bluuebunny/crossref_metadata_2025_split huggingface dataset:
The life cycle of conspiracy theories: evidence from a long-term panel survey on conspiracy beliefs in Italy
Authors: Mancosu Moreno , Vassallo Salvatore 
Published: February 2022

AbstractConspiracy theories are gaining increasing interest in academic and public debate. A broad research agenda focused on the socio-political and psychological determinants of conspiracy theory beliefs, on the effect of social media as a new channel of dissemination, on the role played by populist leaders in explaining those theories, and on the impact on social and political outputs. This introduction to the special issue proposes a summary of this growing literature and addresses an aspect that is still under-investigated: the life cycle of conspiracy theories. Previous empirical studies investigated the topic either in a cross-sectional fashion or by employing short-term panels – focusing on how conspiracy theories change over a small period (e.g., before and after an election). Using panel survey data, we take a medium-term approach. We base our investigation on a longitudinal study composed of two survey waves, administered in 2016 and late 2020. Respondents were asked to rate the plausibility of different ‘classic’ conspiracy theories. This allows comparing changes in beliefs in those conspiracy theories over this 4-year time frame. Results show that believes in these theories decrease over time. Furthermore, this decline can only be marginally explained by individual socio-demographic characteristics or political orientations. After thoroughly describing these differences over time, we speculate on why this decline occurs, mainly basing our argument on the role of the media landscape in shaping public opinion.
Mineral micronutrient status and spatial distribution among the Ethiopian population
Authors: Belay Adamu , Gashu Dawd , Joy Edward J. M. , Lark Murray R. , Chagumaira Christopher , Zerfu Dilnesaw , Ander Louise E. , Young Scott D. , Bailey Elizabeth H. , Broadley Martin R. 
Published: February 2022

AbstractMultiple micronutrient deficiencies are widespread in Ethiopia. However, the distribution of Se and Zn deficiency risks has previously shown evidence of spatially dependent variability, warranting the need to explore this aspect for wider micronutrients. Here, blood serum concentrations for Ca, Mg, Co, Cu and Mo were measured (n3102) on samples from the Ethiopian National Micronutrient Survey. Geostatistical modelling was used to test spatial variation of these micronutrients for women of reproductive age, who represent the largest demographic group surveyed (n1290). Median serum concentrations were 8·6 mg dl−1for Ca, 1·9 mg dl−1for Mg, 0·4 µg l−1for Co, 98·8 µg dl−1for Cu and 0·2 µg dl−1for Mo. The prevalence of Ca, Mg and Co deficiency was 41·6 %, 29·2 % and 15·9 %, respectively; Cu and Mo deficiency prevalence was 7·6 % and 0·3 %, respectively. A higher prevalence of Ca, Cu and Mo deficiency was observed in north western, Co deficiency in central and Mg deficiency in north eastern parts of Ethiopia. Serum Ca, Mg and Mo concentrations show spatial dependencies up to 140–500 km; however, there was no evidence of spatial correlations for serum Co and Cu concentrations. These new data indicate the scale of multiple mineral micronutrient deficiency in Ethiopia and the geographical differences in the prevalence of deficiencies suggesting the need to consider targeted responses during the planning of nutrition intervention programmes.
Influence of sugar consumption from foods with different degrees of processing on anthropometric indicators of children and adolescents after 18 months of follow-up
Authors: Barreto Jamile Rafaela Pereira da Silva , Assis Ana Marlúcia de Oliveira , de Santana Mônica Leila Portela , Pitangueira Jacqueline Costa Dias , Cunha Carla de Magalhães , Costa Priscila Ribas de Farias 
Published: February 2022

AbstractExcessive consumption of ultra-processed foods is associated with the development of metabolic changes in children and adolescents. However, the consumption of total sugars, monosaccharides and disaccharides present in these ultra-processed foods and other food groups and its association with anthropometric indicators must be evaluated. Therefore, this study aimed at analysing the influence of sugar consumption from foods with different degrees of processing on anthropometric indicators of children and adolescents after 18 months of follow-up. This cohort study was conducted among 492 children and adolescents aged 7–15 years. Information on food consumption and anthropometry was collected during three follow-up stages. NOVA classification was used for food categorisation. The influence of sugar consumption on the variation of anthropometric measurements over time was evaluated using generalised estimation equation models. During the analysis period, for each increase of 1 g/d in the consumption of total sugars and monosaccharides from ultra-processed foods, there was an increase of 0·002 kg/m2 (P = 0·030) and 0·001 kg/m2 (P = 0·019) in BMI/Age; increase of 0·073 (P < 0·001), 0·032 (P < 0·001) and 0·100 (P < 0·001) in the BMI/Age z-score; and increase of 0·001 cm (P = 0·001), 0·001 cm (P = 0·003) and 0·003 cm (P < 0·001) in waist circumference, with the consumption of total sugars, monosaccharides and disaccharides, respectively. Our study findings support the evidence that the consumption of total sugars, monosaccharides and disaccharides from ultra-processed foods is associated with weight gain and abdominal fat in children and adolescents, which may represent an important risk factor for excess weight in this age group.
Polyphenol-rich tart cherries (Prunus Cerasus, cv Montmorency) improve sustained attention, feelings of alertness and mental fatigue and influence the plasma metabolome in middle-aged adults: a randomised, placebo-controlled trial
Authors: Kimble Rachel , Keane Karen M. , Lodge John K. , Cheung William , Haskell-Ramsay Crystal F. , Howatson Glyn 
Published: February 2022

AbstractTart Montmorency cherries (MC) are a particularly rich source of anthocyanins and other polyphenols that have been shown to elicit antioxidant, anti-inflammatory and vasomodulatory actions. The current study aimed to determine the influence of chronic MC supplementation on cognitive function and mood. In a 3-month double-blinded, placebo-controlled parallel study, middle-aged adults (mean ± sd: 48 ± 6 years) were randomly assigned to either 30 ml twice daily of MC (n 25) or the same amount of an isoenergetic placebo (n 25). Cognitive function and mood were assessed before and after supplementation using a computerised cognitive task battery and visual analogue scales. Cerebral blood flow was also monitored by near-infrared spectroscopy during the task battery, and questionnaires were administered to determine subjective sleep and health status and plasma metabolomics were analysed before and after supplementation. After 3 months, the MC resulted in higher accuracy in digit vigilance (mean difference: 3·3, 95 % CI: 0·2, 6·4 %) with lower number of false alarms (mean difference: −1·2, 95 % CI: −2·0, −0·4) compared with the placebo. There was also a treatment effect for higher alertness (mean difference: 5·9, 95 % CI: 1·3, 10·5 %) and lower mental fatigue ratings (mean difference −9·5, 95 % CI: −16·5, −2·5 %) with MC. Plasma metabolomics revealed an increase in a number of amino acids in response to MC intake, but not placebo. These data suggest an anti-fatiguing effect of MC supplementation as well as the ability to improve sustained attention during times of high cognitive demand, this could be related to changes in amino acid metabolism.
The Leadership of Co-Production in Health and Social Care Integration in Scotland: A Qualitative Study
Authors: CONNOLLY JOHN , MUNRO ALISON , MACGILLIVRAY STEPHEN , MULHERIN TAMARA , TOMA MADALINA , GRAY NICOLA , ANDERSON JULIE 
Published: February 2022

AbstractThe involvement of citizens in the production and creation of public services has become a central tenet for administrations internationally. In Scotland, co-production has underpinned the integration of health and social care via the Public Bodies (Joint Working) (Scotland) Act 2014. We report on a qualitative study that examined the experiences and perspectives of local and national leaders in Scotland on undertaking and sustaining co-production in public services. By adopting a meso and macro perspective, we interviewed senior planning officers from eight health and social care partnership areas in Scotland and key actors in national agencies. The findings suggest that an overly complex Scottish governance landscape undermines the sustainability of co-production efforts. As part of a COVID-19 recovery, both the implementation of meaningful co-production and coordinated leadership for health and social care in Scotland need to be addressed, as should the development of evaluation capacities of those working across health and social care boundaries so that co-production can be evaluated and report to inform the future of the integration agenda.
Conditional Solidarity - Attitudes Towards Support for Others During the 2020 COVID-19 Pandemic
Authors: GANDENBERGER MIA K. , KNOTZ CARLO M. , FOSSATI FLAVIA , BONOLI GIULIANO 
Published: February 2022

AbstractThe COVID-19 pandemic presents a unique opportunity to study how humans allocate scarce resources in times of hardship. We study public preferences regarding who should get access to government aid for the self-employed, a bed in the intensive care unit, and permission to cross the border using original conjoint survey experiments administered to an incentivised online panel in Switzerland during the first and second waves of the pandemic in 2020. We find that across the three areas, even in extraordinary circumstances such as the COVID-19 pandemic, evaluations of deservingness to aid and support are still based on an underlying logic of conditional solidarity and identity: in all experiments, contributing to the community, be it through past actions and contributions or through current efforts, plays a crucial role in determining an individual’s deservingness, as does their nationality (and legal status) with nationals being perceived as more deserving than non-nationals.
JumpSTART Triage Protocol in Disaster Pediatric Patients: A Systematic Literature Review
Authors: Stéfani Giovanna M. , de Melo Murilo E. , Zardeto Heloísa N. , Costa Victor S. L. P. , Lima Fabiana S. , Cola Maíra 
Published: February 2022

AbstractIntroduction:In a mass-casualty incident (MCI) involving children, there is a need to apply accurate triage tools in order to help those who require important care, and at the same time, to avoid unnecessary use of resources. Thus, it is discussed which would be the best triage device to use in these situations. One of the most used is a modification of Simple Triage and Rapid Treatment, JumpSTART, whose performative quality this review focuses on.Study Objective:This review sought to compare the performance parameters of JumpSTART with other triage algorithms used in pediatric disaster victims.Methods:This systematic review was performed according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and registered with the PROSPERO database of systematic reviews with the number CRD42021258415. The last update of the search in the databases was on August 12, 2021 and resulted in six documents to be analyzed. The inclusion criteria included the peer-reviewed academic papers in English, Portuguese, Spanish, and Italian languages, and the databases used were PubMed, Scopus, MEDLINE/Bireme (Virtual Library of Health), Web of Science, and CINAHL, which executes the query on the topic, keywords, or abstracts. Also to be included, documents that were available with full-text access through CAPES, Google, or Google Scholar. Books, non-academic research, and content in languages other than the presented ones were represented as exclusion criteria. The Joanna Briggs Institute (JBI) checklists were used to evaluate the methodological quality of the retrieved studies. The results were presented through narrative synthesis. This review was not funded.Results:Of the collected publications, five articles were used to carry out this review, with the addition of an extra article captured by citation tracking. The findings from the obtained results were that JumpSTART was the preferred tool and presented the fastest speed of use. Only one of the five studies that dealt with accuracy showed JumpSTART as the most accurate algorithm, while three of the other four showed its inferiority in most aspects. In one study, no significant difference was observed amongst the chosen protocols.Conclusions:There is insufficient evidence to validate JumpSTART as a universal triage tool, given the disparities in the results obtained from the comparisons. No tool performed satisfactorily well, therefore there is an urgent need to create a reliable algorithm.
National electronic primary health care database in monitoring performance of primary care in Kyrgyzstan
Authors: Laatikainen Tiina , Inglin Laura , Chonmurunov Ilyas , Stambekov Bakhtiar , Altymycheva Aliina , Farrington Jill L. 
Published: February 2022

Abstract

Aim:
The aim of this study was to assess the feasibility of the national electronic primary health care (PHC) database in Kyrgyzstan in producing information on the disease burden of the patient population and on the processes and quality of care of noncommunicable diseases (NCDs) in PHC.

Background:
Strengthening of the PHC is essential for low- and middle-income countries (LMICs) to tackle the increasing burden of NCDs. Capacity building and quality improvement require timely data on processes and quality of care.

Methods:
A data extraction was carried out covering four PHC clinics in Bishkek in 2019 to pilot the use of the national data for quality assessment purposes. The data included patient-level information on all appointments in the clinics during the year 2018 and consisted of data of altogether 48 564 patients. Evaluation indicators of the WHO Package of Essential NCD Interventions framework were used to assess the process and outcome indicators of patients with hypertension or diabetes.

Findings:
The extracted data enabled the identification of different patient populations and analyses of various process and outcome indicators. The legibility of data was good and the structured database enabled easy data extraction and variable formation on patient level. As an example of process and outcome indicators of those with hypertension, the blood pressure was measured at least on two occasions of 90% of women and 89% of men, and blood pressure control was achieved among 61% of women and 53% of men with hypertension. This study showed that a rather basic system gathering nationally patient-level data to an electronic database can serve as an excellent information source for national authorities. Investments should be made to develop electronic health records and national databases also in LMICs.
The Arctic Ocean in CMIP6 Models: Biases and Projected Changes in Temperature and Salinity
Authors: Khosravi Narges , Wang Qiang , Koldunov Nikolay , Hinrichs Claudia , Semmler Tido , Danilov Sergey , Jung Thomas 
Published: February 2022

AbstractWe examine the historical evolution and projected changes in the hydrography of the deep basin of the Arctic Ocean in 23 climate models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6). The comparison between historical simulations and observational climatology shows that the simulated Atlantic Water (AW) layer is too deep and thick in the majority of models, including the multi‐model mean (MMM). Moreover, the halocline is too fresh in the MMM. Overall our findings indicate that there is no obvious improvement in the representation of the Arctic hydrography in CMIP6 compared to CMIP5. The climate change projections reveal that the sub‐Arctic seas are outstanding warming hotspots, causing a strong warming trend in the Arctic AW layer. The MMM temperature increase averaged over the upper 700 m at the end of the 21st century is about 40% and 60% higher in the Arctic Ocean than the global mean in the SSP245 and SSP585 scenarios, respectively. Salinity in the upper few hundred meters is projected to decrease in the Arctic deep basin in the MMM. However, the spread in projected salinity changes is large and the tendency toward stronger halocline in the MMM is not simulated by all the models. The identified biases and projection uncertainties call for a concerted effort for major improvements of coupled climate models.
Electrochemical Properties of Peat Particulate Organic Matter on a Global Scale: Relation to Peat Chemistry and Degree of Decomposition
Authors: Teickner Henning , Gao Chuanyu , Knorr Klaus‐Holger 
Published: February 2022

AbstractMethane production in peatlands is controlled by the availability of electron acceptors for microbial respiration, including peat dissolved organic matter (DOM) and particulate organic matter (POM). Despite the much larger mass of POM in peat, knowledge on the ranges of its electron transfer capacities—electron accepting capacity (EAC), and electron donating capacity (EDC)—is scarce in comparison to DOM and humic and fulvic acids. Moreover, it is unclear how peat POM chemistry and decomposition relate to its EAC and EDC. To address these knowledge gaps, we compiled peat samples with varying carbon contents from mid to high latitude peatlands and analyzed their EACPOM and EDCPOM, element ratios, decomposition indicators, and relative amounts of molecular structures as derived from mid infrared spectra. Peat EACPOM and EDCPOM are smaller (per gram carbon) than EAC and EDC of DOM and terrestrial and aquatic humic and fulvic acids and are highly variable within and between sites. Both are small in highly decomposed peat, unless it has larger amounts of quinones and phenols. Element ratio‐based models failed to predict EACPOM and EDCPOM, while mid infrared spectra‐based models can predict peat EACPOM to a large extent, but not EDCPOM. We suggest a conceptual model that describes how vegetation chemistry and decomposition control polymeric phenol and quinone contents as drivers of peat EDCPOM and EACPOM. The conceptual model implies that we need mechanistic models or spatially resolved measurements to understand the variability in peat EDCPOM and EACPOM and thus its role in controlling methane formation.
Wind Profile in the Wave Boundary Layer and Its Application in a Coupled Atmosphere‐Wave Model
Authors: Wu Lichuan , Qiao Fangli 
Published: February 2022

AbstractCurrent models cannot capture well the impacts of wind waves on the atmospheric boundary layer. Here, we proposed a new turbulence closure model to estimate the wind stress in the wave boundary layer from viscous stress, shear‐induced turbulent stress, wind‐sea induced stress, and swell‐induced upward stress separately. The misalignment between the wind stress and wind is also considered in the model. Single‐column simulations indicate that (a) the swell‐induced upward momentum flux increases the surface wind and changes the wind direction, (b) the misalignment between the upward momentum flux and wind has a more significant impact on the wind profile than that from the downward momentum flux, and (c) the impact of swell‐induced upward momentum flux decreases with atmospheric convection. The proposed closure scheme was implemented into an atmosphere‐wave coupled model. A month‐long simulation over the ocean off California shows that the surface wind can be altered up to 5% by ocean surface gravity waves.
Comparison of MLT Momentum Fluxes Over the Andes at Four Different Latitudinal Sectors Using Multistatic Radar Configurations
Authors: Conte J. Federico , Chau Jorge L. , Liu Alan , Qiao Zishun , Fritts David C. , Hormaechea José L. , Salvador Jacobo O. , Milla Marco A. 
Published: February 2022

AbstractThe middle atmosphere over South America, particularly above the Andes mountain range, is known as one of the most dynamically active regions in the world. Previous studies have investigated wave dynamics at mesosphere and lower thermosphere (MLT) altitudes within this region, but only a handful of them have made use of continuous measurements provided by specular meteor radars (SMRs). Furthermore, it was only until recently that MLT horizontal wind gradients were estimated for the first time using Spread Spectrum Interferometric Multistatic meteor radar Observing Network (SIMONe) Argentina, a multistatic SMR network located in southern Patagonia. By observing larger amounts of meteors from different viewing angles, multistatic SMRs allow, among others, for more reliable momentum flux estimates. In this work, we explore and compare the summer and winter MLT momentum flux dynamics at low and middle latitude sectors over the Andes mountain range. We also investigate the intermittency of the total momentum flux over these sectors. For this purpose, we analyze measurements provided by four multistatic SMR networks: SIMONe Peru (12°S), CONDOR (30°S), SIMONe Argentina (49°S) and MMARIA‐SAAMER (54°S). We find that the momentum flux dynamics can change considerably over distances of only a few hundred km (e.g., southern Argentina). On the other hand, the contributions of large momentum fluxes to the total flux can be similar between regions separated by thousands of km (e.g., between Peru and southern Argentina).
Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges
Authors: Nelson Peter R. , Maguire Andrew J. , Pierrat Zoe , Orcutt Erica L. , Yang Dedi , Serbin Shawn , Frost Gerald V. , Macander Matthew J. , Magney Troy S. , Thompson David R. , Wang Jonathan A. , Oberbauer Steven F. , Zesati Sergio Vargas , Davidson Scott J. , Epstein Howard E. , Unger Steven , Campbell Petya K. E. , Carmon Nimrod , Velez‐Reyes Miguel , Huemmrich K. Fred 
Published: February 2022

AbstractObserving the environment in the vast regions of Earth through remote sensing platforms provides the tools to measure ecological dynamics. The Arctic tundra biome, one of the largest inaccessible terrestrial biomes on Earth, requires remote sensing across multiple spatial and temporal scales, from towers to satellites, particularly those equipped for imaging spectroscopy (IS). We describe a rationale for using IS derived from advances in our understanding of Arctic tundra vegetation communities and their interaction with the environment. To best leverage ongoing and forthcoming IS resources, including National Aeronautics and Space Administration’s Surface Biology and Geology mission, we identify a series of opportunities and challenges based on intrinsic spectral dimensionality analysis and a review of current data and literature that illustrates the unique attributes of the Arctic tundra biome. These opportunities and challenges include thematic vegetation mapping, complicated by low‐stature plants and very fine‐scale surface composition heterogeneity; development of scalable algorithms for retrieval of canopy and leaf traits; nuanced variation in vegetation growth and composition that complicates detection of long‐term trends; and rapid phenological changes across brief growing seasons that may go undetected due to low revisit frequency or be obscured by snow cover and clouds. We recommend improvements to future field campaigns and satellite missions, advocating for research that combines multi‐scale spectroscopy, from lab studies to satellites that enable frequent and continuous long‐term monitoring, to inform statistical and biophysical approaches to model vegetation dynamics.