Health-Promoting Components.

Elderflowers are used for both culinary and health purposes. Their composition and, therefore, their properties depend on the variety from which they were obtained. The aim of this study was to compare six cultivated varieties with the wild form. The research included determining the basic chemical composition, bioactive ingredients and antioxidant activity. This research confirms that elderberry flowers are rich in bioactive ingredients. The wild form turned out to be the most rich in bioactive ingredients, while among the tested varieties it was 'Weihenstephan'; both of these forms were characterized by a high content of polyphenols (394.36 and 377.75 mg/100 g dm, respectively) and antioxidant activity. The PCA analysis showed general differences in the chemical composition of elderberry flowers, depending on the variety, in relation to 23 variables, as well as showing their mutual correlations and the strength of their influence on the PCA model.

Genetic Regulation of Physical Fitness in Children: A Twin Study of 15 Tests from Eurofit and Fitnessgram Test Batteries.

This study aimed to analyze the shared genetic background of physical fitness tests in children. Physical fitness was assessed in 198 Portuguese twin pairs (6-18 yr old, 40% monozygotic) through 15 tests from the Eurofit and Fitnessgram test batteries. Genetic twin modeling was used to estimate the heritability of each test and the genetic correlations between them. Girls performed better than boys in flexibility, whereas boys performed better than girls in cardiorespiratory endurance and muscular strength. No sex differences were found in the influence of genetic factors on the physical fitness tests or their mutual correlations. Genetic factors explained 52% (standing long jump) to 79% (sit and reach) of the individual variation in motor performance, whereas individual-specific environmental factors explained the remaining variation. Most of the tests showed modest to moderate genetic correlations. Out of all 105 genetic correlations, 65% ranged from 0.2 to 0.6 indicating that they shared from 4% to 36% of genetic variation. The correlations between individual-specific environmental factors were mostly negligible. Tests measuring the strength of different muscle groups showed only modest correlations, but moderate correlations were found between tests measuring explosive strength, running speed/agility, and cardiorespiratory endurance. Genetic factors explained a major portion of the variation in tests included in the Eurofit and Fitnessgram test batteries and explained the correlations between them. The modest to moderate genetic correlations indicated that there is little redundancy of tests in either Eurofit or Fitnessgram test batteries.

A Novel Localized Fast Multipole Method for Computations With Spatially Correlated Observation Error Statistics in Data Assimilation

AbstractSeveral observation types (e.g., geostationary satellite and Doppler radar observations) have recently been found to exhibit strong spatial error correlations. Including these error statistics in data assimilation for numerical weather prediction can improve analysis quality and forecast skill. Moreover, it allows for increases in the spatial density of observations assimilated, which is needed for the provision of information on appropriate scales for high‐resolution forecasting. However, introducing correlated error statistics may increase the computational complexity and parallel communication costs of matrix‐vector products involving observation precision matrices (inverse observation error covariance matrices). Without new approaches, we cannot take full advantage of new observation uncertainty estimates. We develop a new numerical approximation method based on a particular type of fast multipole method and a domain localization approach. The basic idea is to divide the observation domain into boxes and then separate calculations of matrix‐vector products according to the partition. These calculations can be done in parallel with very low communication overheads. The new method is easy to implement and parallelize, and it is applicable to a wide variety of observation precision matrices. We applied the new method to a simple variational data assimilation problem and found that the computational cost of the variational minimization was dramatically reduced while preserving analysis accuracy across a range of scales. The new method has the potential to be used as an efficient technique for practical applications where a large number of observations with mutual error correlations need to be assimilated quickly.

On the immanentization of the religious ideal in the culture (according to "Diaries" of Protopresbyter Alexander Schmemann)

The problem of the immanentization of the religious ideal is explicated in the context of cultural history as a synchronous "movement" from idea to ideal and from ideal to idea. In the process of realizing the idea of the transcendent within the framework of the Christian tradition, its immanentization takes place – reduction to ultimate forms that can be considered based on the intuition of potential infinity (ancient tradition) and based on the intuition of actual infinity (Christian philosophy). The intuition of actual infinity is actualized in the eschatological relation to the Other, and the intuition of potential infinity in the principle of hierarchy, universal for the Christian tradition. The synthesis of these intuitions, with the predominance of one of them, is a tragedy for the Christian tradition, which determines the peculiarities of the spiritual searches of thinkers. The reflection of this tragedy in the works of Alexander Schmemann suggests a return to the "attitude" characteristic of early Christianity for the future, correlating with the preserved tradition based on hierarchy. At the same time, the philosopher's spiritual quest reflects the process of devaluation of the hierarchical principle in Christian culture, stimulating the inversion of the hierarchy, when transcendence can be realized through low-ranking humor and foolishness. The work uses the method of historical and philosophical reconstruction, which allows to identify the features of the interaction of the transcendent and immanent in certain philosophical and religious concepts. The synchronic method explicates the mutual correlations between philosophical and religious concepts belonging to the same historical period. The diachronic method makes it possible to actualize the features of the immanentization of the religious ideal in the work of thinkers belonging to different historical periods. The scientific novelty of the research lies in the combination of reflection on the relationship between the transcendent and the immanent, carried out on a rational basis by European philosophy and the study of the experience of transcendence described by specific Christian writers and thinkers (in particular St. Augustine). Thanks to this combination, the study realized the possibility of considering the relationship of the transcendent and immanent in the history of European philosophy using the logic of the symbol by A.F. Losev, when the structure of the interaction of the symbolized and the symbolizing is extrapolated to the correlation of the transcendent and immanent, and the scope of the concept of "transcendent-immanent" becomes equivalent to its content. The process of immanentization of the transcendent is considered simultaneously from the outside (from the point of view of the dialectic of concepts) and from the inside from the point of view of changing the paradigm of religious life in culture, which allows us to take into account its features.

Effects of weather and climate on fluctuations of grain prices in southwestern Bohemia, 1725–1824 CE

Abstract. Grain prices in early modern Europe reflected the effects of weather and climate on crop yields and a complex array of societal and socio-economic factors. This study presents a newly developed series of grain prices for Sušice (southwestern Bohemia, Czech Republic) for the period 1725–1824 CE, based on various archival sources. It aims to analyse their relationships with weather and climate, represented by temperature, precipitation, and drought (self-calibrated Palmer Drought Severity Index, scPDSI) reconstructions, as well as particular weather extremes and anomalies reported in documentary evidence. Wheat, rye, barley, and oats series in Sušice showed high mutual correlations. The mean highest prices during the year typically occurred from May to July before the harvest, while prices usually declined afterwards. Wheat, rye, and barley prices were significantly negatively correlated with spring temperatures and positively correlated with scPDSI from winter to summer. This indicates that wetter winters, cooler and wetter springs, and wetter summers contributed to higher prices. The extremely high grain prices in the years 1746, 1771–1772, 1802–1806, and 1816–1817 were separately analysed with respect to weather and climate patterns and other socio-economic and political factors. The results obtained were discussed in relation to data uncertainty, factors influencing grain prices, and the broader European context.

Comparison of the distributions of centrality indices: Using spatial big data to understand urban spatial structure

This article seeks to estimate various centrality indices based on spatial big data in terms of urban form, function, and location potential within a metropolitan area; it also comparatively analyzes the morphological differences in urban spatial structure between the centrality indices. As a result of estimating the centrality index for each dimension related to the urban spatial structure of the Seoul metropolitan region based on big data, the differentiated distribution patterns of urban centers were confirmed according to the characteristics of available big data by a quantitative and three-dimension morphological comparison methodology. The Mantel tests showed statistically significant mutual correlations between all centrality indices; however, the Passing–Bablok regressions revealed that the location potential centrality defined as Hansen-type accessibility was significantly different from the two centrality indices of the as urban form and function dimensions. The centrality of various dimensions in this paper includes not only the spatial characteristics of detailed spatial units but also the temporal characteristics theoretically. These results imply the need for comprehensive research to be carried out on urban spatial structure and centrality in accordance with the polycentric pattern of spatial structure in metropolitan areas.

Metabolomic profiling of the aqueous humor in patients with pediatric cataract

Pediatric cataract, including congenital and developmental cataract, is a kind of pediatric vision-threatening disease with extensive phenotypic heterogeneity and multiple mechanisms. We aimed to investigate the metabolite profile of aqueous humor (AH) in patients with pediatric cataracts, and identify underlying mutual correlations between differential metabolites. Metabolomic profiles of AH were analyzed and compared between pediatric cataract patients (n = 33) and age-related cataract patients without metabolic diseases (n = 29), using global untargeted metabolomics with ultra-high-performance liquid chromatography tandem mass spectrometry. Principal component analysis, partial least squares discriminant analysis and heat map were applied. Enriched pathway analysis was conducted using Kyoto Encyclopedia of Genes and Genomes. Receiver-operating characteristic (ROC) analyses were employed to select potential biomarkers. A total of 318 metabolites were identified, of which 54 differential metabolites (25 upregulated and 29 downregulated) were detected in pediatric cataract group compared with controls (variable importance of projection >1.0, fold change ≥1.5 or ≤ 0.667 and P < 0.05). A significant accumulation of N-Acetyl-Dl-glutamic acid was observed in pediatric cataract group. The differential metabolites were mainly enriched in histidine metabolism (increased L-Histidine and decreased 1-Methylhistamine) and the tryptophan metabolism (increased N-Formylkynurenine and L-Kynurenine). 5-Aminosalicylic acid showed strong positive mutual inter-correlation with L-Tyrosinemethylester and N,N-Diethylethanolamine, both of which were down-regulated in pediatric cataract group. The ROC analysis implied 11 metabolites served as potential biomarkers for pediatric cataract patients (all area under the ROC curve ≥0.900). These results illustrated novel potential metabolites and metabolic pathways in pediatric cataract, which provides new insights into the pathophysiology of pediatric cataract.

Neurometabolic activity in the thalamic and frontal cortex and cognitive functions in adolescents with generalized epileptic syndromes

The study aimed to analyse the mutual correlations between the metabolic activity of the brain evaluated by the magnetic resonance spectroscopy method (MRS) and intelligence and cognitive functions in adolescents with idiopathic generalised epilepsies (IGE). The focus of the study was placed on the activity of the thalamus and frontal cortex.Twenty newly diagnosed patients with juvenile absence epilepsy (JAE) and juvenile myoclonic epilepsy (JME) were included in the study. Adolescents underwent primary structural neuroimaging (1.5T) and advanced evaluation of the frontal cortex and thalamus by MRS. Concentrations of N-acetyl aspartate (NAA), creatine plus phosphocreatine (Cr) and choline (Cho) were measured and were expressed as ratios of NAA/Cr, NAA/Ch and NAA/Cr+Ch. Patients also completed a panel of IQ and cognitive tests (e.g., FePsy Battery – classification test, verbal fluency test, RAVLT memory test). The correlation between the level of metabolites and the results of intellectual and cognitive tests was examined.Strong correlations were found between IQ and some cognitive functions and metabolic ratios in the IGEs group. Overall the patients whose NAA/Cr, NAA/Ch, NAA/Cr+Ch ratios were lower, obtained worse results in IQ and in some of the neuropsychological tests.The metabolite activity in the thalamus and frontal cortex impacts the results of neuropsychological tests in the group of patients with IGE.

Mutual correlations of complexity indices of the crystal structure for the series of mercury-containing minerals

Abstract The correlations of values of the crystal structure complexity indices were calculated using the major modern approaches (10 indices in total), in particular, those, proposed by Krivovichev, Oganov, the concept of implicit hierarchical depth, as well as, for the comparison, the measure of regularity of (r, R)-system introduced by Blatov. To find the correlations, a series of 33 mercury-containing mineral structures with a non-repeating system of crystallographic positions occupied by atoms without any partial occupancy was used. It was shown that almost all pairs of complexity indices are statistically significantly (p &lt; 0.05) positively or negatively correlated. The discriminating power of the indices for the set of structures was calculated. It is discussed that all the indices can be used to assess the complexity for any series of the crystal structures, but each of them has its particular advantages and limitations.

The Correlation between Dimensions of Sustainability Literacy: The Case of British and Turkish Students

The acquisition of the competencies of sustainability literacy through education requires an understanding of how sustainability literacy is shaped. In this connection, in the current study, the interaction between the following dimensions of sustainability literacy was investigated; SA (sustainability attitude), SB (sustainability behavior) and SK (sustainability knowledge). The study was conducted as a survey study on university students in the UK and Turkey within the context of a project entitled “Ecological Literacy Education” and supported by TUBITAK (Turkish Scientific and Technological Research Organization). The participants (n:1023) of the study are students attending several departments of Plymouth University in the UK and Mugla Sitki Kocman University in Turkey. The data were collected by using the Scale of Sustainability Literacy and analyzed using AMOS version 24. Although it was understood that there were mutual and positive correlations between the dimensions of sustainability literacy, it was revealed that the correlations between some sub-dimensions of these dimensions showed variation. The results of the study are expected to contribute to revealing the interaction between the dimensions of sustainability literacy in more detail and accordingly to the effectiveness of sustainability education.

QSAR Modeling of Sphingomyelin Synthase 2 Inhibitors for Their Potential as Anti-Atherosclerotic Agents

Sphingomyelin synthase 2 (SMS2) has emerged as a promising target for atherosclerosis threatment. However, the availability of selective SMS2 inhibitors and their associated pharmacological properties remains limited. This research paper explores various QSAR modeling techniques applied to a range of compounds acting as SMS2 inhibitors. Multiple distinct QSAR modeling methodologies were employed, including conformation-independent, GA-MLR and 3D based QSAR modeling, and their mutual correlations were investigated, Various statistical methods were applied to assess the quality, robustness, and predictive capacity of these developed models, yielding favorable results. Furthermore, molecular fragments derived from SMILES notation descriptors, which account for the observed changes in the evaluated activity, were defined. The methodology presented in this research holds potential for identifying novel agents for atherosclerosis treatment by targeting sphingomyelin synthase 2.

Phenotypic and genome-wide studies on dicarbonyls: major associations to glomerular filtration rate and gamma-glutamyltransferase activity

The dicarbonyl compounds methylglyoxal (MG), glyoxal (GO) and 3-deoxyglucosone (3-DG) have been linked to various diseases. However, disease-independent phenotypic and genotypic association studies with phenome-wide and genome-wide reach, respectively, have not been provided. MG, GO and 3-DG were measured by LC-MS in 1304 serum samples of two populations (KORA, n=482; BiDirect, n=822) and assessed for associations with genome-wide SNPs (GWAS) and with phenome-wide traits. Redundancy analysis (RDA) was used to identify major independent trait associations. Mutual correlations of dicarbonyls were highly significant, being stronger between MG and GO (ρ=0.6) than between 3-DG and MG or GO (ρ=0.4). Significant phenotypic results included associations of all dicarbonyls with sex, waist-to-hip ratio, glomerular filtration rate (GFR), gamma-glutamyltransferase (GGT), and hypertension, of MG and GO with age and C-reactive protein, of GO and 3-DG with glucose and antidiabetics, of MG with contraceptives, of GO with ferritin, and of 3-DG with smoking. RDA revealed GFR, GGT and, in case of 3-DG, glucose as major contributors to dicarbonyl variance. GWAS did not identify genome-wide significant loci. SNPs previously associated with glyoxalase activity did not reach nominal significance. When multiple testing was restricted to the lead SNPs of GWASs on the traits selected by RDA, 3-DG was found to be associated (p=2.3×10-5) with rs1741177, an eQTL of NF-κB inhibitor NFKBIA. This large-scale, population-based study has identified numerous associations, with GFR and GGT being of pivotal importance, providing unbiased perspectives on dicarbonyls beyond the current state. Deutsche Forschungsgemeinschaft, Helmholtz Munich, German Centre for Cardiovascular Research (DZHK), German Federal Ministry of Research and Education (BMBF).

Determination of correlations in multivariate count data with informative observation times.

We consider there are various types of recurrent events and the total number of occurrences are collected at the random observation times. It has concerned that the observation process may not be independent to the multivariate event processes, hence the total counts and observation times may be correlated and the dependence may exist among different types of the event processes as well. Many methods have developed nonparametric models to accommodate such unknown structures; however, it is difficult to assess and directly quantify their correlation relationships. A multivariate frailty model is proposed to this study, in which the event and observation processes are linked by frailty variables whose joint distribution can be implicitly specified through the multivariate normal distribution with some unknown covariance matrix. The Bayesian inference method is conducted to obtain the estimates of the regression coefficients and correlation parameters. We use a form of trigonometric functions to represent the covariance matrix, so that it meets the positive-definiteness condition efficiently during the estimation schemes. The simulation studies demonstrate the utility of the proposed models. We apply the model to a skin cancer prevention study, and aim to determine the covariate and association effects. We found treatment is significant in determining the duration of examination times; prior-counts, age and gender are significant variables on the occurrence rates of tumor counts. Using the covariance matrix to access the underlying dependent structure, the mutual correlations among them are all positive, and the basal cell counts are more related to the examination times.

Exploring Visual Relationships via Transformer-based Graphs for Enhanced Image Captioning

Image captioning (IC), bringing vision to language, has drawn extensive attention. A crucial aspect of IC is the accurate depiction of visual relations among image objects. Visual relations encompass two primary facets: content relations and structural relations. Content relations, which comprise geometric positions content (i.e., distances and sizes) and semantic interactions content (i.e., actions and possessives), unveil the mutual correlations between objects. In contrast, structural relations pertain to the topological connectivity of object regions. Existing Transformer-based methods typically resort to geometric positions to enhance the visual relations, yet only using the shallow geometric content is unable to precisely cover actional content correlations and structural connection relations. In this article, we adopt a comprehensive perspective to examine the correlations between objects, incorporating both content relations (i.e., geometric and semantic relations) and structural relations, with the aim of generating plausible captions. To achieve this, first, we construct a geometric graph from bounding box features and a semantic graph from the scene graph parser to model the content relations. Innovatively, we construct a topology graph that amalgamates the sparsity characteristics of the geometric and semantic graphs, enabling the representation of image structural relations. Second, we propose a novel unified approach to enrich image relation representations by integrating semantic, geometric, and structural relations into self-attention. Finally, in the language decoding stage, we further leverage the semantic relation as prior knowledge to generate accurate words. Extensive experiments on MS-COCO dataset demonstrate the effectiveness of our model, with improvements of CIDEr from 128.6% to 136.6%. Codes have been released at https://github.com/CrossmodalGroup/ER-SAN/tree/main/VG-Cap .

The Role of Intestinal Microbiota and Diet as Modulating Factors in the Course of Alzheimer's and Parkinson's Diseases.

Many researchers propose manipulating microbiota to prevent and treat related diseases. The brain-gut axis is an object that remains the target of modern research, and it is not without reason that many researchers enrich it with microbiota and diet in its name. Numerous connections and mutual correlations have become the basis for seeking answers to many questions related to pathology as well as human physiology. Disorders of this homeostasis as well as dysbiosis itself accompany neurodegenerative diseases such as Alzheimer's and Parkinson's. Heavily dependent on external factors, modulation of the gut microbiome represents an opportunity to advance the treatment of neurodegenerative diseases. Probiotic interventions, synbiotic interventions, or fecal transplantation can undoubtedly support the biotherapeutic process. A special role is played by diet, which provides metabolites that directly affect the body and the microbiota. A holistic view of the human organism is therefore essential.

Two Stochastic Methods to Model Initial Geometrical Imperfections of Steel Frame Structures

The stochastic modeling of geometrically imperfect steel frame structures requires statistical inputs for imperfection parameters, often with specific mutual correlations. The stochastic input values of geometrical imperfections are derived from European Standard EN 1090-2:2018 tolerance criteria. Two advanced stochastic methods, #RSS (random storey sway) and #RSP (random storey position), are developed based on these criteria. This paper presents a verification study, using random sampling simulations, for these two stochastic methods (#RSS and #RSP) to directly model the initial global geometrical imperfections of steel frame structures. The proposed methods have been verified for structures with equidistant storey heights and for those comprising up to 24 storeys, making them applicable to a wide range standard steel frame structures. It has been found that the performance of the #RSS method is satisfactory. An advantage of #RSS is that the random parameters are statistically independent. On the other hand, the #RSP method requires the definition of these mutual correlations in order to satisfy the criterion that 95 percent of random realizations of initial imperfections fall within the tolerance limits of the corresponding European Standard. The #RSP method, however, might have certain advantages for structures with a larger number of storeys (above 24), as closely discussed in this study. Additionally, this study provides useful provisions for the advanced numerical analyses of multi-storey steel frames of various geometries.

Thermal stability of amorphous nimesulide: from glass formation to crystal growth and thermal degradation.

Thermally induced physico-chemical transformations in amorphous nimesulide were studied by means of differential scanning calorimetry (DSC), thermogravimetry, and Raman microscopy. The equilibrium glass transition temperature was found to be Tg0 = 10-15 °C, and the relaxation motions were found to be temperature-dependent. Crystal growth from the amorphous phase was found to be crucially dependent on the presence of mechanical defects that serve as centers for heterogeneous nucleation. The large amounts of mechanical defects significantly decrease the activation energy of the macroscopic crystallization; the positions of the crystallization peaks and their asymmetry/shape remain however almost unchanged. At laboratory temperature, powdered nimesulide fully crystallizes within several hours, with an absolute majority of the crystalline phase being formed as the thermodynamically stable form I polymorph. Amorphous nimesulide does not crystallize from the free smooth surface (no trace of formed crystallites was found by optical microscopy after 30 days at laboratory temperature). Nimesulide was found to be very stable at temperatures above its melting point of 147.5 °C; thermal degradation starts to proceed slowly at 200 °C. Mutual correlations between the macroscopic and microscopic crystal growth processes and between the viscous flow and structural relaxation motions were discussed based on the values of the corresponding activation energies. A link between the cooperativity of structural domains, parameters of the Tool-Narayanaswamy-Moynihan relaxation model, and microscopic crystal growth was proposed.