bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic portrait of the Amazonian communities of Peru and Bolivia: The legacy of the Takanan‐speaking people
Authors: Sandoval José R. , Revollo Susana , Cuellar Cinthia , Lacerda Daniela R. , Jota Marilza S. , Fujita Ricardo , Santos Fabricio R. 
Published: May 2023

AbstractDuring the colonial period in South America, many autochthonous populations were affected by relocation by European missionary reductions and other factors that impacted and reconfigured their genetic makeup. Presently, the descendants of some “reduced” and other isolated groups are distributed in the Amazonian areas of Peru, Bolivia, and Brazil, and among them, speakers of Takanan and Panoan languages. Based on linguistics, these peoples should be closely related, but so far no DNA comparison studies have been conducted to corroborate a genetic relationship. To clarify these questions, we used a set of 15 short tandem repeats of the non‐recombining part of the Y‐chromosome (Y‐STRs) and mitochondrial DNA (mtDNA) control region sequence data. Paternal line comparisons showed the Takanan‐speaking peoples from Peru and Bolivia descended from recent common ancestors; one group was related to Arawakan, Jivaroan, and Cocama and the other to Panoan speakers, consistent with linguistics. Also, a genetic affinity for maternal lines was observed between some Takanan speakers and individuals who spoke different Amazonian languages. Our results supported a shared ancestry of Takanan, Panoan, Cocama, and Jivaroan‐speaking communities who appeared to be related to each other and came likely from an early Arawak expansion in the western Amazonia of South America.
Geriatric syndromes in the population older than 90 years: The prevalence and association with chronic diseases
Authors: Veizi Betül Gülsüm Yavuz , Taşcı İlker , Naharci Mehmet Ilkin 
Published: May 2023

AbstractObjectiveThe aim of this study was to explore the prevalence of geriatric syndromes and comorbid conditions, as well as their interrelationships, in individuals aged 90 years and over.MethodsThis study included participants aged 90 years and older who underwent a comprehensive geriatric assessment in a tertiary geriatric outpatient clinic. Demographic and clinical characteristics were obtained using the electronic medical records. The geriatric syndrome burden was calculated by adding each syndrome, which was then stratified into one of two groups based on the median value: no or low burden (<4) and high burden (≥4). The modified Charlson comorbidity index was used to determine chronic disease burden.ResultsA total of 235 participants (93.2 ± 2.7 years) were recruited in this study. The mean index score was 7.3, and 46% (n = 107) of participants had a high geriatric syndrome burden. The most common geriatric syndrome was incontinence (69%), followed by polypharmacy (60%) and depression (43%). When compared to patients without such a diagnosis, the prevalence of polypharmacy was significantly higher in patients diagnosed with hypertension, chronic kidney disease, cardiovascular disease, diabetes mellitus and chronic obstructive pulmonary disease (p = 0.02,p = 0.02,p < 0.001,p = 0.008,p = 0.007, respectively). However, no chronic disease was associated with geriatric syndrome burden.ConclusionsWe found that the burden of medical conditions in the older population over 90 years of age could influence general health status significantly, with a high prevalence of chronic diseases and geriatric syndromes.
Evaluating and comparing the clinical characteristics between adult‐onset and childhood‐onset atopic dermatitis in an Asian clinical cohort
Authors: Aponso Shashendra , Goon Rachel Hui Zhen , Zhao Xiahong , Yew Yik Weng 
Published: May 2023

AbstractBackgroundAtopic dermatitis (AD) is one of the most prevalent chronic inflammatory skin conditions. We aimed to describe the clinical features of adult‐onset and childhood‐onset AD in a multi‐ethnic Asian population.MethodsA retrospective study was performed of 188 patients with AD managed at a tertiary skin institution in Singapore. Patient demographics, clinical features and disease scores were analysed.ResultsClinical features related to pigmentary changes, such as orbital darkening and Dennie–Morgan folds were more prevalent among childhood‐onset AD patients than in adult‐onset AD patients. Similarly, features related to prolonged scratching or friction, such as anterior neck folds, perifollicular accentuation and infra‐auricular/infranasal fissuring were also more prevalent in childhood‐onset AD patients. Disease scores such as SCORAD and EASI were not different between patients with childhood versus adult‐onset disease.ConclusionThere were significant differences in clinical features between childhood‐onset and adult‐onset AD. Certain features are related to pigmentary changes and might be more accentuated in patients with skin of colour. Further studies are needed to understand how the different features might be clinically significant and related to the various AD endotypes and disease trajectories.
Comparison of wellbeing structures based on survey responses and social media language: A network analysis
Authors: Sametoğlu Selim , Pelt Dirk H. M. , Eichstaedt Johannes C. , Ungar Lyle H. , Bartels Meike 
Published: May 2023

AbstractWellbeing is predominantly measured through surveys but is increasingly measured by analysing individuals' language on social media platforms using social media text mining (SMTM). To investigate whether the structure of wellbeing is similar across both data collection methods, we compared networks derived from survey items and social media language features collected from the same participants. The dataset was split into an independent exploration (n = 1169) and a final subset (n = 1000). After estimating exploration networks, redundant survey items and language topics were eliminated. Final networks were then estimated using exploratory graph analysis (EGA). The networks of survey items and those from language topics were similar, both consisting of five wellbeing dimensions. The dimensions in the survey‐ and SMTM‐based assessment of wellbeing showed convergent structures congruent with theories of wellbeing. Specific dimensions found in each network reflected the unique aspects of each type of data (survey and social media language). Networks derived from both language features and survey items show similar structures. Survey and SMTM methods may provide complementary methods to understand differences in human wellbeing.
Editorial: coeliac disease follow‐up guided by gluten immunogenic peptides—are we there yet? Authors' reply
Authors: Garzón‐Benavides Marta , Rodríguez‐Herrera Alfonso , Sousa Carolina , Pizarro‐Moreno Angeles 
Published: May 2023

LINKED CONTENTThis article is linked to Garzón‐Benavides et al papers. To view these articles, visit https://doi.org/10.1111/apt.17417 and https://doi.org/10.1111/apt.17464
Editorial: adjuvanted recombinant zoster vaccine in adults with inflammatory bowel disease—time for universal recommendation? Authors' reply
Authors: Caldera Freddy , Spaulding Aaron C. , Hayney Mary S. , Farraye Francis A. 
Published: May 2023

LINKED CONTENTThis article is linked to Caldera et al papers. To view these articles, visit https://doi.org/10.1111/apt.17454 and https://doi.org/10.1111/apt.17490
COVID‐19 pandemic and the determinants of depressive symptoms among senior citizens of India: An empirical investigation
Authors: Ray Koustubh Kanti 
Published: May 2023

AbstractThe COVID‐19 pandemic inflicted multiple threats to individuals' physical, mental, and financial health conditions. The pandemic‐related restrictive behaviors pose serious consequences for public health and increase the risk of mental illness among individuals, particularly among older citizens. The combination of their pre‐existing illnesses, social isolation, COVID fear, and financial adversity frequently aggravates their condition and leads to depression and mental illness. Thus, the present study investigates the mental health status and the determinants of depressive symptoms among older adults of Bhubaneswar during the COVID pandemic context. The study used the Geriatric Depression Scale (GDS‐15) to measure their depressive symptoms. The social isolation parameter is measured with the De Jong Gierveld Loneliness Scale. Financial self‐efficacy, COVID‐19‐related psychological fear, and comorbidity health status are other determinants considered. A chi‐square test and multinomial logistic regression (MLR) models are adopted to find the probable risk factors that may influence depressive symptoms among older people. The results indicate that comorbidity health conditions, a social isolation mindset, and financial efficacy issues are the significant determinants that drive an older person towards different depression categories. The improvement of these influential factors can lead senior citizens to avoid any health emergency like COVID pandemic. In the event of a public health emergency, such as COVID pandemic, the government could use the study's findings to devise methods for assisting the elderly. Society as a whole should be aware of these findings, which can lead to depressive symptoms, and offer support to the elderly. Future research may concentrate on identifying the causes of depressive symptoms in different age groups or in the presence of specific comorbidity health conditions. Future research may also investigate the factors influencing depressive symptoms in a specific occupation.
Questioning children's activism: What is new or old in theory and practice?
Authors: Taft Jessica K. , O'Kane Claire 
Published: May 2023

AbstractThis article explores the multiple and shifting meanings of children's activism and addresses some of the potential benefits and disadvantages of framing a given set of practices as children's activism. After recognizing the potential dangers of overuse of the term, we offer our own conceptual understanding of children's activism, focusing on collectivity, challenging expectations and transforming power. Further, in questioning what is new and old in theory and practice on children's activism, we illustrate how scholars and practitioners supporting children's participation can benefit from established literature, strategies and tools from youth activism and broader work on social movements.
Land‐cover and land‐use change trajectory hopping facilitates estate‐crop expansion into protected forests in Indonesia
Authors: Xin Yu , Sun Laixiang , Hansen Matthew C. 
Published: May 2023

AbstractProtected areas (PAs) have been regarded as a critical strategy to protect natural forest (NF) and biodiversity. Estate‐crop expansion is an important driver of deforestation in Indonesia. Yet, little is known regarding the temporal dynamics of PA effectiveness in preventing estate‐crop expansion into NF. We employ Cox proportional hazard models and their extensions to characterize the dynamics of estate‐crop expansion into NF in Indonesia during 1996–2015. The results show that PA effectiveness in Sumatra decreased over time and became insignificant in 2012–2015. A multistate modeling analysis shows that hopping in land‐cover and land‐use change (LCLUC) trajectories with shrub and/or bare ground as intermediates has decreased PA effectiveness and facilitated the expansion. Preventing LCLUC trajectory hopping becomes crucial to biodiversity conservation because it tends to occur at lowland forest, diminishing natural habitat area and increasing NF isolation.
Characteristics associated with buying alcohol to‐go and for delivery during the first year of the COVID‐19 pandemic among a national sample of US adults
Authors: Trangenstein Pamela J. , Karriker‐Jaffe Katherine J. , Greenfield Thomas K. , Kerr William C. 
Published: May 2023

AbstractIntroductionThis study: (i) determined the population coverage of alcohol delivery and to‐go/carryout policies (i.e., policies permitting bars/restaurants to sell individual drinks for off‐site consumption) in 2019 and 2020; and (ii) identified characteristics associated with alcohol delivery and to‐go purchases.MethodsData are from the National Alcohol Survey and Alcohol Policy Information System (n = 1677 adults, 52.1% female). Population coverage models summed state populations across state‐level bar/restaurant delivery and to‐go/carryout policies by beverage. Regression outcomes were past‐year alcohol delivery and to‐go purchases. Independent variables included demographics, excessive drinking, COVID‐19 impacts and state COVID‐19 bar/restaurant alcohol laws. Chi‐squared tests and logistic regression models tested associations between delivery/to‐go purchases and independent variables.ResultsOverall, 7.5% of adults had alcohol delivered and 14.5% bought alcohol to‐go. From December 2019 to December 2020, the number of people living in states allowing beer/wine/spirits delivery (284%) and to‐go sales (627%) rose steeply. People who were Black (vs. White; adjusted odds ratio [aOR] 2.92, p < 0.001), excessive drinkers (vs. non‐excessive drinkers; aOR 2.06, p < 0.001) or lived in states allowing beer/wine/spirits to‐go sales (aOR 2.20, p = 0.01) had higher odds of buying alcohol to‐go. Conversely, older people had lower odds of buying alcohol to‐go (aOR 0.97, p < 0.001). People with some college or more (vs. high school degree or less, aOR 2.21, p < 0.001) and a higher economic burden (vs. fewer COVID‐19 impacts, aOR 2.32, p = 0.05) had higher odds of alcohol delivery.Discussion and ConclusionsA select sub‐population defined by socioeconomic status, race, excessive drinking and state policies bought alcohol for delivery or to‐go in the Unites States.
SABCO—An experiential learning project for introductory managerial accounting
Authors: Olson Jodi , Shannon Kimberly 
Published: May 2023

AbstractThis teaching brief presents a capstone project designed to provide students with a contextual understanding of introductory management accounting theories through hands‐on, experiential learning. It also exposes them to cross‐disciplinary roles from operations management. Using this capstone approach, students quickly learn to prepare financial projections, either manually or in Microsoft Excel, to secure financing for their start‐up business (Sand Art Brownie Company or SABCO) to produce and sell brownie mix during the holiday season. Students then assemble ingredients and create jars of brownie mix to gather the necessary data to evaluate initial projections and problem‐solve for future production. This role play contextualizes the elements of direct and indirect labor, fixed and variable costs, and their impact on profit and borrowing. Postproduction reflection on the manufacturing activities and discussion of actual results of operations emphasizes the improvement and decision‐making responsibilities in the management process. Feedback demonstrates that students find the exercise challenging and valuable and that it deepens their understanding of managerial accounting and its purpose in a company's management process.
Electroencephalographic interbrain synchronization in children with disabilities, their parents, and neurologic music therapists
Authors: Kang Kyurim , Orlandi Silvia , Leung Jason , Akter Masuma , Lorenzen Nicole , Chau Tom , Thaut Michael H. 
Published: May 2023

AbstractAs with typically developing children, children with cerebral palsy and autism spectrum disorder develop important socio‐emotional rapport with their parents and healthcare providers. However, the neural mechanisms underlying these relationships have been less studied. By simultaneously measuring the brain activity of multiple individuals, interbrain synchronization could serve as a neurophysiological marker of social–emotional responses. Music evokes emotional and physiological responses and enhances social cohesion. These characteristics of music have fostered its deployment as a therapeutic medium in clinical settings. Therefore, this study investigated two aspects of interbrain synchronization, namely, its phase and directionality, in child–parent (CP) and child–therapist (CT) dyads during music and storytelling sessions (as a comparison). A total of 17 participants (seven cerebral palsy or autism spectrum disorder children [aged 12–18 years], their parents, and three neurologic music therapists) completed this study, comprising seven CP and seven CT dyads. Each music therapist worked with two or three children. We found that session type, dyadic relationship, frequency band, and brain region were significantly related to the degree of interbrain synchronization and its directionality. Particularly, music sessions and CP dyads were associated with higher interbrain synchronization and stronger directionality. Delta (.5–4 Hz) range showed the highest phase locking value in both CP and CT dyads in frontal brain regions. It appears that synchronization is directed predominantly from parent to child, that is, parents and music therapists' brain activity tended to influence a child's. Our findings encourage further research into neural synchrony in children with disabilities, especially in musical contexts, and its implications for social and emotional development.
Humidity – The overlooked variable in the thermal biology of mosquito‐borne disease
Authors: Brown Joel J. , Pascual Mercedes , Wimberly Michael C. , Johnson Leah R. , Murdock Courtney C. 
Published: May 2023

AbstractVector‐borne diseases cause significant financial and human loss, with billions of dollars spent on control. Arthropod vectors experience a complex suite of environmental factors that affect fitness, population growth and species interactions across multiple spatial and temporal scales. Temperature and water availability are two of the most important abiotic variables influencing their distributions and abundances. While extensive research on temperature exists, the influence of humidity on vector and pathogen parameters affecting disease dynamics are less understood. Humidity is often underemphasized, and when considered, is often treated as independent of temperature even though desiccation likely contributes to declines in trait performance at warmer temperatures. This Perspectives explores how humidity shapes the thermal performance of mosquito‐borne pathogen transmission. We summarize what is known about its effects and propose a conceptual model for how temperature and humidity interact to shape the range of temperatures across which mosquitoes persist and achieve high transmission potential. We discuss how failing to account for these interactions hinders efforts to forecast transmission dynamics and respond to epidemics of mosquito‐borne infections. We outline future research areas that will ground the effects of humidity on the thermal biology of pathogen transmission in a theoretical and empirical framework to improve spatial and temporal prediction of vector‐borne pathogen transmission.
Herbaceous vegetation responses to experimental fire in savannas and forests depend on biome and climate
Authors: Gold Zachary J. , Pellegrini Adam F. A. , Refsland Tyler K. , Andrioli Romina J. , Bowles Marlin L. , Brockway Dale G. , Burrows Neil , Franco Augusto C. , Hallgren Steve W. , Hobbie Sarah E. , Hoffmann William A. , Kirkman Kevin P. , Reich Peter B. , Savadogo Patrice , Silvério Divino , Stephan Kirsten , Strydom Tercia , Varner J. Morgan , Wade Dale D. , Wills Allan , Staver A. Carla 
Published: May 2023

AbstractFire–vegetation feedbacks potentially maintain global savanna and forest distributions. Accordingly, vegetation in savanna and forest ecosystems should have differential responses to fire, but fire response data for herbaceous vegetation have yet to be synthesized across biomes. Here, we examined herbaceous vegetation responses to experimental fire at 30 sites spanning four continents. Across a variety of metrics, herbaceous vegetation increased in abundance where fire was applied, with larger responses to fire in wetter and in cooler and/or less seasonal systems. Compared to forests, savannas were associated with a 4.8 (±0.4) times larger difference in herbaceous vegetation abundance for burned versus unburned plots. In particular, grass cover decreased with fire exclusion in savannas, largely via decreases in C4 grass cover, whereas changes in fire frequency had a relatively weak effect on grass cover in forests. These differential responses underscore the importance of fire for maintaining the vegetation structure of savannas and forests.
Chronic intracranial recordings after resection for epilepsy reveal a "running down" of epileptiform activity
Authors: Kundu Bornali , Charlebois Chantel M. , Anderson Daria Nesterovich , Peters Angela , Rolston John D. 
Published: May 2023

AbstractWe describe an electrical "running down" phenomenon and also a consistent spectral change (in the aperiodic component of the power spectrum) derived from chronic interictal electrocorticography (ECoG) after surgery in a patient with drug‐resistant epilepsy. These data were recorded using a closed‐loop neurostimulation system that was implanted after resection. The patient has been seizure‐free for 2.5 years since resection without requiring the neurostimulator to be turned on to stimulate. Concurrently, there was an exponential decrease in the number of epileptiform electrographic detections recorded by the device, particularly over the first 26 weeks, indicative of an electrical running down phenomenon as the brain adapted to an extended period of seizure freedom. We also find that the aperiodic exponent of the power spectrum gradually decreases over time. The aperiodic component of intracranial ECoG may represent a novel marker of epileptogenicity, independent of seizures.
Edge‐featured graph attention network with dependency features for causality detection of events
Authors: Wei Jianxiang , Chen Yuhang , Han Pu , Zhu Yunxia , Huang Weidong 
Published: May 2023

AbstractCausality detection, as a more fine‐grained task than causality extraction, which aims to detect the components that represent the cause and effect in sentence‐level texts with causality, is a significant task in the field of Natural Language Processing (NLP). Previous research on causality detection has concentrated on text token features whilst ignoring the dependency attributes between tokens. In this paper, we propose a model that uses the Edge‐featured Graph Attention Network based on dependency‐directed graphs for the causality detection task. To begin, we convert the texts with causality into the representation of dependency‐directed graphs (DDG), which regard the dependency attributes between tokens as edge features. Then we use Edge‐featured Graph Attention Network to aggregate the node and edge features of DDG. Finally, we put the graph embedding into Bi‐directional Long Short‐Term Memory (BiLSTM) layer to learn the dependencies between forward and backward long‐distance nodes in DDG. Experiments on three datasets prove that this method achieves better performance in precision, recall, and other evaluation metrics compared with other methods.