Miracle-dz/UniFAR-FTUs huggingface dataset:
Projection properties of the L 2 optimal reduced order model

The paper investigates the optimal L 2 reduced order model in the context of reduced order models obtained by projection. It deals first with the general case of such systems and shows that the existence and uniqueness of a projection that relates two models of different orders can be inferred from the Kronecker canonical form of a certain linear pencil. Combining the L 2 optimality conditions into that framework gives a different point of view on the optimal reduced order model. It is shown that the zeros of the optimal approximation error transfer function are the mirror image of the reduced model poles with the same multiplicity in non-square systems, and doubled multiplicity in square systems. The latter case enhances an existing result, for SISO systems, that the multiplicity of the error zeros exceeds that of the optimal reduced model poles by one. It is also shown that the optimal projection, which is obtained in some solutions of the problem, is discontinuous at the optimal solution if the reduced order model has at least one real pole, and that in some cases the optimal L 2 reduced order model resides on the boundary of the set of models that can be obtained by projection.
Effects of receiver parameters on the wireless power transfer system via magnetic resonance coupling

ABSTRACT The wireless system with four-coil resonators is a popular configuration for mid-range wireless power transfer via magnetic resonance coupling. It has broad range of applications. But it is difficult to make the parameters of receiver (including receiving coil and load coil) to be consistent with the parameters of transmitter (including driving coil and transmitting coil) in different application environments. The parameters of receiving coil and load coil have strong impacts on efficiency of the wireless power transfer system. In this work, a comprehensive study on effects of receiver (including receiving coil and load coil) parameters, such as coils radius, wire radius, number of turns and length of coil, is conducted. Some important observations on the effects of the receiver parameters are drawn based on theoretical studies and PSPICE simulation, which are also verified by experiments. It is shown that the radius of receiver has more significant impacts on the power transfer efficiency than other parameters.
Ceriantheomorphe brasiliensis (Cnidaria; Ceriantharia): how does it behave?

ABSTRACT Behaviour research on Cnidaria, particularly Ceriantharia (Cnidaria, Anthozoa), is generally uncommon. Although ceriantharians or tube-dwelling anemones are known to build soft tubes, their tube-building behaviours remain unknown. In this study, we describe for the first time the tube-building behaviour of Ceriantheomorphe brasiliensis and detail its behaviour in natural habitat, including illustrations and videos of live specimens. Our results showed that C. brasiliensis can build more than one tube throughout its life, the tubes are usually ‘L-shaped’, longer than the polyp, and vertically oriented when built in deeper substrates, but horizontally oriented when built in shallower substrates. During tube construction, the polyp does not feed or use its tentacles to catch or select specific sediment particle sizes for tube construction. Given the vertical orientation of the tube, it is possible that the tube-building behaviour of C. brasiliensis differs from that of other species. Although this study only included a single specimen, the behaviours observed were constantly repeated by the animal in every test, from the first trial to the last, suggesting that they can occur on occasion. Furthermore, this research contains useful information that may guide future studies of tube-building behaviour in Ceriantharia which are, currently, non-existent.
Byzantine Agents’ Detection in Distributed Nash Equilibrium Seeking Algorithms Using an Adaptive Event-Triggered Scheme

In this article, a resilient, adaptive event-triggered distributed Nash equilibrium seeking algorithm is investigated for a class of multimicrogrid systems. Since the strategy of each microgrid affects others’ costs through total generation cost, such interaction among microgrids is modeled as a noncooperative game. To reduce unnecessary signal transmission among the aggregators, an adaptive algorithm, where threshold parameters are adjusted based on the behavior of the estimated signals in the last two iterations, is proposed. It is observed that when false data is injected into an agent, its estimated signals begin to diverge from the equilibrium point, and as a result, the threshold value becomes increasing. Furthermore, the misbehaving agents are identified and isolated using a reputation-based mechanism and are allowed to rejoin the network when they behave normally again. To deal with arbitrary behavior of users, receding horizon scheme of predictive control is used. Finally, a set of simulation results is presented to evaluate the effectiveness of the suggested algorithm.
‘I think this is where this lovely word “sustainability” comes in’: Fruit and vegetable growers' narratives concerning the regulation of environmental water use for food production

Abstract This article concerns UK commercial fruit and vegetable growers’ narratives regarding the sustainability of water use for food production. In it we explore their perspectives on efforts by regulators to limit agricultural withdrawals of water from the natural environment in line with EU Water Framework Directive objectives, alongside their views on retailer sustainability commitments. Discourse analysis is used to investigate how the growers contested restrictive regulation, constructed their identities, portrayed other supply chain stakeholders, and conveyed their social relations with them. Using Erving Goffman's theory of frontstage and backstage performances, the implications for the growers’ water management decisions and their internalisation of sustainability agendas for water are examined. Whilst the growers gave accounts of purposely misrepresenting their water withdrawal practices and their discourse illustrated significant polarisation between environmental and agricultural interests, their underlying commitment to environmental sustainability was ambivalent, with both anti and pro‐environmental attitudes expressed. The growers also frequently gave critiques of superficial sustainability in fresh produce supply chains. We argue that, given contemporary shifting definitions of agricultural identities, settings in which their construction is negotiated can provide windows of opportunity for conventional growers to engage in genuine pro‐environmental performances that may deepen their assimilation of environmental goals and commitment to sustainable water use.
Early Attack Detection for Securing GOOSE Network Traffic

The requirements for the security of the network communication in critical infrastructures have been more focused on the availability of the data rather than the integrity and the confidentiality. The availability of communication in IEC 61850 substations can be hindered by Generic Object Oriented Substation Event (GOOSE) poisoning attacks that might result in threats such as Denial of Service (DoS) or flooding attacks. In order to accurately detect similar attacks, a novel method for the Early Detection of Attacks for GOOSE Network Traffic (EDA4GNeT) is developed in the present work. The EDA4GNeT method considers the dynamic behavior of network traffic in electrical substations. A mathematical modeling of GOOSE network traffic is adopted for the anomaly detection based on statistical hypothesis testing. The developed mathematical model of the communication traffic can also support the management of the network architecture in IEC 61850 substations based on appropriate performance studies. To test the novel anomaly detection method and compare the obtained results with related works found in the literature, a simulation of a DoS attack against a ${66/11}{\mathrm{ kV}}$ substation with several experiments is used as a case study.
Settlement and post-settlement survival of Orbicella annularis and Orbicella faveolata (Scleractinia: Merulinidae) on substrates with coatings

Introduction: One of the main bottlenecks in restoration projects based on sexual reproduction is post-settlement survival, mainly due to competition for substrate with fleshy algae and predation. Therefore, substrates of different shapes and materials have been created and tested, seeking to optimize these processes with attractive surfaces for the larvae and structures where the recruits are protected from predation, and competition is reduced. Objective: To improve settlement and post-settlement survival of two important Caribbean reef-building corals, using different coatings on substrates. Methods: To determine whether substrate coatings properties are favourable to larval settlement in Orbicella annularis, and O. faveolata, collected in Puerto Morelos, Mexican Caribbean, we evaluated their settlement for three weeks on six coatings with a combination of properties. Each coating was designed to provide a combination of two out of three properties: 1) water repellence (hydrophobicity), 2) phosphorescence-based colour, and 3) mineral-enriched surface chemistry. In a separate experiment larvae settlement was tested using coatings with a single property. Finally, we determined the post-settlement survival of O. annularis and O. faveolata on the different coatings for seven weeks. Results: The combination of high hydrophobicity and light blue phosphorescent microparticles and high hydrophobicity and red-orange phosphorescent microparticles resulted in a higher settlement of O. annularis and O. faveolata when compared with other coatings (30.8 - 66.7 % higher). No significant differences were found in the number of larval settled when the water-repellence and the phosphorescence-based were evaluated independently. Post-settlement survival time on substrates was low, with a maximum of 34 days after settlement for O. annularis and 42 days for O. faveolata. Conclusions: In terms of the larval settlement, the combination of the coatings properties appears to play an essential role in the choice of microhabitat for both O. annularis and O. faveolata. But individually these properties did not generate an advantage in the larval settlement. Moreover, some chemical components associated with the coatings may be counterproductive to the survival of the polyps over time.
Distributed computation of the critical path from execution traces

Due to the ever‐increasing number of computer nodes in distributed systems, efficient and effective tools have become crucial for their analysis. Although several efficient methods have been proposed to monitor and profile distributed systems, tracing remains the most effective solution for in‐depth system analysis. Tracing is the act of collecting a trace, which is a sequence of low‐level events generated by the kernel or the userspace. After data collection, the most important part is the event analysis. The paradigm and choice of graphs determine the ability of the user to detect abnormal behaviors and identify their root cause. Although tracing is a highly effective approach to analyzing complex systems, the scalability of the current analysis tools is limited. As a consequence, tracing is often impractical for large distributed systems. This paper identifies the shortcomings of the current approaches, most notably the critical path computation and the trace file transfer between nodes. Then, this paper proposes new solutions to these drawbacks, most notably a distributed algorithm to compute the critical path, that does not aggregate all traces in a single node, and an efficient architecture to perform tracing on distributed systems. These new solutions are made publically available.
Adaptive Learning Security Control for Networked Switched Systems Subject to Resource Constraints and Attacks

We employ the adaptive dynamic programming (ADP) approach with a resilient event-triggering mechanism to handle the optimal control problems for a switched system, which is constrained by network resources and vulnerable to denial-of-service (DoS) attacks. The proposed approach is able to guarantee satisfactory system performances even when the data transmission is interrupted intermittently. A key step is to develop an updating method for the neural network (NN) weights of ADP in response to the triggered events and experienced attacks. The consideration of lowering computational cost and mitigating attack influences is integrated into the design of the system switching law for which a cost function is utilized to reduce unnecessary switching. In fact, the optimal control policy and optimal switching policy can be obtained as the outcome of the converging ADP iterative process. Furthermore, the uniformly ultimately boundedness of system state and NN weights is proven; more importantly, we illustrate in the dynamical processes, how the event-triggering, system switching, and DoS attacks affect one another. Finally, a numerical example is provided to verify the effectiveness of the proposed method.
Thermal characterisation of thermotropic nematic liquid-crystalline elastomers

ABSTRACT Nematic liquid-crystalline elastomers (LCEs) are weakly cross-linked polymeric networks that exhibit rubber elasticity and liquid-crystalline orientational order due to the presence of mesogenic groups. Three end-on side-chain nematic LCEs were investigated using real-time synchrotron wide-angle X-ray scattering (WAXS), differential scanning calorimetry (DSC), and thermogravimetry (TG) to correlate the thermal behaviour with structural and chemical differences among them. The elastomers differed in cross-linking density and mesogen composition. Thermally reversible glass transition temperature, Tg, and nematic-to-isotropic transition temperature, Tni, were observed upon heating and cooling. By varying the heating rate, Tg0 and Tni0 were determined at zero heating rate. The temperature dependence of the orientational order parameter was determined from the anisotropic azimuthal angular distribution of equatorial reflections seen during real-time WAXS. Results show that the choice of cross-linking unit, its shape, density, and structure of co-monomers, all influence the temperature range over which the thermal transitions take place. Including multi-ring aromatic groups as cross-linkers increased the effective stiffness of the cross-linking, resulting in a higher glass transition temperature. The nematic-to-isotropic transition temperature increased in the presence of multi-ring aromatic structures, as either cross-linkers or mesogens, particularly when the multi-ring structures were larger than the low-molar-mass mesogen common to all three samples. Graphical Abstract
Wall-Mounted Finite Airfoil-Noise Production and Prediction

This paper presents the results of an experimental investigation of the flow-induced sound produced by a smooth, wall-mounted finite length airfoil with a flat-ended tip and a tripped turbulent boundary layer. Acoustic measurements have been taken in the Stability Wind Tunnel at Virginia Polytechnic Institute and State University with a microphone array at a range of Reynolds numbers (ReC=7.9×105−1.6×106, based on chord), angles of attack (α=0–12 deg), and for a variety of airfoil aspect ratios (airfoil length-to-chord ratio of ). Spectral data show the dominant noise sources are airfoil trailing-edge noise and tip-vortex-formation noise. Acoustic data are also used to evaluate semi-empirical prediction of wall-mounted finite airfoil trailing edge and tip noise with the so-called Brooks, Pope, and Marcolini model. The prediction method employs the Brooks, Pope, and Marcolini trailing-edge-noise model modified to incorporate spanwise variations in flow properties in combination with the Brooks, Pope, and .
Development of a new agro-meteorological drought index (SPAEI-Agro) in a data-scarce region

ABSTRACT Drought complexity may not be accurately characterized by univariate meteorological or hydrological drought indices under the intensification of hydrological cycle due to climate change and human activities. In particular, such drought indices require long series of hydro-meteorological data, which are unavailable over ungauged and data-scarce catchments. In this study, a multivariate drought index, Standardized Precipitation Actual Evapotranspiration Index-Agro (SPAEI-Agro), is proposed, which combines meteorological and hydrological variables as precipitation (P), actual evapotranspiration (AET), runoff and groundwater (GW) of ungauged catchments and sub-catchment scales with diverse climatology. SPAEI-Agro was able to characterize severe drought events more accurately in humid and dry sub-humid sub-catchments compared to Standardized Precipitation Evapotranspiration Index (SPEI) and Standardized Streamflow Drought Index (SSDI) for Tunga-Bhadra River, India. SPEI (based upon potential evapotranspiration) and SSDI (based on streamflow) showed intensified drought characteristics compared to the new P, AET and GW-based drought indicator SPAEI-Agro in semi-arid and dry sub-humid climates.
Deep learning‐based hybrid reconstruction algorithm for fibre instance segmentation from
 3D
 x‐ray tomographic images

3D X-ray tomography is a powerful scanning technique used for generating images of complex fibre structures. A novel machine-learning algorithm to identify and separate individual fibres using 3D images is proposed in this article. The developed four-step hybrid 3D fibre segmentation algorithm involves deep-learning aided semantic segmentation that slices 3D images to create 2D images for fibre extraction, elliptical contour estimation combined with the marker-controlled watershed algorithm for separating fibres from the background area, identifying individual fibres through 3D reconstruction, and, lastly, the 3D object refining approach based on outlier object detection and replacement. The proposed methodology is implemented on a real-time sample of nylon fibre bundle under compression and its 3D X-ray image volume to validate the performance. The results show its superior performance compared to off-the-shelf image processing algorithms in terms of precision, that is, with a validation accuracy greater than 90%, and efficiency, that is, preventing the need for a huge data set and reducing the
Use of Propyl Gallate in Cardoon Biodiesel to Keep Its Main Properties during Oxidation

The use of alternatives for petroleum-based products is becoming more and more important, especially considering the new and constantly changing geopolitical context, where excessive energy dependence is not desirable. Thus, biodiesel could play an important role in contributing to the implementation of biorefineries, which represent desirable goals in terms of sustainability, green chemistry and the circular economy. However, one challenge related to biodiesel based on vegetable oils is its low oxidative stability, which can alter the properties of these products during storage. To avoid this problem, interesting antioxidants, such as propyl gallate (PG), could be added to biodiesel to allow it to keep its main properties during oxidation. Additionally, monitoring PG content during oxidation is interesting, and the use of voltammetry could be suitable for this purpose. The aim of this work was to assess the effectiveness of PG during cardoon biodiesel oxidation, while monitoring the process through cyclic voltammetry (CV). As a result, it was proven that PG was highly effective, increasing the length of oxidative stability to more than 10 h at low concentrations (600 mg·L−1) and retaining its main properties (viscosity and acidity) during oxidation. Regarding CV, this technique was successfully optimized to determine PG concentration in cardoon biodiesel during oxidation.
Lifestyle interventions in comorbid mental and physical illness: A systematic review protocol

Background Patients with mental health disorders (MHDs) often present with chronic illness and complain of pain and poor physical health. They present with a high burden of disease and poor quality of life. Significant associations between MHDs and chronic illness have been found. Lifestyle interventions are cost-effective strategies, which seem to be effective in managing comorbid mental and physical health disorders. Therefore, a summary of the evidence and clinical practice guidelines is needed in South Africa. Objectives Our study will aim to determine the effectiveness of lifestyle interventions on health-related quality of life, in patients with comorbid mental and physical health disorders. Method The systematic review will be conducted using the Joanna Briggs Institute (JBI) methodology for systematic reviews of effectiveness. MEDLINE (Ovid), CINAHL (EBSCO), LiLACS, Scopus, Physiotherapy Evidence Data Base (PEDro) and Cochrane Central Register of Controlled Trials will be searched. A three-step search strategy will identify published literature in all languages from 2011 to 2022. Critical appraisal of all included studies will be performed, and the relevant data will then be extracted. Where possible, data will be pooled in a statistical meta-analysis. Results The results will provide the best available evidence regarding lifestyle interventions in the management of patients with comorbid mental and physical health disorders. Conclusion Our review will provide evidence on the effectiveness of lifestyle interventions in the management of patients with comorbid mental and physical health disorders. Clinical implications The results may assist in determining the best use of lifestyle interventions in the management of patients with MHDs and comorbidities.
‘I’ve grown so much more confidence in my actual instruction’: examining teacher candidates’ pedagogical knowledge growth in translanguaging

Abstract This study examined a group of English as a New Language teacher candidates’ (TCs’) pedagogical knowledge (PK) of translanguaging in a teacher preparation course. We deep-dived into exploring how their translanguaging stance and design knowledge evolved over a course of a semester. Using a participatory research approach, data were collected through the TCs’ weekly assignments, transcripts of final self-assessment videos, and field notes of all the course artifacts. Findings indicated that the TCs’ translanguaging stance and design knowledge grew significantly. By the end of the semester, their translanguaging design knowledge was supported and guided by their stance. The TCs noted their PK of supporting emergent bilingual students expanded and transformed because of their understanding of translanguaging. The findings also showed that co-constructing knowledge with the prof essor and peers contributed a great deal to the TCs’ PK growth. For these reasons, our study confirms that PK is dynamic and that advancing TCs’ pedagogical practices requires teacher educators’ intentional design of classroom activities and responsiveness to the learning process involving TCs. Widening the literature on translanguaging, we affirm that TCs can gradually expand their entire pedagogical repertoires through deepening their knowledge of translanguaging.