Miracle-dz/UniFAR-FTUs huggingface dataset:
Organizational Tensions as Driving Forces of Dynamic Capabilities in Hybrid Organizations

Since structuralist theory we know that organizational tensions and conflicts are not necessarily detrimental to the purposes of a given enterprise. Based on this assumption we had in this theoretical article the objective of analyzing how the presence of organizational tensions can be a potential driver of dynamic capacities in hybrid organizations, illustrated in the article as social enterprise. As the main contribution of the study, we stress that the tensions of belonging, learning, organization and performance can boost dynamic capabilities of behaviors and skills, routines and processes and mechanisms of learning and knowledge governance in hybrid organizations and potentially in other organizational typologies. We also bring a stimulus so that the managers of hybrid organizations are aware of the tensions of their enterprises because, while on the one hand these can boost dynamic capabilities, on the other, they can lead to the decline of their activities, given the current scenario of frequent technological changes and institutions we live.
A Study of Intertextuality in Political Press Samples

The paper tries to study the Linguistic phenomenon of intertextuality in general and in press discourse in special . In this study we try to show the nature of the term and the reason behind the wide interest in it . The study begins with a simple introduction as a preliminary for the subject . Some definitions and ideas of different authors to show the nature of the term are introduced . The types and dimensions of intertextuality are also mentioned . The work introduces the analysis of certain press samples according to an ecletic model to end with the conclusions then the bibliography.
Comparison of three recurrent neural networks for rainfall-runoff modelling at a snow-dominated watershed

In recent years, rainfall-runoff modelling using LSTM has shown high adaptability. However, LSTM requires far more computational costs than traditional RNN. In addition, a different type of RNN, GRU, has been developed to solve this issue of LSTM. Therefore, this study compares the accuracy of the deep learning methods for rainfall-runoff modelling using three deep learning methods in a snow-dominated area. Besides, the setting of hyperparameters may affect accuracy. The accuracy of these deep learning methods was investigated by trying multiple combinations of hyperparameters. The input data were daily temperature data and precipitation data. The results show that GRU gives the highest accuracy in most combinations.
Comparative evaluation of the efficiency of enhancing phytoextraction with heavy metals in Phaseolus vulgaris, Pisum sativum, Sinapis alba using a disubstituted potassium salt of oxyethylene diphysphonic acid

It is possible to increase the efficiency of phytoextraction by introducing additives that convert less bioavailable compounds of heavy metals into bioavailable fractions in the soil, as well as to increase the rate of transfer of metals into the plant body. The article presents the results of a study of various chemical additives that affect the development and growth of plants when the soil is contaminated with heavy metals (Ni, Cu, Cd). It can be concluded that the disubstituted potassium salt of hydroxyethylidene diphosphonic acid is a growth stimulant for some plant species, and an increase in growth directly depends on an increase in the concentration of the additive introduced. The work was supported by the Russian Foundation for basic research (RFBR) under the project 18-29-25071.
Monitoring of Rehabilitative Nursing Practices in relation to Functional Ability for Patients with Spinal Cord Injury

: This review aims to create a framework that shows how the nursing practices offered during rehabilitation of patients with Spinal Cord Injuries relate to their functional ability. Data source: articles from six databases including Google Scholar, PubMed, Medline, CINAHL and EMBASE (from 2011). Study selection: This review was done on theoretical and qualitative studies that study knowledge about functional ability of the patients and different nursing practices. Analysis and synthesis of the studies was later done through content analysis. Results: 2904 records were available in the initial search. In this review, the PRISMA explain the process of inclusion of 45 studies that met inclusion criteria bases on their study title and the abstract. Findings: Nurses add value to the rehabilitation process by helping and encouraging the patient to transfer the skills learned in therapy sessions to their daily routine Another finding is that rehabilitation nursing practices have a significant relationship with the patients function ability. Conclusion: Findings create nurses awareness and health care providers on the needs of patients with SCI and offers direction for further research.
AdapTable: Extending Reach over Large Tabletops through Flexible Multi-Display Configuration

Large interactive tabletops are beneficial for various tasks involving exploration and visualization, but regions of the screen far from users can be difficult to reach. We propose AdapTable; a concept and prototype of a flexible multi-display tabletop that can physically reconfigure its layout, allowing for interaction with difficult-to-reach regions. We conducted a design study where we found users preferred to change screen layouts for full-screen interaction, motivated by reduced physical demands and frustration. We then prototyped AdapTable using four actuated tabletop displays each propelled by a mobile robot, and a touch menu was chosen to control the layout. Finally, we conducted a user study to evaluate how well AdapTable addresses the reaching problem compared with a conventional panning technique. Our findings show that AdapTable provides a more efficient method for complex full-screen interaction.
(CSM2-RA-R2-TI): Cyber Security Maturity Model for Risk Assessment Using Risk Register for Threat Intelligence

Because of the growing frequency sophistication, and severity of cyber security attacks, all businesses should ensure that cyber security risk is properly addressed in their enterprise risk management (ERM) programs. Risk Management, agreeing with the NIST Guide 8286 is the arrangement of “composed exercises to direct and control an association concerning risk”. NISTIR 8286 characterizes a system and framework for hazard the executives. In any case, executing this norm without an in-depth plan can turn into a risk on associations. This paper provides a capability maturity model for risk assessment for threat intelligence using a risk register. This model helps the organization as reference and set clear path to survey risk assessments in accordance with latest threats.
Manila Trench Tsunami Source Modeling for West Kalimantan Nuclear Facility Mitigation

Tsunami modeling with the Manila Trench earthquake source, the Philippines is very necessary as one of the mitigation measures for the prospective nuclear power plant (PLTN) facility in West Kalimantan. In this preliminary study, tsunami modeling using the COMCOT of non linear and the nesting grid method was carried out to obtain an estimate of the height and arrival time of the tsunami at the closest tidal initial points of a nuclear power plant. The Manila Trench is considered as the closed potential sources of earthquake threats to the prospective nuclear power plant site in Gosong Beach, West Kalimantan. The source is divided into 33 multiple segments and accumulated to magnitude 9.1 The results of this study can be used as material for risk assessment for nuclear power plant site development. The results obtained are that the estimated tsunami height at Gosong Beach is around 0.3 – 0.5 meters on the beach with an arrival time of about 550 minutes after the earthquake at its center.
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Clusters, filaments, sheets, and voids are the building blocks of the cosmic web. Forming dark matter halos respond to these different large-scale environments, and this in turn affects the properties of galaxies hosted by the halos. It is therefore important to understand the systematic correlations of halo properties with the morphology of the cosmic web, as this informs both about galaxy formation physics and possible systematics of weak lensing studies. In this study, we present and compare two distinct algorithms for finding cosmic filaments and sheets, a task which is far less well established than the identification of dark matter halos or voids. One method is based on the smoothed dark matter density field and the other uses the halo distributions directly. We apply both techniques to one highresolution N-body simulation and reconstruct the filamentary/sheet like network of the dark matter density field. We focus on investigating the properties of the dark matter halos inside these structures, in particular, on the directions of their spins and the orientation of their shapes with respect to the directions of the filaments and sheets. We find that both the spin and the major axes of filament halos with masses 1013 h−1 M are preferentially aligned with the direction of the filaments. The spins and major axes of halos in sheets tend to lie parallel to the sheets. There is an opposite mass dependence of the alignment strength for the spin (negative) and major (positive) axes, i.e. with increasing halo mass the major axis tends to be more strongly aligned with the direction of the filament, whereas the alignment between halo spin and filament becomes weaker with increasing halo mass. The alignment strength as a function of the distance to the most massive node halo indicates that there is a transit large-scale environment impact: from the two-dimensional collapse phase of the filament to the three-dimensional collapse phase of the cluster/node halo at small separation. Overall, the two algorithms for filament/sheet identification investigated here agree well with each other. The method based on halos alone can be easily adapted for use with observational data sets.
Investigation of Physical Properties on HA/nGO Coating Magnesium Alloy

AZ91D magnesium alloys have been referred to as a revolutionary material for biomedical applications, particularly in orthopaedics as a bone implant material. This is attributable to the good strength and strong biocompatibility of magnesium and its alloys with bone tissue relative to other metallic alloys. The rapid degradation of pure magnesium has, sadly, reduced its therapeutic use. As a consequence, the efficacy of hydroxyapatite (HA) and graphene oxide (GO) in corrosion resistance has demonstrated tremendous potential to improve its defensive properties in order to address this vulnerability. AZ91D alloy has been coated with HA/GO by micro-arc oxidation (MAO) at a specific concentration and voltage, with varying treatment times. Surface roughness, elemental composition analysis and surface morphology analysis were tested at different treatment time. The sample enduring 15 min of treatment time was found to have the greatest resistance to corrosion due to its surface morphology and the importance of surface roughness was within the range of recommended roughness for a biomedical implant.
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Through 5 pillars — AFFORDABILITY AND ACCESSIBILITY, ONLINE EDUCATION, STEM LEADERSHIP, WORLD-CHANGING RESEARCH AND TRANSFORMATIVE EDUCATION OVERVIEW The Purdue Equity Task Force is charged with developing a plan with specific actions to ensure all members of the university community have the opportunity to experience all Purdue has to offer equitably, focusing on structural and environmental barriers to success of students, faculty, and staff of color and initially focusing on the specific experience of Black Boilermakers . Past investments, initiatives, and work by many have attempted to help the Purdue system make progress in becoming more diverse and inclusive. That said, this progress has been slow for people of color, and is especially lacking for Black faculty, staff and students. The charge of the task force is to review the current state of equity on the Purdue West Lafayette Campus and the past and present investments and initiatives designed to support more equitable experiences and opportunities across the campus. The task force is also charged with ensuring that past initiatives remain the right ones while simultaneously recommending new or alternate strategies if its findings so suggest.
Políticas públicas de formação de diretores de escolas públicas no Brasil: Uma análise do Programa Nacional Escola de Gestores da Educação Básica (PNEGEB)

Este texto apresenta os resultados da análise da política pública de formação de diretores de escolas públicas, implementada por meio do Programa Nacional Escola de Gestores de Educação Básica (PNEGEB), que vigorou no Brasil de 2006 a 2016 e empregou R$70.017. 228,06. A análise foi realizada sob a perspectiva do modelo de ciclo de políticas públicas (Howlett & Ramesh, 1995, 2003). Foram realizadas entrevistas em profundidade com especialistas do Ministério da Educação (MEC), Secretaria de Estado de Educação do Rio de Janeiro e de universidades participantes do Programa, e foram consultados documentos disponibilizados pelo MEC. Das 36.443 vagas ofertadas, ao final de 2016, somente 19.257 gestores (53%) haviam concluído o Curso. A complexidade da implementação do Programa em âmbito nacional e a falta de articulação entre os diversos atores envolvidos nesta política, em certa medida, explicam a elevada evasão. O MEC não avaliou o Programa, reafirmando a dificuldade do país em avaliar políticas públicas de forma consistente e que possibilite orientar ações e investimentos futuros. A descontinuidade do Programa e a falta de uma política pública que o substitua sugerem um rebaixamento deste tema entre as prioridades do país.
Modeling Monotonic Effects of Ordinal Predictors in Bayesian Regression Models

Ordinal predictors are commonly used in regression models. They are often incorrectly treated as either nominal or metric, thus under- or overestimating the contained information. Such practices may lead to worse inference and predictions compared to methods which are specifically designed for this purpose. We propose a new method for modeling ordinal predictors that applies in situations in which it is reasonable to assume their effects to be monotonic. The parameterization of such monotonic effects is realized in terms of a scale parameter $b$ representing the direction and size of the effect and a simplex parameter $\zeta$ modeling the normalized differences between categories. This ensures that predictions increase or decrease monotonically, while changes between adjacent categories may vary across categories. This formulation generalizes to interaction terms as well as multilevel structures. Monotonic effects may not only be applied to ordinal predictors, but also to other discrete variables for which a monotonic relationship is plausible. In simulation studies, we show that the model is well calibrated and, in case of monotonicity, has similar or even better predictive performance than other approaches designed to handle ordinal predictors. Using Stan, we developed a Bayesian estimation method for monotonic effects, which allows to incorporate prior information and to check the assumption of monotonicity. We have implemented this method in the R package brms, so that fitting monotonic effects in a fully Bayesian framework is now straightforward.
NEURAL NETWORK SIMULATION: A NEW APPROACH TO RISK ASSESSMENT AND BUSINESS FORECASTING

Neural Networks (NN's), one of the latest developments in computer software artificial intelligence, are an innovative method of simulating and analysing complex and changing systems of relationships. Originally developed to mimic the neural architecture and functioning of the human brain, NN techniques have recently been applied successfully in a wide variety of complex business and financial applications (Trippi and Turban, 1994).
Turismo receptivo y crecimiento económico en México: evidencia de largo plazo

El turismo internacional es considerado como una de las actividades más benéficas para una economía, pues se le aprecia como una actividad que genera crecimiento económico, empleo y captación de divisas, además de cooperar al entendimiento cultural entre las naciones e individuos. En este documento se analiza la relación que tienen el PIB real de México y el turismo receptivo a través de un modelo ARDL estimado con series trimestrales para el periodo 1993Q1 – 2017Q3. Los resultados señalan la existencia de una relación de largo plazo, y dan evidencia estadística de que el efecto del turismo sobre el PIB es positivo, pero también de que el PIB mexicano es inelástico ante las variaciones en la llegada de turistas internacionales.
IN VITRO ANTIOXIDANT ACTIVITY OF SELECTED EGYPTIAN PLANTS

Free radicals react with biological molecules and destroy the structure of cells, which eventually causes free radical induced diseases such as cancer, liver disease, aging, etc. In this study, the total phenolic contents, 1, 1diphenyl-2-picryl hydrazyl (DPPH) and OH radical scavenging activity and lipid peroxidation of 13 selected Egyptian plants were determined. Total phenolic contents of plant ethanolic extracts were measured as gallic acid. The antioxidant activities of plant ethanolic extracts at different levels (25, 50 and 100 μg/ ml) were evaluated using three complementary in vitro assays: inhibition of DPPH radical, hydroxyl radical and lipid peroxidation in liver homogenate mediated by FeSO4/ ascorbate model system. The results showed that all plant ethanolic extracts increased antioxidant activities with increasing ethanolic extracts concentration. The ethanolic extracts of guava leaves, cinnamon bark and pomegranate peel significantly inhibited lipid peroxidationinduced by FeSO4/ ascorbate model system, also have inhibitory effect on deoxyribose degradation. In addition, guava leaves had the highest free radical scavenging activity. These findings suggest that ethanolic extracts of guava leaves, cinnamon bark and pomegranate peel are powerful natural antioxidants and may be useful as antioxidants interest in the protection of biological system against various oxidative stresses. The chemical constitution of ethanolic extracts was investigated using gas chromatography–mass spectrometry (GC–MS) for the guava leaves and pomegranate peel. The ethanolic extracts were found to contain 19 and 23 components for guava leaves and pomegranate peel, respectively. The major peaks, identified by GC–MS, were 1,2Benzenedicarboxylic acid, diisooctyl ester (28.72%), 5Methyl-2-phenylindole (20.80%) and n-Octanoic acid (19.00%) for the guava leaves and 5-Hyroxymethyl2formylfuran (68.35%), 2-Furancarboxaldehyde (6.94%) and 3,4-Dehydroproline (3.78%) for the pomegranate peel.
Banks' CSR disclosures – headquarters versus subsidiaries

Purpose – The purpose of this paper is to investigate how the 2008 financial crisis is reflected in the CSR disclosure quantity and readability of banks' headquarters and subsidiaries, and how banks' disclosure patterns differ across these units. Design/methodology/approach – Embedded multiple case study utilising quantitative content analysis and readability indices. Findings – As expected, Nordic banks' headquarters' disclosure quantity and readability outperforms those of their Baltic subsidiaries/branches. However, no convergence of intra-group CSR disclosure practices is detected. Banks' response to the legitimacy gap seems to depend on CSR reporting strategy: passive superficial (Baltic subsidiaries/branches, ABLV), passive thorough (Swedbank), intermediate (Danske Bank) and active (SEB). Passive and intermediate strategy pursuers' CSR disclosure quantity and readability remains stable during the financial crisis period. However, active strategy pursuers increase disclosure quantity and reduce reada.
Multi-Level Encrypted Transmission Scheme Using Hybrid Chaos and Linear Modulation

SUMMARY In the fifth-generation mobile communications system (5G), it is critical to ensure wireless security as well as large-capacity and high-speed communication. To achieve this, a chaos modulation method as an encrypted and channel-coded modulation method in the physical layer is proposed. However, in the conventional chaos modulation method, the decoding complexity increases exponentially with respect to the modulation order. To solve this problem, in this study, a hybrid modulation method that applies quadrature amplitude modulation (QAM) and chaos to reduce the amount of decoding complexity, in which some transmission bits are allocated to QAM while maintaining the encryption for all bits is proposed. In the proposed method, a low-complexity decoding method is constructed by ordering chaos and QAM symbols based on the theory of index modulation. Numerical results show that the proposed method maintains good error-rate performance with reduced decoding complexity and ensures wireless security.
Structural, Raman and optical investigations of barium titanate nanoparticles

Abstract Barium titanate nanoparticles were synthesized via a low temperature sol-gel technique using acetylacetone as a chelating agent. The X-ray diffraction pattern confirmed the formation of tetragonal perovskite structure of the material. The average crystallite size was found to be 49 nm using the Debye-Scherrer method. The Williamson–Hall plot was drawn for evaluating the micro-strain and crystallite size. Raman spectroscopic features typical for the tetragonal phase were identified for Barium titanate powder. In addition to these, an absorption band edge and an optical bandgap were found to be of 406 nm and 3.14 eV respectively. Barium titanate displays polychromatic luminescent peaks in UV -visible regions and it was attributed to the near-band-edge transition and defect states in the optical band gap of the perovskite structure. GRAPHICAL ABSTRACT