bluuebunny/crossref_metadata_2025_split huggingface dataset:
What do Older Adults Want from Social Robots? A Qualitative Research Approach to Human-Robot Interaction (HRI) Studies
Authors: Søraa Roger Andre , Tøndel Gunhild , Kharas Mark W. , Serrano J Artur 
Published: September 2022

AbstractThis study investigates what older adults want from social robots. Older adults are often presented with social robots designed based on developers’ assumptions that only vaguely address their actual needs. By lacking an understanding of older adults’ opinions of what technology should or could do for them–and what it should not do–we risk users of robots not finding them useful. Social and humanistic research on the robotization of care argues that it is important to prioritize user needs in technology design and implementation. Following this urgent call, we investigate older adults’ experiences of and approach to social robots in their everyday lives. This is done empirically through a qualitative analysis of data collected from six group interviews on care robots with health care service users, informal caregivers (relatives), and professional caregivers (healthcare workers). Through this “Need-Driven-Innovation” study we argue that, to secure a functional and valuable technology-fit for the user, it is crucial to take older adults’ wishes, fears, and desires about technology into account when implementing robots. It is also crucial to consider their wider networks of care, as the people in these networks also often interact with the assistive technology service users receive. Our study shows that more qualitative knowledge on the social aspect of human-robot interaction is needed to support future robot development and use in the health and care field and advocates for the crucial importance of strengthening the position of user-centered qualitative research in the field of social robotics.
Accuracy of mobile 6-lead electrocardiogram device for assessment of QT interval: a prospective validation study
Authors: Bergeman A. T. , Pultoo S. N. J. , Winter M. M. , Somsen G. A. , Tulevski I. I. , Wilde A. A. M. , Postema P. G. , van der Werf C. 
Published: September 2022

Abstract
Introduction
Ambulatory assessment of the heart rate–corrected QT interval (QTc) can be of diagnostic value, for example in patients on QTc-prolonging medication. Repeating sequential 12-lead electrocardiograms (ECGs) to monitor the QTc is cumbersome, but mobile ECG (mECG) devices can potentially solve this problem. As the accuracy of single-lead mECG devices is reportedly variable, a multilead mECG device may be more accurate.

Methods
This prospective dual-centre study included outpatients visiting our cardiology clinics for any indication. Participants underwent an mECG recording using a smartphone-enabled 6‑lead mECG device immediately before or immediately after a conventional 12-lead ECG recording. Multiple QTc values in both recordings were manually measured in leads I and II using the tangent method and subsequently compared.

Results
In total, 234 subjects were included (mean ± standard deviation (SD) age: 57 ± 17 years; 58% males), of whom 133 (57%) had cardiac disease. QTc measurement in any lead was impossible due to artefacts in 16 mECGs (7%) and no 12-lead ECGs. Mean (± SD) QTc in lead II on the mECG and 12-lead ECG was 401 ± 30 and 406 ± 31 ms, respectively. Mean (± SD) absolute difference in QTc values between both modalities was 12 ± 9 ms (r = 0.856; p < 0.001). In 55% of the subjects, the absolute difference between QTc values was < 10 ms.

Conclusion
A 6-lead mECG allows for QTc assessment with good accuracy and can be used safely in ambulatory QTc monitoring. This may improve patient satisfaction and reduce healthcare costs.
Effects of Mindfulness-Based Interventions on Peer Relationships of Children and Adolescents: a Systematic Review and Meta-analysis
Authors: Dai Xiaolu , Du Nan , Shi Songyun , Lu Shuang 
Published: September 2022

Abstract
Objectives
Peer relationships play a critical role throughout childhood and adolescence. This meta-analysis systematically reviews the effects of mindfulness-based interventions (MBIs) on peer relationships of children and adolescents.

Methods
We identified 21 relevant studies from 12 databases. The overall intervention effect size was estimated with the pooled standardized mean difference using random-effects models. Moderator analyses were performed to explore the variability in intervention effects. Fidelity data were synthesized narratively. Risk of bias and publication bias were also assessed.

Results
MBIs showed small positive within-group effects (g = 0.48, 95% CI [0.33, 0.62]) and between-group effects (g = 0.40, 95% CI [0.18, 0.62]) on peer relationships. The effects of MBIs on peer relationships varied significantly by participant age and facilitator background.

Conclusions
MBIs show promising effects in improving peer relationships among children and adolescents. However, considering the limited evidence currently available, more studies are needed to validate the efficacy of the interventions.

Meta-analysis Pre-registration
PROSPERO #CRD42021232836
Durability of lightweight oil-well geopolymer system in sulfate environment
Authors: Adjei Stephen , Abdelaal Ahmed , Elkatatny Salaheldin , Abdelfattah Ahmed Mohsen 
Published: September 2022

AbstractSulfates when present in the formation water would attack and deteriorate the cementitious system. In the quest to investigate the possibility of using geopolymer systems in oil-well cementing, the durability of geopolymer in various corrosive environments has been simulated. Lightweight geopolymer systems exhibit different microstructural and macroscopic properties compared to the conventional geopolymer systems whose durability under sulfate attack has been widely investigated. It is therefore important to study the resistance of lightweight geopolymer to sulfate attack. A ternary geopolymer was formulated at 13 ppg (1.56 g/cm3) by admixing metakaolin, ground granulated blast furnace slag (GGBFS), and silica fume in an alkaline solution composed of sodium silicate and 10 M sodium hydroxide solution in a mass ratio 1:3. The geopolymer specimen was cured in a water bath at 163 °F for 72 h and subsequently submerged in a 50 g/L sodium sulfate solution for up to 2 days. The effect of the sulfate solution on the strength and the mechanism of the sulfate attack was analyzed using analytical techniques, pH, and ion exchange measurements. The compressive strength of the specimen at 72 h, having a value of 802 psi decreased by 19.8% and 26.2% after day 1 and day 2 in the sodium sulfate solution, respectively. Investigation of the mechanism indicated that the loss in strength was not a result of the formation of deleterious phases but rather the leaching of Na ions from the geopolymer indicated by the rise in the pH and amount of Na ions in the sodium sulfate solution after the geopolymer was submerged in a sulfate solution. Lightweight geopolymer has a relatively loose microstructure that reduces its tendency to inhibit the transport of alkalis during sulfate attack, making the effect of the sulfate environment more pronounced.
The role of cover crops in improving soil fertility and plant nutritional status in temperate climates. A review
Authors: Scavo Aurelio , Fontanazza Stefania , Restuccia Alessia , Pesce Gaetano Roberto , Abbate Cristina , Mauromicale Giovanni 
Published: September 2022

AbstractCover crops (CCs) are a promising and sustainable agronomic practice to ameliorate soil health and crop performances. However, the complex of relationships between CCs, the soil, and the plant nutritional status has been little investigated. In this article, for the first time, we critically review, under a holistic approach, the reciprocal relationships between CCs and the soil physical and hydraulic properties, microbial, and faunal communities, soil nutrient availability, and plant nutritional status in temperate climates. For each of these topics, we report the current state of understanding, the influence of CC management options and suggested strategies, thus including both fundamental and applied aspects. In addition, we provide a detailed focus on the history of CCs and a list of the main temperate CCs. Cover cropping is a helpful practice in improving the physical, chemical, and biological soil properties, optimizing nutrient use efficiency and reducing the dependency of crops on external supplies of nutrients. The interactions between CCs and the nutritional status of soil and plants are complex and dynamic. Their understanding could be useful to set up an appropriate and site-specific management of fertilization. Management options play a key role in developing an effective and context-specific cover cropping.
Pediatric hospital admissions, case severity, and length of hospital stay during the first 18 months of the COVID-19 pandemic in a tertiary children’s hospital in Switzerland
Authors: Bögli Jasmin , Güsewell Sabine , Strässle Rita , Kahlert Christian R. , Albrich Werner C. 
Published: September 2022

Abstract
Background
SARS-CoV-2 directly contributes to the burden of respiratory disease in children, but indirect effects of protective measures also need to be considered to assess the overall impact of the pandemic on children's health.

Methods
We retrospectively compared pre-pandemic and pandemic data of main admission diagnoses, sorted by ICD-10 diagnosis groups, in a tertiary children's hospital in Switzerland from 2017 until August 2021. Hospital admission rates, severity, and length of stay (LOS) of the individual ICD-10 groups during the pandemic were compared with three previous years accounting for seasonal differences.

Results
Among 20,168 hospital admissions (n = 13′950 in pre-pandemic years; n = 3′120 in 2020 and n = 3′098 in 2021), there were significant decreases in numbers of admissions for respiratory diseases during the early pandemic with a rebound in summer 2021. During the pandemic, admissions for non-respiratory infections, neoplasms, and skin diseases decreased but increased for trauma. Particularly, a drop in admissions for different respiratory infections [e.g. respiratory syncytial virus (RSV) and bronchiolitis] was pronounced after introduction of strict measures, but admissions increased again after restrictions were loosened. While disease severity was lower for respiratory and neurologic diseases and bronchiolitis throughout the pandemic, gastrointestinal disease admissions had longer LOS and in the first pandemic year greater severity. For RSV and pneumonia, disease severity and LOS were higher in the first pandemic year and lower in the second pandemic year.

Conclusion
The pandemic and associated protective measures had a significant effect on respiratory and non-respiratory admissions, particularly with decreases in hospital admissions for respiratory infections followed by a rebound after loosening of measures.
Fear, freedom and political culture during COVID-19
Authors: Soutphommasane Tim , Stears Marc 
Published: September 2022

AbstractAustralia’s experience of the COVID-19 pandemic has been widely perceived to have been a successful one, based on the relatively few number of lives lost to the virus compared to the rest of the world. There remain, nonetheless, serious ethical challenges at the heart of the Australian response to COVID-19. The broadly positive outcomes of Australia’s pandemic response mask more troubling developments within its political culture, and the costs it has imposed on its society. This article examines two concerns in particular: the normalisation of fear and emergency through the language and policy responses adopted by governments, and the significant diminution of individual freedoms and human rights.
Sentiment analysis in learning resources
Authors: Salazar Camilo , Montoya-Múnera Edwin , Aguilar Jose 
Published: September 2022

AbstractIn this work, we aim to analyze the sentiments of learning resources from their textual contents. This work proposes a method for automatic assignment of emotional state to learning resources, based on their feature similarity with previously labeled learning resources. Then, various feature extraction strategies, which describe the relevant information in the texts, are compared for the task of sentiments analysis, considering the two main dimensions of emotions: arousal and valence. The results are very promising, showing a very high value in the performance metrics, like the $$R^2$$

R
2

score.
Numerical analysis of all-steel sandwich panel with drilled I-core subjected to air blast scenarios
Authors: Kiakojouri Foad , Tavakoli Hamid Reza , Sheidaii Mohammad Reza , De Biagi Valerio 
Published: September 2022

AbstractThis paper reports a numerical study carried out with the aim of quantifying nonlinear dynamic response of drilled I-core steel sandwich panel when subjected to air blast loading. Several parameters, i.e., boundary conditions, explosive charge weight and asymmetrical loading, that can affect structural response under blast loads, are considered. The material and geometric nonlinearities and strain-rate effects are also taken into account in the modeling. Obtained results are compared with available experimental data to verify the developed finite element model and good agreement is observed. According to the results, sandwich panels with drilled I-core allow more plastic deformation and energy dissipation and less midpoint displacement compared with equivalent structures, i.e., conventional I-core sandwich panels and also solid plate with same weight and material.
Alexithymia, impulsiveness, emotion, and eating dyscontrol: similarities and differences between narcolepsy type 1 and type 2
Authors: Del Bianco Chiara , Ulivi Martina , Liguori Claudio , Pisani Antonio , Mercuri Nicola Biagio , Placidi Fabio , Izzi Francesca 
Published: September 2022

AbstractNon-sleep symptoms, as depression, anxiety and overweight, are often encountered in narcoleptic patients. The purposes of this study are to evaluate mood, impulsiveness, emotion, alexithymia, and eating behavior in patients with narcolepsy type 1 (NT1) and narcolepsy type 2 (NT2) compared to healthy controls and to investigate possible correlations between clinical-demographic data, polysomnographic parameters, and subjective questionnaires. Consecutive patients affected by NT1 and NT2 underwent to Patient Health Questionnaire-9, Generalized Anxiety Disorder-7 Scale, Barratt Impulsivity Scale-11, Difficulties in Emotion Regulation Scale, Toronto Alexithymia Scale, and Eating Disorder Evaluation Questionnaire. Daytime sleepiness was assessed using Epworth sleepiness score. Data were compared with controls. Fourteen NT1, 10 NT2, and 24 healthy subjects were enrolled. Toronto Alexithymia Scale total score was significantly higher in NT1 than NT2. Compared to controls, NT1 patients exhibited significantly higher scores at Patient Health Questionnaire-9 and Difficulties in Emotion Regulation Scale. A positive correlation between hypnagogic hallucinations and Difficulties in emotion regulation was found. NT1 and NT2 share several psycho-emotional aspects, but whereas NT1 patients exhibit more depressive mood and emotion dysregulation compared to controls, alexithymic symptoms are more prominent in NT1 than NT2. Hypnagogic hallucinations, emotion dysregulation, and alexithymia appear to be correlated, supporting the hypothesis of mutual interaction of the above areas in narcolepsy.
Graph neural network inspired algorithm for unsupervised network community detection
Authors: Sobolevsky Stanislav , Belyi Alexander 
Published: September 2022

AbstractNetwork community detection often relies on optimizing partition quality functions, like modularity. This optimization appears to be a complex problem traditionally relying on discrete heuristics. And although the problem could be reformulated as continuous optimization, direct application of the standard optimization methods has limited efficiency in overcoming the numerous local extrema. However, the rise of deep learning and its applications to graphs offers new opportunities. And while graph neural networks have been used for supervised and unsupervised learning on networks, their application to modularity optimization has not been explored yet. This paper proposes a new variant of the recurrent graph neural network algorithm for unsupervised network community detection through modularity optimization. The new algorithm’s performance is compared against the state-of-the-art methods. The approach also serves as a proof-of-concept for the broader application of recurrent graph neural networks to unsupervised network optimization.
Effects of reliability indicators on usage, acceptance and preference of predictive process management decision support systems
Authors: Fröhlich Peter , Mirnig Alexander G. , Falcioni Damiano , Schrammel Johann , Diamond Lisa , Fischer Isabel , Tscheligi Manfred 
Published: September 2022

AbstractDespite the growing availability of data, simulation technologies, and predictive analytics, it is not yet clear whether and under which conditions users will trust Decision Support Systems (DSS). DSS are designed to support users in making more informed decisions in specialized tasks through more accurate predictions and recommendations. This mixed-methods user study contributes to the research on trust calibration by analyzing the potential effects of integrated reliability indication in DSS user interfaces for process management in first-time usage situations characterized by uncertainty. Ten experts specialized in digital tools for construction were asked to test and assess two versions of a DSS in a renovation project scenario. We found that while users stated that they need full access to all information to make their own decisions, reliability indication in DSS tends to make users more willing to make preliminary decisions, with users adapting their confidence and reliance to the indicated reliability. Reliability indication in DSS also increases subjective usefulness and system reliability. Based on these findings, it is recommended that for the design of reliability indication practitioners consider displaying a combination of reliability information at several granularity levels in DSS user interfaces, including visualizations, such as a traffic light system, and to also provide explanations for the reliability information. Further research directions towards achieving trustworthy decision support in complex environments are proposed.
Contact herbicidal activity optimization of methyl capped polyethylene glycol ester of pelargonic acid
Authors: Campos Javier , Mansour Peter , Verdeguer Mercedes , Baur Peter 
Published: September 2022

AbstractThe loss of important contact herbicides like paraquat opens opportunities for more potentially sustainable solutions demanded by consumers and organizations. Frequently, for adequate weed control, the alternatives to classical synthetic products need well-defined and executed labels and even more detailed use descriptions. One novel candidate with rare contact activity is a pelargonic acid ester of methyl polyethylene glycol (PA-MPEG) with advantages over free pelargonic acid (PA), such as reduced volatility and ease of formulation. Here, we report on the role of the application parameters such as spray volume, rate, sprayer set-up, and climate conditions for weed control with PA-MPEG. At a dose rate of 12.8 kg ae ha−1 in a spray volume of 500 L ha−1, control of Digitaria sanguinalis (L.) Scop. and Solanum nigrum L. was excellent. These values for product rate and spray volume are lower than applications with commercial PA herbicides, at equal or better efficacy. Coverage was too low at spray volumes of 100 to 200 L ha−1, for adequate contact activity of both PA-MPEG and PA. Weed control was significantly increased when PA-MPEG application was made at lower boom height with reduced distance to weed canopy, or under warm and dry climate conditions. The results indicate the potential of PA-MPEG under optimal use conditions as a new contact herbicide in integrated weed management.
Early Toarcian (Jurassic) brachiopods from the Balearic Islands (Spain) and their paleobiogeographic context
Authors: García Joral Fernando , Goy Antonio , Rosales Idoia , Barnolas Antonio , Sevillano Ana , López-García José María 
Published: September 2022

AbstractThe record of brachiopods in the Lower Toarcian of the Balearic Islands is described after a reassessment of previous works and new samplings in the Tramuntana Range of Mallorca. The recognized species have been assimilated to the assemblages described in the Iberian Range in the Tenuicostatum and Serpentinum biozones. Moreover, a detailed comparison with other Western Tethys basins and the study of the dispersion of the brachiopod faunas in relation with the Early Toarcian Oceanic Anoxic Event, allow to refine the paleobiogeographic relationship of the Balearic brachiopods. They belong to the Euro-Boreal Province of brachiopods in the Tenuicostatum Biochron and correspond to the”Spanish Fauna” that emerged after the deep paleobiogeographic disruption that took place at the base of Serpentinum Biochron. The occurrence ofPrionorhynchia msougariRousselle in the Serpentinum Zone of Mallorca indicates that, within this last assemblage, there would be a closer connection between the Balearic region and the southern margin of the Tethys (Betic and North African basins) than with the northern margin (Eastern Iberian Platform System and Eastern Pyrenees). This paleobiogeographic conclusion is consistent with the supposed position of the Balearic area in the Early Toarcian, on the southeastern margin of Iberia and near the Alboran and Kabylian margins.
Water-based air purifier with ventilation fan system: a novel approach for cleaning indoor/outdoor transitional air during the pandemic
Authors: Jumlongkul Arnon 
Published: September 2022

Abstract
This article presents the design and fabrication of an air purifier that uses a water-based technique to clean indoor/outdoor transitional air to provide a low-tech air purifier against the annual smog crisis and the ongoing COVID-19 pandemic. The air purifier was designed and built. All tests were conducted in a closed room as well as a semi-outdoor area. Particle sizes of PM0.3, 0.5, 1.0, 3.0, 5.0, and 10 μm (particle/m3) were measured at an air inlet, air outlet, 2 m from an air inlet, and 4 m from an air outlet after 0, 5, 10, 15, and 20 min of air treatment, respectively, as well as CO2 levels and relative humidity (RH). The average airflow rate was also measured. When compare to 0 min, all parameters, except semi-outdoor PM0.3 and CO2 levels, tend to decrease in both indoor and semi-outdoor conditions. When measure by total airflow specification of a dual ventilation fan, the average airflow rate at an air outlet is reduced by 20 times.

Article Highlights

Design and fabrication of a water-based air purifier.

A low-tech air purifier helping to protect against the annual smog crisis and the ongoing COVID-19 pandemic.

The novel water-based air purifier effectively traps air particles ranging in size from 0.5 to 10 µm.
Predictive Analytics for Real-time Auction Bidding Support: a Case on Fantasy Football
Authors: Maniezzo Vittorio , Aspee Encina Fabian Andres 
Published: September 2022

AbstractThis work reports about an end-to-end business analytics experiment, applying predictive and prescriptive analytics to real-time bidding support for fantasy football draft auctions. Forecast methods are used to quantify the expected return of each investment alternative, while subgradient optimization is used to provide adaptive online recommendations on the allocation of scarce budget resources. A distributed front-end implementation of the prescriptive modules and the rankings of simulated leagues testify the viability of this architecture for actual support.