bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dispersal from Africa to the Neotropics was followed by multiple transitions across Neotropical biomes facilitated by frugivores
Authors: Lopes Jenifer C , Fonseca Luiz Henrique M , Johnson David M , Luebert Federico , Murray Nancy , Nge Francis J , Rodrigues-Vaz Carlos , Soulé Vincent , Onstein Renske E , Lohmann Lúcia G , Couvreur Thomas L P 
Published: November 2023

Abstract

Background and Aim
Plant disjunctions have fascinated biogeographers and ecologists for a long time. We use tribe Bocageeae (Annonaceae), a predominantly Neotropical plant group distributed across several present-day Neotropical biomes and with an African–American disjunction, to investigate long-distance dispersal mediated by frugivorous animals at both intercontinental and intracontinental scales.

Methods
We reconstructed a species-level phylogeny of tribe Bocageeae with a dataset composed of 116 nuclear markers. We sampled 70 % of Bocageeae species, covering their geographical range and representing all eight genera. We estimated divergence times using BEAST, inferred ancestral range distributions and reconstructed ancestral states for fruit traits related to long-distance dispersal in a Bayesian framework.

Key Results
The ancestral Bocageeae date to the Early Eocene and were inferred to occur in Africa and proto-Amazonia. Their ancestral fruits were large and dehiscent. The first lineage split gave rise to an exclusively Neotropical clade during the Middle Eocene, in proto-Amazonia. Range exchange between the Amazon and the Atlantic Forest occurred at least once during the Miocene, and from Amazonia to Central America and Mexico during the Early Miocene. Transitions in different sets of fruit morphologies were inferred to be related to dispersal events across South American regions/biomes.

Conclusions
In Bocageeae, mammals might have been responsible for long-distance dispersal through the Boreotropics. In the Neotropics, proto-Amazonia is proposed to be the source for dispersal to other tropical American biomes. Long-distance dispersal might have happened via a wide range of dispersal guilds, depending on frugivore radiations, diversity and abundance in particular time periods and places. Hence, inter- and intracontinental dispersal might not rely on a single dispersal syndrome or guild, but more on the availability of frugivorous lineages for seed dispersal.
Toward precision brain health: accurate prediction of a cognitive index trajectory using neuroimaging metrics
Authors: Spence Jeffrey S , Turner Monroe P , Rypma Bart , D’Esposito Mark , Chapman Sandra Bond 
Published: November 2023

Abstract
The goal of precision brain health is to accurately predict individuals’ longitudinal patterns of brain change. We trained a machine learning model to predict changes in a cognitive index of brain health from neurophysiologic metrics. A total of 48 participants (ages 21–65) completed a sensorimotor task during 2 functional magnetic resonance imaging sessions 6 mo apart. Hemodynamic response functions (HRFs) were parameterized using traditional (amplitude, dispersion, latency) and novel (curvature, canonicality) metrics, serving as inputs to a neural network model that predicted gain on indices of brain health (cognitive factor scores) for each participant. The optimal neural network model successfully predicted substantial gain on the cognitive index of brain health with 90% accuracy (determined by 5-fold cross-validation) from 3 HRF parameters: amplitude change, dispersion change, and similarity to a canonical HRF shape at baseline. For individuals with canonical baseline HRFs, substantial gain in the index is overwhelmingly predicted by decreases in HRF amplitude. For individuals with non-canonical baseline HRFs, substantial gain in the index is predicted by congruent changes in both HRF amplitude and dispersion. Our results illustrate that neuroimaging measures can track cognitive indices in healthy states, and that machine learning approaches using novel metrics take important steps toward precision brain health.
Constructing high frequency economic indicators by imputation
Authors: Ng Serena , Scanlan Susannah 
Published: November 2023

Summary
Monthly and weekly economic indicators are often taken to be the largest common factor estimated from high and low frequency data, either separately or jointly. To incorporate mixed frequency information without directly modelling them, we target a low frequency diffusion index that is already available, and treat high frequency values as missing. We impute these values using multiple factors estimated from the high frequency data. In the empirical examples considered, static matrix completion that does not account for serial correlation in the idiosyncratic errors yields imprecise estimates of the missing values irrespective of how the factors are estimated. Single equation and systems-based dynamic procedures that account for serial correlation yield imputed values that are closer to the observed low frequency ones. This is the case in the counterfactual exercise that imputes the monthly values of consumer sentiment series before 1978 when the data was released only on a quarterly basis. This is also the case for a weekly version of the Chicago Fed National Activity Index of economic activity that is imputed using seasonally unadjusted data. The imputed series reveals episodes of increased variability of weekly economic information that are masked by the monthly data, notably around the 2014–2015 collapse in oil prices.
Lichen-associated microbial members are prevalent in the snow microbiome of a sub-arctic alpine tundra
Authors: Touchette D , Gostinčar C , Whyte L G , Altshuler I 
Published: November 2023

Abstract
Snow is the largest component of the cryosphere, with its cover and distribution rapidly decreasing over the last decade due to climate warming. It is imperative to characterize the snow (nival) microbial communities to better understand the role of microorganisms inhabiting these rapidly changing environments. Here, we investigated the core nival microbiome, the cultivable microbial members, and the microbial functional diversity of the remote Uapishka mountain range, a massif of alpine sub-arctic tundra and boreal forest. Snow samples were taken over a two-month interval along an altitude gradient with varying degree of anthropogenic traffic and vegetation cover. The core snow alpine tundra/boreal microbiome, which was present across all samples, constituted of Acetobacterales, Rhizobiales and Acidobacteriales bacterial orders, and of Mycosphaerellales and Lecanorales fungal orders, with the dominant fungal taxa being associated with lichens. The snow samples had low active functional diversity, with Richness values ranging from 0 to 19.5. The culture-based viable microbial enumeration ranged from 0 to 8.05 × 103 CFUs/mL. We isolated and whole-genome sequenced five microorganisms which included three fungi, one alga, and one potentially novel bacterium of the Lichenihabitans genus; all of which appear to be part of lichen-associated taxonomic clades.
Predicting Exercise Behavior Among Caregivers of Persons With Dementia—A Longitudinal Investigation Using an Extended Health Belief Model
Authors: Kaushal Navin , Noriega de la Colina Adrián , Keith NiCole R , Nemati Donya 
Published: November 2023

Abstract

Background and Objectives
Family caregivers of persons with dementia face an elevated risk of several chronic illnesses compared to their noncaregiver counterparts. Although exercise is a strong preventive measure for several debilitating health conditions, longitudinal research guided by theoretical frameworks has not identified how behavioral determinants predict exercise among caregivers. This study aimed to investigate how intrapersonal exercise determinants contribute to caregivers’ exercise participation while accounting for social-contextual factors, including perceived caregiving burden and pandemic-related distress, by employing an extended Health Belief Model.

Research Design and Methods
The study was a longitudinal observational design. Community-dwelling older adult family caregivers of individuals with dementia (n = 127) were recruited with the support of a nonprofit organization. Participants completed measures of the Health Belief Model that also included dual process constructs (intention and habit), along with caregiving burden, pandemic-related distress, and exercise behavior across three consecutive months. Data were analyzed using a multilevel structural equation model with participants (Level 2) nested within time (Level 1).

Results
The model revealed direct effects of caregiving burden that debilitate perceived behavioral control, attitudes, threats, and worsen burden, in addition to hampering intention and habit when accounting for total effects. Pandemic-related distress exacerbated caregiving burden and weakened Health Belief Model constructs via total effects.

Discussion and Implications
These findings inform constructs to develop a community-based education program for family caregivers to successfully adopt and maintain exercise behavior. Incorporating supportive resources and coping strategies for caregivers of persons with dementia is needed to address the effects of behavioral deterrents.
Full-waveform simulation of DAS records, response and cable-ground coupling
Authors: Celli Nicolas L , Bean Christopher J , O'Brien Gareth S 
Published: November 2023

SUMMARY
Over the past several years, the use of optical fibre cables as ground motion sensors has become a central topic for seismologists, with successful applications of distributed acoustic sensing (DAS) in various key fields such as seismic monitoring, structural imaging and source characterization. DAS response is a combination of both instrument response and cable-ground coupling, with the latter having a strong, spatially variable, but yet largely unquantified effect. This limits the application of a large number of staple seismological techniques (e.g. earthquake magnitude estimation, waveform tomography) that can require accurate knowledge of a signal's amplitude and frequency content. Here we present a method for accurately simulating a DAS cable and its ground coupling. The scheme is based on molecular dynamic-like particle-based numerical modelling, allowing the investigation of the effect of varying DAS-ground coupling scenarios. We start by computing the full strain field directly, for each pair of neighbouring particles in the model. We then define a virtual DAS cable, embedded within the model and formed by a single string of interconnected particles. This allows us to control all aspects of the cable-ground coupling and their properties at an effective granular level through changing the bond stiffness and bond types (e.g. non-linearity) for both the cable and the surrounding medium. Arbitrary cable geometries and heterogeneous materials can be accommodated at the desired scale of investigation. We observe that at the meter scale, the cable-ground coupling and local site effects can substantially alter the recorded signal. We find that the stiffness of the thin layer of material to which the cable is coupled has the strongest effects, selectively amplifying portions of the wave train and contributing to substantial phase delays. These differences show that cable coupling and local site effects should be considered both when designing a DAS deployment and analysing its data when either true or along-cable relative amplitudes and/or frequencies are considered. The codes developed herein for calculating full waveform DAS responses and coupling are made publicly available.
Enhancing the resilience of blue foods to climate shocks using insurance
Authors: Watson James R , Spillman Claire M , Little L Richard , Hobday Alistair J , Levin Phillip S 
Published: November 2023

Abstract
For the Blue Foods economy—those sectors that gain value from the biological productivity of the oceans such as fisheries and aquaculture—climate shocks pose an existential threat. Species range shifts, harmful algal blooms, marine heatwaves, low oxygen events, coral bleaching, and hurricanes all present a serious economic risk to these industries, and yet there exist few financial tools for managing these risks. This contrasts with agriculture, where financial tools such as insurance are widely available for managing numerous weather-related shocks. Designing financial tools to aid risk management, such as insurance, for equitable resilience against marine climate shocks will give coastal communities access to the necessary means for reducing their sensitivity to climate shocks and improving their long-term adaptive capacity. We suggest that a convergence of the insurance industry and marine sectors, fostered through collaboration with governments, academics, and NGOs will help usher in new forms of insurance, such as ocean-index or parametric insurance. These new risk-management tools have the potential to help incentivize sustainable use of living marine resources, as well as strengthening the economic resilience of coastal communities to climate change.
Respiratory Syncytial Virus–Associated Hospitalization in Adults With Comorbidities in 2 European Countries: A Modeling Study
Authors: Osei-Yeboah Richard , Johannesen Caroline Klint , Egeskov-Cavling Amanda Marie , Chen Junru , Lehtonen Toni , Fornes Arantxa Urchueguía , Paget John , Fischer Thea K , Wang Xin , Nair Harish , Campbell Harry 
Published: November 2023

Abstract

Background
Individuals with comorbidities are at increased risk of severe respiratory syncytial virus (RSV) infection. We estimated RSV-associated respiratory hospitalization among adults aged ≥45 years with comorbidities in Denmark and Scotland.

Methods
By analyzing national hospital and virologic data, we estimated annual RSV-associated hospitalizations by 7 selected comorbidities and ages between 2010 and 2018. We estimated rate ratios of RSV-associated hospitalization for adults with comorbidity than the overall population.

Results
In Denmark, annual RSV–associated hospitalization rates per 1000 adults ranged from 3.1 for asthma to 19.4 for chronic kidney disease (CKD). In Scotland, rates ranged from 2.4 for chronic liver disease to 9.0 for chronic obstructive pulmonary disease (COPD). In both countries, we found a 2- to 4-fold increased risk of RSV hospitalization for adults with COPD, ischemic heart disease, stroke, and diabetes; a 1.5- to 3-fold increased risk for asthma; and a 3- to 7-fold increased risk for CKD. RSV hospitalization rates among adults aged 45 to 64 years with COPD, asthma, ischemic heart disease, or CKD were higher than the overall population.

Conclusions
This study provides important evidence for identifying risk groups and assisting health authorities in RSV vaccination policy making.
Aid coordination through competition? Unintended consequences of China–Japan rivalry in foreign aid policy in Asia
Authors: Hoshiro Hiroyuki 
Published: November 2023

Abstract
The power struggle between China and Japan in Asia continues, with their political confrontations extending to foreign aid rivalry. While Japan used to dominate in foreign aid in the region, China has overtaken it with its infrastructure assistance. No formal regional aid and development framework has yet been developed here. However, this article argues that unintentional donor coordination between China and Japan has been realized. The aid provided by the two does not overlap as each country tends to focus on a limited number of recipients, and a natural division of labor originates. Why has their rivalry resulted in aid coordination? This article answers the question by examining the behaviors of Japanese and Chinese aid and finding that, ironically, it is their shared interest in economic infrastructure aid that creates such a situation.
Becoming Imperial Brands: Japanese Advertising in Colonial Korea, 1920–1932
Authors: Chun Yongkeun 
Published: November 2023

Abstract
This article explores the expansion of advertisements by Japanese consumer goods brands in Korea during the Japanese colonial period (1910–1945), focusing on the 1920s and early 1930s. It adopts the “colonial modernity” approach to examine Japanese advertising in Korea as an interface between Japanese and Korean non-state actors. It also uses transnational design history to investigate, more empirically, how these actors, such as manufacturers, consumers, advertising agencies, retailers, newspaper companies, practitioners, and the colonial government, contributed to the expansion and change of Japanese advertisements. It studies the cases of three Japanese brands, Morinaga (confectionery), Lion (toothpaste), and Ajinomoto (artificial seasoning), analyzing their advertisements and examining written records from the companies’ archives, their histories, and contemporary publications. By doing so it uncovers the negotiations, challenges, and tensions among the various actors involved in the Japanese brands’ advertising in Korea. The article argues that colonial modernity around Japanese advertising design was formed between or across Korea and Japan, by both Koreans and Japanese, and that through this gradual process of interaction and adaptation Japanese “national brands” transformed themselves into “imperial brands.”
From Oral Tradition to Digital Archive: New Primary Sources for the Study of Baul Traditions
Authors: Lorea Carola 
Published: November 2023

AbstractPractitioners’ notebooks and personal letters are neglected items that deserve attention in the study of ritual and performance traditions, especially if these can be complemented with oral–aural sources. This article presents some features of an unexplored archive of new sources for the study of Baul songs and popular religious movements in Bengal by introducing and complementing the data contained in the digital archive called ‘Songs of the Old Madmen’ (EAP1247, British Library), comprising notebooks of Baul songs and correspondence between an influential Bengali guru and his disciple. I highlight three aspects. (i) The notebook as archive and metadata of Baul performances. (ii) Emic notions of authorship and cultural ownership. (iii) The contextualisation of the digital archive within the history of representation of the Baul tradition. Embedded in such context, this digital archive provides a nuanced and intimate picture where Baul practitioners emerge as neither the lonely minstrels lauded by Rabindranath Tagore, nor as the antinomian materialists portrayed in more recent scholarship on Bauls. Questioning the politics of cultural representation of digital archives, this article integrates oral histories and ethnographic sources collected during fieldwork in West Bengal that are inextricably part of the material digitised through remote capture.
Concurrent kink and sausage waves in a crescent-shaped structure over a limb prominence
Authors: Ghiasi Maryam , Dadashi Neda , Ebadi Hossein 
Published: November 2023

ABSTRACT
A Crescent-shaped prominence Structure (CS) over the solar west limb is studied using Extreme Ultra-Violet (EUV) Imaging Spectrometer/Hinode and Atmospheric Imaging Assembly (AIA)/Solar Dynamics Observatory (SDO). First, the time-varying positions of the top and bottom borders of the CS, along with its central axis, are derived. Time evolutions of the Doppler shifts and line width of Fe xii 195.119 line are studied over the CS borders. Transverse kink oscillations are observed both in the solar-Y direction and in the Doppler shifts over the observers’ line of sight (LOS). One explanation could be that the oscillatory direction of the main kink wave build an angle with the observers’ LOS. This angle is calculated to be equal to 27° for the CS top border. The main kink amplitude velocity and periods are obtained to be 5.3 $\rm km\, s^{-1}$ and 33.4 min, respectively. The anticorrelation observed between the brightness and thickness of the CS (with −178.1°) suggests the presence of sausage modes with periods of 20.8 min. Based on the AIA imaging, it is suggested that the occurred jets and their afterwards dimming are responsible to trigger the sausage mode. The average electron densities of the CS over the time of the study are obtained to be log($n_\mathrm{ e}$) = 9.3 $\mathrm{ cm}^{-3}$. The Alfvén velocity, magnetic field, and energy flux of the observed fast kink mode over the CS are estimated to be 16.7 $\rm km\, s^{-1}$, 2.79 $\rm G$, and 41.93 $\rm W\,m^{-2}$, respectively. Considering the magnetic flux conservation inside the CS, expanding the CS cross-section causes the magnetic field to decay with the rate of $\rm 4.95 \times 10^{-4} \ G\,s^{-1}$.
Withdrawn 2.0—update on withdrawn drugs with pharmacovigilance data
Authors: Gallo Kathleen , Goede Andrean , Eckert Oliver-Andreas , Gohlke Bjoern-Oliver , Preissner Robert 
Published: November 2023

Abstract
One challenge in the development of novel drugs is their interaction with potential off-targets, which can cause unintended side-effects, that can lead to the subsequent withdrawal of approved drugs. At the same time, these off-targets may also present a chance for the repositioning of withdrawn drugs for new indications, which are potentially rare or more severe than the original indication and where certain adverse reactions may be avoidable or tolerable. To enable further insights into this topic, we updated our database Withdrawn by adding pharmacovigilance data from the FDA Adverse Event Reporting System (FAERS), as well as mechanism of action and human disease pathway prediction features for drugs that are or were temporarily withdrawn or discontinued in at least one country. As withdrawal data are still spread over dozens of national websites, we are continuously updating our lists of discontinued or withdrawn drugs and related (off-)targets. Furthermore, new systematic entry points for browsing the data, such as an ATC tree, were added, increasing the accessibility of the database in a user-friendly way. Withdrawn 2.0 is publicly available without the need for registration or login at https://bioinformatics.charite.de/withdrawn_3/index.php.
MetaboLights: open data repository for metabolomics
Authors: Yurekten Ozgur , Payne Thomas , Tejera Noemi , Amaladoss Felix Xavier , Martin Callum , Williams Mark , O’Donovan Claire 
Published: November 2023

Abstract
MetaboLights is a global database for metabolomics studies including the raw experimental data and the associated metadata. The database is cross-species and cross-technique and covers metabolite structures and their reference spectra as well as their biological roles and locations where available. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information. In this article, we describe the continued growth and diversity of submissions and the significant developments in recent years. In particular, we highlight MetaboLights Labs, our new Galaxy Project instance with repository-scale standardized workflows, and how data public on MetaboLights are being reused by the community. Metabolomics resources and data are available under the EMBL-EBI’s Terms of Use at https://www.ebi.ac.uk/metabolights and under Apache 2.0 at https://github.com/EBI-Metabolights.