bluuebunny/crossref_metadata_2025_split huggingface dataset:
Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams
Authors: Marjanovic Olivera , Patmore Greg , Balnave Nikola 
Published: July 2022

Abstract
Today’s complex problems call for multidisciplinary analytics teams comprising of both analytics and non-technical domain (i.e. subject matter) experts. Recognizing the difference between data visualisaion (DV) (i.e. static visual outputs) and visual analytics (VA) (i.e. a process of interactive visual data exploration, guided by user’s domain and contextual knowledge), this paper focuses on VA for non-technical domain experts. By seeking to understand knowledge sharing from VA experts to non-technical users of VA in a multidisciplinary team, we aim to explore how these domain experts learn to use VA as a thinking tool, guided by their knowing-in-practice. The research described in this paper was conducted in the context of a long-term industry-wide research project called the ‘Visual Historical Atlas of the Australian Co-operatives’, led by a multidisciplinary VA team who faced the challenge tackled by this research. Using Action Design Research (ADR) and the combined theoretical lens of boundary objects and secondary design, the paper theorises a three-phase method for knowledge transfer, translation and transformation from VA experts to domain experts using different types of VA-related boundary objects. Together with the proposed set of design principles, the three-phase model advances the well-established stream of research on organizational use of analytics, extending it to the emerging area of visual analytics for non-technical decision makers.
Are there gender-based variations in the presentation of Autism amongst female and male children?
Authors: Simcoe Sarah Mae , Gilmour John , Garnett Michelle S. , Attwood Tony , Donovan Caroline , Kelly Adrian B. 
Published: July 2022

AbstractThe Questionnaire for Autism Spectrum Conditions (Q-ASC; Attwood, Garnett & Rynkiewicz, 2011) is one of the few screening instruments that includes items designed to assess female-specific ASD-Level 1 traits. This study examined the ability of a modified version of the Q-ASC (Q-ASC-M; Ormond et al., 2018) to differentiate children with and without ASD-Level 1. Participants included 111 parents of autistic children and 212 parents of neurotypical children (5–12 years). Results suggested that the gendered behaviour, sensory sensitivity, compliant behaviours, imagination, and imitation subscales differentiated autistic females from neurotypical females. Compared to autistic males, autistic females had higher scores on gendered behaviour, sensory sensitivity, social masking, and imitation. Results are discussed in relation to early detection of autistic female children.
The Responsibility of Farmers, Public Authorities and Consumers for Safeguarding Bees Against Harmful Pesticides
Authors: Milford Anna Birgitte , Hatteland Bjørn Arild , Ursin Lars Øystein 
Published: July 2022

AbstractThe worldwide decline in bees and other pollinating insects is a threat to biodiversity and food security, and urgent action must be taken to stop and then reverse this decline. An established cause of the insect decline is the use of harmful pesticides in agriculture. This case study focuses on the use of pesticides in Norwegian apple production and considers who among farmers, consumers and public authorities is most responsible for protecting bees against harmful pesticides. The extent to which these three different groups consider themselves responsible and the degree to which they are trusted by each of the other groups are also studied. This empirical study involves both qualitative interviews with Norwegian apple farmers, consumers and public authorities and survey data from consumers and farmers. The results show that consumers consider public authorities and farmers equally responsible for protecting bees, while farmers are inclined to consider themselves more responsible. Farmers, consumers and public authorities do not consider consumers significantly responsible for protecting bees, and consumers have a high level of trust in both farmers and public authorities regarding this matter. This study also finds that a low level of consumer trust in farmers or public authorities increases consumers’ propensity to purchase organic food, suggesting that those who do not trust that enough action is adopted to protect the environment take on more individual responsibility. This paper adds to the existing literature concerning the allocation of responsibility for environmental outcomes, with empirical evidence focusing specifically on pesticides and bees.
The link between swelling ratios and physical properties of EPDM rubber compound having different oil amounts
Authors: Darko Charles 
Published: July 2022

AbstractThis new observation demonstrated that an increase in oil amounts within ethylene propylene diene monomer (EPDM) compounds decreased the crosslink density and the storage modulus but increase the elongation at break after tensile testing. The compounds with high oil amounts were observed to release oil particles when dissolved in toluene solutions and that increased their swell ratios. Consequently, the crosslink density had a perfect negative linear correlation with the elongation at break and a strong power-law correlation with the swell ratios. This work guides the material chemists and engineers during compound formulations when an increase in oil amounts is required.
Sequence of tense and cessation implicatures: evidence from Polish
Authors: Mucha Anne , Renans Agata , Romoli Jacopo 
Published: July 2022

AbstractIn English, past tense stative clauses embedded under a past-marked attitude verb, likeEric thought that Kalina was sick, can receive two interpretations, differing on when the state of the complement is understood to hold, i.e. Kalina’s sickness precedes the time of Eric’s thinking (backward-shifted reading), or Kalina is sick at the time of Eric’s thinking (simultaneous reading). As is well known, the availability of the simultaneous reading—also called Sequence of tense (SOT)—is subject to cross-linguistic variation. Non-SOT languages only allow for the backward-shifted interpretation. This cross-linguistic variation has been analysed in two main ways in the literature: a structural approach, connecting the availability of the simultaneous reading in a language to a syntactic mechanism that allows the embedded past not to be interpreted; and an implicature approach, which links the absence of such a reading to the presence of a “cessation” implicature associated with past tense. We report a series of experiments on Polish, which is commonly classified as a non-SOT language. First, we investigate the interpretation of complement clauses embedded under past-marked attitude verbs in Polish and English. This investigation revealed a difference between these two languages in the availability of simultaneous interpretations for past-under-past complement clauses, albeit not as large as a binary distinction between SOT and non-SOT languages would lead us to expect. We then address the question of whether the lower acceptability we observe for simultaneous readings in Polish might be due to an embedded cessation implicature. On the way to address this question, we show that in simple matrix clauses, Polish gives rise to the same cessation inference as English. Then we investigate Polish past-under-past sentences in positive and negative contexts, comparing their potential cessation implicature to the exclusive implicature of disjunction. In our results, we found that the latter was endorsed more often in positive than in negative contexts, as expected, while the cessation implicature was endorsed overall very little, with no difference across contexts. The disanalogy between the disjunction and the temporal cases, and the insensitivity of the latter to monotonicity, are a challenge for the implicature approach, and cast doubts on associating SOT phenomena with implicatures.
Metabolite profiling of abalone (Haliotis iris) energy metabolism: a Chatham Islands case study
Authors: Venter Leonie , Alfaro Andrea C. , Van Nguyen Thao , Lindeque Jeremie Zander 
Published: July 2022

Abstract
Introduction
The Chatham Islands has some of the most prized black-footed abalone (Haliotis iris) beds in New Zealand. This well-managed fishery includes restrictions on catch and size limits, selective fishing methods, and shellfish management. However, recent declines in biomass and growth parameters have prompted omics research to characterise the biological responses of abalone, potentially contributing towards animal management strategies.

Objectives
The aim of this study was to characterise the metabolite profiles of slow and fast growing, juvenile and adult abalone, relating to metabolites supporting energy metabolism.

Methods
A gas chromatography–mass spectrometry metabolite profiling, applying methyl chloroformate alkylation, was performed on juvenile and adult abalone samples collected from Point Durham and Wharekauri sites, Chatham Islands, New Zealand.

Results
The results obtained from haemolymph and muscle samples indicated that abalone from the fast-growing area, Wharekauri, fuelled metabolic functions via carbohydrate sources, providing energy for fatty acid and amino acid synthesis. Conversely, higher amino acid levels were largely utilised to promote growth in this population. The metabolism of juvenile abalone favoured anabolism, where metabolites were diverted from glycolysis and the tricarboxylic acid cycle, and used for the production of nucleotides, amino acids and fatty acids.

Conclusions
This research provides unique physiological insights towards abalone populations supporting the use of metabolomics as a tool to investigate metabolic processes related to growth. This work sets the stage for future work aimed at developing biomarkers for growth and health monitoring to support a growing and more sustainably abalone fishery.

Graphical abstract
Determination of alpha factors for monitoring of aeration systems with the ex situ off-gas method: experience from practical application and estimation of measurement uncertainty
Authors: Schwarz Maximilian , Trippel Jana , Engelhart Markus , Wagner Martin 
Published: July 2022

AbstractPerformance of aeration systems in wastewater treatment plants (WWTP) under process conditions can be monitored with off-gas tests. The ex situ off-gas method transfers activated sludge from an adjacent aeration tank into aerated columns to determine oxygen transfer parameters (e.g., the α-factor). This method is an alternative to in situ off-gas testing with hoods at the tank surface; however, its application and measurement uncertainty have not been examined yet. We outline our experience from long-term off-gas testing with two pilot-scale test reactors (8.3 m3 volume). Global variance-based sensitivity analysis using Sobol’ indices revealed oxygen concentration in off-gas and dissolved oxygen as the most important input quantities to determine α-factors accurately. Measurement uncertainty of other instruments was negligible. These findings are transferable to in situ off-gas hoods because the methods are similar. Random measurement error of α-factors was estimated with uncertainty analysis and comparison measurements to a relative standard deviation of about ± 2.8% for our ex situ pilot setup. Diffuser fouling, biofilm growth, or sensor drift caused systematic errors avoidable by maintenance. Additional mixing of bubble column due to sludge inflow into ex situ tanks led to a systematic overestimation of α-factors at lower airflow rates. Hence, the ex situ off-gas method is not suitable to determine α-factors for the design of aeration systems but offers unique possibilities for research of oxygen transfer dynamics and development of aeration equipment because ex situ columns can be operated independently from a full-scale activated sludge tank.
Microstructural and Tribo-mechanical Properties of Arc-Sprayed CoCr-Based Coatings
Authors: Hagen L. , Paulus M. , Tillmann W. 
Published: July 2022

AbstractDue to their superior wear and oxidation resistance, Stellite™ coatings are widely used in industrial applications, where the coatings are exposed to high temperature. Common processes for applying Stellite™ coatings include the high-velocity oxy-fuel spraying, laser cladding, and plasma transferred arc welding. Although Stellite™ welding consumables or similar welding consumables in the form of cored wires (CoCr base without industrial property rights) are commercially available, there are hardly any studies on arc-sprayed Stellite™ coatings available in the literature. In this study, the microstructural characteristics of arc-sprayed deposits were investigated, which were produced using a CoCr-based cored wire with addition of 4.5 wt.% tungsten. The produced deposits were examined in its as-sprayed state as well as after exposed to elevated temperatures. The microstructure was scrutinized by means of electron microscopy, energy-dispersive x-ray spectroscopy, as well as x-ray diffraction analyses using synchrotron radiation. Tribo-mechanical tests were conducted in order to assess the performance of the arc-sprayed coating. The findings were discussed and compared to those obtained from conventional CoCr-based coatings. It was found that the arc-sprayed CoCr-based coating is predominantly composed of Co-rich, Cr-rich lamellae or lamellae comprising a Co(Cr)-rich solid solution interspersed with various oxides between the individual lamellae. Solid solution hardening serves as dominant strengthening mechanism, while precipitation hardening effects are hardly evident. With regard to the oxidation behaviour, the as-sprayed coating mainly contains CoCr2O4as well as traces of Co3O4. For heating above 550 °C, coating surface additionally consists of Fe2O3and Co3O4. In dry sliding experiments, the arc-sprayed CoCr-based coating shows a decreased wear resistance compared to CoCr-based coatings processed by HVOF and PTA, whereas the coefficient of friction (COF) sliding against alumina was similar to the COF observed for the HVOF-sprayed CoCr-based coating, but lower than the COF obtained for the CoCr-based hardfacing alloy deposited by PTA.
Track-to-track association methodology for operational surveillance scenarios with radar observations
Authors: Pastor Alejandro , Sanjurjo-Rivo Manuel , Escobar Diego 
Published: July 2022

AbstractThis paper proposes a novel track-to-track association methodology able to detect and catalogue resident space objects (RSOs) from associations of uncorrelated tracks (UCTs) obtained by radar survey sensors. It is a multi-target multi-sensor algorithm approach able to associate data from surveillance sensors to detect and catalogue objects. The association methodology contains a series of steps, each of which reduces the complexity of the combinational problem. The main focus are real operational environments, in which brute-force approaches are computationally unaffordable. The hypotheses are scored in the measurement space by evaluating a figure of merit based on the residuals of the observations. This allows us to filter out most of the false hypotheses that would be present in brute-force approaches, as well as to distinguish between true and false hypotheses. The suitability of the proposed track-to-track association has been assessed with a simulated scenario representative of a real operational environment, corresponding to 2 weeks of radar survey data obtained by a single survey radar. The distribution and evolution of the hypotheses along the association process is analysed and typical association performance metrics are included. Most of the RSOs are detected and catalogued and only one false positive is obtained. Besides, the rate of false positives is kept low, most of them corresponding to particular cases or objects with high eccentricity or limited observability.
Study on wetland landscape pattern evolution in the Dongping Lake
Authors: Zhou Ke 
Published: July 2022

AbstractWetland structure evolution is a basis of healthy ecosystem and one of the important indicators for restoration and protection of wetlands. In this paper, based on the Landsat remote sensing images from 1980 to 2020, the wetland structure was extracted by using the supervised classification method in the Dongping Lake. A CA–Markov Model was put forward to set up wetland transfer matrix and to improve the space and quantity of simulation results. The temporal-spatial evolution of the wetland and landscape indicators were studied, and the evolution trend as well as driving forces were analyzed. The studied results show that, in recent years, the wetland landscape pattern transfer were occurred continuously, in which the area of bare land significantly decreased, the infrastructure land use significantly increased, the natural water surface increased gradually. The studied landscape pattern indices show that the wetland landscape evenness index increased, the landscape diversity index tends to be decreased, the degree of wetland landscape fragmentation is basically balanced, but the overall trend is increasing, and the landscape diversity tends to be simple. At present, the area of wild reeds takes the dominant trend in the main wetland area, which accounts for 55% of the total wetland area. The proportion of forest and grass land area accounts for 9%.
Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension
Authors: Biedma-Rdguez Carmen , Gacto María José , Anguita-Ruiz Augusto , Alcalá-Fdez Jesús , Alcalá Rafael 
Published: July 2022

AbstractScientists must understand what machines do (systems should not behave like a black box), because in many cases how they predict is more important than what they predict. In this work, we propose a new extension of the fuzzy linguistic grammar and a mainly novel interpretable linear extension for regression problems, together with an enhanced new linguistic tree-based evolutionary multiobjective learning approach. This allows the general behavior of the data covered, as well as their specific variability, to be expressed as a single rule. In order to ensure the highest transparency and accuracy values, this learning process maximizes two widely accepted semantic metrics and also minimizes both the number of rules and the model mean squared error. The results obtained in 23 regression datasets show the effectiveness of the proposed method by applying statistical tests to the said metrics, which cover the different aspects of the interpretability of linguistic fuzzy models. This learning process has obtained the preservation of high-level semantics and less than 5 rules on average, while it still clearly outperforms some of the previous state-of-the-art linguistic fuzzy regression methods for learning interpretable regression linguistic fuzzy systems, and even to a competitive, pure accuracy-oriented linguistic learning approach. Finally, we analyze a case study in a real problem related to childhood obesity, and a real expert carries out the analysis shown.
Maintaining Confidence in Police Use of Force in Western Liberal Democracies
Authors: Basu Neil 
Published: July 2022

AbstractIn a liberal democracy, the police cannot have the power to use force without accountability and transparency. Operational independence to make hard policing decisions should be matched by operational responsibility and willingness to account for that decision. Political and societal pressure can result in over- or under-reaction in the use of hard police tactics. We are not making decisions based on rigorous evidence and research, so we cannot explain why we use certain tactics and whether they are disproportionate. The evidence concerning our need for more self-protection and greater force is poor and may affect our judgement. Public confidence requires both better evidence and better communication of that evidence to communities in which police use force with greatest consequence.
Deep Learning Based a New Approach for Power Quality Disturbances Classification in Power Transmission System
Authors: Topaloglu Ismail 
Published: July 2022

AbstractPower quality is one of the most important research eras for the energy sector. Suddenly dropped voltages or suddenly rising voltages and harmonics in energy should be identified. All of these distortions are called power quality disturbances (PQDs). Deep learning based convolutional artificial neural networks with an attention model approach has been carried out. The main idea is to develop a new approach to convolutional neural network (CNN) based which classifies a particular power signal into its respective power quality condition. The attention model approach is based on the idea that the best solution will be taken from the newly produced data pool obtained by rescaling the available data according to the total number of pixels before the average data pool is created and then deep CNN processes will continue. In the attention model approach, all data is multiplied by the number of elements by the number of epoch time sixty-six tensors. The dataset used here contains signals which belong to one of the 9 classes. This means that each signal is characterized by 622 data points and 5600 data parameters. All signals provided are in time domain. Power quality (PQ) is directly depending on power disturbances’ absence or scarcity. The accuracy and error values of the developed model were obtained according to both the number of epochs and the number of iterations.
Impact of COVID-19 lockdown on food habits, appetite and body weight in Tunisian adults
Authors: Turki Saoussen , Bouzekri Khaoula , Trabelsi Tarek , El Ati Jalila 
Published: July 2022

Abstract
Tunisia recorded the highest rate of COVID-19 positive cases and deaths in Africa but no studies assessed the impact of the pandemic on eating patterns as in the case of several countries. The objective of the present study was to investigate the perception of changes in food habits, appetite and body weight in Tunisian adults of both genders aged 20–74 years old. A cross-sectional study has been carried out with a non-probabilistic sampling method based on an online self-administered survey. Of overall 1082 adults included in the study, 57⋅8 % reported a change in their eating habits: 21⋅2 % an increase in their consumption of fresh fruits, vegetables, pulses, pasta and bread, while 36⋅6 % an increase of homemade cakes and biscuits, sweets, processed meat, sugary drinks and alcoholic drinks. In addition, tea, coffee and herbal tea have been reported as excessively consumed during the lockdown period. More than half experienced appetite variations (34⋅6 % increased appetite and 23⋅0 % appetite loss). Inequality detrimental to women was reported regarding eating habit changes (women consumed more unhealthier foods than men). Elderly subjects (over 60 years) were less likely to negatively change food habits in comparison with young adults (20–25 years), while ungraduated respondents were more prone to negatively change their food habits. Almost half reported weight gain. As the negative influence of the lockdown period on eating habits with the increase of obesity risk has been detected, health policy may be advised to focus on using mass media campaigns to promote healthy eating habits, in particular for illiterate and young people.