Miracle-dz/UniFAR-FTUs huggingface dataset:
Economic Policy Uncertainty and Stock Liquidity: The Role of Board Networks in an Emerging Market

PurposeThe purpose of this study is to examine the role of board networks in promoting stock liquidity when there is high economic policy uncertainty using a sample of Brazilian firms from 2002 to 2015.Design/methodology/approachThe study employs the ordinary least squares estimation method with standard errors clustered at the firm level for preliminary analysis, besides the study employs the two-step GMM dynamic estimation method to deal with potential endogeneity issues.FindingsFirst, the findings show that economic policy uncertainty disproportionately contributes to stock illiquidity and the impact is mainly prominent for high risky companies, small firms and firms in competitive industries. Second, the author provides evidence that board networks promote stock liquidity more via the information channel when economic policy uncertainty is very high.Practical implicationsGiven the adverse effects of economic policy uncertainty on stock liquidity, governments need to swiftly communicate and implement policies that affect the capital market to avoid the drying up of liquidity, which is exacerbated by communication or implementation lags. Also, there is a need for the regulators to continuously encourage the inclusion of independent directors in boards, which helps to increase board monitoring capacity and the firms' ability to respond to changes in the external environment.Originality/valueUnlike other studies that focus on the adverse effects of economic policy uncertainty on firm outcomes, the novel contribution is that the author uncovers the role of board networks in mitigating the negative effects of economic policy uncertainty on stock liquidity.
Multi-objective optimisation of stochastic hybrid production line balancing including assembly and disassembly tasks

Assembly and disassembly are important activities in the manufacturing/remanufacturing process. Although the line balancing problems of them have been extensively discussed in the existing literature, they are rarely integrated into one system. In this paper, a hybrid production line balancing problem is adopted while considering the similarity between the assembly and disassembly tasks. First, to better reflect the uncertainty existing in the actual production environment, a mathematical model of the multi-objective stochastic hybrid production line balancing problem is presented, in which task disassembly times are assumed to be random variables with known normal probability distributions. Then, a hybrid VNS-NSGA II algorithm combining variable neighbourhood search (VNS) and non-dominated sorting genetic algorithm II (NSGA II) is proposed to solve the problem. VNS is embedded into NSGA II as a local search to improve the quality of the solutions found by the NSGA II at each generation. Finally, the effectiveness of the proposed method is verified by a case study, and the superiority of hybrid production line is reflected by comparing the solutions of the independent production line with the hybrid production line. Computational comparisons demonstrate the potential benefits of the hybrid production line and the proposed method.
LOPDF: a framework for extracting and producing open data of scientific documents for smart digital libraries

Background Results of scientific experiments and research work, either conducted by individuals or organizations, are published and shared with scientific community in different types of scientific publications such as books, chapters, journals, articles, reference works and reference works entries. One aspect of these documents is their contents and the other is metadata. Metadata of scientific documents could be used to increase mutual cooperation, find people with common interest and research work, and to find scientific documents in the matching domains. The major issue in getting these benefits from metadata of scientific publications is availability of these data in unstructured (or semi-structured) format so that it can not be used to ask smart queries that can help in computing and performing different types of analysis on scientific publications data. Also, acquisition and smart processing of publications data is a complicated as well as time and resource consuming task. Methods To address this problem we have developed a generic framework named as Linked Open Publications Data Framework (LOPDF). The LOPDF framework can be used to crawl, process, extract and produce machine understandable data (i.e., LOD) about scientific publications from different publisher specific sources such as portals, XML export and websites. In this paper we present the architecture, process and algorithm that we developed to process textual publications data and to produce semantically enriched data as RDF datasets (i.e., open data). Results The resulting datasets can be used to make smart queries by making use of SPARQL protocol. We also present the quantitative as well as qualitative analysis of our resulting datasets which ultimately can be used to compute the research behavior of organizations in rapidly growing knowledge society. Finally, we present the potential usage of producing and processing such open data of scientific publications and how results of performing smart queries on resulting open datasets can be used to compute the impact and perform different types of analysis on scientific publications data.
Photocatalytic H2 evolution for α-, β-, γ-Ga2O3 and suppression of hydrolysis of γ-Ga2O3 by adjusting pH, adding a sacrificial agent or loading a cocatalyst

In contrast to α- and β-Ga2O3 which have already been studied as photocatalysts for pure water splitting, there has been no report on the γ-phase. A comparative study on α-, β- and γ-Ga2O3 all prepared by a precipitation method was therefore performed. The as-prepared gallium oxides were phase-identified by powder X-ray diffraction, where γ-Ga2O3 possessed the most broad reflection peaks due to poor crystallization. Scanning electron microscopy and N2 adsorption–desorption experiments confirmed the morphology, and the specific surface areas were 144.3, 30.7, and 77.3 m2 g−1 for γ-, β- and α-Ga2O3, respectively. Photocatalytic H2 evolution efficiency in pure water was determined to be in the order of γ-Ga2O3 > α-Ga2O3 > β-Ga2O3, and the efficiencies were all much higher than that of P25–1 wt% Ag. A slight hydrolysis process was observed for γ-Ga2O3. Both lowering the pH value (∼4.5) by H2SO4 and adding sacrificial agent (CH3OH) were applied to prohibit the hydrolysis completely. Eventually, 1 wt% Ag was loaded as a cocatalyst in order to not only improve the stability but also to increase the H2 generation rate to 742 μmol h−1 g−1 in pure water. In addition, for this particular photocatalyst, the optimal apparent quantum yield achieved at 254 nm was 8.34%. Our work represents the first study of γ-Ga2O3 in the application of photocatalytic water splitting, and indeed it might have a high potential in solar energy conversion.
Automatic Fault Mapping in Remote Optical Images and Topographic Data With Deep Learning

Faults form dense, complex multi‐scale networks generally featuring a master fault and myriads of smaller‐scale faults and fractures off its trace, often referred to as damage. Quantification of the architecture of these complex networks is critical to understanding fault and earthquake mechanics. Commonly, faults are mapped manually in the field or from optical images and topographic data through the recognition of the specific curvilinear traces they form at the ground surface. However, manual mapping is time‐consuming, which limits our capacity to produce complete representations and measurements of the fault networks. To overcome this problem, we have adopted a machine learning approach, namely a U‐Net Convolutional Neural Network (CNN), to automate the identification and mapping of fractures and faults in optical images and topographic data. Intentionally, we trained the CNN with a moderate amount of manually created fracture and fault maps of low resolution and basic quality, extracted from one type of optical images (standard camera photographs of the ground surface). Based on a number of performance tests, we select the best performing model, MRef, and demonstrate its capacity to predict fractures and faults accurately in image data of various types and resolutions (ground photographs, drone and satellite images and topographic data). MRef exhibits good generalization capacities, making it a viable tool for fast and accurate mapping of fracture and fault networks in image and topographic data. The MRef model can thus be used to analyze fault organization, geometry, and statistics at various scales, key information to understand fault and earthquake mechanics.
La “grande bellezza”: thirty years of Italian set locations

ABSTRACT From the farthest north to the deepest south, the cities, towns, and countryside of Italy have provided set locations which show us images of an Italy that is multiform and various. Based on a massive database of more than 5000 Italian-set films from 1988 to 2016, this paper explores the geography of Italian set locations and their related cinematic landscapes. In order to achieve this goal, the study proceeds in two phases. First, the paper identifies the concentrations of set locations (filmogenic spots) overall and by genre in particular areas through spatial analysis tools. Second, it presents a qualitative analysis of the representation of selected locations, underlining the different roles played by the landscape in film narratives. By using an integrated quali-quantitative perspective, the paper offers an analysis that combines the spatial and the representational dimensions of Italian set locations over a wide area for a long period.
Unsaturated Flow Processes and the Onset of Seasonal Deformation in Slow‐Moving Landslides

Predicting rainfall‐induced landslide motion is challenging because shallow groundwater flow is extremely sensitive to the preexisting moisture content in the ground. Here, we use groundwater hydrology theory and numerical modeling combined with five years of field monitoring to illustrate how unsaturated groundwater flow processes modulate the seasonal pore water pressure rise and therefore the onset of motion for slow‐moving landslides. The onset of landslide motion at Oak Ridge earthflow in California’s Diablo Range occurs after an abrupt water table rise to near the landslide surface 52–129 days after seasonal rainfall commences. Model results and theory suggest that this abrupt rise occurs from the advection of a nearly saturated wetting front, which marks the leading edge of the integrated downward flux of seasonal rainfall, to the water table. Prior to this abrupt rise, we observe little measured pore water pressure response within the landslide due to rainfall. However, once the wetting front reaches the water table, we observe nearly instantaneous pore water pressure transmission within the landslide body that is accompanied by landslide acceleration. We cast the timescale to reach a critical pore water pressure threshold using a simple mass balance model that considers variable moisture storage with depth and explains the onset of seasonal landslide motion with a rainfall intensity‐duration threshold. Our model shows that the seasonal response time of slow‐moving landslides is controlled by the dry season vadose zone depth rather than the total landslide thickness.
What Facets of Picky Eating Relate to Eating Concerns in Undergraduate Students?: The Moderating Effects of Negative Psychological Correlates

Purpose: Picky eating (PE) can occur in adulthood and is associated with mental health concerns. PE is often conceptualized as distinct from disordered eating (DE), but recent research maps positive relationships between these maladaptive eating phenotypes. Precisely what PE facets relate to DE remain unknown, as do factors such as negative psychological correlates that might explain relationships between PE facets and DE.Methods: A large, undergraduate sample (N=509) completed an online survey assessing PE facets (Adult Picky Eating Questionnaire; meal presentation, food variety, meal disengagement, and taste aversion), disordered eating (Eating Disorder Examination Questionnaire), specifically eating concerns, and negative psychological correlates such as mental health concerns (Depression, Anxiety and Stress Scale - 21 Items) and inflexible eating (Inflexible Eating Questionnaire). Results: Positive relationships emerged between PE facets, eating concerns, and negative psychological correlates. Negative psychological correlates moderated relationships between PE facets and eating concerns. Meal presentation, meal disengagement, and taste aversion were more strongly associated with eating concerns when mental health concerns and inflexible eating were higher. Food variety did not significantly explain variance in eating concerns.Conclusions: Considering PE multidimensionally may yield important insights beyond the broader construct. Mental health concerns and inflexible eating may be treatment and research targets in addressing the overlap between PE facets such as meal presentation, meal disengagement, and taste aversion and eating concerns. Level of Evidence: Level V, cross-sectional descriptive study.
Role of oxygen in the UV-ps laser triggered amorphization of poly-Si for Si solar cells with local passivated contacts

In recent years, poly-Si based passivated contacts elevated the conversion efficiencies of crystalline Si solar cells to levels of 26%abs due to their outstanding electrical surface passivation performance and current transport characteristics. A major associated challenge, however, is the large parasitic light absorption within the doped poly-Si, regardless if the contacts are applied on the front and/or on the rear side of the solar cell. It, therefore, might be beneficial to confine the passivated contacts to local regions underneath the metal contacts. We present an effective and flexible laser-based approach to structure the poly-Si layer after its full-area deposition. Laser pulses with a pulse duration of 9 ps and a wavelength of 355 nm trigger an amorphization of the poly-Si surface. The minimum threshold fluence for amorphization is between 89 and 129 mJ/cm2. The a-Si layer, which is laterally homogeneous and up to (33 ± 4) nm in thickness, works as an etch barrier in an alkaline solution. The most robust barrier corresponding to the maximum thickness of the a-Si layer is found for a fluence of (270 ± 30) mJ/cm2. Besides the impact of the laser fluence on the etch resistiveness of the modified poly-Si layer, we study the role of oxygen during the laser process. We find that oxygen becomes incorporated into the material for certain laser fluences, which results in a more robust etch barrier. The amount of oxygen incorporated is below 3 wt. %. Eventually, we present a phenomenological model of our findings.
The correct use of the names Synedra Ehrenberg and Catacombas Williams & Round, a note on the name ‘Hystrix Bory 1822’, and some suggestions how to tackle the taxonomic relationships of Synedra

The genus name Synedra should now be used only for a group of marine species previously included in Catacombas, the latter name becoming a junior synonym. From a purely nomenclatural point of view, as numerous names remain in Synedra when they clearly do not belong there, a problem exists in how to treat those names. Two suggestions are made. One might explore existing names and their associated data; or one may treat the matter as a scientific problem, the problem of taxon relationships at various levels in the taxonomic hierarchy (genus, family, order, etc.), and explore the issue via systematic treatment of groups of species from the point of view of their monophyly. Monophyletic classifications at all ranks and supported by evidence (characters) allows a more scientific approach to understanding the relationships among various groups of species.
Model Predictive Current Control for Three-Level Inverter-Fed PMSM Drives Based on Variable Sequence Space Vector Modulation

In this paper, a variable sequence space-vector-modulation-based model predictive current control (VSSVMMPCC) is proposed for permanent magnet synchronous motor (PMSM) supplied by a neutral-point clamped three-level voltage source inverter (NPC-3LVSI). Unlike the conventional space-vector-modulation-based model predictive current control (SVMMPCC), which uses conventional switching sequence to synthesize voltage reference vector, the proposed VSSVM-MPCC exploits novel switching sequences to reduce total harmonic distortion (THD) in the fundamental line current. After obtaining the voltage reference vector, it is synthesized by the optimal switching sequence based on the principle of minimizing current harmonics. Moreover, the fluctuation of neutral point voltage (NPV) is addressed by adjusting slightly the selected switching sequence. Compared with conventional SVM-MPCC, the proposed method is studied by theoretical analysis and simulation over the whole range of modulation. The results confirm that the proposed method reveals better steady-state performance, reducing THD by more than 25% at high modulation indices at a given average switching frequency.
Persuasive language and features of formality on the r/ChangeMyView
 subreddit

The paper investigates formal language in persuasive discourse on the r/ChangeMyView subreddit. We collected a corpus of 100 million messages, split into subcorpora based on the user-awarded marker delta, which rewards changing an original poster’s view. Assuming that formality/informality is potentially an important factor in the persuasiveness of a message, we examine the two subcorpora with respect to formality markers. The results indicate no systematic variation along the formality/informality continuum between persuasive and non-persuasive posts on r/ChangeMyView. The posters use personal pronouns, suasive verbs, emphatics, imperatives, elaborate connectors and WH-questions with similar frequency, and express themselves using vocabulary and syntax of similar complexity. Moreover, keyword lists and n-gram rankings indicate no register difference. A qualitative analysis of concordance lines for persuade and change PRONOUN view paints a picture of a community that values factual, evidence-based discourse and openness to logical persuasion, with a linguistic norm of relatively formal, sophisticated register.
To Analyse the Effect of Relaxation Type on Magnetic Resonance Image Compression Using Compressive Sensing

Medical Imaging and scanning technologies are used to provide better resolution of body and tissues. To achieve a better quality Magnetic Resonance (MR) image with a minimum duration of processing time is a tedious task. So our purpose in this paper is to find out a solution that can minimize the reconstruction time of an MRI signal. Compressive sensing can be used to accelerate Magnetic Resonance Image (MRI) acquisition by acquiring fewer data through the under-sampling of k-space, so it can be used to minimize the time. But according to the relaxation time, we can further classify the MRI signal into T1, T2, and Proton Density (PD) weighted images. These weighted images represent different signal intensities for different types of tissues and body parts. It also affects the reconstruction process conducted by using the Compressive Sensing Approach. This study is based on finding out the effect of T1, T2, and Proton Density (PD) weighted images on the reconstruction process as well as various image quality parameters like MSE, PSNR, & SSIM also calculated to analyze this effect. Meanwhile, we can analyze how many samples are enough to reconstruct the MR image so the problem associated with time and scanning speed can be reduced up to an extent. In this paper, we got the Structural Similarity Index Measure (SSIM) value up to 0.89 & PSNR value 37.83451 dB at an 85 % compression ratio for the T2 weighted image.
Perceived Usefulness, Perceived Ease of Use in ICT Support and Use for Teachers

The need to determine the mediating role of perceived usefulness and perceived ease of use in information communication technology (ICT) support and ICT use in practical experiences among teachers prompted this study. The study draws on questionnaire responses from 104 teaching staffs comprising 88 teachers from the University of Nigeria and 16 teachers from Indira Gandhi National Open University, India to test the hypotheses suggested. Perceived usefulness and perceived ease of use were set as mediators. Our report suggests the following: that association between ICT support and ICT use was positively significant, that teachers’ attitude towards ICT acceptance and use predicts actual use, and that perceived usefulness and perceived ease of use are kind of positive partial mediators to ICT supports and ICT use. Implications of these conclusions for education practice were discussed.
Design and development of multifunctional structures for unmanned aerial vehicles (UAVs)

ABSTRACT Due to the excellent developments and uses in aerial photography including image recognition applications, unmanned aerial vehicles (UAV) or drones have been a hot topic in recent years, covering technology, security problems, rules and regulations globally. This UAV are the obvious successors to modern planes and advances in artificial intelligence. The new UAV generation focuses on the capabilities and recognition of wartime, leaving an existing industry unexplored by UAV technology: the corporate sector. This paper highlights the different materials and methods involved on the fabrication of solar cell of UAV. The Solar cells of the UAV are analysed using NASTRAN for Glass Fibre Reinforcement Plastic (GFRP) and Sandwich material in view of changes of mechanical properties. These results are compared with experimental values.
Bandgap Engineering of ZrGaO Films for Deep-Ultraviolet Detection

In this letter, we successfully prepared tunable bandgap ZrGaO films on n-GaN substrates by RF magnetron sputtering. ZrGaO films with different Zr contents were successfully prepared with Zr target sputtered with various RF powers and Ga<sub>2</sub>O<sub>3</sub> target sputtered with an RF power of 100 W. The bandgap of ZrGaO film deposited with a Zr target sputtering power of 70 W was broadened to 5.4 eV, indicating that Zr can be a promising candidate to enlarge the bandgap of Ga<sub>2</sub>O<sub>3</sub>. Based on this ZrGaO film, a deep-ultraviolet photodetector was fabricated, which has an ultrahigh photo-to-dark ratio up to 10<sup>4</sup> and a high responsivity (0.035 A/W at 0 V bias). The proposed idea of preparing bandgap tunable ZrGaO film by alloying ZrO<sub>2</sub> with Ga<sub>2</sub>O<sub>3</sub> is of great significance to the bandgap engineering of Ga<sub>2</sub>O<sub>3</sub> and to its application in ultraviolet detection.
Optimizing DODAG Build with RPL Protocol

In the lossy wireless network routing system based on RPL technology, an improved DODAG construction optimization scheme is proposed for sensor nodes with low-power dissipation in the interference environment. If a node discovers that all paths between it and its neighbors have failed, the node reset action begins. Once the node reset is complete, the DODAG system build process is resumed. This prevents the DODAG root from initiating a global fix by incrementing the DODAG VersionNumer to produce a new version of the DODAG in a disruptive environment. The power loss caused by this global repair operation is avoided. The performance of DODAG in interference environment is enhanced, and the data retransmission rate is reduced.