Miracle-dz/UniFAR-FTUs huggingface dataset:
REGULATION AND EMPLOYMENT RELATIONS IN AGED CARE

As Australia's population ages, the provision of aged care is gaining economic, social and political significance. The increasing importance of aged care is reflected in a number of recent government inquiries into the sector and some notable research into its regulation. However, academic investigation into employment relations in the residential aged care sector has been scarce. Even less attention has been paid to the employment relations strategies of residential aged care providers and the forces and pressures which shape them. This article seeks to address that gap by reporting on research which identifies those forces and pressures on a specific provider in New South Wales residential aged care. It does so utilising regulation theory to argue that despite significant changes to the formal industrial relations framework, most recently through Work Choices, labour regulation is not the most significant factor shaping the employment relations decisions of employers in residential aged care. Labour law represents but one element in a diverse and intersecting web of regulations. Combined, these create the ‘regulatory space’ within which aged care providers make decisions about employment relations.
Avaliação de empresas start-up por Opções Reais: o caso do setor de biotecnologia

In this study a biotech start-up company was evaluated using the Real Options method. The main objective was to verify whether the Real Options is a better pricing method for tech or biotech companies that operate in an uncertain enviroment. In order to determine the undervaluation resulting from the Discounted Cash Flow method without taking the Real Options into account the case of BioNatural, a start-up biotech company incubated at the BioRio Biotecnology Park, was analized. The results indicate a 16% undervaluation, approximately, and they indicate that the real options approach may be more appropriate to evaluate projects subject to extreme uncertainty since it can determine a value that is not measured by traditional valuation project methods.
Programming Human-Robot Interactions for Teaching Robotics within a Collaborative Learning Open Space: Robots Playing Capture the Flag Game: Programming Human-Robot Interactions within a Collaborative Learning Open Space

Game-based competitive or cooperative robotics activities constitute an effective approach to exploit the child-robot interaction perspective. However, in most game-based robotics activities robots act autonomously to achieve the goal. In this work, we aim to promote the child-robot interaction aspect through a multiplayer game where one team of robots and humans collaborates to compete with another team of humans and cobots. We describe the design of an open space that will allow children to gain access, locally and remotely, and program robotic agents to play the traditional “Capture the Flag” game in a physical stadium-arena. Through this space, we intend to teach robotics, while programming human-robot interfaces, within a computer-supported game-based learning environment. We give insights on the initial design of such an open space and the educational benefits of its use in the comprehension of abstract computational and STEM concepts.
The role of artificial intelligence in disinformation

Abstract Artificial intelligence (AI) systems are playing an overarching role in the disinformation phenomenon our world is currently facing. Such systems boost the problem not only by increasing opportunities to create realistic AI-generated fake content, but also, and essentially, by facilitating the dissemination of disinformation to a targeted audience and at scale by malicious stakeholders. This situation entails multiple ethical and human rights concerns, in particular regarding human dignity, autonomy, democracy, and peace. In reaction, other AI systems are developed to detect and moderate disinformation online. Such systems do not escape from ethical and human rights concerns either, especially regarding freedom of expression and information. Having originally started with ascending co-regulation, the European Union (EU) is now heading toward descending co-regulation of the phenomenon. In particular, the Digital Services Act proposal provides for transparency obligations and external audit for very large online platforms’ recommender systems and content moderation. While with this proposal, the Commission focusses on the regulation of content considered as problematic, the EU Parliament and the EU Council call for enhancing access to trustworthy content. In light of our study, we stress that the disinformation problem is mainly caused by the business model of the web that is based on advertising revenues, and that adapting this model would reduce the problem considerably. We also observe that while AI systems are inappropriate to moderate disinformation content online, and even to detect such content, they may be more appropriate to counter the manipulation of the digital ecosystem.
Online research group supervision: Structure, support and community

ABSTRACT This article focuses on online research group supervision in an online doctoral programme. The analysis of interviews with 10 graduates supervised online in research groups of 4–6 students during the dissertation process highlighted how supervisors structured and supported individual and group research development and progress, leading to perceived sense of online community. The strategies that supervisors and students used within the groups, challenges faced, and implications for online supervision are presented.
TikTok and public health: a proposed research agenda

Correspondence to Mr Marco Zenone; marco. zenone@ lshtm. ac. uk © Author(s) (or their employer(s)) 2021. Reuse permitted under CC BYNC. No commercial reuse. See rights and permissions. Published by BMJ. INTRODUCTION TikTok is a short video sharing social media platform that has grown rapidly since its launch, amassing over 1 billion monthly global users as of September 2021. Users on TikTok create and engage with algorithmsuggested content related to their interests on a variety of subjects, including healthrelated or implicated topics. The global growth of TikTok, while offering an engaging experience for users and approach to connecting to diverse people, is accompanied by concerns, such as the quality of health advice offered in videos and sensitive content. In this commentary, we argue that public health is served by paying urgent attention to the potential healthrelated implications and opportunities of TikTok and suggest a research agenda to inform decisionmakers, health providers, researchers and the public.
Statistical representativeness of ballast water sampling

The International Maritime Organization’s (IMO’s) G2 guideline (Guidelines for ballast water sampling) clearly states that ballast water samples are required to be representative of the whole ballast water discharged. Enforcement and implementation of the ballast water convention largely depend on defendable case based on evidence that a ship entering territorial waters has not complied with regulations. The statistical representativeness of ballast water samples has been discussed in this study with additional emphasis on practicality of the sampling procedure. The mathematical formula for determining a sample size for a proportion from a finite population has been used to identify the minimum number of samples which could be considered as statistically representative of the ship’s ballast water. Results clearly indicate that a large amount of ballast water, the 16 per cent of ballast water (8000 m3) for a ship discharging 50 000 m3 of ballast water, must be sampled to achieve certain level of confidence which could be translated as a true representation of the ship’s ballast water discharged and potentially used in any further legal actions by states or ship operators.
Detection improving techniques for Hough detector in presence of randomly arriving impulse interference

In this paper is researched the effectiveness of Hough detector with different types of Constant False Alarm Rate (CFAR) processors working in the presence of randomly arriving impulse interference. We have studied the detection probability and the average decision threshold of a Hough detector with these types of CFAR processors. The experimental results are obtained by numerical analysis. They reveal that the use of Hough detector allows reducing drastically detectability losses in comparison to the conventional CFAR detectors and that it is effective for small signalto- noise ratios. The research work is performed in MATLAB computational environment. The obtained analytical results for Hough detector can be used in both, radar and communication receiver networks.
A multi-class gene classifier for SARS-CoV-2 variants based on convolutional neural network

Surveillance of circulating variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is of great importance in controlling the coronavirus disease 2019 (COVID-19) pandemic. We propose an alignment-free in silico approach for classifying SARS-CoV-2 variants based on their genomic sequences. A deep learning model was constructed utilizing a stacked 1-D convolutional neural network and multilayer perceptron (MLP). The pre-processed genomic sequencing data of the four SARS-CoV-2 variants were first fed to three stacked convolution-pooling nets to extract local linkage patterns in the sequences. Then a 2-layer MLP was used to compute the correlations between the input and output. Finally, a logistic regression model transformed the output and returned the probability values. Learning curves and stratified 10-fold cross-validation showed that the proposed classifier enables robust variant classification. External validation of the classifier showed an accuracy of 0.9962, precision of 0.9963, recall of 0.9963 and F1 score of 0.9962, outperforming other machine learning methods, including logistic regression, K-nearest neighbor, support vector machine, and random forest. By comparing our model with an MLP model without the convolution-pooling network, we demonstrate the essential role of convolution in extracting viral variant features. Thus, our results indicate that the proposed convolution-based multi-class gene classifier is efficient for the variant classification of SARS-CoV-2.
Using Light-Sheet Microscopy to Study Spontaneous Activity in the Developing Lateral-Line System

Hair cells are the sensory receptors in the auditory and vestibular systems of all vertebrates, and in the lateral-line system of aquatic vertebrates. During development, spontaneous activity in hair cells shapes the formation of these sensory systems. In auditory hair cells of mice, coordinated waves of spontaneous activity can be triggered by concomitant activity in nearby supporting cells. But in mammals, developing auditory and vestibular hair cells can also autonomously generate spontaneous events independent of supporting cell activity. To date, significant progress has been made studying spontaneous activity in the auditory and vestibular systems of mammals, in isolated cultures. The purpose of this work is to explore the zebrafish lateral-line system as a model to study and understand spontaneous activity in vivo. Our work applies genetically encoded calcium indicators along with light-sheet fluorescence microscopy to visualize spontaneous calcium activity in the developing lateral-line system. Consistent with our previous work, we show that spontaneous calcium activity is present in developing lateral-line hair cells. We now show that supporting cells that surround hair cells, and cholinergic efferent terminals that directly contact hair cells are also spontaneously active. Using two-color functional imaging we demonstrate that spontaneous activity in hair cells does not correlate with activity in either supporting cells or cholinergic terminals. We find that during lateral-line development, hair cells autonomously generate spontaneous events. Using localized calcium indicators, we show that within hair cells, spontaneous calcium activity occurs in two distinct domains–the mechanosensory bundle and the presynapse. Further, spontaneous activity in the mechanosensory bundle ultimately drives spontaneous calcium influx at the presynapse. Comprehensively, our results indicate that in developing lateral-line hair cells, autonomously generated spontaneous activity originates with spontaneous mechanosensory events. Overall, with robust spontaneous activity three different cell types, the developing lateral line is a rich model to study these activities in an intact sensory organ. Future work studying this model may further our understanding of these activities and their role in sensory system formation, function and regeneration.
Real-Time and Remote MCMC Trace Inspection with Beastiary

Bayesian phylogenetic methods have gained substantial popularity in the last decade, due to their ability to incorporate independent information and fit complex models. Most Bayesian implementations rely on Markov chain Monte Carlo (MCMC), which in turn requires careful interpretation of the output to assess the statistical validity of any resulting inferences. Here we describe Beastiary, a package for real-time and remote inspection of log flies generated by MCMC analysis commonly utilised in Bayesian phylogenetic analysis. Beastiary is an easily deployed web-sever that can be used to summarise and visualise the output of many popular software packages including BEAST, BEAST2, RevBayes, and MrBayes. We describe the overall design and implementation of Beastiary and some typical use cases, with a particular focus on the capability of monitoring analyses from remote servers.
TFAP2 paralogs pioneer chromatin access for MITF and directly inhibit genes associated with cell migration

Transcription factors in the Activating-enhancer-binding Protein 2 (TFAP2) family redundantly regulate gene expression in melanocytes and melanoma. Previous ChIP-seq experiments indicate that TFAP2A and Microphthalmia-associated Transcription Factor (MITF), a master regulator in these cell types, co-activate enhancers of genes promoting pigmentation. Evidence that TFAP2 paralogs can serve as pioneer factors supports the possibility that TFAP2 facilitates MITF binding at co-bound enhancers, although this model has not been tested. In addition, while MITF and TFAP2 paralogs both appear to repress genes that promote invasion, whether they do so by co-repressing enhancers is unknown. To address these questions we evaluated gene expression, chromatin accessibility, TFAP2A and MITF binding, and chromatin marks characteristic of active enhancers in SK-MEL-28 melanoma cells that were wild-type or deleted of the two TFAP2 paralogs with highest expression, TFAP2A and TFAP2C (i.e., TFAP2-KO cells). Integrated analyses revealed distinct subsets of enhancers bound by TFAP2A in WT cells that are inactivated and activated, respectively, in TFAP2-KO cells. At enhancers bound by both MITF and TFAP2A, MITF is generally lost in TFAP2A/TFAP2C double mutants, but not vice versa, implying TFAP2 pioneers chromatin access for MITF. There is a strong correlation between the sets of genes inhibited by MITF and TFAP2, although we did not find evidence that TFAP2 and MITF inhibit enhancers cooperatively. The findings imply that MITF and TFAP2 paralogs cooperatively affect the melanoma phenotype.
Numerical analysis of an optical coupler composed of three‐channel waveguides with different core sizes

An optical coupler composed of three-channel waveguides with different core sizes is analyzed numerically. Dispersion relations and field distributions are presented for the lowest three modes in the coupler. It is shown that the geometric parameter of the coupler can be optimized so as to satisfy the condition for a maximum power transfer efficiency.
Towards an Up to Date list of Design Guidelines for Elderly Users

The number of elderly people is projected to increase notably around the globe in the coming decades. At the same time, the speed of technology adoption by elderly is moving slowly, while technology around both web platforms and touchscreens is evolving fast and gaining in popularity quickly. Being able to use these technologies is important to prevent elderly people from missing out on certain parts of society. Design guidelines play an important role in this. However, it is important to ensure that these guidelines are up to date, as what might have been and important guideline yesterday can be redundant today or needs an update. Also guidelines dealing with specific issues of these new technologies might be missing. To come to an up to date list of design guidelines for elderly users, we collected existing, both web and touchscreen device guidelines; merged them together into a combined list of checks & guidelines, and performed an expert evaluation to investigate their relevance for the development of web and touchscreen based applications, with a special focus on the needs of elderly users. In this paper, We discus how we compile the list of guidelines and present the results of the expert evaluation. We also discussed the results and point to future work needed in this context.
The Digital Transformation of Card-Based Design Toolkits: From Tiles to DigiTiles

Card-based design toolkits are growing in popularity to support more inclusive and creative design processes. They are also adopted in educational contexts to promote rich and playful learning experiences. Most toolkits are used in co-located workshops where the design process unfolds in the context of the multi-faceted face-to-face interaction among participants. However, recent restrictions have set strong limitations to co-located workshops and forced many to think about digital alternatives. This paper describes DigiTiles, the digital transformation of Tiles, a Card-Based Design Toolkit for augmented objects in the context of the UN Sustainable Development Goals. This transformation is building on an existing commercial shared whiteboard tool and evaluated through 5 design workshops involving 16 participants. The results contribute to increased knowledge about the transformation of card-based design tools from the physical to the digital. The findings from the evaluation suggest that DigiTiles was fun to use and that the prototype supported creativity in digital idea generation workshops. However, some concerns emerged in terms of cooperation within the team. The paper reflects on this experience identifying areas for further research.
A general technique for derivation of average current mode control laws for single-phase power-factor-correction circuits without input voltage sensing

This paper presents a general technique to derive average current mode control (CMC) laws without input voltage sensing to achieve high power factor for single-phase topologies operating in continuous conduction mode (CCM). The control laws are derived based on the steady-state input-output voltage relationships and the CCM large-signal averaged pulsewidth modulation (PWM)-switch model. Using this methodology, average CMC laws with linear PWM waveforms are discovered for commonly used single-phase power stage topologies such as boost, flyback, SEPIC, and buck/boost. Conventional three-loop-controlled average CMC converters can now be controlled with a two-loop architecture. Hardware results for a boost power factor correction (PFC) and simulation results for flyback, SEPIC, and buck/boost topologies verify operation. The small-signal models of the current loop and voltage loop are derived for the boost topology and are used for control loop design. Input current harmonic distortion measurements demonstrate improved performance compared to the conventional three-loop control technique.
7-14 GHz optical phase-locked loop (OPLL) source module for use in coherent optical beamforming applications

The first reported optical phase-locked loop module has been designed and constructed for use in coherent optical beamforming systems. It has been implemented using micro-optics, wideband feedback electronics and custom diode lasers with a suitable FM response. The module has an LO tuning range of 7-14 GHz and a total phase error variance of 0.05 rad/sup 2/.
Research Progress on Thermal Conductivity of Two-dimensional IV A Materials Based on Molecular Dynamics Simulation

This paper introduces the research process of using molecular dynamics theory to simulate the thermal conductivity of two-dimensional IV A materials represented by graphene. The major works include using Materials Studio to construct the material model, importing the model into Lammps for simulation calculation, and using non-equilibrium molecular dynamics (NEMD) to calculate the thermal conductivity. The relationship between thermal conductivity and model size of several two-dimensional IV A materials is summarized. With the increase of size, the thermal conductivity increases. Moreover, the thermal conductivity increases approximately linearly with the increase of length and nonlinear with the increase of width, which shows that the first derivative of the function of thermal conductivity and width decreases gradually with the increase of width, but it is always positive. The relationship between thermal conductivity and temperature is summarized as well. The thermal conductivity increases with the increase of temperature, and the thermal conductivity has the maximum value with respect to the first derivative of the initial temperature around 330K, but some literatures have given the opposite experimental results: the thermal conductivity decreases with the increase of temperature. The molecular dynamics simulation process and influencing factors of thermal conductivity of two-dimensional IV A materials that are studied in this paper play a certain role in the field of low-dimensional thermal properties.
Co‐ordination of inspections for a group of machines

Models inspection co‐ordination of a group of machines using a non‐linear integer program. The objective of the model is to minimize the expected total cost per unit time, which is a function of a major inspection cost, minor inspection cost and the cost of failure, subject to the restriction that the inspection interval of each machine is an integer multiple of a basic time interval. Proposes a solution procedure to solve the inspection co‐ordination problem. Uses a numerical example to illustrate the model and its proposed solution method.
Inelastic Deformation Ratios for Design and Evaluation of Structures: Single-Degree-of- Freedom Bilinear Systems

The relationship between the peak deformations of inelastic and corresponding linear single-degree-of-freedom (SDF) systems is investigated. Presented are the median of the inelastic deformation ratio for 214 ground motions organized into 11 ensembles of ground motions, representing large or small earthquake magnitude and distance, and National Earthquake Hazards Reduction Program (NEHRP) site classes B, C, and D; near-fault ground motions are also included. Two sets of results are presented for bilinear nondegrading systems over the complete range of elastic vibration period, Tn: Cμ for systems with known ductility factor, μ, and CR for systems with known yield-strength reduction factor, Ry. The influence of postyield stiffness on the inelastic deformation ratios Cμ and CR is investigated comprehensively. All data are interpreted in the context of acceleration-sensitive, velocity-sensitive, and displacement-sensitive regions of the spectrum for broad applications. The median Cμ versus Tn and CR versus Tn.
SHOULD LITHIUM REMAIN AS THE GOLD STANDARD AND FIRST-LINE TREATMENT FOR PATIENTS WITH BIPOLAR DISORDER ?

Most guidelines around the world recommends lithium as the first line medication in the treatment of bipolar disorder. Lithium has numerous side effects, and with the introduction of newer mood stabiliser and antipsychotics which are also efficacious, should this recommendation remain? In the light of newer published evidence, the role of lithium as the gold standard and first line treatment of bipolar disorder is reviewed.