bluuebunny/crossref_metadata_2025_split huggingface dataset:
The censor's burden
Authors: Joshi Hrishikesh 
Published: November 2024

AbstractCensorship involves, inter alia, adopting a certain type of epistemic policy. While much has been written on the harms and benefits of free expression and the associated rights thereof, the epistemic preconditions of justified censorship are relatively underexplored. In this paper, I argue that examining intrapersonal norms of how we ought to treat evidence that might come to us over time can shed light on interpersonal norms of evidence generation and sharing that are relevant in the context of censorship. The upshot is that justified censorship requires the censor to meet a very high epistemic burden regarding the target proposition(s)—importantly, one that exceeds knowledge.
Island colonization in flowering plants is determined by the interplay of breeding system, lifespan, floral symmetry, and arrival opportunity
Authors: Zell Annie N. , Miranda Charlotte H. , Grady Erin L. , Grossenbacher Dena L. , Igić Boris 
Published: November 2024

Summary
Among flowering plants, self‐compatibility, longer lifespan, and generalized pollination syndrome are each thought to increase the lifetime odds of finding a mate, particularly in isolated locales. An accumulated body of evidence supports the role of breeding system in island colonization, but less is known about the impact of other traits and their interactions during establishment.
We employ a global dataset of 3222 flowering plant species from 169 families to estimate the effects of traits on the probability of island occurrence. Our analyses additionally account for taxonomic group membership and assess the role of island arrival opportunity.
Self‐compatibility is strongly associated with island colonization. A longer lifespan and generalized pollination syndrome are also associated with increased island colonization, although this is influenced by their interaction with breeding system. The probability of island colonization is highly dependent on taxonomically conserved unmeasured traits and arrival opportunity. As expected, mate limitation appears to increase with dispersal distance, although many other factors are at play.
We find that arrival opportunity and breeding system are the primary drivers of island colonization relative to other life‐history traits we account for here, lending additional support for the positive role of uniparental reproduction in establishment following long‐distance dispersal.
The BBX7/8‐CCA1/LHY transcription factor cascade promotes shade avoidance by activating PIF4
Authors: Bian Yeting , Song Zhuolong , Liu Changseng , Song Zhaoqing , Dong Jie , Xu Dongqing 
Published: November 2024

Summary
Sun‐loving plants undergo shade avoidance syndrome (SAS) to compete with their neighbors for sunlight in shade conditions. Phytochrome B (phyB) plays a dominant role in sensing the shading signals (low red to far‐red ratios) and triggering SAS. Shade drives phyB conversion to inactive form, consequently leading to the accumulation of PHYTOCHROMEINTERACTING FACTOR 4 (PIF4) that promotes plant growth.
Here, we show B‐box PROTEIN 7 (BBX7)/BBX8 and CIRCADIAN CLOCK ASSOCIATED 1 (CCA1)/LATE ELONGATED HYPOCOTYL (LHY) positively regulate the low R : FR‐induced PIF4 expression and promote the low R : FR‐triggered hypocotyl growth in Arabidopsis.
Shade interferes the interactions of phyB with BBX7 or BBX8 and triggers the accumulation of BBX7 and BBX8 independent of phyB. BBX7 and BBX8 associate with CCA1 and LHY to activate their transcription, the gene produces of which subsequently upregulate the expression of PIF4 in shade. Genetically, BBX7 and BBX8 act upstream of CCA1, LHY, and PIF4 with respect to hypocotyl growth in shade conditions.
Our study reveals the BBX7/8‐CCA1/LHY transcription factor cascade upregulates PIF4 expression and increases its abundance to promote plant growth and development in response to shade.
The Effects of a Newborn Care Education Program on Mothers’ Self‐Confidence, Care Knowledge, and Breastfeeding Behavior: A Systematic Review and Meta‐Analysis
Authors: Guo Kangle , Shang Xue , Deng Xinxin 
Published: November 2024

ABSTRACTObjectiveTo assess the effect of newborn care education programs on mothers’ self‐confidence, care knowledge, and exclusive breastfeeding behavior and anxiety.MethodsWe searched for intervention studies comparing newborn care education programs versus standard care for mothers in five comprehensive databases (July 2024). The risk of bias was assessed using the Cochrane Collaboration Risk of Bias Tool. The R software version 4.2.2 software was used to perform the meta‐analysis on mothers’ self‐confidence, care knowledge, exclusive breastfeeding behavior, and anxiety, and the GRADE approach was used to evaluate the certainty of evidence.ResultsTwenty trials involving 6136 mothers were included. The results of meta‐analysis revealed that newborn care education program improved mothers’ confidence scores (SMD = 1.25, 95% CI: [0.22, 2.28], p < 0.05), care knowledge level scores (SMD = 1.05, 95% CI: [–0.00, 2.09], p < 0.05), the frequency of exclusive breastfeeding (RR = 1.15, 95% CI: [1.10, 1.20], p < 0.05), and significantly decreased anxiety scores (SMD = –0.40, 95% CI: [–0.73, –0.07], p < 0.05) than standard care programs.ConclusionOur evidence supports the benefits of newborn care education programs in improving mothers’ self‐confidence, care knowledge, exclusive breastfeeding behavior (optimal duration of more than 6 months), and reducing anxiety. Newborn care education program is beneficial to mothers both in behaviors and psychology state of taking care of newborn. It is recommended conducting more well‐designed intervention with large samples to verify current findings.
Characterization of a plant‐pathogenic T3SS‐lacking Xanthomonas strain isolated from common ragweed
Authors: Biessy Adrien , Cadieux Mélanie , Ciotola Marie , McDuff Florence , Soufiane Brahim , Laforest Martin , Filion Martin 
Published: November 2024

AbstractCommon ragweed (Ambrosia artemisiifolia) is one of the leading causes of allergenic rhinitis, as well as a major weed of many crops. Biological control with plant pathogens, such as fungi and bacteria, represents an attractive alternative to the application of synthetic herbicides to control this noxious weed. In this study, we isolated a Xanthomonas strain (designated as 10‐10) from a diseased common ragweed plant collected in southern Quebec, Canada. We characterized the bioherbicidal potential of this strain against common ragweed, and determined whether it can infect other plant species. Its genome was sequenced using PacBio's SMRT technology, enabling us to gain insight into the phylogenetic placement of this strain within the genus Xanthomonas, and to study the repertoire of virulence‐associated genes and clusters. Xanthomonas sp. 10‐10 belongs to a clearly defined subclade within clade C (group 2), which includes X. vesicatoria, X. dyei and X. pisi. While this strain is closely related to X. pisi, it represents a new species within the genus Xanthomonas. Surprisingly, this strain lacks a type III secretion system, which is the main virulence determinant in pathogenic Xanthomonas spp., but harbours an arsenal of cell wall‐degrading enzymes. The addition of the organosilicone surfactant Silwet L‐77 drastically increased the disease symptoms caused by Xanthomonas sp. 10‐10 on common ragweed plants grown under controlled conditions, but the plants remained alive. This strain also caused disease symptoms on tomato, pepper and lettuce. More research is needed to develop Xanthomonas‐based bioherbicide specifically targeting common ragweed.
Blood donation practices, motivators and barriers in the Caribbean: A narrative review
Authors: Reid Latoya N. , Miller Maureen J. , West‐Mitchell Kamille A. 
Published: November 2024

AbstractAdequacy and safety are the twin prerogatives of the blood transfusion service which in turn is an indispensable component of public health delivery; however, many Caribbean countries have inadequate blood supply for the current and projected demands of their health care systems. Understanding blood donor motivators and barriers is crucial to improving the rate of voluntary non‐remunerated blood donation (VNRD) to meet World Health Organisation (WHO) targets. The objective of this study was to review current research on the landscape of blood donation practices and attitudes in the Caribbean. We undertook a systematic search of electronic databases through September 2023 to identify studies of blood donation practices, knowledge and attitudes, including motivators and barriers to donation in the English‐speaking Caribbean. We identified eight (8) relevant studies of observational study design. VNRD remain relatively uncommon; family replacement or remunerated donations were most common. Barriers to blood donation included lack of a known recipient such as a family member who needed blood, never having been asked to donate, presumed ineligibility to donate, and fear of needles or adverse reactions. Study participants indicated willingness to donate blood if provided more information about the importance of blood donation. There is a paucity of published research regarding blood donor knowledge, motivators and barriers in the Caribbean context. Such research could indicate the necessary interventions for achieving the goals of an adequate and safe blood supply.
Electro-Osmotic Mechanism of Ellis Fluid With Joule Heating, Viscous Dissipation, and Magnetic Field Effects in a Pumping Microtube
Authors: Noreen Saima , Aslam Farida 
Published: November 2024

Abstract
The dynamics of electro-osmotically generated flow of biological viscoelastic fluid in a cylindrical geometry are investigated in this paper. This flux is the result of walls contracting and relaxing sinusoidally in a magnetic environment. The blood's viscoelasticity and shear-thinning viscosity are the primary causes of its non-Newtonian characteristics. Hence, the rheology of the fluid (blood) is accurately captured with the Ellis fluid model. Both Joule heating and viscous dissipation are accounted for during thermal analysis. The electric potential induced in the electric double layer (EDL) is obtained by applying the Debye-Huckel linearization to the nonlinear Poisson-Boltzmann equation. Mathematical modelling is incorporated in cylindrical coordinates in wave frame of reference. Assuming a long wavelength and creeping flow characterized by a low Reynolds number, the Ellis fluid model's governing equations are simplified. The resulting differential equations are evaluated numerically via the built-in tool NDSolve of the Mathematica. Graphical representations are utilized to visually and comprehensively assess the thermal characteristics, flow features, heat transfer coefficient, and skin friction coefficient. Various factors are taken into consideration, including the impact of Ellis fluid parameters, electric double layer, magnetic field, Brinkman number, and Ohmic dissipation. Ellis fluid's axial velocity boosts with a rise of the electro-osmotic parameter and power-law index while decreasing with an increase in the Hartmann number and material fluid parameter. The fluid temperature is directly proportional to EDL parameter and parameters of Ohmic and viscous dissipation. The presence of both electric and magnetic fields may aid in the management and control of Ellis fluid (blood) mobility at different temperatures, which is helpful in controlling bleeding during surgeries. The current model may be used in clinical scenarios involving the gastrointestinal system and capillaries, electrohydrodynamic therapy, delivery of drugs in pharmacological, and biomedical devices. This research creates a theoretical model that can predict the effects of different parameters on the characteristics of fluid flows that are like blood.
Estimation of Joint Kinetics During Manual Material Handling Using Inertial Motion Capture: A Follow-Up Study
Authors: Skals Sebastian , de Zee Mark , Skipper Andersen Michael 
Published: November 2024

Abstract
Musculoskeletal models based on inertial motion capture (IMC) and ground reaction force (GRF) prediction hold great potential for field-based risk assessment of manual material handling (MMH). However, previous evaluations have identified inaccuracies in the methodology's estimation of spinal forces, while the accuracy of other key outcome variables is currently unclear. This study evaluated knee, shoulder, and L5–S1 joint reaction forces (JRFs) derived from a musculoskeletal model based on inertial motion capture and GRF prediction against a model based on simultaneously collected optical motion capture (OMC) and force plate measurements. Data from 19 healthy subjects performing lifts with various horizontal locations (HLs), deposit heights (DHs), and asymmetry angles (AAs) were analyzed, and the consistency and absolute agreement of the model estimates statistically compared. Despite varying levels of agreement across tasks and variables, considerable absolute differences were identified for the L5–S1 axial compression (AC) (root-mean-square error (RMSE) = 63.0–94.2%BW) and anteroposterior (AP) shear forces (RMSE = 40.9–80.6%BW) as well as the bilateral knee JRFs (RMSE = 78.9–117%BW). Glenohumeral JRFs and vertical GRFs exhibited the highest overall consistency (r = 0.33–0.91, median 0.78) and absolute agreement (RMSE = 7.63–34.9%BW), while the L5–S1 axial compression forces also showed decent consistency (r = 0.04–0.89, median 0.80). The findings generally align with prior evaluations, indicating persistent challenges with the accuracy of key outcome variables. While the modeling framework shows promise, further development of the methodology is encouraged to enhance its applicability in ergonomic evaluations.
A comparative analysis of supply chain factors impacting COVID-19 vaccine security in high-income countries (HICs) and low-income and middle-income countries (LMICs)
Authors: Puri Manveen , Veillard Jeremy H , Brown Adalsteinn , Klein David 
Published: November 2024

IntroductionThe COVID-19 pandemic focused attention on the importance of vaccine security to national security. Demand for vaccines far exceeded supply when the first COVID-19 vaccines were released. Growing data suggest a non-perfect correlation among vaccine development, production, purchases, deliveries and vaccination rates. As such, the best approach to strengthening vaccine security remains unclear. In this study, we use an operations research/operations management framework to characterise the relationship between vaccine security and key supply chain predictor variables in high-income countries (HICs) and low-income and middle-income countries (LMICs).MethodsWe performed a comparative analysis of vaccine security against eight supply chain variables in a purposive sample of five HICs and five LMICs during the early phase of the pandemic (31 March 2021 and 30 April 2021). All data were obtained from publicly available databases. We used descriptive statistics to characterise our data, basic statistics to compare data and scatter plots to visualise relationships.ResultsOur data show greater vaccine security in HICs compared with LMICs (32.2% difference in April 2021; 95% CI 4.2% to 60.3%, p=0.03). We report a significant difference between HICs and LMICs in only two of the eight predictor variables studied. Interestingly, we observed large variation in vaccine securitywithinHICs, with Canada, Israel and Japan being frequent outliers, and within LMICs, with India standing out.ConclusionOur data suggest a stronger relationship between vaccine security and ‘downstream’ supply chain variables compared with ‘upstream’ variables. However, multiple outliers and the lack of an even stronger relationship suggests that there is no magic bullet for vaccine security. To boost vaccine resilience, countries must be well governed and strategically reinforce deficient aspects of their supply chains. Modest strength in multiple domains may be the best approach to counteracting the effect of an unfamiliar, novel pathogen.
Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries
Authors: Owek Collins J , Guleid Fatuma Hassan , Maluni Justinah , Jepkosgei Joyline , Were Vincent O , Sim So Yoon , Cw Hutubessy Raymond , Hagedorn Brittany L , Nzinga Jacinta , Oliwa Jacquie 
Published: November 2024

IntroductionThe COVID-19 pandemic had devastating health and socioeconomic effects, partly due to policy decisions to mitigate them. Little evidence exists of approaches that guided decisions in settings with limited pre-pandemic modelling capacity. We thus sought to identify knowledge translation mechanisms, enabling factors and structures needed to effectively translate modelled evidence into policy decisions.MethodsWe used convergent mixed methods in a participatory action approach, with quantitative data from a survey and qualitative data from a scoping review, in-depth interviews and workshop notes. Participants included researchers and policy actors involved in COVID-19 evidence generation and decision-making. They were mostly from lower- and middle-income countries (LMICs) in Africa, Southeast Asia and Latin America. Quantitative and qualitative data integration occurred during data analysis through triangulation and during reporting in a narrative synthesis.ResultsWe engaged 147 researchers and 57 policy actors from 28 countries. We found that the strategies required to use modelled evidence effectively include capacity building of modelling expertise and communication, improved data infrastructure, sustained funding and dedicated knowledge translation platforms. The common knowledge translation mechanisms used during the pandemic included policy briefs, face-to-face debriefings and dashboards. Some enabling factors for knowledge translation comprised solid relationships and open communication between researchers and policymakers, credibility of researchers, co-production of policy questions and embedding researchers in policymaking spaces. Barriers included competition among modellers, negative attitude of policymakers towards research, political influences and demand for quick outputs.ConclusionWe provide a contextualised understanding of knowledge translation for LMICs during the COVID-19 pandemic. Furthermore, we share key lessons on how knowledge translation from mathematical modelling complements the broader learning agenda related to pandemic preparedness and long-term investments in evidence-to-policy translation. Our findings led to the co-development of a knowledge translation framework useful in various settings to guide decision-making, especially for public health emergencies.
Physician perspectives of clinical performance feedback and impact on well-being: a qualitative exploration
Authors: Levoy Emily , Vilendrer Stacie , Dang Rebecca , Nasr Annette S , Luu Jacklyn , Tawfik Daniel , Shanafelt Tait 
Published: November 2024

ObjectivesProviding clinical performance feedback to physicians is an established method to improve care, but the impact on physician well-being is unclear. This evaluation aimed to better understand physician perspectives on clinical feedback and its potential impact on well-being.DesignA qualitative design using semi-structured interviews was undertaken. Data were analysed via consensus coding using an inductive–deductive approach informed by Clinical Performance Feedback Intervention Theory. Findings were used to develop a novel framework describing the relationship between feedback and well-being.SettingInterviews were conducted in a large academic medical centre from June–September 2021.ParticipantsWe conducted 25 semi-structured interviews with general outpatient and inpatient paediatricians and internists.ResultsPhysicians felt that feedback supported well-being based on its perceived purpose (intended to promote professional growth vs serving an alternative purpose), which they discerned based on feedback content (aligned with physician priorities vs not aligned), validity (accurate vs inaccurate), actionability (specific vs not, within a physician’s sphere of control vs not) and delivery (supportive vs punitive). The Clinical Performance Feedback Well-Being Model is presented to understand how feedback and recipient variables impact well-being.ConclusionsAttention to the process and content of physician clinical performance feedback may advance both the quality of care and physician well-being.
Differential target multiplexed spinal cord stimulation in patients with Persistent Spinal Pain Syndrome Type II: a study protocol for a 12-month multicentre cohort study (DETECT)
Authors: Goudman Lisa , De Smedt Ann , Eldabe Sam , Rigoard Philippe , Billot Maxime , Roulaud Manuel ,   DETECT consortium, Moens Maarten 
Published: November 2024

IntroductionDifferential target multiplexed spinal cord stimulation (DTM SCS) is a new stimulation paradigm for chronic pain management with the aim of modulating glial cells and neurons in order to rebalance their interactions. Animal studies revealed positive effects of this type of stimulation; however, studies in humans are still scarce, pointing towards the need for an evaluation of the effectiveness and safety of DTM SCS in clinical settings. Furthermore, the differential target multiplexed (DTM) algorithm consists of a combination of several programmes, which will presumably consume more energy from the spinal cord stimulation (SCS) battery. Therefore, the objective of DETECT is to investigate the feasibility, effectiveness and safety of DTM SCS in patients with Persistent Spinal Pain Syndrome Type II through a longitudinal cohort study.Methods and analysisDETECT is a prospective multicentre cohort study (n≥250) with a follow-up until 12 months after receiving DTM SCS. The study initiated in October 2021 and is currently still recruiting patients. Self-reporting outcome variables were evaluated at baseline (before SCS) and at 1, 6 and 12 months of DTM SCS. The primary effectiveness endpoint is overall pain intensity, measured with the visual analogue scale. Secondary effectiveness outcome measures are back pain intensity, leg pain intensity, disability, health-related quality of life, pain medication use, functional disability, clinical holistic responder status, self-management, impression of change, work status, pain catastrophising, symptoms of central sensitisation, anxiety, depression and healthcare utilisation. Time spent in different body postures and SCS stimulation parameters will be read out from the pulse generator. The prevalence of technical issues, recharge frequency, (serious) adverse events and the proportion of successful DTM trials will be collected as well. Longitudinal mixed models will be calculated to evaluate the effectiveness of DTM SCS over time.Ethics and disseminationThe study protocol was approved by the central Ethics Committee of the Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (B.U.N.1432021000563) and the Ethics Committees of each participating centre. Research findings will be disseminated to key stakeholders through peer-reviewed publications in scientific journals and presentations to clinical audiences.Trial registration numberNCT05068011.