bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial occurrence and abundance of marine zooplankton in Northeast Greenland
Authors: Beroujon Théo , Christiansen Jørgen Schou , Norrbin Fredrika 
Published: August 2022

AbstractWe present a large-scale survey of mesozooplankton (size range 0.2–20 mm) across coastal, shelf, and slope locations in Northeast Greenland (latitudes 74–79° N, August 2015 and September 2017). Our study is centred on the Video Plankton Recorder (VPR) for non-invasive in situ observations of taxa distribution and abundance while simultaneously recording oceanographic profiles. A modified WP-2 plankton net (85-μm mesh size) was used primarily not only to verify taxa detected by the VPR but also to make a preliminary comparison of abundance estimates by the two gears. A total of 35 zooplankton taxa were identified with 10 genera alone among copepods (Hexanauplia). Selected taxa from the VPR (N=16) were associated with the temperature-salinity spaces and the chlorophylla-depth profiles in the study area. From surface to > 900 m depth, the overall temperature and salinity ranged between −1.9 and 6.8 °C and 26.6 and 35.3, respectively. Two copepod genera dominated, i.e.Pseudocalanusprevailed in the upper sub-zero layers in coastal waters whereasCalanuswas omnipresent, but mainly abundant in the warmer Atlantic waters at the shelf break. Chlorophyllalevels were in general very low (< 2 mg m-3) and peaked at 30–50 m depth, suggesting post-bloom conditions. Overall, zooplankton abundances tended to increase from the coast towards the slope (9–344×103individuals m-2). Biodiversity in terms of taxon richness, on the other hand, showed the opposite trend and decreased from 16 taxa at the coast to 5 taxa further offshore.
Assessing public organic food procurement: the case of Zurich (CH)
Authors: Schleiffer Mirjam , Landert Jan , Moschitz Heidrun 
Published: August 2022

Abstract
Organic food is increasingly promoted among authorities and governments to tackle global sustainability challenges and support an agri-ecological transition. An important policy instrument in this endeavour is the purchase of food or food services by public institutions, the so-called public food procurement (PFP). While PFP policies often promote organic food, few studies quantify the actual share of organic products in PFP systems. This study applies an adapted city food flow analysis to evaluate the organic share of 12 product groups in public catering, using Zurich as a case study. Based on a typology of procurement channels, we show that Zurich’s PFP system is highly centralised with internal coordinated procurement (INT–coord) and external coordinated procurement (EX–coord) providing 70% and 25% of total annual meals respectively. As Zurich procures 11% (INT–coord) and 9% (EX–coord) of organic produce, the city has considerable potential to increase organic PFP. Leverage points to this aim include internal product-specific thresholds, supply development and developments in digital procurement. This study provides a methodology to conceptualise municipal PFP systems and measure city-wide levels of organic PFP. The insights from Zurich offer a blueprint for PFP systems in other municipalities and reveal potential challenges when defining and monitoring organic PFP policies based on total purchases.
Enhancement of the virtual design platform for modeling a functional system architecture of complex cabin systems
Authors: Fuchs Mara , Ghanjaoui Yassine , Abulawi Jutta , Biedermann Jörn , Nagel Björn 
Published: August 2022

AbstractModel-based systems engineering (MBSE) is a fundamental approach for the end-to-end use of digital models in the development of complex systems. The aviation industry in particular, where system complexity is constantly increasing, needs new concepts and methods to overcome ecological and socio-economic challenges. Therefore, domain-specific models are needed for the design and evaluation of systems to support the various system investigations, such as requirements management, installation space optimization, or failure analyses. An end-to-end coupling and linking of these mostly heterogeneous systems offer many advantages (e.g. shorter development times) over working with isolated digital sub-models, natural language documents, and purely physical prototypes. In addition, digitalization allows global and interdisciplinary collaboration of multiple teams of experts on the same virtual product. Since this approach is particularly promising for the configuration of aircraft cabins, a virtual development platform is developed at the German Aerospace Center (DLR) for the conceptual design of the aircraft cabin and its systems. As a result, virtual prototypes of cabin configurations are quickly generated to allow new concepts to be visualized and investigated at an early design stage. Extending the conceptual cabin system design process with a functional system architecture and executable system architecture models promotes information traceability, early failure detection, and requirements verification. The methodology used for this purpose is presented in this paper. The systems modeling language (SysML) is used to build a model for the functional depiction of cabin systems and to link it to existing models of the conceptual cabin design process. The modeling is performed exemplarily for the passenger service functions. Subsequently, the results are automatically transferred to the virtual development platform to experience the generated cabin concept.
Relevance of soil fertility spatial databases for parameterizing APSIM-wheat crop model in Moroccan rainfed areas
Authors: Mamassi Achraf , Marrou Hélène , El Gharous Mohamed , Wellens Joost , Jabbour Fatima-Ezzahra , Zeroual Youssef , Hamma Abdellah , Tychon Bernard 
Published: August 2022

AbstractCrop models have evolved over the past decade to incorporate more soil-related processes. While this may open avenues to support farmers regarding fertilization practices, it also widens the pitfalls related to model parametrization. Open-access georeferenced soil databases are often a solution for modelers to derive soil parameters. However, they can potentially add to model uncertainty depending on database resolution and the variability of the characteristics it contains. Fertimap is an online spatial database recently released in Morocco. In this study, we aim at assessing how Fertimap could support the use of crop model in the rainfed wheat production areas of Morocco. Data including local soil analysis, farmers’ practices, wheat biomass, and yield were collected on 126 farmers’ fields distributed across the rainfed wheat production area in Morocco from 2018 to 2020. Data were first used to parameterize, calibrate, and assess the model, using site-specific data to infer soil parameters. Then, the impact of soil data source on model uncertainty was assessed by rerunning the simulations while using alternatively locally measured soil inputs or inputs extracted from Fertimap. To disentangle the effect of data source from model sensitivity on model outputs, the model’s sensitivity to labile phosphorus, pH, and organic carbon parameters was also tested. The APSIM-wheat model was found to reasonably simulate wheat phenological stages, biomass, and yield. The comparison of model outputs using one or another source of soil data indicated that using Fertimap had no significant effect on the model’s outputs. This study provides the first assessment of the APSIM-wheat model for simulation of widely used wheat cultivars in Moroccan rainfed areas. It is also the first proof of the practical utility of Fertimap database for modeling purposes in Morocco. This preliminary study delivers a robust basis for model-assisted agricultural advising to take off in Morocco.
Unexpected interest recommender system with graph neural network
Authors: Xia Hongbin , Huang Kai , Liu Yuan 
Published: August 2022

AbstractTraditional recommender systems often face the filter bubble problem when they focus on recommending familiar items to users. The over-specialized recommended contents will make users bored. To solve this problem, researchers have proposed models that focus on unexpectedness, but these models all suffer from incomplete learning of features. To address this problem, we propose an unexpected interest recommender system with graph neural network (UIRS-GNN). First, we preprocess the input data with a graph convolutional network. It enriches user and item feature vectors by aggregating neighborhood information. Second, we transform the GRU and propose the attention-based long short-term gated recurrent unit network to learn user preferences hidden in historical behavior sequences. Then, we input the preprocessed feature vectors of users and items into the unexpected interest model, and solve the problem of insufficient feature information learning by aggregating neighborhood information. Furthermore, our model also alleviates data sparsity due to our deep learning feature information. Finally, empirical evaluations with several competitive baseline models on three real-world datasets reveal the superior performance of UIRS-GNN.
A randomized, double-blind, placebo-controlled, cross-over pilot study to investigate the efficacy of Rest-ZZZ formula in healthy participants with occasional sleeplessness
Authors: Moulin Marc , Lewis Erin D. , Crowley David C. , Langston Jamie , Evans Malkanthi 
Published: August 2022

AbstractThe purpose of this study was to investigate the safety and efficacy of Rest-ZZZ, a natural sleep supplement, in healthy adults without a diagnosed sleep disorder. This randomized, double-blind, placebo-controlled, cross-over study consisted of three 7-day supplementation periods with either Rest-ZZZ, Diphenhydramine (DPH), or Placebo, with a 7-day washout. Twenty-seven participants were randomized to one of three intervention sequences and the Healthy People Sleep Quality Index (HPSQI), Quality of Life (QoL), and Profile of Mood States (POMS) questionnaires were assessed at the beginning and end of each supplementation period. Rest-ZZZ and Placebo showed improvements in sleep-related QoL (p ≤ 0.044) and total mood disturbance (TMD) (p =  ≤ 0.028). Fatigue–Inertia was reduced by all study products (p ≤ 0.031). DPH did not result in any significant improvements on sleep quality parameters. A subgroup analysis of participants ≤ 45 years found enhanced efficacy of Rest-ZZZ and improvement in sleep-related QoL vs. Placebo (p = 0.007), as well as improvements in sleep duration (p = 0.007), sleep debt (p = 0.011), and sleep-related QoL (p = 0.033). DPH supplementation resulted in significant improvement in only sleep debt (p = 0.038). Rest-ZZZ had a safe hematology and chemistry profile. Rest-ZZZ resulted in restful sleep that generated corresponding improvements in sleep-related QoL and overall mood. Rest-ZZZ is an efficacious sleep supplement with a favorable safety profile, particularly in those aged 25–45 years.
Networks of international football: communities, evolution and globalization of the game
Authors: Li Yang , Mateos Gonzalo 
Published: August 2022

AbstractAs the most popular sport around the globe, the game of football has recently intrigued much research interest to explore and distill useful and appealing information from the sport. Network science and graph-centric methods have been previously applied to study the importance of football players and teams. In this paper, for the first time we study the macroscopic evolution of the football society from a complex network point of view. Football game records within a time window of over a century were collected and expressed in a graph format, where participant teams are represented by graph nodes and the games between them are the graph edges. We carry out community detection and temporal analysis to reveal the dynamic features and the community structures embedded within the football network, offering the evidence of a continuously expanding football society. Spatio-temporal analysis is also implemented to unveil the temporal states that represent distinct development stages in the football history. Our analysis suggests that the evolution of the game receives considerable impact not only from major sport events, but also from multiple social and political incidents. The game of football and its evolution reflect significant historical transitions and turning points, and can provide a novel perspective for the study of the worldwide globalization process.
Metacognition, Desire Thinking and Craving in Problematic Video Game Use
Authors: Bonner Jack , Allen Andrew , Katsikitis Mary , Love Steven , Kannis-Dymand Lee 
Published: August 2022

Abstract
Gaming addiction is now a prevalent and persistent phenomenon in modern society. This study aimed to assess the metacognitive model of desire thinking and craving in explaining problematic video game use and to examine the role that specific motives for gaming have towards positive metacognitions about desire thinking. A sample of participants (N = 186) aged between 18 and 58 years old, who were primarily male (81.8%), played online games and met the inclusion criteria for Internet gaming disorder, completed an online survey, and the data were cross-sectionally analysed. Specifically, path analysis confirmed that the metacognitive model of desire thinking and craving was predictive of gaming-related cognitions and cravings. Furthermore, an expanded model, which included measures of psychopathology, suggested that anger and anxiety may magnify the driving metacognitive and cognitive processes underlying cravings. Finally, a multiple regression revealed that gaming for escapism, coping and skill development associated with stronger positive metacognitions about desire thinking. The findings of this study reinforced the importance of understanding motive when exploring problematic gaming and provided support for the role of metacognitions about desire thinking in shaping video game use cravings. Such findings could benefit both research and practice in their approach to understanding and intervening on problematic gaming behaviours.
Comparison of Peridynamics and Lattice Dynamics Wave Dispersion Relationships
Authors: Oterkus Selda , Oterkus Erkan 
Published: August 2022

AbstractPeridynamics is a non-local continuum formulation and material points inside an influence domain, named horizon, can interact with each other. Peridynamics also has a capability to represent wave dispersion which is observed in real materials especially at shorter wave lengths. Therefore, wave frequency and wave number have a nonlinear relationship in peridynamics. In this study, we present wave dispersion characteristics of peridynamics and compare with lattice dynamics to determine the horizon size for different materials including copper, gold, silver and platinum through an iterative process for the first time in the literature. This study also shows the superiority of peridynamics over classical continuum mechanics by having a length scale parameter, horizon, which allows peridynamics to represent the entire range of dispersion curves for both short and long wave lengths as opposed to limitation of classical mechanics to long wave lengths.
Evaluating stakeholder engagement in collaborative research: co-producing knowledge for climate resilience
Authors: Singletary Loretta , Koebele Elizabeth , Evans William , Copp Christopher J. , Hockaday Shelby , Rego Jesse Jo 
Published: August 2022

AbstractThis study describes the development, implementation, and evaluation of an initial stakeholder engagement experience designed to facilitate knowledge co-production. The engagement experience is part of a collaborative research framework (CRF), which facilitates iterative interactions among diverse researchers and stakeholders around the topic of enhanced climate resilience. Here, we describe the: (1) need for and development of a CRF as it relates to stakeholder engagement and knowledge co-production; (2) implementation of the initial engagement experience, focused around individual semi-structured interviews, in the context of a snow-dependent, arid river basin where historical water over allocation, climate change, and diversified water uses challenge the basin’s resilience; and (3) formative evaluation of the engagement experience using an online survey to inform the development of more effective engagement practices. Results of the evaluation indicate that, after participating, most stakeholders understand and recognize the importance of research goals, demonstrate positive attitudes toward collaborative research and researchers, view their contribution of knowledge and expertise as critical to research, and perceive researchers as eager to use their expertise. Moreover, stakeholders emphasized various context-specific goals for knowledge co-production, such as finding innovative ways to adapt to increased competition for diminishing water supplies. To achieve these goals, stakeholders suggested researchers learn about their basin, including its water allocation history and agricultural practices. These results highlight the importance of centering stakeholder engagement experiences within a broader CRF and formatively evaluating such experiences to adapt them to achieve research goals.
Grid Performance Enhancement Study Under Restricted Placement and Sizing of PV Distributed Generation
Authors: Soliman Ayman. M. , Emara Safaa. M. , Nashed Maged N. F. 
Published: August 2022

AbstractIncreasing power demand and encouragement of renewable energy generation appear the importance of Distributed Generation (DG). The Photovoltaic (PV) is considered a resource of distributed generation. The integration of PV-DG unit into the grid has a significant effect on reducing real power losses, operating costs, and enhancing voltage stability. Most of the current researches handle this issue from the point of optimizing the PV-DG unit size and location to enhance the grid performance. In fact and due to optimal design criteria, PV location and size are selected, implemented, and no luxury for a change. In this research, specific selection of sizing and placement of PV-DG unit in radial distribution systems was previously determined and installed. The main goal of this research is to study the grid performance enhancement under these conditions. IEEE 15 bus system has been taken to perform this study based on a MATLAB environment. The idea of this study is to analyze the grid performance when connecting the PV-DG unit to each bus across the transmission line to find the optimally connected bus considering the available transfer capacity of the existing network. For optimal grid performance enhancement, results show that PV-DG unit fragmentation into small units to be connected to all buses was the best solution.
A Critical Review of Communications in Multi-robot Systems
Authors: Gielis Jennifer , Shankar Ajay , Prorok Amanda 
Published: August 2022

Abstract
Purpose of Review
This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to accomplish tasks, and of networking technologies that have enabled newer and more advanced multi-robot systems.

Recent Findings
Through this review, we identify a dearth of work that holistically tackles the problem of co-design and co-optimization of robots and the networks they employ. We also highlight the role that data-driven and machine learning approaches play in evolving communication pipelines for multi-robot systems. In particular, we refer to recent work that diverges from hand-designed communication patterns, and also discuss the “sim-to-real” gap in this context.

Summary
We present a critical view of the way robotic algorithms and their networking systems have evolved, and make the case for a more synergistic approach. Finally, we also identify four broad Open Problems for research and development, while offering a data-driven perspective for solving some of them.
Identifying and Exploring Sustainability Determinants of Mental Health Recovery-Oriented Interventions: A Mixed Methods Study Protocol
Authors: Sofouli Eleni , Wiltsey-Stirman Shannon , Groleau Danielle , Perreault Michel , Piat Myra 
Published: August 2022

AbstractMental health recovery is the new paradigm in the mental health service delivery system worldwide. Recovery-oriented services go beyond traditional clinical care that is centered on symptom remission, aiming to help people: restore social connections with other individuals and the community; develop hope and optimism for the future; reconstruct an identity beyond that of a “mental patient”; discover meaning in life; and feel empowered to gain control over treatment (CHIME framework). Over the last ten years, several efforts at implementation of recovery-oriented interventions have been documented in the scientific literature. However, little attention has been given to their sustainability, even though it is reported that not all health interventions can fully sustain their activities beyond the initial implementation phase. The aim of this mixed methods case study is to better understand the factors that determine the sustainability of two recovery-oriented interventions (peer support and recovery training) after their roll-out in four organizations in Canada that provide community housing for adults with mental health challenges. Qualitative and quantitative data will be collected from managers, service providers, and implementation team members that oversaw the implementation process along with organizational documents. Data collection and analysis will be guided by the Consolidated Framework for Sustainability Constructs in Healthcare, the Framework for Reporting Adaptations and Modifications, and the Program Sustainability Assessment Tool. Findings will expand our current evidence base on the intersection of sustainability and mental health recovery interventions that remains under-explored.
The understanding of abstract concepts: a perspective from distributed models of conceptual representation
Authors: Khatin-Zadeh Omid , Farsani Danyal 
Published: August 2022

AbstractThis theoretical article looks at the process of understanding abstract concepts from the perspective of distributed models of conceptual representation. According to these models, meanings of concepts are essentially componential; that is, the meaning of any concept is represented by small units of meaning, which are called semantic features. Based on these models, this article suggests that scope of interpretation and range of associated semantic features are two key differences between abstract and concrete concepts. While abstract concepts are interpreted within wide scopes and in association with large sets of semantic features, concrete concepts are interpreted within narrower scopes and in association with relatively smaller sets of semantic features. Extending the discussion into the metaphoric understanding of abstract concepts in terms of concrete concepts, it is suggested that when an abstract concept is processed, the activation of low-level sub-features may take place in a variety of ways.
The role of procalcitonin and Clinical Pulmonary for Infection Score (CPIS) score to reduce inappropriate antibiotics use among moderate to severe coronavirus disease 2019 (COVID-19) pneumonia: A quasi-experimental multicenter study
Authors: Sathitakorn Ornnicha , Chansirikarnjana Siriththin , Jantarathaneewat Kittiya , Weber David J. , Warren David K. , Apisarnthanarak Piyaporn , Tantiyavarong Pichaya , Apisarnthanarak Anucha 
Published: August 2022

AbstractIn this quasi-experimental study, implementing a procalcitonin and Clinical Pulmonary Infection Score (CPIS) successfully reduced inappropriate antibiotic use among severely-to-critically ill COVID-19 patients, multidrug-resistant organisms, and invasive fungal infections during the intervention period in 2 medical centers. However, this strategy did not improve inappropriate antibiotic use among mildly-to-moderately ill COVID-19 patients.