bluuebunny/crossref_metadata_2025_split huggingface dataset:
The co-production process of an assessment programme: Between clarifying identity and developing the quality of French-speaking Belgian community health centres
Authors: Capiau Madeleine , Macq Jean , Thunus Sophie 
Published: February 2024

Abstract
Background
The assessment of primary care organizations is considered to be essential for improving care. However, the assessments’ acceptability to professionals poses a challenge. Developing assessment programmes in collaboration with the end-users is a strategy that is widely encouraged to make interventions better targeted. By doing so, it can help to prevent resistance and encourage adherence to the assessment. This process, however, is rarely reported. This paper aims to fill this gap by describing the process of the co-production of an assessment programme for community health centres (CHCs) affiliated to the Federation of Community Health Centres (FCHC) in French-speaking Belgium.

Methods
We conducted a documentary study on the co-production of the assessment programme before carrying out semi-structured interviews with the stakeholders involved in its development.

Results
CHCs in French-speaking Belgium are increasing in number and are becoming more diverse. For the FCHC, this growth and diversification pose challenges for the meaning of CHC (an identity challenge) and what beneficiaries can expect in terms of the quality of organizations declaring themselves CHC (a quality challenge). Faced with this double challenge, the FCHC decided to develop an assessment programme, initially called Label, using participatory action research. During the co-production process, this initial programme version was abandoned in favour of a new name “DEQuaP”. This new name embodies new objectives and new design regarding the assessment programme. When studying the co-production process, we attributed these changes to two controversies. The first concerns how much and which type of variety is desired among CHCs part of the FCHC. The second concerns the organization of the FCHC in its capacity as a federation. It shed light on tensions between two professional segments that, in this paper, we called “political professionalism” and “pragmatic professionalism”.

Conclusions
These controversies show the importance of underlying challenges behind the development of an assessment programme for CHCs. This provided information about the evolution of the identity of multidisciplinary organizations in primary care. Issues raised in the development of this assessment programme also show the importance of considering assessment methods that reflect and embody the current realities of these organizations and the way of developing these assessment methods.
Crosstalk between KDEL receptor and EGF receptor mediates cell proliferation and migration via STAT3 signaling
Authors: Jia Jie , Zhu Lianhui , Yue Xihua , Tang Shuocheng , Jing Shuaiyang , Tan Chuanting , Du Yulei , Gao Jingkai , Lee Intaek , Qian Yi 
Published: February 2024

AbstractHostile microenvironment of cancer cells provoke a stressful condition for endoplasmic reticulum (ER) and stimulate the expression and secretion of ER chaperones, leading to tumorigenic effects. However, the molecular mechanism underlying these effects is largely unknown. In this study, we reveal that the last four residues of ER chaperones, which are recognized by KDEL receptor (KDELR), is required for cell proliferation and migration induced by secreted chaperones. By combining proximity-based mass spectrometry analysis, split venus imaging and membrane yeast two hybrid assay, we present that EGF receptor (EGFR) may be a co-receptor for KDELR on the surface. Prior to ligand addition, KDELR spontaneously oligomerizes and constantly undergoes recycling near the plasma membrane. Upon KDEL ligand binding, the interactions of KDELR with itself and with EGFR increase rapidly, leading to augmented internalization of KDELR and tyrosine phosphorylation in the C-terminus of EGFR. STAT3, which binds the phosphorylated tyrosine motif on EGFR, is subsequently activated by EGFR and mediates cell growth and migration. Taken together, our results suggest that KDELR serves as a bona fide cell surface receptor for secreted ER chaperones and transactivates EGFR-STAT3 signaling pathway.
An angel or a devil? Current view on the role of CD8+ T cells in the pathogenesis of myasthenia gravis
Authors: Peng Yong , Yang Huan , Chen Quan , Jin Hong , Xue Ya-hui , Du Miao-qiao , Liu Shu , Yao Shun-yu 
Published: February 2024

Abstract
Background
Myasthenia gravis (MG) and the experimental autoimmune MG (EAMG) animal model are characterized by T-cell-induced and B-cell-dominated autoimmune diseases that affect the neuromuscular junction. Several subtypes of CD4+ T cells, including T helper (Th) 17 cells, follicular Th cells, and regulatory T cells (Tregs), contribute to the pathogenesis of MG. However, increasing evidence suggests that CD8+ T cells also play a critical role in the pathogenesis and treatment of MG.

Main body
Herein, we review the literature on CD8+ T cells in MG, focusing on their potential effector and regulatory roles, as well as on relevant evidence (peripheral, in situ, cerebrospinal fluid, and under different treatments), T-cell receptor usage, cytokine and chemokine expression, cell marker expression, and Treg, Tc17, CD3+CD8+CD20+ T, and CXCR5+ CD8+ T cells.

Conclusions
Further studies on CD8+ T cells in MG are necessary to determine, among others, the real pattern of the Vβ gene usage of autoantigen-specific CD8+ cells in patients with MG, real images of the physiology and function of autoantigen-specific CD8+ cells from MG/EAMG, and the subset of autoantigen-specific CD8+ cells (Tc1, Tc17, and IL-17+IFN-γ+CD8+ T cells). There are many reports of CD20-expressing T (or CD20 + T) and CXCR5+ CD8 T cells on autoimmune diseases, especially on multiple sclerosis and rheumatoid arthritis. Unfortunately, up to now, there has been no report on these T cells on MG, which might be a good direction for future studies.
Clinical data mining: challenges, opportunities, and recommendations for translational applications
Authors: Qiao Huimin , Chen Yijing , Qian Changshun , Guo You 
Published: February 2024

AbstractClinical data mining of predictive models offers significant advantages for re-evaluating and leveraging large amounts of complex clinical real-world data and experimental comparison data for tasks such as risk stratification, diagnosis, classification, and survival prediction. However, its translational application is still limited. One challenge is that the proposed clinical requirements and data mining are not synchronized. Additionally, the exotic predictions of data mining are difficult to apply directly in local medical institutions. Hence, it is necessary to incisively review the translational application of clinical data mining, providing an analytical workflow for developing and validating prediction models to ensure the scientific validity of analytic workflows in response to clinical questions. This review systematically revisits the purpose, process, and principles of clinical data mining and discusses the key causes contributing to the detachment from practice and the misuse of model verification in developing predictive models for research. Based on this, we propose a niche-targeting framework of four principles: Clinical Contextual, Subgroup-Oriented, Confounder- and False Positive-Controlled (CSCF), to provide guidance for clinical data mining prior to the model's development in clinical settings. Eventually, it is hoped that this review can help guide future research and develop personalized predictive models to achieve the goal of discovering subgroups with varied remedial benefits or risks and ensuring that precision medicine can deliver its full potential.
Efficacy of natural products on premature ovarian failure: a systematic review and meta-analysis of preclinical studies
Authors: Hu Hangqi , Zhang Jiacheng , Xin Xiyan , Jin Yuxin , Zhu Yutian , Zhang Haolin , Fan Ruiwen , Ye Yang , Li Dong 
Published: February 2024

Abstract
Objective
This study aims to investigate the effects of natural products on animal models of premature ovarian failure (POF).

Methods
We conducted comprehensive literature searches and identified relevant studies that examined the protective effects of natural products on experimental POF. We extracted quantitative data on various aspects such as follicular development, ovarian function, physical indicators, oxidative stress markers, inflammatory factors, and protein changes. The data was analyzed using random-effects meta-analyses, calculating pooled standardized mean differences and 95% confidence intervals. Heterogeneity was assessed using the I2 statistic, and bias was estimated using the SYRCLE tool.

Results
Among the 879 reviewed records, 25 articles met our inclusion criteria. These findings demonstrate that treatment with different phytochemicals and marine natural products (flavonoids, phenols, peptides, and alkaloids, etc.) significantly improved various aspects of ovarian function compared to control groups. The treatment led to an increase in follicle count at different stages, elevated levels of key hormones, and a decrease in atretic follicles and hormone levels associated with POF. This therapy also reduced oxidative stress (specifically polyphenols, resveratrol) and apoptotic cell death (particularly flavonoids, chrysin) in ovarian granulosa cells, although it showed no significant impact on inflammatory responses. The certainty of evidence supporting these findings ranged from low to moderate.

Conclusions
Phytochemicals and marine natural product therapy (explicitly flavonoids, phenols, peptides, and alkaloids) has shown potential in enhancing folliculogenesis and improving ovarian function in animal models of POF. These findings provide promising strategies to protect ovarian reserve and reproductive health. Targeting oxidative stress and apoptosis pathways may be the underlying mechanism.
Undetectable off-target effects induced by FokI catalytic domain in mouse embryos
Authors: Xie Long , Feng Hu , Li Zhifang , Li Di , Yang Xiali , Yuan Tanglong , Yan Nana , He Chenfei , Zheng Jitan , Zuo Zhenrui , Zheng Yaxuan , Cao Yaqi , Lu Yangqing , Xiong Xing Yao , Zuo Erwei 
Published: February 2024

AbstractThe FokI catalytic domain can be fused to various DNA binding architectures to improve the precision of genome editing tools. However, evaluation of off-target effects is essential for developing these tools. We use Genome-wide Off-target analysis by Two-cell embryo Injection (GOTI) to detect low-frequency off-target editing events in mouse embryos injected with FokI-based architectures. Specifically, we test FokI-heterodimers fused with TALENs, FokI homodimers fused with RYdCas9, or FokI catalytic domains alone resulting in no significant off-target effects. These FokI genome editing systems exhibit undetectable off-target effects in mouse embryos, supporting the further development of these systems for clinical applications.
Can absence of cardiac activity on point-of-care echocardiography predict death in out-of-hospital cardiac arrest? A systematic review and meta-analysis
Authors: Albaroudi Omar , Albaroudi Bilal , Haddad Mahmoud , Abdle-Rahman Manar E. , Kumar Thirumoothy Samy Suresh , Jarman Robert David , Harris Tim 
Published: February 2024

Abstract
Aim
The purpose of this systematic review and meta-analysis was to evaluate the accuracy of the absence of cardiac motion on point-of-care echocardiography (PCE) in predicting termination of resuscitation (TOR), short-term death (STD), and long-term death (LTD), in adult patients with cardiac arrest of all etiologies in out-of-hospital and emergency department setting.

Methods
A systematic review and meta-analysis was conducted based on PRISMA guidelines. A literature search in Medline, EMBASE, Cochrane, WHO registry, and ClinicalTrials.gov was performed from inspection to August 2022. Risk of bias was evaluated using QUADAS-2 tool. Meta-analysis was divided into medical cardiac arrest (MCA) and traumatic cardiac arrest (TCA). Sensitivity and specificity were calculated using bivariate random-effects, and heterogeneity was analyzed using I2 statistic.

Results
A total of 27 studies (3657 patients) were included in systematic review. There was a substantial variation in methodologies across the studies, with notable difference in inclusion criteria, PCE timing, and cardiac activity definition. In MCA (15 studies, 2239 patients), the absence of cardiac activity on PCE had a sensitivity of 72% [95% CI 62–80%] and specificity of 80% [95% CI 58–92%] to predict LTD. Although the low numbers of studies in TCA preluded meta-analysis, all patients who lacked cardiac activity on PCE eventually died.

Conclusions
The absence of cardiac motion on PCE for MCA predicts higher likelihood of death but does not have sufficient accuracy to be used as a stand-alone tool to terminate resuscitation. In TCA, the absence of cardiac activity is associated with 100% mortality rate, but low number of patients requires further studies to validate this finding. Future work would benefit from a standardized protocol for PCE timing and agreement on cardiac activity definition.
An application of decision theory on the approximation of a generalized Apollonius-type quadratic functional equation
Authors: Ahadi Azam , Saadati Reza , Allahviranloo Tofigh , O’Regan Donal 
Published: February 2024

AbstractTo make better decisions on approximation, we may need to increase reliable and useful information on different aspects of approximation. To enhance information about the quality and certainty of approximating the solution of an Apollonius-type quadratic functional equation, we need to measure both the quality and the certainty of the approximation and the maximum errors. To measure the quality of it, we use fuzzy sets, and to achieve its certainty, we use the probability distribution function. To formulate the above problem, we apply the concept of Z-numbers and introduce a special matrix of the form $\mathrm{diag}(A, B, C)$
diag
(
A
,
B
,
C
)
(named the generalized Z-number) where A is a fuzzy time-stamped set, B is the probability distribution function, and C is a degree of reliability of A that is described as a value of $A\ast B$
A
∗
B
. Using generalized Z-numbers, we define a novel control function to investigate H–U–R stability to approximate the solution of an Apollonius-type quadratic functional equation with quality and certainty of the approximation.
Approximation with Szász-Chlodowsky operators employing general-Appell polynomials
Authors: Raza Nusrat , Kumar Manoj , Mursaleen M. 
Published: February 2024

AbstractThis article explores a Chlodowsky-type extension of Szász operators using the general-Appell polynomials. The convergence properties of these operators are established by employing the universal Korovkin-type property, and the order of approximation is determined using the classical modulus of continuity. Additionally, the weighted $\mathfrak{B}$
B
-statistical convergence and statistically weighted $\mathfrak{B}$
B
-summability properties of the operators are derived. Theoretical results are supported by numerical and graphical examples.
Analysis of relevant factors influencing size of breast abscess cavity during lactation: a cross-sectional study
Authors: Yajun Gao , Yan Zou , Yi Zhang , si Chen , yan Li , Songtao Ding 
Published: February 2024

Abstract
Objective
The aim of this study was to investigate risk factors for the severity of breast abscess during lactation.

Methods
A cross-sectional study was conducted using data from the Questionnaire survey of breast abscess patients. According to whether the maximum abscess diameter > 5 cm, the patients were divided into two groups for univariate and multivariate regression analysis.

Results
1805 valid questionnaires were included. Univariate and Binary logistic regression analysis demonstrated that low education (OR = 1.5, 95% CI 1.1–2.0, P = 0.005), non-exclusive breastfeeding (OR = 0.7, 95% CI 0.6–0.9, P = 0.004), fever > 37.5 ℃ (OR = 0.7, 95% CI 0.6–0.9, P = 0.003), flat or inverted nipples (OR = 0.7, 95% CI 0.6–0.9, P = 0.005), antibiotic used (OR = 0.7, 95% CI 0.6–0.9, P = 0.006), and non-medical massage (OR = 0.3, 95% CI 0.2–0.4, P < 0.001) were the effective independent influencing factors for the maximum breast abscess diameter > 5 cm.

Conclusion
Low education, non-exclusive breastfeeding, fever > 37.5 ℃, inverted or flat nipples, antibiotic used, and non-medical massage history have adverse effects on the severity of breast abscess during lactation.
Integrated modelling of the determinants of household food insecurity during the 2020–2021 COVID-19 lockdown in Uganda
Authors: Semakula Henry Musoke , Liang Song , McKune Sarah Lindley , Mukwaya Paul Isolo , Mugagga Frank , Nseka Denis , Wasswa Hannington , Kayima Patrick , Achuu Simon Peter , Mwendwa Patrick , Nakato Jovia 
Published: February 2024

Abstract
Background
The determinants of household food insecurity (HFI) do not act in isolation, and are known to be complex, stochastic, nonlinear, and multidimensional. Despite this being especially true in periods of shocks, studies that focus on integrated modelling of the HFI determinants during the COVID-19 lockdown are scarce, with no available evidence on Uganda. The main objective of this study was to develop Bayesian belief network (BBN) models to analyse, rank, and illustrate the conceptual reasoning, and complex causal relationships among the determinants of HFI during the COVID-19 lockdown. This study was based on seven rounds of Uganda’s High-Frequency Phone Surveys data sets collected during the lockdown. A total of 15,032 households, 17 independent determinants of HFI, and 8 food security indicators were used in this study. Metrics of sensitivity, and prediction performance were used to evaluate models’ accuracy.

Results
Eight BBN models were developed for each food insecurity indicator. The accuracy rates of the models ranged between 70.5% and 93.5%, with an average accuracy rate of 78.5%, indicating excellent predictive performance in identifying the determinants of HFI correctly. Our results revealed that approximately 42.2% of the sampled households (n = 15,032) in Uganda were worried about not having enough food. An estimated 25.2% of the respondents reported skipping a meal, while 32.1% reported consuming less food. Less than 20% of the households experienced food shortage, hunger, or having nothing to eat. Overall, 30.6% of the households were food insecure during the lockdown. The top five ranked determinants of HFI were identified as follows: (1) households’ inability to produce enough food; (2) households’ inability to buy food; (3) reduced household income; (4) limited cash assistance, and (5) households’ inability to stock adequate food supplies.

Conclusions
Ranking, rather than the statistical significance of the determinants of HFI, is crucial as an approach to applied research, as it helps stakeholders determine how to allocate resources for targeted interventions within the constraints of limited funding. These findings emphasize the importance of intervening on the most highly ranked determinants of HFI to enhance the resilience of local food systems, and households’ capacity to cope with recurring and unforeseen shocks.
Finding biomarkers of experience in animals
Authors: Babington Sarah , Tilbrook Alan J. , Maloney Shane K. , Fernandes Jill N. , Crowley Tamsyn M. , Ding Luoyang , Fox Archa H. , Zhang Song , Kho Elise A. , Cozzolino Daniel , Mahony Timothy J. , Blache Dominique 
Published: February 2024

AbstractAt a time when there is a growing public interest in animal welfare, it is critical to have objective means to assess the way that an animal experiences a situation. Objectivity is critical to ensure appropriate animal welfare outcomes. Existing behavioural, physiological, and neurobiological indicators that are used to assess animal welfare can verify the absence of extremely negative outcomes. But welfare is more than an absence of negative outcomes and an appropriate indicator should reflect the full spectrum of experience of an animal, from negative to positive. In this review, we draw from the knowledge of human biomedical science to propose a list of candidate biological markers (biomarkers) that should reflect the experiential state of non-human animals. The proposed biomarkers can be classified on their main function as endocrine, oxidative stress, non-coding molecular, and thermobiological markers. We also discuss practical challenges that must be addressed before any of these biomarkers can become useful to assess the experience of an animal in real-life.
Gut dysbiosis induces the development of depression-like behavior through abnormal synapse pruning in microglia-mediated by complement C3
Authors: Hao Wenzhi , Ma Qingyu , Wang Lu , Yuan Naijun , Gan Hua , He Liangliang , Li Xiaojuan , Huang Junqing , Chen Jiaxu 
Published: February 2024

Abstract
Background
Remodeling eubiosis of the gut microenvironment may contribute to preventing the occurrence and development of depression. Mounting experimental evidence has shown that complement C3 signaling is associated with the pathogenesis of depression, and disruption of the gut microbiota may be an underlying cause of complement system activation. However, the mechanism by which complement C3 participates in gut-brain crosstalk in the pathogenesis of depression remains unknown.

Results
In the present study, we found that chronic unpredictable mild stress (CUMS)-induced mice exhibited obvious depression-like behavior as well as cognitive impairment, which was associated with significant gut dysbiosis, especially enrichment of Proteobacteria and elevation of microbiota-derived lipopolysaccharides (LPS). In addition, peripheral and central complement C3 activation and central C3/CR3-mediated aberrant synaptic pruning in microglia have also been observed. Transplantation of gut microbiota from CUMS-induced depression model mice into specific pathogen-free and germ-free mice induced depression-like behavior and concomitant cognitive impairment in the recipient mice, accompanied by increased activation of the complement C3/CR3 pathway in the prefrontal cortex and abnormalities in microglia-mediated synaptic pruning. Conversely, antidepressants and fecal microbiota transplantation from antidepressant-treated donors improved depression-like behaviors and restored gut microbiome disturbances in depressed mice. Concurrently, inhibition of the complement C3/CR3 pathway, amelioration of abnormal microglia-mediated synaptic pruning, and increased expression of the synapsin and postsynaptic density protein 95 were observed. Collectively, our results revealed that gut dysbiosis induces the development of depression-like behaviors through abnormal synapse pruning in microglia-mediated by complement C3, and the inhibition of abnormal synaptic pruning is the key to targeting microbes to treat depression.

Conclusions
Our findings provide novel insights into the involvement of complement C3/CR3 signaling and aberrant synaptic pruning of chemotactic microglia in gut-brain crosstalk in the pathogenesis of depression.