Miracle-dz/UniFAR-FTUs huggingface dataset:
A Needs Analysis for Embedding Sustainable Finance Competences into Vocational Business Education in the Baltic Region

Aim. The aim of this article was to analyse relevant literature as well as financial services sector professionals’ expectations on future sustainability competence needs among vocational business graduates as part of an ideation process to design an open online course within the project “Sustainability in Finance – SuFi” (2020-2022). Methods. The online mixed-method survey was elaborated using Google Forms and Webropol and distributed via email among finance services industry professionals in Finland, Latvia, Estonia, and Aland Islands. In total, 221 responses were obtained. The qualitative and quantitative data analysis was performed using NVivo and SPSS. Results. Qualitative data analysis revealed that the conceptual knowledge of business graduates was the most frequently mentioned category, followed by procedural knowledge. Among the key competencies in sustainability, the most necessary was intra-personal competence, followed by inter-personal competence. Quantitative data analysis revealed that the top three sustainable finance competencies in demand within respondents’ organisations were: to understand relevant driving sustainable forces, to think and operate with a long-term perspective, and to communicate sustainable financial information in a meaningful way. Conclusion. In the Baltic Region’s finance sector, there is a need for a more holistic view for understanding the market as part of society as a whole and also the meaning of understanding long-term horizons. The competencies that financial services sector professionals found important for vocational business graduates in future work were used as an input for elaborating vocational business education study courses.
Optical and X-ray profiles in the REXCESS sample of galaxy clusters

Galaxy clusters' structure, dominated by dark matter, is traced by member galaxies in the optical and hot intra-cluster medium (ICM) in X-rays. We compare the radial distribution of these components and determine the mass-to-light ratio vs. system mass relation. We use 14 clusters from the REXCESS sample which is representative of clusters detected in X-ray surveys. Photometric observations with the Wide Field Imager on the 2.2m MPG/ESO telescope are used to determine the number density profiles of the galaxy distribution out to $r_{200}$. These are compared to electron density profiles of the ICM obtained using XMM-Newton, and dark matter profiles inferred from scaling relations and an NFW model. While red sequence galaxies trace the total matter profile, the blue galaxy distribution is much shallower. We see a deficit of faint galaxies in the central regions of massive and regular clusters, and strong suppression of bright and faint blue galaxies in the centres of cool-core clusters, attributable to ram pressure stripping of gas from blue galaxies in high density regions of ICM and disruption of faint galaxies due to galaxy interactions. We find a mass-to-light ratio vs. mass relation within $r_{200}$ of $\left(3.0\pm0.4\right) \times 10^2\, h\,\mathrm{M}_{\odot}\,\mathrm{L}_{\odot}^{-1}$ at $10^{15}\,\mathrm{M}_{\odot}$ with slope $0.16 \pm 0.14$, consistent with most previous results.
Cooperative Multiple Rigid Body Localization via Semidefinite Relaxation Using Range Measurements

This paper investigates the multiple rigid body localization (MRBL) problem using range measurements. To address the MRBL problem, we propose the cooperative approach by availing of not only the sensor-anchor but also the sensor-sensor measurements. The performance of cooperative MRBL is proven to be better than that of the noncooperative MRBL approach, in which only sensor-anchor measurement is used to locate the rigid bodies. Considering two different cases of 2-D and 3-D, we also propose a cooperative semidefinite programming (CSDP) solution to determine the rotation matrices and positions of multiple rigid bodies. At low noise levels, the performance of the CSDP solution is proven to sufficiently approach the Cramér-Rao Lower Bound (CRLB) accuracy due to its tight CSDP form. In addition, a set of determinant constraints is developed and included in the CSDP to improve the performance of the moderate noise levels. The simulated results show that the cooperative CSDP has significantly improved performance compared with the noncooperative approach. At moderate noise levels, the CSDP performs better than the CSDP-NDet, which does not include the determinant constraints. In the simulations, we also verify the conditions of the tight CSDP form. Besides, we also demonstrate that the CSDP solution outperforms the existing methods at varying noise levels.
Seamless and intuitive control of a powered prosthetic leg using deep neural network for transfemoral amputees

Powered prosthetic legs are becoming a promising option for amputee patients. However, developing safe, robust, and intuitive control strategies for powered legs remains one of the greatest challenges. Although a variety of control strategies have been proposed, creating and fine-tuning the system parameters is time-intensive and complicated when more activities need to be restored. In this study, we developed a deep neural network (DNN) model that facilitates seamless and intuitive gait generation and transitions across five ambulation modes: level-ground walking, ascending/descending ramps, and ascending/descending stairs. The combination of latent and time sequence features generated the desired impedance parameters within the ambulation modes and allowed seamless transitions between ambulation modes. The model was applied to the open-source bionic leg and tested on unilateral transfemoral users. It achieved the overall coefficient of determination of 0.72 with the state machine-based impedance parameters in the offline testing session. In addition, users were able to perform in-laboratory ambulation modes with an overall success rate of 96% during the online testing session. The results indicate that the DNN model is a promising candidate for subject-independent and tuning-free prosthetic leg control for transfemoral amputees.
Asymptotically limitless quantum energy teleportation via qudit probes

We propose a modified Quantum Energy Teleportation (QET) scheme that uses arbitrary-dimensional qudit probes and polynomially localized Hamiltonians. We find that with an appropriate scaling of parameters, the teleported energy scales with the teleportation distance more favourably than the non-local tails of the Hamiltonians. We show that by allowing the exchange of arbitrary amounts of information between agents and in a suitable limit, an arbitrarily large amount of energy can be teleported through a massless quantum field.
Effect of circuit training program on functional performance in children with hemiplegic cerebral palsy

Background: There is a plethora of literature with some conflicting findings on the effects of implementing strength and/or aerobic training or circuit training exercises to improve motor function of children with spastic hemiplegic cerebral palsy (CP). Circuit training is a form of body conditioning that involves endurance training, resistance training, high-intensity aerobics, and exercises performed in a circuit. Purpose: To investigate the effect of circuit training program on gross motor functions and functional capacity in children with hemiplegic CP. Methods: Thirty-two children with hemiplegic CP from both genders (8-12 years) with motor functional level of I and II based on Gross Motor Functional Classification System were assigned into two equal groups (control and study). The control group received a selected conventional physical therapy program for 60 minutes, including 35 minutes directed to lower limb. The study group received circuit training program for 35 minutes. The program for both groups was conducted twice per week for 12 successive weeks. Gross motor functions and functional capacity of both groups were evaluated by the Gross Motor Function Measure (GMFM) version 66 (Domains D and E) and the Six-Minute Walk Test (6MWT) respectively before as well as after the treatment period.
Rhetorical Organisation of Risk Management Reports by Malaysian Banks

: Risk management reports (henceforth, RMRs) are paramount to an organisation’s business processes and are used to inform stakeholders on the current risks experienced by a company. Some reports by companies, such as banks, are receiving more attention due to their importance to the public and current economy. While a plethora of studies have been conducted on RMRs in other disciplines, such as business, accountancy and ﬁnance, the same scenario is not apparent in language studies. Therefore, the present study intends to linguistically analyse the RMRs published by Malaysian commercial banks by examining their rhetorical organisation. In doing so, 40 RMRs published between 2016 and 2020 were analysed for their rhetorical moves and steps. The ﬁndings recognised ﬁve rhetorical moves in the RMRs, of which one was optional, one was conventional, while the rest were obligatory. The present study could assist readers of RMRs to better understand the structure of the reports.
Partial least squares discriminant analysis: taking the magic away

Partial least squares discriminant analysis (PLS‐DA) has been available for nearly 20 years yet is poorly understood by most users. By simple examples, it is shown graphically and algebraically that for two equal class sizes, PLS‐DA using one partial least squares (PLS) component provides equivalent classification results to Euclidean distance to centroids, and by using all nonzero components to linear discriminant analysis. Extensions where there are unequal class sizes and more than two classes are discussed including common pitfalls and dilemmas. Finally, the problems of overfitting and PLS scores plots are discussed. It is concluded that for classification purposes, PLS‐DA has no significant advantages over traditional procedures and is an algorithm full of dangers. It should not be viewed as a single integrated method but as step in a full classification procedure. However, despite these limitations, PLS‐DA can provide good insight into the causes of discrimination via weights and loadings, which gives it a unique role in exploratory data analysis, for example in metabolomics via visualisation of significant variables such as metabolites or spectroscopic peaks. Copyright © 2014 John Wiley & Sons, Ltd.
Scaling properties of signals as origin of 1/f noise

There are several mathematical models yielding 1/f noise. For example, a 1/f spectrum can be obtained from a stochastic sequence of pulses with a power-law distribution of pulse durations or from nonlinear stochastic differential equations. We show that a couple of seemingly different models exhibiting a 1/f spectrum are due to similar scaling properties of the signals. In addition, we demonstrate a connection between signals with the power-law behavior of the power spectral density generated by the nonlinear stochastic differential equations and modeled by a sequence of random different pulses. An approximation of solutions of the nonlinear stochastic differential equations by the sequence of pulses correctly reproduces the power-law parts of the probability density function and of the power spectral density. This connection provides further insights into the origin of 1/f noise.
Is it better to communicate product information abstractly or concretely? The role of consumer product expertise and shopping-stage mindset

Purpose This paper aims to investigate the effect of product-related description abstractness/concreteness on perceived trustworthiness and the role of consumer product expertise and shopping-stage mindset in the persuasiveness of abstract vs concrete product descriptions. Design/methodology/approach Two online experiments were conducted: Study 1 (description abstractness – manipulated between-subject; consumer product expertise, perceived trustworthiness, purchase intent – measured), Study 2 (consumer shopping-stage mindset – manipulated between-subject; description abstractness – manipulated within-subject; consumer product expertise, perceived trustworthiness, abstract/concrete description preference – measured). Findings The negative effect of the abstractness (abstract descriptions vs the ones supplemented with relevant product details) on description trustworthiness was evidenced in Study 1. Trustworthiness was positively related to purchase intent, especially for high product expertise. Study 2 replicated the effect of product description abstractness on its trustworthiness in terms of two other forms of abstractness (abstract descriptions vs the ones supplemented with irrelevant product details and product benefits vs attributes). The goal-oriented (vs comparative) mindset had a positive effect on the benefit (vs attribute) description preference, especially for high product expertise. Practical implications For marketers, the results suggest the positive consequences of presenting concrete information on product attributes and the conditions enhancing the effectiveness of presenting product benefits. Originality/value The paper integrates the existing views on consumer response to abstract vs concrete information (lexical abstractness/concreteness, means-end chain theory) and links them to consumer product expertise and shopping-stage mindset.
Short- and Long-Term Effect of Cochlear Implantation on Disabling Tinnitus in Single-Sided Deafness Patients: A Systematic Review

Patients with single-sided deafness can experience an ipsilateral disabling tinnitus that has a major impact on individuals’ social communication and quality of life. Cochlear implants appear to be superior to conventional treatments to alleviate tinnitus in single-sided deafness. We conducted a systematic review to evaluate the effectiveness of cochlear implants in single-sided deafness with disabling tinnitus when conventional treatments fail to alleviate tinnitus (PROSPERO ID: CRD42022353292). All published studies in PubMed/MEDLINE and SCOPUS databases until December 2021 were included. A total of 474 records were retrieved, 31 studies were included and were divided into two categories according to whether tinnitus was assessed as a primary complaint or not. In all studies, cochlear implantation, evaluated using subjective validated tools, succeeded in reducing tinnitus significantly. Objective evaluation tools were less likely to be used but showed similar results. A short-(3 months) and long-(up to 72 months) term tinnitus suppression was reported. When the cochlear implant is disactivated, complete residual tinnitus inhibition was reported to persist up to 24 h. The results followed a similar pattern in studies where tinnitus was assesed as a primary complaint or not. In conclusion, the present review confirmed the effectiveness of cochlear implantation in sustainably reducing disabling tinnitus in single-sided deafness patients.
Grids of massive stars with high mass loss rates. V. From 12 to 120 M sun _ at Z=0.001, 0.004, 0.008, 0.020 and 0.040

Most outputs of massive star evolution critically depend on the mass loss rates. In order to broaden the comparison basis and to illustrate the effects of different mass loss rates, we have computed new sets of models, with initial masses between 12 and 120 M ○. , and metallicities, Z, between 0.001 and 0.040, with a mass loss rate increased by a factor of two during the phases when the stellar winds are believed to be essentially driven by the radiation pressure. A moderate core-overshooting and the new radiative opacities from Iglesias et al. (1992) and Kurucz (1991) were taken into account. These models complete the homogeneous and extended theoretical database formed by the previous grids of this series, computed by Schaller et al. (1992) for Z = 0.020 and Z = 0.001, by Schaerer et al. (1992, 1993) for Z = 0.008 and Z = 0.040 and by Charbonnel et al. (1993) for Z = 0.004
Feasibility and acceptability of paramedic-initiated health education for rural-dwelling older people

Background: In rural and regional areas, older Australians have poorer health outcomes and higher rates of potentially preventable hospital admissions than their metropolitan counterparts. Paramedics may be uniquely placed to improve health outcomes of rural-dwelling older adults through involvement in primary and preventive healthcare, health promotion and health education. However, the feasibility and acceptability of this remains unexplored. Aim: To investigate the utility, feasibility and acceptability of paramedic involvement in health education initiatives aimed at rural-dwelling older people. Methods: Semi-structured telephone interviews were conducted with key stakeholders between July and September 2021. Interviews were transcribed verbatim and reflexive thematic analysis was undertaken. Findings: Participants (older people and their carers, n = 3; health service representatives, n = 4; and ambulance service representatives, n = 3) linked acceptability to the position of trust and visibility paramedics held within the community. The coverage provided by ambulance services in rural and regional areas, and the enhanced skills and collaborative relationships that rural paramedics develop, were seen as enabling factors to expanded roles. Conclusion: Key stakeholders’ perspectives on the role of paramedics in health education for rural-dwelling older people highlighted the trust placed in paramedics. Meeting identified needs without competing with established health initiatives was seen as important with respect to paramedic engagement in broader primary health care opportunities.
A Framework for Modeling and Detecting Security Vulnerabilities in Human-Machine Pair Programming

To detect and mitigate security vulnerabilities early in the coding phase is an important strategy for secure software development. Existing solutions typically focus on finding certain vulnerabilities in certain computer systems without giving a systematic way of handling different types of vulnerabilities. In this paper, we present a framework for systematically modeling and detecting potential security vulnerabilities during the construction of programs using a particular programming paradigm known as Human-Machine Pair Programming. The framework provides designers with a general way of modeling a class of attacks in detail, and shows how programmers can discover and fix a vulnerability in a timely manner. Specifically, our framework advocates three primary steps: (1) generating an attack tree to model a given security threat, (2) constructing vulnerability-matching patterns based on the result of the attack tree analysis, and (3) detecting corresponding vulnerabilities based on the patterns during the program construction. We also present a case study to demonstrate how it works in practice.
Coral reef erosion: In situ measurement on different dead coral substrates on a Caribbean reef

Widespread mortality of reef‐building coral substantially reduces the capacity for reef growth and makes available extensive bare substrate areas that in the absence of coral recovery will be eroded by a variety of external and internal bioeroders. Here, we analyze rates of external erosion on six different types of carbonate substrates under in situ conditions over a 2‐yr period. We measure vertical changes in the surface elevation of four species of recently dead corals afflicted by the stony coral tissue loss disease outbreak, and other two common types of calcareous substrates, long‐dead Acropora palmata fronds and bare calcareous hardground, as a reference for “bare” carbonate substrates that occur widely in Caribbean reefs. The surface of the recently dead colonies experienced significant erosion after 2 yr of exposure, but at different rates depending on the species. Dead skeletons of Orbicella faveolata experienced the greatest rates of erosion after 2 yr at −9.9 mm (±3.2 mm); Dendrogyra cylindrus eroded −3.6 mm (±2.8 mm), Pseudodiploria strigosa −3.3 mm (±3.7 mm), and Siderastrea siderea −1.2 mm (±0.9 mm), while long‐dead substrates remained unchanged. There was significant erosion in the presence of parrotfish grazing scars and of short algal turf mats, while crustose coralline algae cover and sand‐and‐high turf mats were not associated with significant changes in elevation, arguably indicating a protective effect. This study provides new insights into how and at what rates external carbonate erosion is shaping contemporary reefs at fine spatial and temporal scales.
Update of Indicator PCB Levels in Food in Southern Italy: Assessment of the Dietary Exposure for Adult and Elderly Population

The levels of non-dioxin-like PCB indicators (iPCBs 28, 52, 101, 138, 153, and 180) were determined in food samples (seafood, meat and processed meat, milk and dairy products, hen eggs, olive oil, and other fats) to evaluate the exposure of adult and elderly population. iPCB levels in samples were in the following order: fishery products > meat and processed meat > milk and dairy products > olive oil and other fats. None of the samples had concentrations above the maximum permissible limits for human consumption established by the European Union legislation, except for salami samples. The dietary intake for the total population was 12.33 ng·kg−1 bw·d−1, while depending on the sex/age groups, exposure was estimated between 9.60 and 12.11 ng·kg−1 bw·d−1, with seafood being the major contributor. The exposure scenario indicates that further efforts must still be carried out to protect the consumer from these harmful chemicals.
Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models, with Applications in Health Economics

Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often the main target of applied microeconometric analysis. In the specific context of probit models, estimation of partial effects involving outcome probabilities will often be of interest. Such estimation is straightforward in univariate models, and Greene, 1996, 1998, has extended these results to cover the case of quadrant probability marginal effects in bivariate probit models. The first purpose of this paper is to extend these results to encompass the general ! "! # multivariate probit (MVP) context for arbitrary orthant probabilities. It is suggested that such partial effects are broadly useful in situations wherein multivariate outcomes are of concern. The paper derives the general result on orthant probability partial effects, which contains Greene's bivariate result as a special case. These results are then extended to models that condition on subvectors of y, to count data structures that derive from the probability structure of y, to multivariate ordered probit data structures, and to the multinomial probit model whose marginal effects turn out to be a special case of those of the multivariate probit model. Numerical simulations suggest that use of the analytical formulae versus fully numerical