Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural and Environmental Characteristics of Extratropical Cyclones that Cause Tornado Outbreaks in the Warm Sector: A Composite Study

AbstractThe structural and environmental characteristics of extratropical cyclones that cause tornado outbreaks [outbreak cyclones (OCs)] and that do not [nonoutbreak cyclones (NOCs)] are examined using the Japanese 55-year Reanalysis dataset (JRA-55). Composite analyses show differences between OCs and NOCs: for OCs, storm relative environmental helicity (SREH) and convective available potential energy (CAPE) are notably larger, and the areas in which these parameters have significant values are wider in the warm sector than they are for NOCs. The larger CAPE in OCs is due to larger amounts of low-level water vapor, while the greater SREH is due to stronger low-level southerly wind.The composite analyses for environmental fields defined by 20-day means suggest that environmental meridional flows have the potential to advect large amounts of warm and moist air northward, creating atmospheric instability in the troposphere that contributes to the occurrence of a tornado outbreak. A piecewise potential vort.
Asymptotic Theory for Beta-t-GARCH

The dynamic conditional score (DCS) models with variants of Student's t innovation are gaining popularity in volatility modeling, and studies have found that they outperform GARCH-type models of comparable specifications. DCS is typically estimated by the method of maximum likelihood, but there is so far limited asymptotic theories for justifying the use of this estimator for non-Gaussian distributions. This paper develops asymptotic theory for Beta-t-GARCH, which is DCS with Student's t innovation and the benchmark volatility model of this class. We establish the necessary and sufficient condition for strict stationarity of the first-order Beta-t-GARCH using one simple moment equation, and show that its MLE is consistent and asymptotically normal under this condition. The results of this paper theoretically justify applying DCS with Student's t innovation to heavy-tailed data with a high degree of kurtosis, and performing standard statistical inference for model selection using the estimator. Since GARCH is Beta-t-GARCH with infinite degrees of freedom, our results imply that Beta-t-GARCH can capture the size of the tail or the degree of kurtosis that is too large for GARCH.
Vertical and Horizontal Diagonal Feature Extraction Techniques for Content Based Image Retrieval

In this paper, a novel dimensionality reduction method is called hybrid principal component analysis (hi-PCA) is proposed for face content based image retrieval. In contrast to feature extraction of standard hybrid PCA (vertical and horizontal diagonal PCA) represented as the optimal projective vectors from vertical and horizontal diagonal face images without image-to-vector transformation. Distance measure techniques are Euclidean, SSE, MSE, Manhattan etc. Experiments show that hi-PCA is much more accurate than both PCA and 2DPCA. Furthermore, it is shown that the accuracy can be further improved by combining hi-PCA with 2DPCA.
The jet energy scale at atlas using Z+jet events

Jets, collimated sprays of subatomic particles, are an important component of the final state in highenergy proton-proton scattering. A correct jet energy scale is therefore essential to the success of the ATLAS experiment. In this thesis the missing transverse projection fraction method is used to measure the absolute jet response in Z+jet events where the Z decays into a pair of leptons. This measurement complements similar measurements made using γ+jet events while extending the calibration to lower energies. The possibility of taking advantage of the differing fraction of events in each sample with gluon-initiated jets as a method for deriving a parton-dependent jet response is also explored. Preliminary results are shown to agree with Monte Carlo predictions within their statistical uncertainty.
Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor

In this paper, a multiscale analysis method was proposed to simulate carbon nanoparticles (CNPs)−filled polymers which can be strain sensors applied in wearable electronic devices, flexible skin, and health monitoring fields. On the basis of the microstructure characteristics of the composite, a microscale representative volume element model of the CNPs−filled polymer was established using the improved nearest−neighbor algorithm. By finite element analysis, the variation of the junction widths of adjacent aggregates can be extracted from the simulation results. Then, according to the conductive mechanism of CNP−filled polymers, the composite was simplified as a circuit network composed of vast random resistors which were determined by the junction widths between adjacent aggregates. Hence, by taking junction widths as the link, the resistance variation of the CNPs−filled polymer with the strain can be obtained. To verify the proposed method, the electromechanical responses of silicone elastomer filled with different CNPs under different filling amounts were investigated numerically and experimentally, respectively, and the results were in good agreement. Therefore, the multiscale analysis method can not only reveal the strain−sensing mechanism of the composite from the microscale, but also effectively predict the electromechanical behavior of the CNPs−filled polymer with different material parameters.
OPTIMIZATION OF CULTURAL CONDITIONS FOR HIGH PRODUCTION OF PHOSPHATE SOLUBILIZATION BY FLUORESCENT PSEUDOMONAS SP

Microorganisms require carbon, nitrogen, phosphorus, sulphur, minerals, vitamins and other growth factors. They are sensitive to temperature, oxygen and pH in their environment (Jennings, 1995). Understanding which environmental factors are important and how these influence the production of secondary metabolic activities is important. The culture conditions of microorganisms play an important role in production of biological activities (Kotake et al., 1992). As the physiological and nutritional requirement of an organism is genetically predetermined, it is important to provide the appropriate carbon and nitrogen source and also the proper environment for optimal production of activity.
Applying SIENA: An illustrative analysis of the co-evolution of adolescents’ friendship networks, taste in music, and alcohol consumption

We give a non-technical introduction into recently developed methods for analyzing the co-evolution of social networks and behavior(s) of the network actors. This co-evolution is crucial for a variety of research topics that currently receive a lot of attention, such as the role of peer groups in adolescent development. A family of dynamic actor-driven models for the co-evolution process is sketched, and it is shown how the SIENA software can be used for estimating these models. We illustrate the method by analyzing the co-evolution of friendship networks, taste in music, and alcohol consumption of teenagers.
Anti-Apoptotic Effect of Chrysophanol Isolated from Cassia tora Seed Extract on Blue-Light-Induced A2E-Loaded Human Retinal Pigment Epithelial Cells

The seeds of Cassia tora (C. tora) species mainly contain anthraquinone, anthraquinone glycoside, and naphthalene derivatives. We investigated the anti-apoptotic effects of C. tora seed extract and its isolated compounds on blue-light-induced lipofuscin (A2E)-loaded human retinal pigment epithelial (RPE) cells. For analysis of the C. tora extract, high-performance liquid chromatography method was used. A2E-loaded human retinal pigment epithelial cells and blue light were used to create excessive photo-oxidation to induce cell death. Lactate dehydrogenase (LDH) assay was used to measure cell cytotoxicity, and the mRNA expression of genes involved in apoptosis was examined to evaluate the mechanism of cell death. C. tora extract, n-hexane fraction, and chrysophanol were found to inhibit apoptotic cell death. Additionally, C. tora extract, n-hexane fraction, and chrysophanol reduced the mRNA expression of genes involved in the apoptosis pathway. C. tora and chrysophanol were considered to inhibit apoptosis and oxidative stress response. The major component of C. tora has a protective effect against apoptosis. The ingredients of C. tora can be used as therapeutic substances or to prevent diseases caused by the excessive oxidation of A2E substances in the retina, such as in age-related macular degeneration.
Robust discrete‐time H∞ filtering with uncertain initial state

We consider the problem of finite‐horizon discrete‐time H∞ filtering with uncertain initial state condition and establish the relationship between the conventional γ‐performance bound and a recently proposed performance measure. A sub‐optimal but more efficient approach to computing the filter for the new performance measure is also derived. Copyright © 2008 John Wiley & Sons, Ltd.
Abstract 5982: A potent and selective CDK8 inhibitor ABM-3249 with excellent efficacies in multiple in vivo cancer models

CDK8 is a member of the CDK family in which belongs to the serine/threonine protein kinase. It binds with cyclin C to regulate the transcription. By modulation of various gene expression programs, CDK8 associated with the mediator complex to sustain proliferation and viability of cancer cells. CDK8 has been identified as an important factor in cancer occurrence and development. It also involves in the regulation of cancer cell stress response to radiotherapy and chemotherapy, assists tumor cell invasion, metastasis and drug resistance. Therefore inhibition of CDK8 is regarded as a promising target for cancer therapy. ABM-3249 was discovered as a potent and selective CDK8 inhibitor with a novel chemical structure. It inhibited CDK8 kinase activity in biochemical assay and cellular binding assay, with IC50 values of 1.4 nM and 19nM respectively. ABM-3249 displayed good kinase selectivity: <50% inhibition on all other CDK family members at 1uM. Consistently, ABM-3249 reduced STAT1-S727 phosphorylation with an IC50 of less than 100nM. ABM-3249 showed good ADME properties with high oral bioavailability (~90%) in rodents. In efficacy studies, ABM-3249 exhibited excellent anti-tumor activities in multiple in vivo models. In an AML MV4-11 xenograft model at 25mpk oral dosing ABM-3249 achieved complete remission in all mice within 17 days and no tumor recurrence within one month after drug withdrawal. ABM-3249 showed good efficacies as a single agent, as well as a synergetic effect with anti-PD1 combination in a murine colon cancer MC38 model. It also showed an efficacy in a murine colon cancer B16F10 metastasis model. In addition, ABM-3249 displayed a good safety margin in a preliminary tox screen in rodents. Citation Format: Chen Chen, Charles Huang, Min Xu, Xiuquan Chen, Xiaobing Lv, Chen Yang, Lanjiao Zhao, YouQin Chen, Jizhi Li, Li Zhao. A potent and selective CDK8 inhibitor ABM-3249 with excellent efficacies in multiple in vivo cancer models. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5982.
Fast, Scalable and Robust Centralized Routing for Data Center Networks

This paper presents a fast and robust centralized data center network (DCN) routing solution, called Primus. For fast routing calculation, Primus uses centralized controllers to collect/disseminate the network’s link-states (LS), and offload the actual routing calculation onto each switch. Observing that the routing changes can be classified into a few fixed patterns in DCNs which have regular topologies, we simplify each switch’s routing calculation into a table-lookup manner, i.e., comparing LS changes with pre-installed base topology and updating routing paths according to predefined rules. As such, the routing calculation time at each switch only needs 10s of us even in a large network topology containing 10K+ switches. For efficient controller fault-tolerance, Primus purposely uses reporter switch to ensure the LS updates successfully delivered to all affected switches. As such, Primus can use multiple stateless controllers and little redundant traffic to tolerate failures, which incurs little overhead under normal case, and keeps 10s of ms fast routing reaction time even under complex data-/control-plane failures. We design, implement and evaluate Primus with extensive experiments on Linux-machine controllers and white-box switches. Primus provides ~1200x and ~100x shorter convergence time than current distributed protocol BGP and the state-of-the-art centralized routing solution, respectively. Furthermore, Primus maintains good routing controllability/manageability thanks to its centralized architecture, which enables us to build several advanced routing features in our testbed, including routing failure visualization and weighted-cost-multi-path routing.
A generalized POD space-time Galerkin scheme for parameter dependent dynamical systems

[1] M. BAUMANN, J. HEILAND, AND M. SCHMIDT, Discrete input/output maps and their relation to proper orthogonal decomposition, in Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory, P. Benner, M. Bollhofer, D. Kressner, C. Mehl, and T. Stykel, eds., Springer International Publishing, 2015, pp. 585–608. [2] L. DE LATHAUWER, B. DE MOOR, AND J. VANDEWALLE, A multilinear singular value decomposition, SIAM J. Matrix Anal. Appl. , 21 (2000), pp. 1253–1278. [3] J. HEILAND, spacetime-genpod-burgers – Python module for spacetime-genpod-burgers. https://gitlab.mpi-magdeburg.mpg. de/heiland/spacetime-genpod-burgers, 2015. [4] S. VOLKWEIN AND S. WEILAND, An algorithm for Galerkin projections in both time and spatial coordinates, Proc. 17th MTNS, (2006). The basic theory
The Importance of Separating Appropriateness into Impact and Feasibility for the Psychology of Creativity

ABSTRACT Scientific progress on creativity research depends on having properly operationalized measures. In psychological research on creativity, it is common to operationalize creativity as the combination of novelty and appropriateness. However, the operationalization of appropriateness varies widely across researchers, studies, and domains (e.g. technical goodness, significance, elegance, usefulness, and feasibility). We argue that a core distinction between impact (how useful an idea is for solving the problem) and feasibility (how easy it is to realize the idea) underlies the variation. We further claim that this distinction is both possible to capture reliably in practice and psychologically significant. To test these claims, 318 ideas from 5 real-world social innovation problems (e.g. improving accessibility in elections) were rated for novelty, impact, and feasibility by a set of six experts selected for each of the 5 challenges. We find that all three constructs can be measured reliably and are statistically separable. Further, we show that distinguishing impact and feasibility reveals theoretically meaningful patterns of relationships with key psychological processes of creativity – analogy and conceptual combination – that would be difficult if impact and feasibility were conflated. These results demonstrate the theoretical importance of separating appropriateness into impact and feasibility for the psychology of creativity.
Emission-line regions of active galaxies and QSOs

On presente les donnees d'observations qui concernent la structure et le champ des vitesses du gaz ionise contenu dans les noyaux galactiques actifs. On examine deux interpretations theoriques pour la region a raies larges puis on presente plusieurs modeles theoriques recents concernant la region a raies etroites
General theory of entanglement enhancement by external fields in spin chains

In the present thesis, we report several general properties of the enhancement of the entanglement by external fields. First, we investigate the thermal entanglement of interacting two qubits. We maximize it by tuning a local Hamiltonian under a given interaction Hamiltonian. We prove that the optimizing local Hamiltonian takes a simple form which dose not depend on the temperature and that the corresponding optimized thermal entanglement decays as 1/(T log T ) at high temperatures. We also find that at low temperatures the thermal entanglement is maximum without any local Hamiltonians and that the second derivative of the maximized thermal entanglement changes discontinuously at the boundary between the highand low-temperature phases. Second, we investigate the maximized entanglement of indirectly interacting two spins, that is, through other spins. We present a necessary condition for the indirect interaction to give a non-zero maximized entanglement between the focused spins. We also prove that if the focused spins are separated by two spins, there is a critical temperature above which the maximized entanglement between the focused spins vanishes. Then, we numerically calculate the maximized entanglement between the end spins of three-spin chains and four-spin chains. We discover that the maximizing local fields on the end spins have asymmetric forms. In the three-spin chains, we attribute the entanglement enhancement to the asymmetry of the local fields qualitatively and quantitatively in terms of the magnons. In XX and XY four-spin chains, we find that the critical temperature shows qualitatively different behavior depending on the conservation of the angular momentum in the z direction.
Genesis of Hurricane Julia (2010) within an African Easterly Wave: Sensitivity to Ice Microphysics

AbstractWhile much attention has been given to investigating the dynamics of tropical cyclogenesis (TCG), little work explores the thermodynamical evolution and related cloud microphysical processes occurring during TCG. This study elaborates on previous research by examining the impact of ice microphysics on the genesis of Hurricane Julia during the 2010 North Atlantic Ocean hurricane season. As compared with a control simulation, two sensitivity experiments are conducted in which the latent heat of fusion owing to depositional growth is removed in one experiment and homogeneous freezing is not allowed to occur in the other. Results show that removing the latent heat of fusion substantially reduces the warming of the upper troposphere during TCG. This results in a lack of meso-α-scale hydrostatic surface pressure falls and no tropical depression (TD)-scale mean sea level pressure (MSLP) disturbance. In contrast, removing homogeneous freezing has little impact on the structure and magnitude of the upper-t.
Decay detection in historic buildings through image-based deep learning

Nowadays, built heritage condition assessment is realized through on-site or photo-aided visual inspections, reporting pathologies manually on drawings, photographs, notes. The knowledge of the state of conservation goes through subjective and time or cost consuming procedures. This is even relevant for a historic building characterized by geometrical and morphological complexity and huge extension, or at risk of collapse. In this context, advancements in the field of Computer Vision and Artificial Intelligence provide an opportunity to address these criticalities. The proposed methodology is based on a Mask R-CNN model, for the detection of decay morphologies on built heritages, and, particularly on historic buildings. The experimentation has been carried out and validated on a highly heterogeneous dataset of images of historic buildings, representative of the regional Architectural Heritage, such as: castles, monasteries, noble buildings, rural buildings. The outcomes highlighted the significance of this remote, non-invasive inspection technique, in support of the technicians in the preliminary knowledge of the building state of conservation, and, most of all, in the decay mapping of some particular classes of alterations (moist area, biological colonization).
Relevancia del análisis lingüístico en el tratamiento cuantitativo de la variación dialectal

In previous studies we have argued in favour of the need for a phonological analysis of dialectal data prior to quantitatively determining linguistic distance. Our idea, based on generative linguistics, has to do with the fact that phonetic coincidences may frequently hide relevant phonological divergences. Thus, we consider that quantitative analyses carried out solely from phonetic data cannot reflect existing differences or similarities among dialectal varieties adequately. So far, our reasoning has always been backed by small-scale laboratory tests performed on small sets of data. In the present study, however, our reasoning in favour of linguistic analysis is corroborated by a tested and global treatment of data from the Contemporary Catalan Oral Dialect Corpus. To this end we have carried out two quantitative studies: one on the basis of phonetic data, and another one using a phonological analysis of the data.
An Ontology-driven DBpedia Quality Enhancement to Support Entity Annotation for Arabic Text

—Improving NLP outputs by extracting structured data from unstructured data is crucial, and several tools are available for the English language to achieve this objective. However, little attention has been paid to the Arabic language. This research aims to address this issue by enhancing the quality of DBpedia data. One limitation of DBpedia is that each resource can belong to multiple types and may not represent the intended concept. Additionally, some resources may be assigned incorrect types. To overcome these limitations, this study proposes creating a new ontology to represent Arabic data using the DBpedia ontology, followed by an algorithm to verify type assignments using the resource's title metadata and similarity between resources' descriptions. Finally, the research builds an entity annotation tool for Arabic using the verified dataset.
The nonlinear effect of executive compensation on corporate social responsibility performance

PurposeTaking cues from the fact that there remains a dearth in the establishment of theoretical and empirical relationship between executive compensation and corporate social responsibility (CSR) performance of the firms, this study attempts to explore the non-linear relationship between the said variables.Design/methodology/approachThe study utilizes a strongly balanced panel data set of 179 non-financial National Stock Exchange (NSE) 500 listed firms for the study period of 2015–2020. The study further employs both static as well as Arellano-Bond dynamic panel model under generalized method of moments (GMM) framework to establish the relationship between executive compensation and CSR performance of the sampled firms.FindingsThe study acknowledges an inverted U-shaped relationship between executive compensation and environmental, social and governance (ESG) score of the firms. According to the robust estimator, an increase in the level of executive compensation is said to affect CSR performance positively until it surpasses a threshold level of 18.7 percent.Practical implicationsOne of the major takeaways that the study provides for the corporate policymakers is that the level of compensation can only motivate the executives to take up socially responsible work up to a certain level surpassing which the executives becomes resistant towards any benefits provided by the CSR performance and get inclined towards economical performances of the firm. At the later stage, the economical expansionary investment benefits overweigh the personal career benefit gained by the executives from the CSR performances of the firm.Originality/valueThe nonlinearity relationship between executive compensation and CSR performance and the threshold level providing the two-fold effect of compensation on the CSR performance of the firms attempted by this study is a rare attempt in an emerging economy like India.