Miracle-dz/UniFAR-FTUs huggingface dataset:
Nurses ’ leadership selfe ffi cacy , motivation , and career aspirations

Purpose – This paper aims to test a model examining precursors and outcomes of nurses’ leadership selfefficacy, and their aspirations to management positions. Design/methodology/approach – A cross-sectional survey of 727 registered nurses across Canada was conducted. Structural equation modelling usingMplus was used to analyse the data. Findings – Results supported the hypothesized model: x (312) = 949.393; CFI = 0.927; TLI = 0.919; RMSEA= 0.053 (0.049-0.057); SRMR 0.044. Skill development opportunities ( ß = 0.20), temporary management roles ( ß = 0.12) and informal mentoring ( ß = 0.11) were significantly related to nurses’ leadership self-efficacy, which significantly influenced motivation to lead ( ß = 0.77) and leadership career aspirations ( ß = 0.23). Motivation to lead was significantly related to leadership career aspirations ( ß= 0.50). Practical implications – Nurses’ leadership self-efficacy is an important determinant of their motivation and intention to pursue a leadership career. Results suggest that nurses’ leadership self-efficacy can be influenced by providing opportunities for leadership mastery experiences and mentorship support. Leadership succession planning should include strategies to enhance nurses’ leadership self-efficacy and increase front-line nurses’ interest in leadership roles. Originality value – With an aging nurse leader workforce, it is important to understand factors influencing nurses’ leadership aspirations to develop and sustain nursing leadership capacity. This research study makes an important contribution to the nursing literature by showing that nurses’ leadership selfefficacy appears to be an important determinant of their motivation to lead and desire to pursue a career as a nurse leader.
Application of neural network and Levenberg–Marquardt algorithm for electrical grid planning

In the present scenario of industrial growth, technological advancement and population growth, the single most inseparable commodity is electrical energy. This paper presents a novel way to use Neural Networks to forecast long-term electricity load and use the result for proper grid planning in terms of expansion and maintenance. Uninterrupted, reliable and cheap electricity can only be available if there is a proper planned and stable grid, which can be achieved only through proper futuristic grid planning models. In this paper, focus is centered to form the cluster of areas based on the forecasted energy needs in India. Priority ranking also allocated to decide the level of expansion for forthcoming decades.
Multi-sensor three-dimensional Monte Carlo localization for long-term aerial robot navigation

This article presents an enhanced version of the Monte Carlo localization algorithm, commonly used for robot navigation in indoor environments, which is suitable for aerial robots moving in a three-dimentional environment and makes use of a combination of measurements from an Red,Green,Blue-Depth (RGB-D) sensor, distances to several radio-tags placed in the environment, and an inertial measurement unit. The approach is demonstrated with an unmanned aerial vehicle flying for 10 min indoors and validated with a very precise motion tracking system. The approach has been implemented using the robot operating system framework and works smoothly on a regular i7 computer, leaving plenty of computational capacity for other navigation tasks such as motion planning or control.
Solving Inverse Kinematics of Robot Manipulators by Means of Meta-Heuristic Optimisation

This paper presents the use of meta-heuristic algorithms (MHs) for solving inverse kinematics of robot manipulators based on using forward kinematic. Design variables are joint angular displacements used to move a robot end-effector to the target in the Cartesian space while the design problem is posed to minimize error between target points and the positions of the robot end-effector. The problem is said to be a dynamic problem as the target points always changed by a robot user. Several well established MHs are used to solve the problem and the results obtained from using different meta-heuristics are compared based on the end-effector error and searching speed of the algorithms. From the study, the best performer will be obtained for setting as the baseline for future development of MH-based inverse kinematic solving.
LPGA: Line-of-Sight Parsing with Graph-Based Attention for Math Formula Recognition

We present a model for recognizing typeset math formula images from connected components or symbols. In our approach, connected components are used to construct a line-of-sight (LOS) graph. The graph is used both to reduce the search space for formula structure interpretations, and to guide a classification attention model using separate channels for inputs and their local visual context. For classification, we used visual densities with Random Forests for initial development, and then converted this to a Convolutional Neural Network (CNN) with a second branch to capture context for each input image. Formula structure is extracted as a directed spanning tree from a weighted LOS graph using Edmonds' algorithm. We obtain strong results for formulas without grids or matrices in the InftyCDB-2 dataset (90.89% from components, 93.5% from symbols). Using tools from the CROHME handwritten formula recognition competitions, we were able to compile all symbol and structure recognition errors for analysis. Our data and source code are publicly available.
Sustainability and air transport Zurich airport case study

The research goal was to evaluate the environmental sustainability of Zurich Airport. The method used was to compare the environmental costs to the economic and social benefits generated by the airport. The analysis was completed on both the regional and global levels. The results show that Zurich Airport air transport generates more economic value than environmental and social costs. This research evaluates the economic marginal utility of increased and decreased aircraft movements at Zurich Airport by calculating the travel time changes compared to those based on the 2007 level of aircraft movements. The travel time changes for passengers, weighted according to demand, can then be described monetarily. Next, this monetary value can be compared to the environmental costs. Finally, it should be noted that the social benefits (social utility) of air transport were considered in connection with the travel time savings. This section begins with a background description of accessibility and then presents the details on how the marginal utility of travel time changes was estimated in this research.
Research on the Building of Emotion Metaphor Corpus Based On Machine Translation

With the burgeoning development of computer and artificial intelligence technology, human has stepped into an era of information explosion. The languages’ translation, which is the oldest communication method for people, has ushered in an era of machine automatic translation [1]. At present, large amount of languages contain various kinds of emotional descriptions and judgments, and the feelings can only be understood by deep understanding and processing. In the process of machine translation, people are eager to empower the machine with capabilities of feeling, understanding and transferring emotion in translation, and adopting smart algorithm to calculate and imitate emotions in massive data automatically [2]. Emotion calculation is one of the important researches in natural language processing (NLP). Calculating emotions of different samples in the corpus is key to stepping into deep semantic gap of computer linguistics and machine translation, which has important research meaning. ABSTRACT: Metaphor is a result of emotion conceptualization hidden in human language. Due to the complexity and abstraction of human emotion, it is difficult to calculate and create a model for it. However, emotion modeling and calculation is of great significance in the process of machine translation (MT). Usually, incorporating the calculation of emotion metaphors in machine translation could make the language much more vivid and meet the standards of faithfulness, expressiveness and elegance in translation. Normally, calculation of emotion metaphor adopts machine learning and pattern identification, and it requires the samples from emotion metaphor corpus of large scale and high quality. The thesis builds an English and Chinese bilingual corpus with affluent emotion metaphors and supports data to emotion metaphor calculation by machine translation. In the process of building emotion metaphor corpus, 5 main procedures including theoretical framework, design principles, data collection, data annotation and index monitoring are illustrated. Finally, machine translation experiment has been done in emotion metaphor corpus built in this thesis, which adopts same recurrent neural network and LSTM mnemon to compare with existing machine translation corpora. Result shows that the emotion metaphor corpus built in this thesis is able to express emotion metaphor in machine translation.
School of Nursing 1-1-2018 Exploring Challenges in Conducting E-Mental Health Research Among Asian American Women

In this discussion paper, we explore the challenges of conducting e-mental health intervention research among Asian American women and propose a model for addressing these barriers. Based on an extensive literature review, we identify two main types of barriers to conducting e-mental health intervention research among Asian American women: recruitment barriers and adherence barriers. Recruitment barriers are further subcategorized into those related to (1) stigmatized cultural beliefs about mental illness and mental health services; (2) lack of awareness about mental health services; and (3) language barrier. As to adherence barriers, the two identified subtypes concern (1) acuity and severity of mental health condition; and (2) lack of time. In order to enhance recruitment and adherence in e-mental health intervention research among the studied population, we formulate the following three main research strategies, namely: (1) considering the cultural and social contexts of Asian American women in the development of e-mental health interventions; (2) determining appropriate program length; and (3) conducting feasibility studies to test e-mental health interventions. We suggest that nurse researchers integrate our proposed model in conducting e-mental health interventions among Asian American women. Our proposed model also implies that nurses play an important role in encouraging Asian American women’s acceptance of and adherence to e-mental health interventions. In order to overcome the obstacles to conducting e-mental health research among Asian American women, we recommend that nurses familiarize themselves with credible, relevant, and evidence-based e-mental health resources and integrate online mental health services and information within their nursing practice.
GABOR ANALYSIS AND TIME-FREQUENCY METHODS

harmonic analysis explains how to describe the (global) Fourier Tranasform (FT) of signals even over general LCA (locally compact Abelian) groups, but typically requires square integrability or periodicity. For the analysis of time-variant signals an alternative is needed, the so-called sliding window FT or the STFT, the shorttime Fourier transform, defined over phase space, the Cartesian the product of the time domain with the frequency domain. Starting from a signal f it is obtained by first localizing f in time using a (typically bump-like) window function g followed by a Fourier analysis of the localized part [1]. Another important application of timefrequency analysis is in wireless communication where it helps to design reliable mobile communication systems. This article presents the key ideas of Gabor Analysis as a subfield of time-frequency analysis, as inaugurated by Denis Gabor’s work [21]. There are two equivalent views: either focus on redundancy reduction of the STFT by sampling it along some lattice (Gabor himself suggested to use the integer lattice in phase space) requiring stable linear reconstruction, or to emphasize the representation of f as superposition of timefrequency shifted atoms as building blocks. Thinking in terms of real-time signal processing engineers also use the concept of filter banks to describe the situation. Each frequency channel contains all the Gabor coefficients corresponding to a fixed frequency [4]. From a mathematical perspective Gabor analysis can be considered as a modern branch of harmonic analysis over the Heisenberg group. The most useful description of the Heisenberg group for time-frequency analysis is the one, where R × R × R is endowed with the group law (x, ω, s)⊗ (y, η, t) = (x+ y, ω+ η, s+ t+ y ·ω−x · η). The representation theory of the Heisenberg group constitutes the mathematical framework of time-frequency analysis [22]. Gabor analysis is a branch of time-frequency analysis, which has turned out to have applications in audio-mining, music, wireless communication, pseudodifferential operators, function spaces, Schrödinger equations, non-commutative geometry, approximation theory, or the Kadison-Singer conjecture [33, 7, 8, 23, 10, 11, 32, 34, 35, 5]. Recent progress in wireless communication relies on modeling the transmission channels as pseudodifferential operators, whose symbol belongs to a Sjöstrand’s class [43, 29]. 1991 Mathematics Subject Classification. Primary 42C15, 42B35.
valuating ex situ conservation projects : Genetic structure of the captive opulation of the Arabian sand cat athrin

Ex situ conservation plays an increasingly important role in the conservation of endangered species. Molecular genetic markers can be helpful to assess the status of captive breeding programmes. We present the first molecular genetic analysis of the captive population of the Arabian sand cat (Felis margarita harrisoni) using microsatellites. Our data indicates that the captive population of F. m. harrisoni comprises
1 Quality of systematic reviews of the Foods with 2 Function Claims in Japan : comparative before-and 3 after-evaluation on verification reports by the 4 Consumer Affairs Agency 5

Background: In Japan, a new type of foods with health claims, called Foods with Function 27 Claims (FFC), was introduced in April 2015 in order to make more products available that are clearly 28 labeled with certain health functions. Regarding substantiating the product effectiveness, scientific 29 evidence for the proposed function claims must be explained by systematic reviews (SRs), but the 30 quality of SRs was not clear. The objectives of this review were to assess the quality of SRs based on 31 the FFC registered on the Consumer Affairs Agency (CAA) website in Japan, and to determine 32 whether the CAA’s verification report in 2016 was associated with improvement in the quality of 33 SRs. 34 Methods: We evaluated the reporting quality of each SR by the AMSTAR checklist (Shea, et al., 35 2007) on methodological quality. We searched the database from 01 April to 31 October 2015 as the 36 before-SR and from 01 July 2017 to 31 January 2018 as the after-SR. 37 Results: Among the 104 SRs reviewed, 96 final products were included: 51 (53.1%) were 38 supplements, 42 (43.8%) were proceed foods without supplements, and 3(3.1%) were fresh foods. Of 39 the 104 SRs, 92 (88.5%) were qualitative reviews (i.e., without meta-analysis) and 12 (11.5%) 40 performed a meta-analysis. The average quality of before-SRs and after-SRs was 6.2±1.8 and 5.0±1.9, 41 respectively, a statistically significant decrease (p < 0.001). 42 Conclusion: Overall, the methodology and reporting quality of after-SRs based on the FFC were 43 poorer than before-SRs. In particular, there were very poor descriptions and/or implementations of 44 study selection and data extraction, search strategy, evaluation methods for risk of bias, assessment 45 of publication bias, and formulating conclusions based on methodological rigor and scientific quality 46 of the included studies. 47 Trial Registration: PROSPERO (CRD42017080833) and UMIN-CTR (UMIN000029821) 48 Nutrients 2019, 11, x FOR PEER REVIEW 2 of 11
BETaaS: Building the Environment for the Things as a Service

This report contains the definition of the architecture for the BETaaS platform, including all the components in the platform and the main external interfaces, in order to clarify how interactions will happen among the components. It also gives some initial hints about the potential deployment of the components. This architecture will be used as the base of the implementation and updated in M16, according to testing and validation results. BETaaS D3.1.1 BETaaS Architecture Version 1.1 Page: 2 of 42 Document History Vers. Issue Date Total pages Modified pages Modifications implemented Author Organisation 0.1 25/03/2013 12 ToC, introduction and section 3.1, initial architecture in section 4 Fco. Javier Nieto ATOS 0.2 20/05/2013 14 6 Section 5.4, updates to section 4 and 3 Fco. Javier Nieto, Sergio García ATOS 0.3 20/06/2013 22 9 Content for section 3.7, 4.2, 5.6, 3.4, 5.5, 3.6, 5.7, 6 Fco. Javier Nieto, Sergio García, Izaskun Mendia, Luca Cucchi, Alessandro Mamelli, Davide Sommacampagna ATOS, TECN, INTECS, HP 0.4 26/06/2013 30 15 Updates in BigData, QoSM, Things Adaptor (sections 3 and 5). Updates to the architecture (section 4) Fco. Javier Nieto, Sergio García, Alessandro Mamelli, Davide Sommacampagna, Nikolaos Zonidis ATOS, HP, CONV 0.5 27/06/2013 32 13 Updates in 5.1, 5.2, 5.3, 5.5, 5.6 and 5.7 Fco. Javier Nieto, Sergio García, Belén Martínez, Luca Cucchi ATOS, TECN, INTECS 0.6 28/06/2013 36 10 Updates of diagrams and addition information about interfaces in section 5 Fco. Javier Nieto, Sergio García, Belén Martínez, Nikolaos Zonidis, Alessandro Mamelli, Davide Sommacampagna, Nikolaos Zonidis ATOS, TECN, CONV, HP 1.0 29/06/2013 41 10 Updates in section 1, section 3 and section 6 Fco. Javier Nieto ATOS 1.1 30/06/2013 41 3 Minor updates in several sections Fco. Javier Nieto, Izaskun Mendia, Belén Martínez ATOS, TECN BETaaS D3.1.1 BETaaS Architecture Version 1.1 Page: 3 of 42 Executive Summary According to the BETaaS conceptual model and the definition of the basic and extended capabilities, BETaaS must cover several functionalities at different levels: adaptation, TaaS and service. In this document, we have analysed the required capabilities, extracting a list of functionalities to be provided by BETaaS platforms. These functionalities have been described and have been mapped with the capabilities at the different layers. Based on these functionalities, a high level architecture has been defined in such a way it can cover all the functionalities and, at the same time, it does not require to perform isolated implementations for each layer. All those components identified have been detailed with concrete designs, in order to facilitate their implementation and, moreover, their external interfaces have been identified, in order to facilitate the definition of the interactions in the API focused document. Finally, deployment options have been described, in order to provide a clear idea on how to configure BETaaS gateways. BETaaS D3.1.1 BETaaS Architecture Version 1.1 Page: 4 of 42 Table of
Private Lenders ’ Demand for Audit 1

We study clauses in private lending agreements requiring auditors to assure lenders of borrowers’ compliance with financial covenants. Auditors are required under general purpose financial reporting to review covenant compliance. However, by informing lenders directly that they have no knowledge of default, auditors may increase their litigation risk. We find that auditor covenant compliance assurance clauses are significantly associated with more complex contractual adjustments to net income, the extent of reliance on accounting information in the contract, intangibility of borrowers’ assets, the number of lenders and loan maturity. We provide novel evidence of the audit market enhancing efficient contracting. JEL classification: M41; M44; M49
Research of Type 2 Diabetes Patients’ Problem Areas and Affecting Factors

Background: The study was descriptively conducted in order to determine problem areas and the affecting factors among the Type II diabetes patients. Methods: The study was carried out between August and October, 2011 in the Endocrinology Polyclinic in Adiyaman, Turkey. The population of the study was made up by Type II diabetes patients who were diagnosed with diabetes at least one year ago and came to Endocrinology Polyclinics at the study period. The sample of the research consisted of 188 patients who were recruited using random sampling method, were diagnosed as diabetes for at least one year. Data were collected through a Personal Information Form and Problem Areas in Diabetes (PAID) Scale. The data obtained were assessed in SPSS packet programme by using arithmetic average, percentage, variance analysis and t-test. Results: It was found out that the participant patients had serious problems in diabetes and their mean PAID score was 68.17 ± 16.16. The difference between patients BMI values and mean PAID scores was statistically significant (p < 0.05). Conclusion: It was established that the patients included in the study experienced a serious diabetes problem. In addition to the results, this study could be used to help develop nursing interventions.
Serotonin modifies the impact of sleep disturbance on suicidality in patients with acute coronary syndrome

Background This study investigated the associations of sleep disturbance and serum serotonin levels with suicidal ideation, and evaluated the potential modifying effects of serotonin on these associations in patients with the acute coronary syndrome (ACS). Methods In total, 969 ACS patients were recruited from a tertiary university hospital in Korea within 2 weeks of disease onset and evaluated in terms of sleep disturbance (using the Leeds Sleep Evaluation Questionnaire), serum serotonin levels, and suicidal ideation (using the “suicidal thoughts” item of the Montgomery–Åsberg Depression Rating Scale). Covariates included sociodemographics, depression, vascular risk factors, and disease severity. After 1 year, 711 patients were re-evaluated in terms of suicidal ideation. Logistic regression analysis was performed with adjustment for covariates. Results Sleep disturbance was significantly associated with suicidal ideation at baseline and follow-up. Serum serotonin showed no such association but modified the association of sleep disturbance with suicidal ideation such that it was significant only in the lower serum serotonin group, with significant interaction terms obtained after adjustment for relevant covariates. Conclusion Evaluating sleep disturbance and serum serotonin levels could improve the accuracy of clinical predictions of suicidal ideation in the acute and chronic phases of ACS.