bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experience of hope in older people with chronic illness: A meta‐synthesis
Authors: Pinto Manoela Henriques , Leite Ana Carolina Andrade Biaggi , Neris Rhyquelle Rhibna , Kusumota Luciana 
Published: November 2023

AbstractBackgroundThe increase in life expectancy has contributed to an increase in the number of older people, but this population has to learn to live with at least one chronic illness. Thus, hope has become an important resource for the older adult to face the repercussions of chronic illness.ObjectiveTo synthesise qualitative evidence on the experience of hope in older people with chronic illness.MethodsThis meta‐synthesis included qualitative studies which present the experiences of hope in older people diagnosed with at least one chronic illness. The searches were made from six databases, guided by the SPIDER tool. The identified articles were then independently screened by two reviewers. The results were analysed according to the thematic synthesis approach.ResultsEighteen articles were included, and four analytical themes were constructed. The results allow us to understand that older people live with long‐term conditions and hope for an ordinary life. To react to new changes and to maintain hope, they create goals that motivate them in daily life. The treatment is initially seen as a salvation, but the information acquired with the evolution of the illness modifies this perception. In addition, the uncertainty about the success of the treatment creates conflict in their hope. In the support and care of older people in the new context of illness, meaningful relationships strengthen hope most of the time. There is still the hope of being reconciled with death, but there are times when suffering overcomes the hope of living.ConclusionsThis meta‐synthesis highlights that the experience of hope in older people is dynamic and influenced by the context of changes related to illness, treatment, significant relationships and proximity to death.Implications for PracticeA better understanding of the role and characteristics of hope in older people with chronic illness may help to develop more effective interventions to promote and maintain hope.
EARLY FLOWERING is a dominant gain‐of‐function allele of FANTASTIC FOUR 1/2c that promotes early flowering in tomato
Authors: Zhang Dedi , Ai Guo , Ji Kangna , Huang Rong , Chen Chunrui , Yang Zixuan , Wang Jiafa , Cui Long , Li Guobin , Tahira Maryam , Wang Xin , Wang Taotao , Ye Jie , Hong Zonglie , Ye Zhibiao , Zhang Junhong 
Published: November 2023

SummaryFlowering time, an important factor in plant adaptability and genetic improvement, is regulated by various genes in tomato (Solanum lycopersicum). In this study, we characterized a tomato mutant, EARLY FLOWERING (EF), that developed flowers much earlier than its parental control. EF is a dominant gain‐of‐function allele with a T‐DNA inserted 139 bp downstream of the stop codon of FANTASTIC FOUR 1/2c (FAF1/2c). The transcript of SlFAF1/2c was at elevated levels in the EF mutant. Overexpressing SlFAF1/2c in tomato plants phenocopied the early flowering trait of the EF mutant. Knocking out SlFAF1/2c in the EF mutant reverted the early flowering phenotype of the mutant to the normal flowering time of the wild‐type tomato plants. SlFAF1/2c promoted the floral transition by shortening the vegetative phase rather than by reducing the number of leaves produced before the emergence of the first inflorescence. The COP9 signalosome subunit 5B (CSN5B) was shown to interact with FAF1/2c, and knocking out CSN5B led to an early flowering phenotype in tomato. Interestingly, FAF1/2c was found to reduce the accumulation of the CSN5B protein by reducing its protein stability. These findings imply that FAF1/2c regulates flowering time in tomato by reducing the accumulation and stability of CSN5B, which influences the expression of SINGLE FLOWER TRUSS (SFT), JOINTLESS (J) and UNIFLORA (UF). Thus, a new allele of SlFAF1/2c was discovered and found to regulate flowering time in tomato.
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries
Authors: Shi Junchuan , Wei Yupeng , Wu Dazhong 
Published: November 2023

Abstract
Monitoring the health condition as well as predicting the performance of lithium-ion batteries is crucial to the reliability and safety of electrical systems such as electric vehicles. However, estimating the discharge capacity and end-of-discharge (EOD) of a battery in real-time remains a challenge. Few works have been reported on the relationship between the capacity degradation of a battery and EOD. We introduce a new data-driven method that combines convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) models to predict the discharge capacity and the EOD using online condition monitoring data. The CNN model extracts long-term correlations among voltage, current, and temperature measurements and then estimates the discharge capacity. The BiLSTM model extracts short-term dependencies in condition monitoring data and predicts the EOD for each discharge cycle while utilizing the capacity predicted by the CNN as an additional input. By considering the discharge capacity, the BiLSTM model is able to use the long-term health condition of a battery to improve the prediction accuracy of its short-term performance. We demonstrated that the proposed method can achieve online discharge capacity estimation and EOD prediction efficiently and accurately.
Nonlocal Theory for Submerged Cantilever Beams Undergoing Torsional Vibrations
Authors: Gulsacan Burak , Aureli Matteo 
Published: November 2023

Abstract
We propose a new theory for fluid–structure interactions of cantilever microbeams undergoing small amplitude vibrations in viscous fluids. The method is based on the concept of nonlocal modal hydrodynamic functions that accurately capture three-dimensional (3D) fluid loading on the structure. For short beams for which 3D effects become prominent, existing local theories based on two-dimensional (2D) fluid approximations are inadequate to predict the dynamic response. We discuss and compare model predictions in terms of frequency response functions, modal shapes, quality factors, and added mass ratios with the predictions of the local theory, and we validate our new model with experimental results.
State of Charge Estimation of Lithium-Ion Batteries Using Physics-Informed Transformer for Limited Data Scenarios
Authors: Ahn Hyunjin , Shen Heran , Zhou Xingyu , Kung Yung-Chi , Wang Junmin 
Published: November 2023

Abstract
Accurate estimation of the state of charge (SOC) is crucial for ensuring the safe and efficient operation of lithium-ion batteries. Machine learning (ML) models may achieve high SOC estimation accuracy, but typically require large training datasets that may not always be accessible in practical applications. To address this issue, this work proposes a hybrid model consisting of a transformer neural network and a single particle model with electrolyte dynamics (SPMe) for SOC estimation in limited data scenarios. The transformer can leverage the internal battery states estimated by the SPMe when necessary and learn to use information from multiple sources (i.e., experimental data and SPMe). Two limited data scenarios, partially available cycles and varying temperatures, are evaluated with experimental battery discharge cycles to identify the conditions under which the proposed model outperforms traditional ML models. Despite being highly dependent on the SPMe’s performance, the hybrid model demonstrated improved SOC estimation over the baseline models, with less than 2% error for most scenarios.
Experimental Study of the Thermal Management System of an Air-Cooled Li-Ion Battery Pack with Triangular Spoilers
Authors: Verma Satya Prakash , Saraswati Samir 
Published: November 2023

Abstract
This research experimentally examines the thermal behavior of an air-cooled Li-ion battery pack with triangular spoilers. The objective is to enhance temperature uniformity and reduce the maximum temperature of the battery pack by redirecting airflow toward regions of higher temperatures using triangular spoilers. The effects of spoiler angles (α) and spoiler positions (Ds) on the thermal performance of a 24V, 10Ah aligned battery pack are investigated. The parameters used to evaluate the thermal performance are temperature variation along as well as transverse to the airflow direction and temperature variation around the circumference of the cell. The maximum temperature (Tmax), average temperature (Tavg.), maximum temperature difference (ΔTmax), and standard deviation of the temperature (σT) are the other performance parameters that are assessed. It is observed that the temperature of the battery pack decreases along the airflow direction with both the increase in α and Ds. It happens due to the enhancement in the heat transfer rate caused by higher turbulence kinetic energy. The non-uniformity in the cell temperature around the circumference improves by 0.4 K and 1.8 K with the change in α and Ds, respectively. It is found that Tmax and Tavg of the battery pack are reduced by a maximum value of 2.5 K and 1.55 K, respectively, compared to the case when no spoiler is used. The maximum reduction in ΔTmax and σT is found to be 2.4 K and 1.02, respectively.
Using Acceptance and Commitment Therapy for Unhelpful Thinking Toward Body Image With an Elite Figure Skater
Authors: Wood Samuel , Fletcher David 
Published: November 2023

We outline the sport psychology service delivery provided to a 23-year-old elite figure skater who reported unhelpful thoughts about her body image that hindered her performance and concentration in training. An acceptance and commitment therapy intervention was implemented over 12 sessions across a 6-month period. The acceptance and commitment therapy matrix was used to conceptualize the client’s “stuckness” and provide a foundation for the techniques implemented. The aim of our work was to increase psychological flexibility, helping the client sit with, rather than change or remove, her unhelpful thoughts, moving her toward the athlete she wanted to be. This case reports how psychological flexibility was achieved through exercises to help the client “unhook” from her unhelpful thoughts about body image. Reflections from the client were obtained to monitor and evaluate the service delivery process. The trainee’s reflections on practice highlight the unpredictability of presenting problems disclosed during service delivery, the isolating and challenging nature of working with elite athletes in private practice, and the need for practitioners to understand the theoretical orientations of their approach.
Changes in fungal taxonomy: mycological rationale and clinical implications
Authors: Borman Andrew M. , Johnson Elizabeth M. 
Published: November 2023

SUMMARY
Numerous fungal species of medical importance have been recently subjected to and will likely continue to undergo nomenclatural changes as a result of the application of molecular approaches to fungal classification together with abandonment of dual nomenclature. Here, we summarize those changes affecting key groups of fungi of medical importance, explaining the mycological (taxonomic) rationale that underpinned the changes and the clinical relevance/importance (where such exists) of the key nomenclatural revisions. Potential mechanisms to mitigate unnecessary taxonomic instability are suggested, together with approaches to raise awareness of important changes to minimize potential clinical confusion.
Structure-function analysis of the heme-binding WWD domain in the bacterial holocytochrome
c
synthase, CcmFH
Authors: Grunow Amber L. , Carroll Susan C. , Kreiman Alicia N. , Sutherland Molly C. 
Published: November 2023

ABSTRACT

Heme trafficking is a fundamental biological process, yet its direct study has been hampered due to heme’s tight intracellular regulation, heme cytotoxicity, and the transient nature of trafficking. The bacterial System I and System II cytochrome
c
biogenesis pathways are developing into models to interrogate heme trafficking mechanisms, as they function to transport heme from inside to outside the cell for attachment to apocytochrome
c
. Cytochromes
c
require heme for folding and to function in the context of electron transport chains for critical cellular functions, such as respiration. We focus on System I, comprised of eight membrane proteins, CcmABCDEFGH, proposed to function in two steps: CcmABCD mediates the transfer of heme and attachment to CcmE. HoloCcmE chaperones heme to CcmFH for attachment to apocytochrome
c
. While CcmFH is known to be the holocytochrome
c
synthase, the mechanism of heme interaction and positioning for attachment to apocytochrome
c
remains to be elucidated. A comprehensive structure-function analysis of the conserved WWD domain in CcmF was undertaken utilizing alanine-scanning and cysteine-scanning, revealing residues critical for CcmF’s synthase function and residues required for interaction with the 2- and 4-vinyls of heme. This analysis demonstrates for the first time that the CcmF WWD domain directly interacts with heme and that heme interactions within this domain are required for attachment to apocytochrome
c
. This in-depth interrogation of heme binding now allows for comparison across cytochrome
c
biogenesis proteins CcmF, CcmC, and CcsBA, revealing common mechanisms of heme interaction in these heme trafficking pathways.

IMPORTANCE

Heme is an essential co-factor for proteins involved with critical cellular functions, such as energy production and oxygen transport. Thus, understanding how heme interacts with proteins and is moved through cells is a fundamental biological question. This work studies the System I cytochrome
c
biogenesis pathway, which in some species (including
Escherichia coli
) is composed of eight integral membrane or membrane-associated proteins called CcmA-H that are proposed to function in two steps to transport and attach heme to apocytochrome
c
. Cytochrome
c
requires this heme attachment to function in electron transport chains to generate cellular energy. A conserved WWD heme-handling domain in CcmFH is analyzed and residues critical for heme interaction and holocytochrome
c
synthase activity are identified. CcmFH is the third member of the WWD domain-containing heme-handling protein family to undergo a comprehensive structure-function analysis, allowing for comparison of heme interaction across this protein family.
How does weathering influence geochemical proxies in Paleoproterozoic banded iron formations? A case study from outcrop samples of 2.46 Ga banded iron formation, Hamersley Basin, Western Australia
Authors: Li Zhiquan , Konhauser Kurt O. , Zhou Yongzhang , Adlakha Erin , Button Mark , Lazowski Cody , Pecoits Ernesto , Aubet Natalie R. , Lecumberri-Sanchez Pilar , Alessi Daniel S. , Robbins Leslie J. 
Published: November 2023

Abstract
Trace metal and rare earth element (REE) abundances in banded iron formations are critical for assessing the chemical composition of ancient seawater and the long-term evolution of the ocean-atmosphere system. Recent studies, however, have highlighted the potential effects of outcrop weathering, raising concerns about whether banded iron formation samples are suitable proxies for ancient redox conditions or if exposure to surficial weathering regimes may have altered key geochemical signals. Here, we present a detailed, high-resolution study of several banded iron formation outcrop samples from the Hamersley Basin, Western Australia, to investigate microscale differences in composition between banded iron formation and weathered surfaces (i.e., weathered crusts). Elemental mapping and bulk-rock geochemical analyses reveal that weathered crust is more enriched in most elements than the banded iron formation, except for silica, which is significantly depleted. There is also a significant loss of redox-sensitive elements (RSEs) in the weathered surface, which suggests that outcrop samples have been affected by higher degrees of chemical leaching than physical erosion. These results are significant, because we clearly show that the geochemical characteristics of the weathered surface—irrespective of how it formed—are distinct from those of the remainder of the sample. This means that with sufficient screening of samples for obvious signs of alteration, banded iron formation outcrop samples may indeed be used as a reliable proxy for the evolution of Earth’s coupled ocean-atmosphere system. This increases the volume of easily accessible Precambrian sample material, so that researchers no longer solely need to rely on core recovered through costly drilling programs.
Independent monitoring and the new pandemic agreement
Authors: Hanbali Layth , Hannon Elliot , Lehtimaki Susanna , McNab Christine , Schwalbe Nina R 
Published: November 2023

Negotiations are underway at the WHO for a legally binding instrument for pandemic prevention, preparedness and response. As seen in the International Health Regulations, however, countries signing up to an agreement is no guarantee of its effective implementation. We, therefore, investigated the potential design features of an accountability framework for the proposed pandemic agreement that could promote countries’ compliance with it. We reviewed the governance of a number of international institutions and conducted over 40 interviews with stakeholders and experts to investigate how the pandemic agreement could be governed.We found that enforcement mechanisms are a key feature for promoting the compliance of countries with the obligations they sign up for under international agreements but that they are inconsistently applied. It is difficult to design enforcement mechanisms that successfully avoid inflicting unintended harm and, so, we found that enforcement mechanisms generally rely on soft political levers rather than hard legal ones to promote compliance. Identifying reliable information on states’ behaviour with regard to their legal obligations requires using a diverse range of information, including civil society and intergovernmental organisations, and maintaining legal, financial, and political independence.We, therefore, propose that there should be an independent mechanism to monitor states’ compliance with and reporting on the pandemic agreement. It would mainly triangulate a diverse range of pre-existing information and have the authority to receive confidential reports and seek further information from states. It would report to a high-level political body to promote compliance with the pandemic agreement.
Systematic review of seroprevalence of SARS-CoV-2 antibodies and appraisal of evidence, prior to the widespread introduction of vaccine programmes in the WHO European Region, January–December 2020
Authors: Vaughan Aisling , Duffell Erika , Freidl Gudrun S , Lemos Diogo Simão , Nardone Anthony , Valenciano M , Subissi Lorenzo , Bergeri Isabel , K Broberg Eeva , Penttinen Pasi , Pebody Richard , Keramarou Maria 
Published: November 2023

ObjectivesSystematic review of SARS-CoV-2 seroprevalence studies undertaken in the WHO European Region to measure pre-existing and cumulative seropositivity prior to the roll out of vaccination programmes.DesignA systematic review of the literature.Data sourcesWe searched MEDLINE, EMBASE and the preprint servers MedRxiv and BioRxiv in the WHO ‘COVID-19 Global literature on coronavirus disease’ database using a predefined search strategy. Articles were supplemented with unpublished WHO-supported Unity-aligned seroprevalence studies and other studies reported directly to WHO Regional Office for Europe and European Centre for Disease Prevention and Control.Eligibility criteriaStudies published before the widespread implementation of COVID-19 vaccination programmes in January 2021 among the general population and blood donors, at national and regional levels.Data extraction and synthesisAt least two independent researchers extracted the eligible studies; a third researcher resolved any disagreements. Study risk of bias was assessed using a quality scoring system based on sample size, sampling and testing methodologies.ResultsIn total, 111 studies from 26 countries published or conducted between 1 January 2020 and 31 December 2020 across the WHO European Region were included. A significant heterogeneity in implementation was noted across the studies, with a paucity of studies from the east of the Region. Sixty-four (58%) studies were assessed to be of medium to high risk of bias. Overall, SARS-CoV-2 seropositivity prior to widespread community circulation was very low. National seroprevalence estimates after circulation started ranged from 0% to 51.3% (median 2.2% (IQR 0.7–5.2%); n=124), while subnational estimates ranged from 0% to 52% (median 5.8% (IQR 2.3%–12%); n=101), with the highest estimates in areas following widespread local transmission.ConclusionsThe low levels of SARS-CoV-2 antibody in most populations prior to the start of vaccine programmes underlines the critical importance of targeted vaccination of priority groups at risk of severe disease, while maintaining reduced levels of transmission to minimise population morbidity and mortality.
How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
Authors: Bamgboje-Ayodele Adeola , McPhail Steven M , Brain David , Taggart Richard , Burger Mitchell , Bruce Lenert , Holtby Caroline , Pradhan Malcolm , Simpson Mark , Shaw Tim J , Baysari Melissa T 
Published: November 2023

ObjectivesDigital health is now routinely being applied in clinical care, and with a variety of clinician-facing systems available, healthcare organisations are increasingly required to make decisions about technology implementation and evaluation. However, few studies have examined how digital health research is prioritised, particularly research focused on clinician-facing decision support systems. This study aimed to identify criteria for prioritising digital health research, examine how these differ from criteria for prioritising traditional health research and determine priority decision support use cases for a collaborative implementation research programme.MethodsDrawing on an interpretive listening model for priority setting and a stakeholder-driven approach, our prioritisation process involved stakeholder identification, eliciting decision support use case priorities from stakeholders, generating initial use case priorities and finalising preferred use cases based on consultations. In this qualitative study, online focus group session(s) were held with stakeholders, audiorecorded, transcribed and analysed thematically.ResultsFifteen participants attended the online priority setting sessions. Criteria for prioritising digital health research fell into three themes, namely: public health benefit, health system-level factors and research process and feasibility. We identified criteria unique to digital health research as the availability of suitable governance frameworks, candidate technology’s alignment with other technologies in use,and the possibility of data-driven insights from health technology data. The final selected use cases were remote monitoring of patients with pulmonary conditions, sepsis detection and automated breast screening.ConclusionThe criteria for determining digital health research priority areas are more nuanced than that of traditional health condition focused research and can neither be viewed solely through a clinical lens nor technological lens. As digital health research relies heavily on health technology implementation, digital health prioritisation criteria comprised enablers of successful technology implementation. Our prioritisation process could be applied to other settings and collaborative projects where research institutions partner with healthcare delivery organisations.