bluuebunny/crossref_metadata_2025_split huggingface dataset:
Continuity of trajectories of autism symptom severity from infancy to childhood
Authors: Franchini Martina , Smith Isabel M. , Sacrey Lori , Duku Eric , Brian Jessica , Bryson Susan E. , Vaillancourt Tracy , Armstrong Vickie , Szatmari Peter , Roberts Wendy , Roncadin Caroline , Zwaigenbaum Lonnie 
Published: December 2022

BackgroundBehavioral symptom trajectories are informative of the development of young children at increased likelihood for autism spectrum disorder (ASD).MethodsDevelopmental trajectories of early signs were examined in a cohort of siblings of children diagnosed with ASD (n = 502) from 6 to 18 months using the Autism Observation Scale for Infants (AOSI), and from 18 months to 5–7 years using the Autism Diagnostic Observation Schedule (ADOS). Diagnostic outcomes for ASD at age 3 confirmed diagnosis for 137 children. We further analyzed the conditional probability of a switch from a trajectory measured with the AOSI to a trajectory measured with the ADOS as well as predictors from age 6 months.ResultsWe derived three early trajectories of behavioral signs (“Low,” “Intermediate,” and “Increasing”) from 6 to 18 months using the AOSI. We then derived three similar, distinct trajectories for the evolution of symptom severity between 18 and 60–84 months of age (Low, Intermediate, Increasing) using the ADOS. Globally, the Low trajectory included children showing fewer ASD signs or symptoms and the Increasing trajectory included children showing more severe symptoms. We also found that most children in the Low AOSI trajectory stayed in the corresponding ADOS trajectory, whereas children in an Increasing AOSI trajectory tended to transition to an Intermediate or Increasing ADOS trajectory. Developmental measures taken at 6 months (early signs of ASD, Fine Motor, and Visual Reception skills) were predictive of trajectory membership.ConclusionsResults confirm substantial heterogeneity in the early emergence of ASD signs in children at increased likelihood for ASD. Moreover, we showed that the way those early behavioral signs emerge in infants is predictive of later symptomatology. Results yield clear clinical implications, supporting the need to repeatedly assess infants at increased likelihood for ASD as this can be highly indicative of their later development and behavior.
Programmed acoustic tags reveal novel information on late‐phase marine life in Atlantic salmon, Salmo salar
Authors: Kennedy Richard , Rosell Robert , Hunter Ewan , del Villar‐Guerra Diego 
Published: December 2022

AbstractThis pilot study used programmed acoustic tags implanted into Salmo salar smolts, in conjunction with an extensive offshore marine receiver array, to investigate late‐stage migratory behaviour and survival of returning adult salmon. A total of 100 smolts were tagged in 2020, and a number of individuals were successfully detected as returning adults in 2021. After detection efficiency was accounted for, 5–9 adults were estimated to have returned to the offshore array c. 45 km from the river mouth. A total of three fish were subsequently detected in the river. Losses of between 40% and 66% were evident during the final stages of ocean migration, and one tagged fish provided direct evidence of a predation event.
A population‐based, electronic health record‐guided approach to improve the quality of dementia care
Authors: Reuben David B. , Rosenstein Hanina L. , Chen Kimberly , Pillai Ajaya , Lee David R. , Meshkat Sarah D. , Chen Grace I. 
Published: December 2022

AbstractBackgroundThe quality of care of the 6.5 million Americans living with dementia has been suboptimal, leading to worse outcomes and higher costs. Few health systems have formal systems in place to guide the care of these patients. To help improve the care of persons living with dementia, we developed and preliminarily evaluated the effectiveness of electronic health record (EHR)‐generated recommendations for patients with dementia.MethodsThis quality improvement study was conducted from October 2020 through June 2022 at a single academic healthcare system and included patients identified as having dementia on their problem list and their physicians. Ten (seven outpatient and three inpatient) algorithms based on clinical logic and evidence were embedded in an EHR system to generate specific recommendations based on combinations of utilization, diagnosis, and medications. The number of each type of recommendation generated, and orders for each type of recommendation were recorded, as well as physician's perceptions of this approach.ResultsThree thousand six hundred and nine recommendations on 763 patients were triggered by the algorithms in the outpatient setting, and 185 referrals were placed. The most common recommendations were for ongoing care through the UCLA Alzheimer's and Dementia Care program, Palliative Care, the Extensivist Clinic, Urogynecology, and Clinical Pharmacy. The most commonly acted upon by providers were recommendations for referral to Pharmacists and the UCLA Alzheimer's and Dementia Care program.The most common reason for not responding to specific recommendations was that these were not perceived as relevant to the patient. Compared to general medicine physicians, geriatricians felt more comfortable managing dementia care without a referral to a service (23% (95% CI 15%–34%) versus 3% (95% CI 0%–17%), p = 0.012) and less commonly felt the recommendation was appropriate (1% (95% CI 0%–7%) versus 13% (95% CI 4%–30%), p = 0.02).ConclusionsEHR‐generated algorithms can help guide patients with dementia to appropriate clinical services.
Life cycle greenhouse gas emissions of residential battery storage systems: A German case study
Authors: Fett Daniel , Fraunholz Christoph , Schneider Philipp 
Published: December 2022

AbstractBattery storage systems (BSSs) are popular as a means to increase the self‐consumption rates of residential photovoltaics. However, their environmental impact is under discussion, given the greenhouse gas emissions caused by the production and the efficiency losses during operation. Against this background, we carry out a holistic environmental assessment of residential BSSs by combining a partial life cycle assessment for the production phase with a detailed simulation of 162 individual German households for the operational phase. As regards the production phase, we only find small differences between the carbon footprints of different cell chemistries. Moreover, we can show that the balance of plant components have a comparable impact on the global warming potential as the cell modules. In terms of the operational phase, our simulations show that BSSs can compensate at least parts of their efficiency losses by shifting electricity demand from high‐emission to low‐emission periods. Under certain conditions, the operational phase of the BSSs can even overcompensate the emissions from the production phase and lead to a positive environmental impact over the lifetime of the systems. As the most relevant drivers, we find the exact emissions at the production stage, the individual household load patterns, the system efficiency, and the applied operational strategy.
Financial inclusion and food insecurity: Examining linkages and potential pathways
Authors: Koomson Isaac , Asongu Simplice A. , Acheampong Alex O. 
Published: December 2022

AbstractConsidering the worsening levels of food insecurity globally, studies exploring the link between financial inclusion and food insecurity have become imperative. This paper contributes to the literature by examining the effect of financial inclusion on food insecurity using a multidimensional index of financial inclusion and a food insecurity construct obtained from the Food Insecurity Experience Scale. Based on data extracted from the seventh round of the Ghana Living Standards Survey, our preferred endogeneity‐corrected results indicate that improvements in financial inclusion is associated with a reduction in food insecurity. This finding is consistent across different conceptualisations of food insecurity, alternative weighting schemes and cut‐offs for the financial inclusion index and different quasi‐experimental methods. Financial inclusion is mainly effective in reducing food insecurity in male‐headed and rural‐located households. Our findings reveal that entrepreneurship is an important pathway through which financial inclusion influences food insecurity.
Patients' right to know: A scoping review
Authors: Inkeroinen Saija , Virtanen Heli , Stolt Minna , Leino‐Kilpi Helena 
Published: December 2022

AbstractAims and ObjectivesTo analyse research‐based evidence about patients' right to know from their own perspective to promote ethically high‐quality nursing and to identify future research areas.BackgroundPatients' right to know is a fundamental right. Although of topical research interest, the current state of scientific evidence on patients' right to know has not been reviewed.DesignA scoping review according to the methodological framework by Arksey & O'Malley and the Preferred Reporting Items for Systematic reviews and Meta‐Analyses extension for Scoping Reviews.MethodsIn June 2022, a literature search was conducted in the Ovid Medline, CINAHL and Cochrane Library databases. The inclusion criteria were peer‐reviewed, empirical studies on the right to know with samples comprising adult patients. Data were analysed with inductive content analysis, and methodological quality was assessed with Mixed Methods Appraisal Tool.ResultsOut of 2658 identified reports, 12 were selected for analysis. Based on the results, the research on patients' right to know can be classified into two main content categories: (1) expectations of the right and (2) realisation of the right. In the quality assessment, most of the reports did not meet all the quality criteria, the most common deficits being related to instrumentation and risk of bias.ConclusionsResearch‐based evidence on patients' right to know provided a general insight into expectations and realisation of the right to know and not to know. The results indicate a need for continued efforts for novel approaches with high‐quality methodological choices in future studies.Relevance to Clinical PracticeNurses make constantly ethical decisions: The findings of this study can be useful for their decision‐making and understanding of the patient's perspective on knowledge issues, and therefore, support ethically high‐quality patient education.Patient or Public ContributionNo direct patient or public contribution to the review.
Influence of pre‐grazing herbage mass on bite mass, eating behaviour, and dairy cow performance on pasture
Authors: Rombach Markus , Südekum Karl‐Heinz , Schori Fredy 
Published: December 2022

AbstractKnowledge about individual daily herbage dry matter (DM) intake (DMI) helps identifying efficient dairy cows and adapting supplementation better to herbage intake and nutrient requirements of grazing dairy cows. With the aid of behavioural characteristics, raw data recorded with the RumiWatch (RW) system and processed with the RW converter 0.7.3.31 (C31), estimation of herbage DMI may be possible. First, C31, which allows differentiation of prehension bites and mastication chews, was validated through direct observation of behavioural characteristics and compared to the previous RW converter 0.7.3.11 (C11). Further, the influence of a low and high pre‐grazing herbage mass (HM), with the same target herbage allowance (HA), on bite mass, DMI, number of prehension bites, and milk production was investigated. In total, 24 lactating Holstein cows were pairwise allotted to one of two HM treatments. The cows received a new pasture paddock twice per day with a daily target HA of 22 kg DM per cow/day. On average, low HM (LHM) and high HM (HHM) paddocks had an HM of 589 and 2288 kg DM/ha, respectively, above 6.7 click units (1 CU = 0.5 cm). Overall, LHM cows produced 2.7 kg/day more milk and 2.5 kg/day more energy‐corrected milk, had the same herbage DMI and a similar prehension bite mass. The averaged bite mass per week was 0.49 g DM/bite (LHM) or 0.47 g DM/bite (HHM), respectively. A longer eating time (617 vs. 559 min/day) and a shorter rumination time (297 vs. 365 min/day) were observed for the LHM cows compared with the HHM cows. The validation of the RW showed similar results for C11 and C31 apart from prehension bites, where C31 showed a mean absolute deviation of 12.4%. Pre‐grazing HM had no effect on relevant behavioural characteristics for prospective intake estimation, namely, bite mass and number of prehension bites.
How religion affects sleep health: exploring the perspectives of religious Muslims and Jews in Israel
Authors: Zarhin Dana 
Published: December 2022

SummaryFew empirical studies have explored the links between sleep and religion and no research has examined how religious individuals view these links. This article contributes to the literature by drawing on in‐depth interviews with 31 midlife Israeli Muslims and Jews who describe themselves as religious or very religious. Findings indicate that respondents shared the view that sleep is important for health and wellbeing, as well as for religious practice and the proper worship of God. Their accounts clarified that religious observance entails a set of social rules and prescriptions as well as beliefs that may affect sleep behaviour and sleep outcomes. Traditional prayer times affected sleep duration for observant Muslims and Jews because respondents woke up early for prayer but could not always retire early enough so as to obtain a sufficient amount of sleep. Religion also dictated a preferred sleep position, to which participants became accustomed and found to be helpful. Respondents maintained that their deep faith in God and the practice of praying helped reduce stress, which contributed to sleep quality. However, among Muslims, missing prayers could arouse feelings of guilt and unease, thus affecting sleep quality. The article concludes that religion affects the sleep of both Muslims and Jews, but these effects vary by how individuals practice their religion and by how religiosity intersects with other social categories, such as gender. Future studies could enrich understanding of the social determinants of sleep by designing research inspired by lay persons’ insights into the association between religion and sleep.
Sepsis and survival in critically ill calves: Risk factors and antimicrobial use
Authors: Pas Mathilde L. , Bokma Jade , Lowie Thomas , Boyen Filip , Pardon Bart 
Published: December 2022

AbstractBackgroundSepsis is a life‐threatening disease for which critically important antimicrobials (CIA) frequently are used. Diagnostic and therapeutic guidelines for sepsis and critically ill calves are largely lacking.ObjectivesIdentify factors associated with mortality in critically ill calves and describe bacteria obtained from blood cultures of critically ill calves with sepsis and their antimicrobial resistance.AnimalsTwo‐hundred thirty critically ill calves, mainly Belgian Blue beef cattle.MethodsRetrospective cohort study. Logistic regression, survival analysis, and decision tree analysis were used to determine factors associated with mortality.ResultsOf the critically ill calves, 34.3% had sepsis and 61.3% died. The final survival model indicated that calves with sepsis (hazard risk [HR]: 1.6; 95% confidence interval [CI]: 1.0‐2.5;P = .05), abnormal behavior (HR: 2.3; 95% CI: 1.3‐4.0;P = .005), and hypothermia (HR: 0.82; 95% CI: 0.72‐0.95;P = .01) had a significantly higher mortality risk. In a second survival model, hypothermia (HR: 0.87; 95% CI: 0.78‐0.96;P = .004) and hypoglycemia (HR: 2.2; 95% CI: 1.5‐3.3;P < .001) were risk factors for mortality. Decision tree analysis emphasized the importance of behavior, hypochloremia, hypoglycemia, hyperkalemia, and lung ultrasonography for mortality risk.Escherichia coli(30.6%) was most frequently isolated from blood cultures, of which 90.9% were multidrug resistant. Inappropriate use of antimicrobials was frequent for penicillin, amoxicillin, and sulfamethoxazole/trimethoprim, but less for CIA.Conclusions and Clinical ImportanceMany critically ill calves have sepsis, which increases mortality risk. Bacteria involved are often resistant to first‐intention antimicrobials but less resistant to CIA. The other identified risk factors for mortality can support therapeutic decision‐making.
Ellenberg‐type indicator values for European vascular plant species
Authors: Tichý Lubomír , Axmanová Irena , Dengler Jürgen , Guarino Riccardo , Jansen Florian , Midolo Gabriele , Nobis Michael P. , Van Meerbeek Koenraad , Aćić Svetlana , Attorre Fabio , Bergmeier Erwin , Biurrun Idoia , Bonari Gianmaria , Bruelheide Helge , Campos Juan Antonio , Čarni Andraž , Chiarucci Alessandro , Ćuk Mirjana , Ćušterevska Renata , Didukh Yakiv , Dítě Daniel , Dítě Zuzana , Dziuba Tetiana , Fanelli Giuliano , Fernández‐Pascual Eduardo , Garbolino Emmanuel , Gavilán Rosario G. , Gégout Jean‐Claude , Graf Ulrich , Güler Behlül , Hájek Michal , Hennekens Stephan M. , Jandt Ute , Jašková Anni , Jiménez‐Alfaro Borja , Julve Philippe , Kambach Stephan , Karger Dirk Nikolaus , Karrer Gerhard , Kavgacı Ali , Knollová Ilona , Kuzemko Anna , Küzmič Filip , Landucci Flavia , Lengyel Attila , Lenoir Jonathan , Marcenò Corrado , Moeslund Jesper Erenskjold , Novák Pavel , Pérez‐Haase Aaron , Peterka Tomáš , Pielech Remigiusz , Pignatti Alessandro , Rašomavičius Valerijus , Rūsiņa Solvita , Saatkamp Arne , Šilc Urban , Škvorc Željko , Theurillat Jean‐Paul , Wohlgemuth Thomas , Chytrý Milan 
Published: December 2022

AbstractAimsEllenberg‐type indicator values are expert‐based rankings of plant species according to their ecological optima on main environmental gradients. Here we extend the indicator‐value system proposed by Heinz Ellenberg and co‐authors for Central Europe by incorporating other systems of Ellenberg‐type indicator values (i.e., those using scales compatible with Ellenberg values) developed for other European regions. Our aim is to create a harmonized data set of Ellenberg‐type indicator values applicable at the European scale.MethodsWe collected European data sets of indicator values for vascular plants and selected 13 data sets that used the nine‐, ten‐ or twelve‐degree scales defined by Ellenberg for light, temperature, moisture, reaction, nutrients and salinity. We compared these values with the original Ellenberg values and used those that showed consistent trends in regression slope and coefficient of determination. We calculated the average value for each combination of species and indicator values from these data sets. Based on species’ co‐occurrences in European vegetation plots, we also calculated new values for species that were not assigned an indicator value.ResultsWe provide a new data set of Ellenberg‐type indicator values for 8908 European vascular plant species (8168 for light, 7400 for temperature, 8030 for moisture, 7282 for reaction, 7193 for nutrients, and 7507 for salinity), of which 398 species have been newly assigned to at least one indicator value.ConclusionsThe newly introduced indicator values are compatible with the original Ellenberg values. They can be used for large‐scale studies of the European flora and vegetation or for gap‐filling in regional data sets. The European indicator values and the original and taxonomically harmonized regional data sets of Ellenberg‐type indicator values are available in the Supporting Information and the Zenodo repository.
Root exudation of carbon and nitrogen compounds varies over the day–night cycle in pea: The role of diurnal changes in internal pools
Authors: Tixier Aude , Forest Marion , Prudent Marion , Durey Vincent , Zwieniecki Maciej , Barnard Romain L. 
Published: December 2022

AbstractRhizodeposition is the export of organic compounds from plant roots to the soil. Carbon allocation towards rhizodeposition has to be balanced with allocation for other physiological functions, which depend on both newly assimilated and stored nonstructural carbohydrate (NSC). To test whether the exudation of primary metabolites scales with plant NSC status, we studied diurnal dynamics of NSC and amino acid (AA) pools and fluxes within the plant and the rhizosphere. These diurnal dynamics were measured in the field and under hydroponic‐controlled conditions. Further, C‐limiting treatments offered further insight into the regulation of rhizodeposition. The exudation of primary metabolites fluctuated diurnally. The diurnal dynamics of soluble sugars (SS) and AA concentrations in tissues coincided with exudate pool fluctuations in the rhizosphere. SS and AA pools in the rhizosphere increased with NSC and AA pools in the roots. C starvation treatments offset the balance of exudates: AA exudate content in the rhizosphere significantly decreased while SS exudate content remained stable. Our results suggest that rhizodeposition is to some extent controlled by plant C:N status. We propose that SS exudation is less controlled than AA exudation because N assimilation depends on controlled C supply while SS exudation relies to a greater extent on passive diffusion mechanisms.
Post coronavirus disease 2019 condition in children at a children's hospital in Japan
Authors: Horikoshi Yuho , Shibata Meiwa , Funakoshi Hanako , Baba Shintaro , Miyama Sahoko 
Published: December 2022

AbstractBackgroundAcute coronavirus disease 2019 (COVID‐19) is associated with chronic symptoms. These have been termed the “post COVID‐19 condition.” The data on this condition in children are still limited. We therefore aimed to elucidate the characteristics of this post COVID‐19 condition.MethodsChildren referred to a long COVID‐19 clinic were included at Tokyo Metropolitan Children's Medical Center between October 2021 and July 2022. Children with another diagnosis and those who failed to meet criteria for post COVID‐19 condition were excluded. Demographic and clinical data were collected retrospectively.ResultsOf 33 referrals, nine were excluded, and 24 fulfilled the criteria for post COVID‐19 condition. The median age and percentage of girls were 12.5 (IQR: 11–13) years and 29.2%, respectively. All the patients had mild, acute COVID‐19. Dysgeusia and brain fog was observed more frequently during the Delta and Omicron variant periods, respectively. School absenteeism >4 weeks was observed in 41.6% of the patients. Common symptoms included malaise, headache, dysgeusia, and dysosmia. The median duration of post COVID‐19 condition was 4.5 (IQR: 2.8–5.2) months. Pain management and counseling using the pacing approach were the most commonly offered treatments. Symptom resolution and improvement was observed in 29.2% and 54.2% of the patients, respectively.ConclusionsOne third of the patients referred for long COVID did not fit the definition of the post COVID‐19 condition. After a median follow up of 4.5 months, the majority of the cases resolved or improved.