bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Maternal Depression and Parent–Child Interactions on Risk of Parasitic Infections in Early Childhood: A Prospective Cohort in Benin
Authors: Garrison Amanda , Maselko Joanna , Saurel-Cubizolles Marie-Josèphe , Courtin David , Zoumenou Roméo , Boivin Michael J. , Massougbodji Achille , Garcia André , Alao Maroufou Jules , Cot Michel , Maman Suzanne , Bodeau-Livinec Florence 
Published: November 2021

AbstractObjectivesMaternal depression occurs in 13–20% of women from low-income countries, which is associated with negative child health outcomes, including diarrheal disease. However, few studies have investigated its impact on child risk of infectious disease. We studied the impacts of maternal depressive symptoms and parent–child interactions, independently, on the risk ofPlasmodium falciparummalaria and soil-transmitted helminth infection in Beninese children.MethodsOur population included mothers and children enrolled in a clinical trial during pregnancy (MiPPAD) in Benin. The Edinburgh Postnatal Depression Scale (EPDS) assessed maternal depressive symptoms and the home observation measurement of the environment (HOME) assessed parent–child interactions. Blood and stool sample analyses diagnosed child malaria and helminth infection at 12, 18, and 24 months. Negative binomial and Poisson regression models with robust variance tested associations.ResultsOf the 302 mother–child pairs, 39 (12.9%) mothers had depressive symptoms. Median number of malaria episodes per child was 3 (0–14) and 29.1% children had at least one helminth infection. Higher EPDS scores were associated with lower HOME scores; relative risk (RR) 0.97 (95% confidence interval (CI) 0.95, 0.99), particularly with lower acceptance, involvement, and variety subscales; RR 0.92 (95% CI 0.85, 0.99), RR 0.82 (95% CI 0.77, 0.88), RR 0.93 (95% CI 0.88, 0.99), respectively. However, neither exposure was associated with risk of parasitic infection in children.Conclusions for PracticeMaternal depressive symptoms are associated with poor parent–child interactions, particularly acceptance of behavior, involvement with children, and variety of interactions, but these exposures do not independently impact risk of parasitic infection in children.
A universal severity classification for natural disasters
Authors: Caldera H. Jithamala , Wirasinghe S. C. 
Published: November 2021

AbstractThe magnitude of a disaster’s severity cannot be easily assessed because there is no global method that provides real magnitudes of natural disaster severity levels. Therefore, a new universal severity classification scheme for natural disasters is developed and is supported by data. This universal system looks at the severity of disasters based on the most influential impact factor and gives a rating from zero to ten: Zero indicates no impact and ten is a worldwide devastation. This universal system is for all types of natural disasters, from lightning strikes to super-volcanic eruptions and everything in between, that occur anywhere in the world at any time. This novel universal severity classification system measures, describes, compares, rates, ranks, and categorizes impacts of disasters quantitatively and qualitatively. The severity index is useful to diverse stakeholder groups, including policy makers, governments, responders, and civilians, by providing clear definitions that help convey the severity levels or severity potential of a disaster. Therefore, this universal system is expected to avoid inconsistencies and to connect severity metrics to generate a clear perception of the degree of an emergency; the system is also expected to improve mutual communication among stakeholder groups. Consequently, the proposed universal system will generate a common communication platform and improve understanding of disaster risk, which aligns with the priority of the Sendai Framework for Disaster Risk Reduction 2015–2030. This research was completed prior to COVID-19, but the pandemic is briefly addressed in the discussion section.
China’s Lunar and Planetary Data System: Preserve and Present Reliable Chang’e Project and Tianwen-1 Scientific Data Sets
Authors: Zuo Wei , Li Chunlai , Zhang Zhoubin , Zeng Xingguo , Liu Yuxuan , Xiong Yaying 
Published: November 2021

AbstractData infrastructure systems such as the National Aeronautics and Space Administration (NASA) Planetary Data System (PDS), European Space Agency (ESA) Planetary Data Archive (PSA)and Japan Aerospace Exploration Agency (JAXA) Data Archive and Transmission System (DARTS) archive large amounts of scientific data obtained through dozens of planetary exploration missions and have made great contributions to studies of lunar and planetary science. Since China started lunar exploration activities in 2007, the Ground Research and Application System (GRAS), one of the five systems developed as part of China’s Lunar Exploration Program (CLEP) and the Planetary Exploration of China (PEC), has gradually established China’s Lunar and Planetary Data System (CLPDS), which involves the archiving, management and long-term preservation of scientific data from China’s lunar and planetary missions; additionally, data are released according to the policies established by the China National Space Administration (CNSA). The scientific data archived by the CLPDS are among the most important achievements of the CLEP and PEC and provide a resource for the international planetary science community. The system plays a key and important role in helping scientists obtain fundamental and original research results, advancing studies of lunar and planetary science in China, and improving China’s international influence in the field of lunar and planetary exploration. This paper, starting from CLEP and PEC mission planning, explains the sources, classification, format and content of the lunar and Mars exploration data archived in the CLPDS. Additionally, the system framework and core functions of the system, such as data archiving, management and release, are described. The system can be used by the international planetary science community to comprehensively understand the data obtained in the CLEP and PEC, help scientists easily access and better use the available data resources, and contribute to fundamental studies of international lunar and planetary science. Moreover, since China has not yet systematically introduced the CLPDS, through this article, international data organizations could learn about this advanced system. Therefore, opportunities for international data cooperation can be created, and the data service capability of the CLPDS can be improved, thus promoting global data sharing and application for all humankind.
Liveability Versus Sustainability in Spanish Cities: First Evidences Using Synthetic Indicators
Authors: Valcárcel-Aguiar Beatriz , Murias Pilar , Vecino-Aguirre Alexandre 
Published: November 2021

AbstractThe aim of liveable, sustainable cities has become one of the major challenges for urban planning. However, achieving both goals at the same time is no easy task, particularly when liveability and sustainability may be defined by certain elements that tend to be in conflict. The main goal of this work is to analyse the relationship between liveability and environmental sustainability within the context of Spanish urban spaces. To this end, we propose two synthetic indicators: one for liveability and the other for urban environmental sustainability. Each of these indicators is constructed using a technique based on goal programming. A bivariate analysis is carried out using these indicators, which allows us to compare the extent to which Spanish cities are liveable and sustainable. This analysis should be useful for urban planners when taking and implementing policy decisions. By comparing cities with similar profiles using a benchmarking system, it becomes possible to judge the margin for improvement in one attribute without detriment to the other. This benchmarking system also allows us to reveal the specific dimensions of liveability or sustainability for which there is the greatest opportunity for improvement.
An inventory model for multiple items assuming time-varying demands and limited storage
Authors: San-José Luis A. , González-De-la-Rosa Manuel , Sicilia Joaquín , Febles-Acosta Jaime 
Published: November 2021

AbstractA model for inventory systems with multiple products is studied. Demands of items are time-dependent and follow power patterns. Shortages are allowed and fully backlogged. For this inventory system, our findings provide the efficient inventory policy that helps decision-makers to obtain the initial inventory levels and the reorder points that maximize the profit per unit time. Moreover, when it is assumed that the warehouse used for the storage of products has a limited capacity, the optimal inventory policy is also developed. The model presented here extends some inventory systems studied by other authors. Numerical examples are introduced to illustrate the applicability of the theoretical results presented.
Die globale Corona-Pandemie im Spiegel persönlicher Postings – Plattformbezogene Kommunikationsmodi in Sozialen Medien
Authors: Eisewicht Paul , Steinmann Nico , Kortmann Pauline 
Published: November 2021

ZusammenfassungDer Beitrag typisiert anhand der Plattform Imgur.com und der dortigen User*innenbeiträge individuelle Erfahrungen wie auch kollektive Verhandlungen der Krisenhaftigkeit und des Umgangs damit im Zuge der COVID-19 Pandemie. Hierfür wird auf ein Sample aus 2 % der am besten bewerteten Beiträge (645 Postings), die unter dem Hashtag #coronavirus veröffentlicht wurden, zurückgegriffen. Die Beiträge wurden nach den Prinzipien der (Visuellen) Grounded Theory kodiert und angelehnt an eine Mixed-Method-Grounded-Theory deskriptiv-statistisch ausgewertet. Dabei ist nicht nur auffällig, welche Vielfalt an Medienformaten genutzt wird, sondern auch, dass hier eigene Beiträge neben weiterverwendeten Beiträgen von anderen Sozialen Medien stehen. Die Plattform selber ist damit auch ein Filter der Beiträge von anderen Plattformen. Zudem stehen persönliche Beiträge zum Umgang mit der Pandemie neben Verhandlungen politischer Kritik und informativen Postings. Entlang des ausgewerteten Datenmaterials lässt sich so zeigen, dass User*innen verschiedene Kommunikationszwecke, etwa den der Unterhaltung, der Information und des sozialen Zusammenschlusses, in schneller Abfolge auf derselben Plattform miteinander verbinden können. Ein Schwerpunkt der Analysen liegt auf dem Medienformat der Memes, die in sozialen Medien eine prominente Rolle einnehmen und die aufgrund ihrer Multimodalität und ihrem auf adaptiver Serialität beruhenden Verweisungszusammenhang Herausforderungen an den Prozess der Datenerhebung und -auswertung stellen, deren Reflexion anhand des vorliegenden Materials neue Impulse für die Erforschung von Memes und der Kommunikation auf Sozialen Medien liefert.
Decreased activity of piriform cortex and orbitofrontal hyperactivation in Usher Syndrome, a human disorder of ciliary dysfunction
Authors: Ferreira Sónia , Duarte Isabel Catarina , Paula André , Pereira Andreia C. , Ribeiro João Carlos , Quental Hugo , Reis Aldina , Silva Eduardo Duarte , Castelo-Branco Miguel 
Published: November 2021

AbstractUsher syndrome (USH) is a condition characterized by ciliary dysfunction leading to retinal degeneration and hearing/vestibular loss. Putative olfactory deficits in humans have been documented at the psychophysical level and remain to be proven at the neurophysiological level. Thus, we aimed to study USH olfactory impairment using functional magnetic resonance imaging. We analyzed differences in whole-brain responses between 27 USH patients and 26 healthy participants during an olfactory detection task with a bimodal odorant (n-butanol). The main research question was whether between-group differences could be identified using a conservative whole-brain approach and in a ROI-based approach in key olfactory brain regions. Results indicated higher olfactory thresholds in USH patients, thereby confirming the hypothesis of reduced olfactory acuity. Importantly, we found decreased BOLD activity for USH patients in response to odorant stimulation in the right piriform cortex, while right orbitofrontal cortex showed increased activity. We also found decreased activity in other higher-level regions in a whole brain approach. We suggest that the hyper activation in the orbitofrontal cortex possibly occurs as a compensatory mechanism after the under-recruitment of the piriform cortex. This study suggests that olfactory deficits in USH can be objectively assessed using functional neuroimaging which reveals differential patterns of activity both in low- and high-level regions of the olfactory network.
Columnar aerosol types and compositions over peninsular Southeast Asia based on long-term AERONET data
Authors: Wang Sheng-Hsiang , Huang Hsiang-Yu , Lin Che-Hsuan , Pani Shantanu Kumar , Lin Neng-Huei , Lee Chung-Te , Janjai Serm , Holben Brent N. , Chantara Somporn 
Published: November 2021

AbstractAerosol chemical components such as black carbon (BC) and brown carbon (BrC) regulate aerosol optical properties, which in turn drive the atmospheric radiative forcing estimations due to aerosols. In this study, we used the long-term measurements from AERONET (Aerosol Robotic Network) to better understand the aerosol types and composition with respect to their seasonal and spatial variabilities in peninsular Southeast Asia (PSEA, here defined as Vietnam, Cambodia, Thailand, Laos, and Myanmar). Two methods (i.e., aerosol type cluster and aerosol component retrieval) were applied to determine the aerosol type and chemical composition during the biomass-burning (BB) season. AERONET sites in northern PSEA showed a higher AOD (aerosol optical depth) compared to that of southern PSEA. Differences in land use pattern, geographic location, and weather regime caused much of the aerosol variability over PSEA. Lower single-scattering albedo (SSA) and higher fine-mode fraction (FMF) values were observed in February and March, suggesting the predominance of BB type aerosols with finer and stronger absorbing particles during the dry season. However, we also found that the peak BB month (i.e., March) in northern PSEA may not coincide with the lowest SSA once dust particles have mixed with the other aerosols. Furthermore, we investigated two severe BB events in March of 2014 and 2015, revealing a significant BrC fraction during BB event days. On high AOD days, although the BC fraction was high, the BrC fraction remained low due to lack of aerosol aging. This study highlights the dominance of carbonaceous aerosols in the PSEA atmosphere during the BB season, while also revealing that transported dust particles and BrC aerosol aging may introduce uncertainties into the aerosol radiative forcing calculation.
Intracerebral Proinflammatory Cytokine Increase in Surgically Evacuated Intracerebral Hemorrhage: A Microdialysis Study
Authors: Tobieson Lovisa , Gard Anna , Ruscher Karsten , Marklund Niklas 
Published: November 2021

Abstract
Background
Treatment options for spontaneous intracerebral hemorrhage (ICH) are limited. A possible inflammatory response in the brain tissue surrounding an ICH may exacerbate the initial injury and could be a target for treatment of subsequent secondary brain injury. The study objective was to compare levels of inflammatory mediators in the interstitial fluid of the perihemorrhagic zone (PHZ) and in seemingly normal cortex (SNX) in the acute phase after surgical evacuation of ICH, with the hypothesis being that a difference could be demonstrated between the PHZ and the SNX.

Methods
In this observational study, ten patients needing surgical evacuation of supratentorial ICH received two cerebral microdialysis catheters: one in the PHZ and one in the SNX that is remote from the ICH. The microdialysate was analyzed for energy metabolites (including lactate pyruvate ratio and glucose) and for inflammatory mediators by using a multiplex immunoassay of 27 cytokines and chemokines at 6–10 h, 20–26 h, and 44–50 h after surgery.

Results
A metabolic crisis, indicated by altered energy metabolic markers, that persisted throughout the observation period was observed in the PHZ when compared with the SNX. Proinflammatory cytokines interleukin (IL) 8, tumor necrosis factor α, IL-2, IL-1β, IL-6 and interferon γ, anti-inflammatory cytokine IL-13, IL-4, and vascular endothelial growth factor A were significantly higher in PHZ compared with SNX and were most prominent at 20–26 h following ICH evacuation.

Conclusions
Higher levels of both proinflammatory and anti-inflammatory cytokines in the perihemorrhagic brain tissue implies a complex role for inflammatory mediators in the secondary injury cascades following ICH surgery, suggesting a need for targeted pharmacological interventions.
Video Captioning Based on Both Egocentric and Exocentric Views of Robot Vision for Human-Robot Interaction
Authors: Kang Soo-Han , Han Ji-Hyeong 
Published: November 2021

AbstractRobot vision provides the most important information to robots so that they can read the context and interact with human partners successfully. Moreover, to allow humans recognize the robot’s visual understanding during human-robot interaction (HRI), the best way is for the robot to provide an explanation of its understanding in natural language. In this paper, we propose a new approach by which to interpret robot vision from an egocentric standpoint and generate descriptions to explain egocentric videos particularly for HRI. Because robot vision equals to egocentric video on the robot’s side, it contains as much egocentric view information as exocentric view information. Thus, we propose a new dataset, referred to as the global, action, and interaction (GAI) dataset, which consists of egocentric video clips and GAI descriptions in natural language to represent both egocentric and exocentric information. The encoder-decoder based deep learning model is trained based on the GAI dataset and its performance on description generation assessments is evaluated. We also conduct experiments in actual environments to verify whether the GAI dataset and the trained deep learning model can improve a robot vision system
Conceptual framework of a Global Yacht Positioning System in Poland
Authors: Rafał Kaźmierczak , Agnieszka Szczepańska , Grzegorz Grunwald , Cezary Kowalczyk , Dariusz Tanajewski 
Published: November 2021

AbstractThe sailing market continues to develop rapidly and has a high growth potential. Sailing is one of the most popular types of recreational activity in Poland due to an abundance of lakes, including the Great Masurian Lakeland Trail which received a special mention from UNESCO. The development of nautical tourism requires effective organizational and technical solutions. The absence of a public mooring information system in Poland’s inland harbors has prompted the development of the Global Yacht Positioning System (GYPS) for mobile devices. The design process was preceded by a survey of sailors and marina operators to identify their needs and expectations, as well as an inventory of marinas in the Polish region of Masuria. The developed prototype system is a mobile application that relies on data transmission, communication and satellite technologies. The proposed solution is a convenient tool that will facilitate the operations of inland harbors and improve navigation safety.
Resonating Minds—Emergent Collaboration Through Hierarchical Active Inference
Authors: Pöppel Jan , Kahl Sebastian , Kopp Stefan 
Published: November 2021

AbstractWorking together on complex collaborative tasks requires agents to coordinate their actions. Doing this explicitly or completely prior to the actual interaction is not always possible nor sufficient. Agents also need to continuously understand the current actions of others and quickly adapt their own behavior appropriately. Here we investigate how efficient, automatic coordination processes at the level of mental states (intentions, goals), which we call belief resonance, can lead to collaborative situated problem-solving. We present a model of hierarchical active inference for collaborative agents (HAICA). It combines efficient Bayesian Theory of Mind processes with a perception–action system based on predictive processing and active inference. Belief resonance is realized by letting the inferred mental states of one agent influence another agent’s predictive beliefs about its own goals and intentions. This way, the inferred mental states influence the agent’s own task behavior without explicit collaborative reasoning. We implement and evaluate this model in the Overcooked domain, in which two agents with varying degrees of belief resonance team up to fulfill meal orders. Our results demonstrate that agents based on HAICA achieve a team performance comparable to recent state-of-the-art approaches, while incurring much lower computational costs. We also show that belief resonance is especially beneficial in settings where the agents have asymmetric knowledge about the environment. The results indicate that belief resonance and active inference allow for quick and efficient agent coordination and thus can serve as a building block for collaborative cognitive agents.
Monitoring of Seahorse Populations, in the Ria Formosa Lagoon (Portugal), Reveals Steep Fluctuations: Potential Causes and Future Mitigations
Authors: Correia Miguel 
Published: November 2021

AbstractAfter seahorse population fluctuations were revealed in previous studies, probably due to changes in their natural habitat, this study sought to determine the current status of the populations of the two existing seahorse species in the Ria Formosa lagoon, by revisiting previously surveyed sites, while assessing the main drivers for detected changes. Hippocampus guttulatus densities decreased significantly between 2002 and 2008, followed by a significant increase between 2008 and 2012 and a significant decrease between 2012 and 2018. There were no significant differences in H. guttulatus populations between the 2002 and 2012 surveys, and between 2008 and 2018. As for Hippocampus hippocampus, there were no significant differences comparing densities from all the different dates. Among the different variables tested in this study, holdfast coverage seems to have played a crucial role in seahorse decline. It is important to further assess the impact on seahorse populations of two recently reported events, the illegal fishing of seahorses and the expansion of Caulerpa prolifera algae in the Ria Formosa lagoon, South Portugal. Considering the existent threats and the probable causes behind the recent seahorse abundance decline, seahorses’ low densities make them even more susceptible to local extirpation due to continuous threats, which emphasizes the dire urgency to put in place mitigative actions to contribute to the conservation of these iconic species.