Miracle-dz/UniFAR-FTUs huggingface dataset:
SPIDER model process studies of aircraft plume dilution using simplified chemistry

The box model SPIDER was developed to test and compare various approaches to include the effect of aircraft plume processes (effective emissions indices) in large scale chemistry transport models and climate-chemistry models. Its simplified NOx-O3 chemistry parameterises only the most relevant non-linear processes. SPIDER reproduces the main features of more sophisticated plume models. Multi-plume interactions illustrate the capability of the SPIDER model.
Estudos quantitativos em educação

The article refers to studies in education carried out in Brazil during the last three decades using quantitative approaches. The selection of the works to be examined was based on a survey of all issues published since 1970 by the following journals: Revista Brasileira de Estudos Pedagogicos (Inep/MEC), Cadernos de Pesquisa (Fundacao Carlos Chagas), Educacao e Realidade (UFRS), Educacao e Sociedade (Cedes/Unicamp), Revista Brasileira de Educacao (ANPEd), Estudos em Avaliacao Educacional (Fundacao Carlos Chagas), and Ensaio (Fundacao Cesgranrio). Some bibliographical sources were consulted in the search for other studies. The text highlights the importance of theoretical perspectives for the outlining and development of the studies, which should be put in the context of a reflection on education and of problematization. It also points to the need for adjusting the choices of types of analyses used. The work discusses the weak Brazilian tradition of carrying out quantitative studies in education, and the possible role of quantification in educational research. It shows some contributions from quantitative studies to the reflection in the field of education, and also for the basis of some critical perspectives. Those contributions were treated according to some themes, namely: illiteracy, schooling path and school failure; school flux/cutoff analysis; literacy; policies and basic education; financing of education/municipalization; social factors and education; youth and education; educational evaluation; assorted themes.
Buddhist Ritual in the Song

The rise of the Song dynasty brought significant changes to the Buddhist clergy in China, its institutions, and the patterns by which Buddhist traditions networked into local communities. With them came distinctive developments in ritual form and repertoire. Some of these ritual forms involved the redeployment of programs that had an established presence from bygone eras, such as rites performed during the annual monastic rains retreat and on the occasion of major festivals, or the programs for intensive personal penance and contemplative retreat long featured in the Tiantai Buddhist tradition. Others betokened newer ritual syntheses that were directed to the shifting concerns of lay patrons and the Song populace at large. Such were the elaborate public rites—laden with vernacular elements—designed to intercede on behalf of local gods and the dead. Drawing on a range of genres, Buddhist and beyond, this chapter explores the landscape of Song Buddhist ritual, from its major sites, temporal cycles, and liturgical repertoire to its shared logics of ritual procedure and their resonance with vernacular religious narrative.
Context? Yes, but to whom?

In this paper we propose an entity-centric definition of context information and in turn a definition of context. So far the definitions of context given by various authors have considered context as an absolute concept, however we challenge this view. We argue that context cannot be defined globally, rather it is a relative concept that depends on the entity that perceives it. This is the starting principle for our definition. In this paper we also present preliminary work on using mathematical formalism to describe this definition.
A Meta-method analysis of time assumptions in competitive dynamics research

A Meta-method analysis of time assumptions in competitive dynamics research Abstract: The authors run a meta-method analysis and content analyze 74 empirical articles citing ten seminal articles in competitive actions research to determine how studies define and take time into account in their research design. Different time definitions will be carefully exposed and linked to research published in the field. Weaknesses will be detailed and suggestions for addressing these problems will be provided.
A Descriptive Study towards Green Computing Practice Application for Data Centers in IT Based Industries

The progressive upsurge in demand for processing and computing power has led to a subsequent upsurge in data center carbon emissions, cost incurred, unethical waste management, depletion of natural resources and high energy utilization. This raises the issue of the sustainability attainment in data centers of Information Technology (IT) based industries. Green computing practice can be applied to facilitate sustainability attainment as IT based industries utilizes data centers to provide services to staffs, practitioners and end users. But it is a known fact that enterprise servers utilize huge quantity of energy and incur other expenditures in cooling operations and it is difficult to address the needs of accuracy and efficiency in data centers while yet encouraging a greener application practice alongside cost reduction. Thus this research study focus on the practice application of Green computing in data centers which houses servers and as such presents the Green computing life cycle strategies and best practices to be practiced for better management in data centers in IT based industries. Data was collected through questionnaire from 133 respondents in industries that currently operate their in-house data centers. The analysed data was used to verify the Green computing life cycle strategies presented in this study. Findings from the data shows that each of the life cycles strategies is significant in assisting IT based industries apply Green computing practices in their data centers. This study would be of interest to knowledge and data management practitioners as well as environmental manager and academicians in deploying Green data centers in their organizations.
Thiadiazoline- and Pyrazoline-Based Carboxamides and Carbothioamides: Synthesis and Inhibition against Nitric Oxide Synthase

Two new families of pyrazoline and thiadiazoline heterocycles have been developed. Their inhibitory activities against two different isoforms of nitric oxide synthase (inducible and neuronal NOS) are reported. The novel derivatives were synthesized combining the arylthiadiazoline or arylpyrazoline skeleton and a carboxamide or carbothioamide moiety, used as starting material ethyl 2-nitrobenzoates or substituted nitrobenzaldehydes, respectively. The structure-activity relationships of final molecules are discussed in terms of the R1 radical effects in the aromatic ring, the Y atom in the heterocyclic system, the X heteroatom in the main chain, and the R2 substituent in the carboxamide or carbothioamide rest. In general, thiadiazolines (5a–e) inhibit preferentially the neuronal isoform; among them, 5a is the best nNOS inhibitor (74.11% at 1 mM, IC50 = 420 μM). In contrast, pyrazolines (6a–r) behave better as iNOS than nNOS inhibitors, 6m being the best molecule of this series (76.86% at 1 mM of iNOS inhibition, IC50 = 130 μM) and the most potent of all tested compounds.
Macroscopic Effect of Quantum Gravity: Graviton, Ghost and Instanton Condensation on Horizon Scale of Universe

We discuss a special class of quantum gravity phenomena that occur on the scale of the Universe as a whole at any stage of its evolution, including the contemporary Universe. These phenomena are a direct consequence of the zero rest mass of gravitons, conformal non-invariance of the graviton field, and one-loop finiteness of quantum gravity, i.e. it is a direct consequence of first principles only. The effects are due to graviton-ghost condensates arising from the interfereence of quantum coherent states. Each of coherent states is a state of gravitons and ghosts of a wavelength of the order of the horizon scale and of different occupation numbers. The state vector of the Universe is a coherent superposition of vectors of different occupation numbers. One-loop approximation of quantum gravity is believed to be applicable to the contemporary Universe because of its remoteness from the Planck epoch. To substantiate the reliability of macroscopic quantum effects, the formalism of one-loop quantum gravity is discussed in detail. The theory is constructed as follows: Faddeev-Popov path integral in Hamilton gauge → factorization of classical and quantum variables, allowing the existence of a self-consistent system of equations for gravitons, ghosts and macroscopic geometry → transition to the one-loop approximation, taking into account that contributions of ghost fields to observables cannot be eliminated in any way. The ghost sector corresponding to the Hamilton gauge automatically ensures of one-loop finiteness of the theory off the mass shell. The Bogolyubov-Born-Green-Kirckwood-Yvon (BBGKY) chain for the spectral function of gravitons renormalized by ghosts is used to build a self-consistent theory of gravitons in the isotropic Universe. It is the first use of this technique in quantum gravity calculations. We found three exact solutions of the equations, consisting of BBGKY chain and macroscopic Einstein’s equations. It was found that these solutions describe virtual graviton and ghost condensates as well as condensates of instanton fluctuations. All exact solutions, originally found by the BBGKY formalism, are reproduced at the level of exact solutions for field operators and state vectors. It was found that exact solutions correspond to various condensates with different graviton-ghost compositions. Each exact solution corresponds to a certain phase state of graviton-ghost substratum. We establish conditions under which a continuous quantum-gravity phase transitions occur between different phases of the graviton-ghost condensate.
Fine-grained human evaluation of an English to Croatian hybrid machine translation system

This research compares two approaches to statistical machine translation - pure phrasebased and factored phrase-based - by performing a fine-grained manual evaluation via error annotation of the systems’ outputs, and subsequently analysing the results. The error types considered in the annotation are compliant with the multidimensional quality metrics (MQM), and the annotation is performed by two annotators. Inter-annotator agreement is relatively high for such a task, and the results show that the factored system, i.e. hybrid system, performs much better, reducing the amount of errors produced by the pure phrase-based system by 20%.
Structural and chemical investigation of peristerites by transmission electron microscopy (TEM) and X-ray diffraction

Peristerites from Steiermark (Austria) and from Burma have been studied in detail by transmission electron microscopy (TEM) and X-ray diffraction to obtain the compositions of their coexisting lamellae. A strong influence of lamellar periodicity on the measured lattice parameters was found in peristerites with different lamellar spacings. Precise determination of the compositions of the lamellae was only possible for the Burma peristerite, which has a large periodicity of 170±30 nm. Qualitative energy dispersive X-ray analyses of the lamellae in this sampie, carried out with an analytical TEM, demonstrate a significant enrichment of the Or-content in the smaller An-rich lamellae. In the light of this result, an unambiguous determination of the lamellar compositions is obtained from the lattice parameters of the two phases. Powder diffraction patterns and single-crystal diffraction patterns of this sampie show similar results. The compositions of the lamellae of the Burma peristerite, which has a bulk composition of A�1. �. gOrl.g, were determined as Ab9gAn20ro and Ab·w\nlgOrg with an uncertainty of 2mol%. In contrast with the Burma peristerite, lattice parameters of the Steiermark peristerite are strongly influenced by lattice distortion resulting from the smali lamellar periodicity of 50± lOnm. X-ray data of the exsolved phases include strains arising from the adaptation of their lattice parameters to each other and are not suitable for estimating the compositions of the lamellae. Controversy arising from determination of the compositions of peristerite lamellae from lattice parameters may be due to an enrichment of the Or-content in the An-rich phase, which has not been taken into account in previous studies. Key-words: peristerite, lamellar composition, lamellar periodicity, transmission electron microscopy, X-ray diffraction.
A motivational perspective on the user acceptance of social media

Social media is a unique marketing communication medium to engage with a new generation of consumers and it has become an essential element of many organisations’ strategic planning. On social media sites, consumers are engaging with and producing information, as opposed to traditional media where the marketer is in control of the media message content and information dissemination. The primary objective of this study was to investigate the intentions of users of social network sites to continue using social network sites in the future, by using a comprehensive, decomposed Theory of Planned Behaviour. The results showed that Dispositional trust, Internet self-efficacy, Psychological risk, Perceived enjoyment and Perceived usefulness exert a statistically significant influence on the intention of individuals to continue to use Facebook in the future. This study provides insights that can guide marketers’ efforts to devise customised, multi-layered marketing offerings to encourage the use of social network sites for e-commerce purposes.
Introduction: the role of European research in understanding entrepreneurship

This new volume in the European Research in Entrepreneurship series continues to advance knowledge in the field of entrepreneurship. Following the spirit of this book series, this volume seeks to continue identifying and making visible the common elements that underlie entrepreneurship research in Europe. In this case, the specific focus is placed on the role played by education, research, context and strategy in the process leading from the development of new entrepreneurial activity to the shaping of this activity, and to the growing of entrepreneurial projects.
Lessons learned from contrasting a BLAS kernel implementations

This work reviews the experience of implementing different versions of the SSPR rank-one update operation of the BLAS library. The main objective was to contrast CPU versus GPU implementation effort and complexity of an optimized BLAS routine, not considering performance. This work contributes with a sample procedure to compare BLAS kernel implementations, how to start using GPU libraries and offloading, how to analyze their performance and the issues faced and how they were solved.
Semantic Sensitive Coverage-based Fuzzing

Coverage-based fuzzing is widely used in finding program bugs. While state-of-the-art coverage-based fuzzers, either ignore the differences between newly discovered edges or consider only control flow features (e.g., depth) when prioritizing seeds for mutation. In this paper, we propose a semantic sensitive coverage-based fuzzing solutions, SSFuzzer. When new edges are discovered during fuzzing, it evaluates the semantic features of the new edges and update the weights of testcases. Seeds with heavier weights will first be picked to mutate and be given more energy to mutate (i.e., more testcases will be generated). We evaluate not only positive semantic features (e.g., memory access) but also negative ones (e.g., error handling) of edges. We implemented a prototype based on AFL. Experiment results demonstrate that SSFuzzer can discover vulnerabilities faster.
CELL DEFORMATION MODELING UNDER EXTERNAL FORCE USING ARTIFICIAL NEURAL NETWORK

Embryogenesis, regeneration and cell differentiation in microbiological entities are influenced by mechanical forces. Therefore, development of mechanical properties of these materials is important. Neural network technique is a useful method which can be used to obtain cell deformation by the means of force-geometric deformation data or vice versa. Prior to insertion in the needle injection process, deformation and geometry of cell under external point-load is a key element to understand the interaction between cell and needle. In this paper, the goal is the prediction of cell membrane deformation under a certain force and to visually estimate the force of indentation on the membrane from membrane geometries. The neural network input and output parameters are associated to a three dimensional model without the assumption of the adherent affects. The neural network is modeled by applying error back propagation algorithm. In order to validate the strength of the developed neural network model, the results are compared with the experimental data on mouse oocyte and mouse embryos that are captured from literature. The results of the modeling match nicely the experimental findings. © 2010 IAU, Arak Branch. All rights reserved.
INTEGRATED FRAMEWORK OF FEATURE SELECTION FROM MICROARRAY DATA FOR CLASSIFICATION

A DNA microarray has the ability to record levels of huge number of genes in one experiment. Previous research has shown that this technology can be helpful in the classification of cancers and their treatments outcomes. Normally, cancer microarray data has a limited number of samples which have a tremendous amount of genes expression levels as features. To specify relevant genes participated in different kinds of cancer still represents a challenge. For the purpose of extracting useful genes information from the data of cancer microarray, gene selection algorithms were examined systematically in this study and an integrated framework of gene selection was proposed. Using feature ranking based on absolute value two sample ttest with pooled variance estimate evaluation criterion combined with sequential forward feature selection, we show that the performance of classification at least as better as published results can be obtained on the therapy outcomes regarding breast cancer patients. Also, we reveal that combined use of different feature selection and classification approaches makes it feasible to select strongly relevant genes with high
Impact of UV radiation on the physical properties of polypropylene floating row covers.

In the intensive horticulture, various ways of protected area are used for the growth of seedlings and the cultivation of vegetables in all seasons. The easiest and the cheapest form of protected area is agrotextile, which can be laid directly over vegetable crops (row cover). Agrotextiles are nonwovens which are manufactured from textile fibres which are usually of chemical origin. Textiles, used as agrotextiles require suitable tensile strength and good permeability characteristics with no significant deterioration under the influence of weather changes and UV radiation. Properties of agrotextiles depend on the fibres made of and on the type and conditions of production. The purpose of this study was to analyse the influence of simulated sun light radiation (xenon lamp) on physical properties of polypropylene (PP) nonwoven material, which is used for the production of agrotextiles. The research showed that the properties of row cover change when radiated with UV light. Tensile, tearing and bursting properties worsen after radiation and air permeability and water vapour show little increase. The changes in the properties are a consequence of changes in fibres, molecular and supermolecular structure which is exhibited in changed fibres and consequently also nonwoven properties.
Literature Review and Research Hypothesis 2 . 1 . Team Members ’ Social Media Interaction and Employee Creativity

Based on the questionnaire of 252 employees, this paper explores the relationship between social media interaction and employee creativity, which is influenced by the mediating effect of colleagues’ trust and the moderating role of supporting organizational culture. The study found that: 1) Social media interaction among team members has a significant positive impact on employee creativity; 2) Social media interaction among team members indirectly influences employee creativity through trust; 3) The supporting organization culture regulates the relationship between social media interaction among team members and trust among them. That is to say, the higher level of the supporting organizational culture the employees perceive, the more obvious the influence of social media interaction among team members on the trust of colleagues is. This research not only enriches the theoretical research on the relationship between social media interaction and the internal stakeholders (employees) of the enterprise, but also has important guiding significance to the practice of organization management.
Yeast activity monitoring by fluorescent methods

Yeast activity was monitored during pilot plant yeast propagation under aerobic and anaerobic conditions. The work was carried out with three widely used Czech lager yeast strains. Fluorescent intensity of DNA was analysed by flow cytometry and signal was used as a marker for cell cycle determination. During experiments were monitored changes in significant properties of yeast (glycogen, proteins, and DNA) by fluorescent methods. It seemed that the impact of aerobic conditions on preservation of flocculation abilities depends on the genetic properties of each strain. Only one strain did not show significant losses in flocculation abilities neither under aerobic nor strictly anaerobic conditions.
Efficient computation of pi by the Newton - Raphson iteration and a two-term Machin-like formula

In our recent publication we have proposed a new methodology for determination of the two-term Machin-like formula for pi with small arguments of the arctangent function of kind $$ \frac{\pi }{4} = {2^{k - 1}}\arctan \left( {\frac{1}{{{\beta _1}}}} \right) + \arctan \left( {\frac{1}{{{\beta _2}}}} \right), $$ where $k$ and ${\beta _1}$ are some integers and ${\beta _2}$ is a rational number, dependent upon ${\beta _1}$ and $k$. Although ${1/\left|\beta _2\right|}$ may be significantly smaller than ${1/\beta _1}$, the large numbers in the numerator and denominator of $\beta_2$ decelerate the computation. In this work we show how this problem can be effectively resolved by the Newton--Raphson iteration method.