Miracle-dz/UniFAR-FTUs huggingface dataset:
Inclusive Development of Ukraine as a System

The purpose of the article is to improve the scientific understanding of the essence of the categorical apparatus of inclusiveness and define the inclusive development of Ukraine as a system in its spatial dimension, sectoral and sectoral sections, political, economic, social and spiritual manifestations. It is determined that the systemic challenge caused by the global economic crisis, exacerbated by the epidemic of coronavirus infection, has focused on the problem of overcoming poverty and socio-economic inequality at both global and national levels, which in turn raises the issue of society's transition to principles. inclusiveness. It is substantiated that the issue of transformation of the model of development of society has become important against the background of the contradictory development of globalization, associated with the widening gap between the countries of the center of the world system and countries on its periphery. The scientific novelty of the study lies in the definition of stages, directions of creating the preconditions for inclusiveness, and in substantiating the systemic idea of inclusive development of Ukraine. To reveal the essence and structure of inclusive development of Ukraine, an analysis of the scientific discourse related to the categorical apparatus of research was carried out. An analysis of inclusive development was conducted based on the identification of paired dichotomies that reveal the essence and direction of this process. The rating of Ukraine according to the index of inclusive development among the developing country is presented. A systematic idea of inclusive development of Ukraine is formed, the components of which are inclusion as a social phenomenon, inclusive development as a process, its elements (objects) and result. Problems that have their manifestation at the national level, in the spatial dimension, sectoral and sectoral sections, in the political, economic, social, spiritual spheres of public life, and are certain obstacles to the formation of an inclusive society, prospects for social development based on inclusiveness. Prospects for further scientific research are in the plane of substantiation of the domestic model of inclusive development, which would take into account the specifics and current state of Ukrainian society.
A evasão no sistema Universidade Aberta do Brasil: uma análise das justificativas das instituições integrantes

Este artigo trata da evasao em cursos a distância. Tem como objetivo analisar as justificativas academicas apresentadas por instituicoes de educacao superior (IES) a proposito da evasao discente nos cursos ofertados no âmbito do Sistema Universidade Aberta do Brasil (UAB). A pesquisa envolveu a realizacao de analise de conteudo nos textos das 77 justificativas apresentadas por IES do Sistema UAB a Coordenacao de Aperfeicoamento de Nivel Superior (Capes), relativamente a evasao em cursos de graduacao e de pos-graduacao lato sensu . Os resultados apontaram que, na maioria dos casos, do ponto de vista dos alunos, a falta de internet e a pouca habilidade para manejar as ferramentas tecnologicas tem sido os principais causadores de evasao. Quanto as IES, as principais alegacoes se relacionam a precariedade de profissionais, principalmente os tutores, alem de fatores relativos a equipe multidisciplinar, como o desenvolvimento de materiais didaticos e videoaulas. Outro fator considerado como de principal correlacao ao fenomeno foi a ausencia ou falta de qualidade na infraestrutura.
Emergent Representations in Reinforcement Learning and Their Properties

This dissertation investigates the properties of representations learned by modern deep reinforcement learning systems. Representation learning plays an important roll in reinforcement learning. A representation contains information extracted from states—the description of the current situation given by the environment. Therefore, a high-quality representation is not only essential to build a robust reinforcement learning agent but also can help improving learning efficiency. Many sub-problems of reinforcement learning, such as planning with model and directed exploration, can be solved more efficiently with a successful agent state discovery. There are a lot of representation learning algorithms that have been proposed. Much of the earlier work in representation learning for reinforcement learning focused on designing fixed-basis architectures to achieve desirable properties, such as orthogonality. In contrast, the idea behind deep reinforcement learning methods is that the agent designer should not encode representational properties, but rather that the data stream should determine the properties of the representation—desired representations will emerge under appropriate training schemes. In this work, we discuss how emergent representations learned with different tasks settings, both with and without auxiliary tasks, perform on properties that people think a good representation has. This thesis (1) empirically investigates how these emergent representations relate to historical notions of good representations, and (2) provides novel insights regarding end-to-end training, the auxiliary task effect, and the utility of successor-feature targets. In particular, we will compare the ii representations learned by several standard architectures by discussing seven representational properties and studying how these properties relate to control and transfer performance.
Innovations in the management of higher education: situation analysis of Syrian female students empowerment

Syrian women face many barriers and restrictions on the way to legitimate their roles in the formal economy and the higher education sector. This paper examines the higher education environment in Syria, highlighting the situation after 2011. The purpose of this research is to conduct a situation analysis of Syrian female students’ empowerment in the higher education environment. The study object is the private Syrian university used to identify the main barriers and restrictions in the higher education sector and determine training areas for solving before-mentioned issues. The methodology applied in this research employs a quantitative approach through the design of a structured questionnaire. The findings exposed the importance to develop further investigations on the integration of gender equality into the university strategy. Therefore, a lack of awareness of gender equality and equity is a significant area for development and study at Syrian universities. The obtained results in the field of female students’ empowerment demonstrated the adequate levels of motivation to pursue a career in academia and interest in studying gender-oriented courses. However, gender issues have not integrated into the university course offerings and curriculum. This study covers the policies related to institutional support are areas of investigation. Besides, the research results showed that stereotypes and social expectations exist are considered to be the challenges that require examination. Technological skills, soft skills, and leadership skills were determined as an array of training that was needed by female students. Self-empowerment was recognized as critical training for female students. Developing management, leadership, and networking skills were also identified as a training need for female students.
The electrochemistry of zinc in ionic liquids with the trifluoromethylsulfonate anion and their mixtures with water

Ionische Flussigkeiten haben besondere Bedeutung als eine Alternative zu konventionellen Elektrolyten fur die Abscheidung von Metallen und Legierungen aufgrund ihrer gunstigen Eigenschaften erlangt. In der vorliegenden Arbeit wurden die ionischen Flussigkeiten 1-Ethyl-3-methylimidazolium trifluormethylsulfonat ([EMIM]TfO) und 1-Butyl-1-methylpyrrolidinium trifluormethylsulfonat ([Py1,4]TfO) als Elektrolyte fur die elektrochemische Abscheidung von Zink verwendet. Das elektrochemische Verhalten von Zn/Zn(II) in den ionischen Flussigkeiten und die Morphologie des abgeschiedenen Materials wurden in Hinblick auf das Abscheidungsuberpotential, die Temperatur und den Wassergehalt untersucht. Der Einfluss eines Additives auf die Zinkabscheidung wurde ebenfalls untersucht. Eine nanostrukturierte Zinkmatrix, wie frei-stehende Zinknanodrahte und makroporoses Zink wurde auserdem hergestellt. Solche Materialien konnten in Lithiumionen-Batterien als Anode Verwendung finden. Ionische Flussigkeits-basierte Polymergelelektrolyte wurden durch Kombination der ionischen Flussigkeit [Py1,4]TfO mit Zn(TfO)2 und Poly(vinylidenfluorid-co-hexafluorpropylen) (PVdF-HFP) synthetisiert. Der ionische Flussigkeits-basierte Polymergelelektrolyt zeichnet sich durch eine hohe Leitfahigkeit und eine gute mechanische Stabilitat, was ein quasi-reversibles Abscheiden und Auflosen von Zink ermoglicht, aus. In situ STM Ergebnisse zeigen, dass die Struktur von [EMIM]TfO auf Au(1 1 1) eher komplex ist. Auserdem andert die Zugabe von Zn(TfO)2 die Grenzflachenstruktur deutlich und die Abscheidung von Zink wird von einer Au-Zn-Oberflachenlegierungsbildung begleitet. Die Solvatation der Zinkionen in ionischen Flussigkeiten und in Mischungen von ionischen Flussigkeiten mit Wasser wurde mittels FT-IR und Raman-Spektroskopie analysiert. Die Struktur, die physikalisch-chemischen Eigenschaften der ionischen Flussigkeiten und die durchschnittliche Koordinationszahl von TfO- pro Zn2+-Kation sind stark abhangig von der Wechselwirkung zwischen den Kationen und den Anionen und dem Wassergehalt.
Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis

Ovarian cancer is one of the leading causes of gynecological malignancy-related deaths. The underlying molecular development mechanism has however not been elucidated. In this study, we used bioinformatics to reveal critical molecular and biological processes associated with ovarian cancer. The microarray datasets of miRNA and mRNA expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. Besides, we performed target prediction of the identified differentially expressed miRNAs. The overlapped differentially expressed genes (DEGs) were obtained combined with miRNA targets predicted and the DEGs identified from the mRNA dataset. The Cytoscape software was used to design a regulatory network of miRNA-gene. Moreover, the overlapped DEGs in the network were subjected to enrichment analysis to explore the associated biological processes. The molecular protein-protein interaction (PPI) network was used to identify the key genes among the DEGs of prognostic value for ovarian cancer, and the genes were evaluated via Kaplan-Meier curve analysis. A total of 186 overlapped DEGs were identified. Through miRNA-gene network analysis, we found that miR-195-5p, miR-424-5p, and miR-497-5p highly exhibited targeted association with overlapped DEGs. The three miRNAs are critical in the regulatory network and act as tumor suppressors. The overlapped DEGs were mainly associated with protein metabolism, histogenesis, and development of the reproductive system and ocular tissues. The PPI network identified 10 vital genes that promote tumor progression. Survival analysis found that CEP55 and CCNE1 may be associated with the prognosis of ovarian cancer. These findings provide insights to understand the pathogenesis of ovarian cancer and suggest new candidate biomarkers for early screening of ovarian cancer.
Patchy Wormlike Micelles with Tailored Functionality by Crystallization-Driven Self-Assembly: A Versatile Platform for Mesostructured Hybrid Materials

One-dimensional patchy nanostructures are interesting materials due to their excellent interfacial activity and their potential use as carrier for functional nanoparticles. Up to now only wormlike crystalline-core micelles (wCCMs) with a nonfunctional patchy PS/PMMA corona were accessible using crystallization-driven self-assembly (CDSA) of polystyrene-block-polyethylene-block-poly(methyl methacrylate) (SEM) triblock terpolymers. Here, we present a facile approach toward functional, patchy wCCMs, bearing tertiary amino groups in one of the surface patches. The corona forming PMMA block of a SEM triblock terpolymer was functionalized by amidation with different N,N-dialkylethylenediamines in a polymer analogous fashion. The CDSA of the functionalized triblock terpolymers in THF was found to strongly depend on the polarity/solubility of the amidated PMMA block. The lower the polarity of the amidated PMMA block (increased solubility), the higher is the accessible degree of functionalization upon which define.
MULTIPHASE CHEMISTRY OF N2O5, CLNO2, AND BRNO2

The uptake kinetics of N2O5 were studied with the droplet train technique as a function of temperature between 262 and 278 K on different aqueous solutions. No pronounced temperature dependence was observed, and the average uptake coefficient in this temperature range is 0.018 ± 0.003. When interacting with salt solutions (i.e., NaCl, NaBr, or NaI), N2O5 contributes to the formation of ClNO2 and BrNO2. The multiphase chemistry of these nitryl compounds was further investigated using the wetted-wall technique as a function of temperature between 275 and 293 K on different aqueous solutions. The uptake coefficients are reported for both species, and no distinct temperature dependence was observed. Their uptake rate was efficiently enhanced by the presence, in the aqueous phase, of halogenides ions. When reacting with Br- or I-, both nitryl compounds deliver to the gas phase the molecular form of the halogen, i.e., Br2 or I2. A reaction scheme potentially explaining these observations is presented and its im.
Decision Making Model for Choosing Normal Maternity or Cesarean Section with Machine Learning Approach

: Globally, the number of cesarean section has almost doubled, namely 12% in 2000 to 21% in 2015. While more than 50 developing countries have cesarean birth rates> 27%. Normal childbirth actually has many advantages over cesarean section, but data in various hospitals shows an increase in cesarean section rates. The purpose of this study was to identify the relationship of factors that influence mothers with the decision to choose normal delivery or cesarean section. An evaluation of 3,121 respondents with 118 samples was conducted. Statistical evaluation using univariate and bivariate analysis with chi-square test, and multivariate analysis with multiple logistic regression at 95% confidence level (  = 0.05) was performed. Whereas the model of the relationship of the main factors in decision making in the selection of maternity scenarios was built using machine learning approach. Statistical evaluations indicate that there are only three variables (i.e., culture, lifestyle, and perception, p ≤ 0.009) that have a relationship with the decision of the mother to choose normal delivery or cesarean section. The factor with the greatest relation is perception (Exp (B) / OR was
Vestibular Disorder Triggers Hypertension

Background: It is widespread opinion that cardiovascular disorders can cause dizziness or vertigo. The evidence basis for this statement is poor. That is why the problem of this presentation is establishing of the relationships between vestibular and vascular dysfunction. Material and methods: 123 patients (office employees) have been studied, with average age of 52,34 ± 14,82 y.o. , out of them 42 males and 81 – females. In 51 persons blood pressure (BP) has been increased. Patients with normal BP have been considered to be control group (n=72). BP measurement at the moment of examination has been performed, as well as posturography with the help of posturographic platform “Micro medical Technologies, Inc.” (USA), sensory organization test (SOT) has been done. Results: The significant decrease of vestibular function has been found in the hypertensive patients: 88,92 ± 24,91% and 68,29 ± 33,01%, Cd=23,20% (Cd absolute figure is almost the same value as for blood pressure). Difference significance according to F-test p=0,17, and T-test p=0,01. Sway square increase in the hypertensive patient group has been the greatest – from 0,08 ± 0,05 to 0,34 ± 1,00 m2, Cd=325,00%, with difference significance according to F-test p=1,89E-24, and T-test p=0,18, thus manifesting the presence of qualitative, related to hypertension difference between the groups and underlining importance of sway square studies with eyes closed in the patients with arterial hypertension. Conclusion: Vestibular dysfunction might be among the triggers of hypertension.
On Laminar Rich Premixed Polydisperse Spray Flame Propagation with Heat Loss

A mathematical analysis of laminar premixed spray flame propagation with heat loss is presented. The analysis makes use of a distributed approximation of the Arrhenius exponential term in the reaction rate expression and leads to an implicit expression for the laminar burning velocity dependent on the spray-related parameters for the fuel, gas-related parameters and the intensity of the heat losses. It is shown that the initial droplet load, the value of the evaporation coefficient, and the initial size distribution are the spray-related parameters which exert an influence on the onset of extinction. The combination of these parameters governs the manner in which the spray heat loss is distributed spatially and it is this feature that is the main factor, when taken together with volumetric heat loss, which determines the spray’s impact on flame propagation and extinction.
SARA ATRP in Aqueous Solutions Containing Supplemental Redox Intermediate: Controlled Polymerization of [2-(Methacryloyloxy)ethyl] trimethylammonium Chloride

Polymerization of the cationic monomer [2-(methacryloyloxy)ethyl]trimethylammonium chloride (METAC) by the methods of controlled radical polymerization AGET ATRP and SARA ATRP is reported, demonstrating successful synthesis of well-defined cationic polymers in aqueous solutions. A modification of SARA system (ISARA) for aqueous solutions was proposed based on the use of supplemental redox intermediates (SRI) mediating electron transfer between zerovalent metal and the deactivator CuII/L, ensuring steady generation of the activator in situ. Ascorbic acid and hydroquinone in their oxidized form, and iron(III) chloride are between preferable SRI. A mechanism of generation of the activator CuI/L in the presence of zerovalent metals and SRI in aqueous solutions of ISARA ATRP was proposed. The main advantages of ISARA compared to AGET ATRP are simpler technical implementation, better reproducibility of the results and good control over polymerization up to high conversions of the monomers.
First-principles investigation on vibrational, anisotropic elastic and thermodynamic properties for L12 structure of Al3Er and Al3Yb under high pressure

Abstract To better clarify the physical properties for Al3RE precipitates, first-principles calculations are performed to investigate the vibrational, anisotropic elastic and thermodynamic properties of Al3Er and Al3Yb. The calculated results agree well with available experimental and theoretical ones. The vibrational properties indicate that Al3Er and Al3Yb will keep their dynamical stabilities with L12 structure up to 100 GPa. The elastic constants are satisfied with mechanical stability criteria up to the external pressure of 100 GPa. The mechanical anisotropy is predicted by anisotropic constants AG, AU, AZ and 3D curved surface of Young’s modulus. The calculated results show that both Al3Er and Al3Yb are isotropic at zero pressure and obviously anisotropic under high pressure. Further, we systematically investigate the thermodynamic properties and provide the relationships between thermal parameters and pressure. Finally, the pressure-dependent behaviours of density of states, Mulliken charge and bond length are discussed.
Cultural patterns of corrupt decision-making in Russian organizations

The persistence of corruption in Russia is seen in path-dependent political structures on the one hand, while, on the other hand, concrete corruption-promoting mechanisms can be theoretically described at the level of the actor. The former approach lacks a general explanation of corruption, while the latter lacks the immanent possibility of embedding corrupt practices in specific cultural patterns. Recent approaches in organizational research promise a fruitful connection of both via the idea of organizational corruption, which explains corruption as a normalization process in an organizational context. The present article aims at extending this approach by an analytical model of decision-making in organizations based on a neo-institutional framework. Decision-making situations will be constructed in the activity structure of organizations as the tension between formal-legal requirements and the legitimate goals of the organization as set out in the formal structure. Depending on whether decisions are oriented in accordance or or against legal requirements and the legitimate goals of the organization, a compliant decision, individual corruption, organizational corruption or whistle blowing becomes more likely. Thus, the link between different cultural concepts in Russia and corruption are systematically highlighted and integrated into the present model. It is shown that culturalhistorical patterns cannot be generalized to Russia, but often only promote corruption when specifically embedded in organizations.
Does FDI Induce Knowledge Spillovers? Evidence from Indian Pharmaceutical Industry

The study examines knowledge spillovers from multinational firms in the Indian pharmaceutical industry. Specifically, we examine whether FDI catalyses diffusion of knowledge transfer from multinational firms’ R&amp;D activities during 2000-01 to 2019-20 and four sub-periods of five years each. The empirical evidence suggests that multinational firms do not have any impact on the output of domestic firms in the first two sub-periods. However, generate positive knowledge spillovers in the last two sub-periods, increasing the output of domestic firms. FDI flows in the pharmaceutical sector increased mainly in the last two sub-periods due to policy changes and more relaxed FDI norms. The study finds that competition effect exists and distinguishes domestic firms. Firms not investing in R&amp;D face enhanced competition from firms investing in R&amp;D activities.
Application of the Lattice Boltzmann Method to the Acoustic Wave in a Rectangular Enclosure

: An application of the lattice Boltzmann method (LBM) to the study of sound wave propagation is presented in this paper. The major purpose of this simulation is to show how the LBM technique can be easily applied in the domain of acoustics. The sound waves are emitted from a vibrating rectangular source placed in the center of the left face of a rectangular enclosure filled with air. An analytical study is performed to validate our numerical approach and the error between the two studies is also described to ensure the validity of the LBM analysis.
Multi-Scale Blind Image Quality Predictor Based on Pyramidal Convolution

: Traditional image quality assessment methods use the hand-crafted features to predict the image quality score, which cannot perform well in many scenes. Since deep learning promotes the development of many computer vision tasks, many IQA methods start to utilize the deep convolutional neural networks (CNN) for IQA task. In this paper, a CNN-based multi-scale blind image quality predictor is proposed to extract more effectivity multi-scale distortion features through the pyramidal convolution, which consists of two tasks: A distortion recognition task and a quality regression task. For the first task, image distortion type is obtained by the fully connected layer. For the second task, the image quality score is predicted during the distortion recognition progress. Experimental results on three famous IQA datasets show that the proposed method has better performance than the previous traditional algorithms for quality prediction and distortion recognition.