Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of depth-graded multilayer structure for x-ray optics using machine learning

We present a general machine-learning-based approach to solve the inverse design problem of depth-graded multilayer structures (so-called supermirrors) for x-ray optics. Our model uses Monte Carlo tree search (MCTS) with policy gradient in combination with a reflectivity simulation. MCTS is an iterative design method that showed competitive efficiency in materials design and discovery problems. A policy gradient algorithm with a neural network was added to optimize the tree expansion. The policy gradient is a reinforcement learning method that optimizes parametrized policies toward an expected return using gradient descent. This approach is applied to design a depth-graded multilayer structure that maximizes mean reflectivity in an angular range for Cu K α radiation by selecting the optimal thickness and material for each layer in the structure. Mean reflectivity of 0.80 was achieved in an angular range of 0.45–0.55 °. Alternating materials are selected from a predetermined set of materials. We confirmed that the policy gradient enhances the efficiency of MCTS. This approach can be applied autonomously on several x-ray applications without any parameter tuning or pre-available data.
South African Avocado Growers ’ Association Yearbook 25 , 2002 25 1-Methyl cyclopropene ( 1-MCP ) : An alternative for controlled atmosphere storage of South African export avocados

INTRODUCTION During the last two years, we have been evaluating the effectiveness of 1-methyl cyclopropene (1-MCP), an ethylene inhibitor that have been formulated to block the cellular receptor sites for this hormone. During 2000, trials were conducted with all the major export cultivars in order to establish the efficacy of 1MCP in terms of the inhibition of ripening. The positive results warranted further research and the study was continued during the 2001 season. The most important aim of the latest trials was to compare the ripening inhibition efficacy of 1-MCP with that of controlled atmosphere (CA) storage.
Demographic parameters of cowpea aphids on advanced semi-erect cowpea lines

Abstract: The objective of this work was to evaluate the resistance of advanced semi-erect cowpea (Vigna unguiculata) lines, by means of a screening assay for resistance and the elaboration of fertility-life tables of Aphis craccivora (Hemiptera: Aphididae). The experiments were carried out in a screenhouse. For the resistance trial, 15 advanced cowpea lines were used, as well as two standard genotypes for resistance and two for susceptibility, which were arranged in six blocks. After resistance was determined, two lines with the highest and lowest resistance were selected for the development of the fertility-life tables which were used to estimate demographic parameters. The MNCO4-762F-03 and MNCO4-762F-09 cowpea lines were classified as resistant, for which cowpea aphids showed the lowest values (in parentheses, respectively) for: net reproductive rate (RO = 3.0 and 2.5), intrinsic rate of increase (rm = 0.16 and 0.15), and finite rate of increase (λ = 1.18 and 1.16). The highest values were obtained for the 'Vita-7', MNCO4-795F-168, and 'BRS Tumucumaque' genotypes. The MNCO4-762F-03 and MNCO4-762F-09 lines show antibiosis-type resistance, which directly affects the reproductive potential of the cowpea aphid population.
Plagiarism Detection Techniques for Arabic Script Languages: A Literature Review

Plagiarism is generally defined as literary theft and academic dishonesty. This considered as the serious issue in an academic documents and texts. There are numerous of plagiarism detection techniques have been developed for various natural languages, mainly English. In this paper we investigate and review the plagiarism detection techniques and algorithms which have been developed for Arabic Script Languages (ASL), and providing a literature review of the utilized methods in terms of techniques and outcomes. The result of this paper will help the researchers who are going to commence their development and extend their researches in ASL like Arabic, Persian, Urdu, and Kurdish.
HEART DISEASE PREDICTION USING DATA MINING

ABSTRACT --Heart disease is one of the notable causes of death in worldwide everyday divination of heart disease is a critical challenge in area of medical data analysis. Machine learning (ML) has been shown to be successful in helping in making decision and prediction from huge quantity of data produced by medical health care industry. Medical data mining is an important area of data mining and considered as one of the important research field due to the application in medical health care domain. In medical data mining classification and prediction of medical dataset process challenges. It is difficult to medical practice to predict the heart attack as it complex task. The health sector at present contain the information that are hidden and which are important in making decision. Data mining algorithms such as Naive Bayes algorithm, decision tree algorithm and random forest are applied in the research for heart disease prediction the result show the comparison between the three algorithm and selecting the best one among three, the Random forest algorithm will provide the more accuracy can compared to all the three algorithms.
A Holistic Definition of Cross-Cultural Management Performance

Cross-cultural management has been conceptualised using a variety of perspectives from a simple focus on the cultural adaptation of pre-existing management skills, to being a management subset with unique skills, goals and processes (Torbiorn, 1985). This paper will examine various conceptualisations of cross-cultural management in the expatriate context and suggest that previous definitions that are strongly linked to cultural adjustment lead to limitations in management outcomes. This literature examination will conclude with a definition of cross-cultural management that goes beyond cultural adjustment and adaptation to include the unique management skills, goals and processes of cross-cultural management. The paper will critically examine the relationship between cross-cultural management and cultural intelligence.
Corporate social responsibility in Greek higher educational institutions

How to cite this paper: Pitoska, E. , Katarachia, A. , & Giannakis, K. (2018). Corporate social responsibility in Greek higher educational institutions. Corporate Governance and Organizational Behavior Review, 2(1), 31-39. http://doi.org/10.22495/cgobr_v2_i1_p3 Copyright © 2018 Virtus Interpress. All rights reserved The Creative Commons AttributionNonCommercial 4.0 International License (CC BY-NC 4.0) will be activated starting from May, 2019 followed by transfer of the copyright to the Authors ISSN Online: 2521-1889 ISSN Print: 2521-1870 Received: 24.02. 2018 Accepted: 22.05. 2018 JEL Classification: M14, A2, Q01 DOI: 10.22495/cgobr_v2_i1_p3 The purpose of the present paper is to explore how key stakeholders at the Higher Educational Institutions (HEIs) perceive Corporate Social Responsibility (CSR) and value its practical application. To analyse the dominant perceptions of stakeholders towards CSR in HEIs, a qualitative empirical research was conducted in the region of Northern Greece, via online structured questionnaires. The results demonstrated that there are differences in CSR perception and understanding among the surveyed stakeholders. It is worth noting that the majority of the participants were aware of the actual meaning and purpose of CSR, as well as of the potential benefits from its implementation. Most of the stakeholders considered CSR as a contemporary concept, related to environmental and social aspects, company profitability, legislative framework, voluntary work and charity as well as sustainable development. In addition, the research highlighted that it is vital that Greek HEIs incorporate CSR or business ethics in their curricula. Finally, the research also demonstrated the reasons for applying CSR in Higher Education and the methods of application, which would enable HEIs to build proper attitude towards CSR.
Water and fuel saving technologies: unpuddled bed and strip tillage for wet season rice cultivation in Bangladesh.

Shortages of water and the rapid spread of two-wheel tractors (2WT) have created the opportunity to develop locally-adapted conservation agriculture (CA) techniques for crop establishment by rice-based smallholders in South Asia. During 2009, the wet season rice (Oryza sativa L.) was transplanted into minimum tillage puddled; unpuddled-bed and strip tillage conditions in the drought-prone area of Bangladesh, to assess establishment methods that could reduce crop production cost and water use. Land preparations were done by the 2-WT operated, Versatile Multi-crop Planter (VMP) recently developed by CIMMYT, Bangladesh. Tillage treatments did not influence the shoot dry matter production. There was 65 % less diesel fuel required in the strip tillage treatment than with beds formed by VMP. Labour requirement for land preparation in beds formed by a shaper were 4.5 times higher than single pass puddling and beds formed by VMP. Time required to transplant seedlings was almost doubled in unpuddled plots relative to puddled plots. Weeding cost was higher in beds formed by VMP and strip tillage plots compared to other tillage treatments. Regardless of tillage treatment, 41-43 % less irrigation water was used by crops established by VMP planting operations as compared to a traditional tillage system.
Research on Audio-visual Emotion Fusion based on Superposition Response

The research tries to study humans' responses to superimposed costimulatory signals. The information, including music, natural images, may be perceived through sound and visual stimulus. The procedure is interested in the superposition state of superimposed vibrations, whereby two or more signals are perceived simultaneously, producing a perceptual impression that is considerably different than of each signal alone, owing to the interactions between perceived stimulus vibrations that induce a coordinated percept of a vibrational chord. We show that these temporal attributes and statistics are strongly related. At the same time, we reveal that this kind of superposition response is closely related to human's psychological mechanism.
Prehospital facilitated intervention as a potential “sally port” for the rescue of acute ST-segment elevation myocardial infarction: a meta-analysis

Background: Early reperfusion in ST-segment elevation myocardial infarction (STEMI) is associated with improved clinical outcomes. The purpose of this study was to characterize the benefits and risks of prehospital fibrinolysis with timely percutaneous coronary intervention (PCI) as a promising strategy which could reduce the reperfusion delay especially for the patients in remote areas. Methods: We identified clinical trials comparing the facilitated PCI versus primary PCI and divided them into two subgroups (prehospital treatment and in-hospital treatment). Results: We identified eighteen clinical trials involving 11118 patients. The facilitated PCI had higher rates of initial TIMI grade 3 flow compared with the primary PCI (44.6% vs 18.8%, P<0.01). Facilitated PCI with prehospital fibrinolysis was associated with lower incidences of cardiogenic shock (3.8% vs 5.7%, P=0.02), potential lower incidences of short-term mortality (4.3% vs 4.3%, P=0.94), heart failure (6.9% vs 8.3%, P=0.20) and major bleeding (2.4% vs 3.6%; P=0.06), and higher rates of urgent target vessel revascularization (5.2% vs 2.5%, P=0.0002) and total stroke (1.3% vs 0.4%, P=0.009) compared with primary PCI. Facilitated PCI with in-hospital fibrinolysis led to increased incidences of non-fatal reinfarction (3.4% vs 1.8%, P=0.0004) and total stroke (1.2% vs 0.4%, P=0.002), and potential risks for short-term death (4.5% vs 3.5%, P=0.10), cardiogenic shock (5.3% vs 4.7%, P=0.61), urgent target vessel revascularization (4.4% vs 3.5%, P=0.18), and major bleeding (5.8% vs 4.3%, P=0.11) compared with primary PCI. Conclusions: Facilitated PCI with prehospital fibrinolysis offered potential benefits over primary PCI for the treatment of STEMI, in spite of a slight increased risk of total stroke.
Accounting Procedures in the System of Searching and Generating the Balance Sheet of Accounting Information by Various Stakeholder Groups

This article emphasizes the importance of analyzing critically and using the multi-option models of running the accounting records that make it possible to considerably improve the harmonization of interests of various stakeholder groups and the quality of the accounting data as well. The authors have resorted to various conceptual principles as their study subject to carry out the research that is used by modern science and that is intended to tackle the challenges of realizing a quantum leap in business processes. The authors have demonstrated the peculiarities of generating and using multi-option models of running the accounting records, the specific features of their demonstration in the GAAP, IFRS systems, the continental accounting model and in the Russian practices. They consider the aggregate scenarios in financial and economic development of business entities as obtained by means of accounting sampling to be the most promising trend in optimizing the accounting information in the system of possible stakeholder inquiries. By reference to the results of the research the authors conclude that the interests of the property owners, executive management and mass public that are aimed at the neutrality criterion as obtained by means of the accounting information should be harmonized.
A case report supporting the concept that a role for the anti-Müllerian hormone (AMH) in normal folliculogenesis is to diminish the biological activity of follicle stimulating hormone (FSH)

Purpose: To describe a case where a woman was ovulating with regular menses despite very low sera follicle stimulating hormone (FSH) and luteinizing hormone (LH) levels. Case Report: Serum anti-Müllerian (AMH) was obtained because the woman was to be an egg donor for her identical twin sister. This 28-year-old woman responded fairly well to controlled ovarian hyperstimulation producing ten metaphase II eggs and eight fertilized and were cryopreserved on day 3. Her serum AMH level was subnormal at 0.6 ng/mL. Conclusions: This case suggests that FSH may be more biologically active in the presence of low AMH.
Intrinsic Nature of Dark Matter in the Galactic Halo

Ugur Camci Department of Chemistry and Physics, Roger Williams University, One Old Ferry Road, Bristol, RI 02809, USA; ucamci@rwu.edu; ugurcamci@gmail.com Version August 10, 2020 submitted to Entropy; Typeset by LATEX using class file mdpi.cls Abstract: We obtain more straightforwardly the main intrinsic features of dark matter distribution 1 in the halos of galaxies by considering the spherically symmetric space-time, which satisfies the 2 flat rotational curve condition, and the geometric equation of state resulting from the modified 3 gravity theory. In order to measure the equation of state for dark matter in the galactic halo, we 4 provide a general formalism taking into account the modified f (X) gravity theories. Here, f (X) 5 is a general function of X ∈ {R,G, T}, where R,G and T are the Ricci scalar, the Gauss-Bonnet 6 scalar and the torsion scalar, respectively. These theories yield that the flat rotation curves appear 7 as a consequence of the additional geometric structure accommodated by those of modified gravity 8 theories. Constructing a geometric equation of state wX ≡ pX /ρX and inspiring by some values of 9 the equation of state for the ordinary matter, we infer the properties of dark matter in galactic halos 10 of galaxies. 11
Towards Abstractive Captioning of Infographics

Machine understanding of text-based narratives have predominantly focused on documents with rigid hierarchical structures and sequentially ordered inputs. These inputs include documents such as news stories, encyclopedia entries, books, and many others. However, little research has focused on understanding text-based information without this structure. Current text understanding models fail when information is presented in less structured ways, without a clear and pre-defined spatial arrangement of the content. This thesis explores a subset of components required for understanding infographics – documents whose structure is not necessarily linear and whose content may involve a variety of images. We expand on state-of-the-art methodologies in character recognition and text summarization in order to better understand how to process content without a pre-determined spatial arrangement, and subsequently generate captions for given infographics automatically. To shine light at the reasoning behind the captions being generated, we develop a graphical user interface that helps visualize the portions of a document being used when generating specific parts of a caption. Thesis Supervisor: Frédo Durand Title: Professor
Competitive Algorithms for Ad Allocation in Cellular Networks ( AdCell ) ?

With more than four billion usage of cellular phones worldwide, mobile advertising has become an attractive alternative to online advertisements. In this paper, we propose a new targeted advertising policy for Wireless Service Providers (WSPs) via SMS or MMSnamely AdCell. In our model, a WSP charges the advertisers for showing their ads. Each advertiser has a valuation for specific types of customers in various times and locations and has a limit on the maximum available budget. Each query is in the form of time and location and is associated with one individual customer. In order to achieve a non-intrusive delivery, only a limited number of ads can be sent to each customer. Recently, new services have been introduced that offer location-based advertising over cellular network that fit in our model (e.g., ShopAlerts by AT&T) . We consider both online and offline version of the AdCell problem and develop approximation algorithms with constant competitive ratio. For the online version, we assume that the appearances of the queries follow a stochastic distribution and thus consider a Bayesian setting. Furthermore, queries are not i.i. d. and they may come from different distributions on different times. This model generalizes several previous advertising models such as online secretary problem [8], online bipartite matching [12,6] and AdWords [19]. Since our problem generalizes the well-known secretary problem, no non-trivial approximation can be guaranteed in the online setting without stochastic assumptions. We propose an online algorithm that is simple, intuitive and easily implementable in practice. It is based on pre-computing a fractional solution for the expected scenario and relies on a novel use of dynamic programming to compute the conditional expectations. We show that our algorithms are 1 2 and 1− 1 e -competitive when we have constraints on capacities and budgets respectively. We give tight lower bounds on the approximability of some variants of the problem as well. In the offline setting we achieve near-optimal bounds, matching the integrality gap of the considered linear program. We believe that our proposed solutions can be used for other advertising settings where personalized advertisement is critical.
Synthesis of Fluorescent Carbon Dots by Gastrointestinal Fluid Treatment of Mongolia Har Gabur

Har Gabur is the carbide obtained from pig manure by burning. The fluorescent carbon dots (CDs) of Har Gabur were successfully synthesized through simulating the digestion process of human gastrointestinal tract. Transmission Electron Microscope (TEM) analysis showed that the average size of the prepared Har Gabur CDs was 4 nm, with good solubility in water and strong fluorescence under UV irradiation. The X-ray and Raman results showed that the Har Gabur CDs were mainly composed of oxygen “O” and carbon “C” elements, in the forms of “C=O” and “C-O. ” The bond energy results showed that the nitrogen “N” atom presented as “C-N” form, which indicated that Har Gabur CDs also contain “N. ” In photobleaching assay, Har Gabur CDs showed excellent light stability compared with ordinary organic dye, fluorescein, and Rhodamine B. The fluorescence intensity of Har Gabur CDs was fairly stable within a wide pH range of 3–10. When L-lysine and L-cysteine were applied for the passivation stage, the relative quantum yields were improved by 1.53 and 3.68 times, respectively. Finally, the fluorescence properties of Har Gabur CDs were tested in cells and zebrafish, illustrating that Har Gabur CD has potential in the application of biological labeling and imaging.
Pro-Inflammatory Cytokines Reduce the Proliferation of NG 2 Cells and Increase Shedding of NG 2 In Vivo and In Vitro

Neuron glial 2 (NG2) cells become strongly activated in injured brain areas. The activation is characterized by increased proliferation as well as increased expression and shedding of the proteoglycan NG2 expressed on their cell surface. It is currently not known how these cells respond to low-grade neuroinflammation provoked by systemic inflammation. To investigate this, we analyzed NG2 cell proliferation as well as soluble NG2 (sNG2) in cerebrospinal fluid (CSF) from rats treated with an acute intraperitoneal (i.p) injection of lipopolysaccharides (LPS) or saline and sacrificed after 2 or 24 hours. The systemically induced neuroinflammation was confirmed as elevated levels of cytokines, including interleukin (IL)-6 and IL-1b, and MHCII expressing microglia were found 24 h after LPS treatment. At this time point NG2 cell proliferation was significantly decreased in both amygdala and hippocampus and sNG2 levels in CSF were increased twofold. We also exposed human NG2 cells in culture to IL-6 and IL-1b for 24 h and found, in line with our in vivo study, a direct impact of these cytokines reducing cell proliferation and increasing shedding of NG2. We conclude that LPS induced systemic inflammation significantly affects NG2 cell proliferation and shedding and that these two events at least in in part are mediated by IL-6 and IL-1b. Citation: Wennström M, Janelidze S, Bay-Richter C, Minthon L, Brundin L (2014) Pro-Inflammatory Cytokines Reduce the Proliferation of NG2 Cells and Increase Shedding of NG2 In Vivo and In Vitro. PLoS ONE 9(10): e109387. doi:10.1371/journal.pone. 0109387 Editor: Javier Vitorica, Universidad de Sevilla, Spain Received July 2, 2014; Accepted September 9, 2014; Published October 6, 2014 Copyright: 2014 Wennström et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its supporting information files (Tables S1 and S2). Funding: This work was financed by the Swedish Brain Foundation, Magnus Bergvall Foundation, regional state grants (ALF), the Swedish Research Council (No. K2009-61X-21524-01-1), and the Royal Fysiografiska Society. LB was supported by start-up grants from Michigan State University and Van Andel Research Institute, Grand Rapids, Michigan. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * Email: malin.wennstrom@med.lu. se