bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revisiting the Construct Validity of Self-Regulating Capacity in Vocabulary Learning Scale: The Confirmatory Composite Analysis (CCA) Approach
Authors: Alamer Abdullah , Teng Mark Feng , Mizumoto Atsushi 
Published: April 2024

Abstract
Research into self-regulating capacity in vocabulary learning is recognized as a significant topic within the second language domain. The self-regulating capacity in vocabulary learning scale (SRCvoc; Tseng et al. 2006) is arguably the most widely used tool for assessing this construct. The common factor model, which is applied through confirmatory factor analysis and exploratory factor analysis, has been the primary methods for validating the SRCvoc. However, previous studies have encountered difficulties in obtaining good model fit and generated results that deviate from supporting the theory. We argue the constructs of the SRCvoc are inherently composites, rather than common factors, and should therefore be evaluated using confirmatory composite analysis. In this study, we compared the results of CFA and CCA, highlighting the shortcomings of CFA in supporting the construct validity of composite constructs such as SRCvoc. CFA failed to satisfy the conceptual and empirical perspectives of SRCvoc. In contrast, our data supported the construct validity of SRCvoc solely through CCA. We also evaluated the criterion-related validity of SRCvoc via the composite model and showed that SRCvoc constructs were positively and moderately associated with L2 vocabulary achievement.
Individualized dynamic latent factor model for multi-resolutional data with application to mobile health
Authors: Zhang J , Xue F , Xu Q , Lee J , Qu A 
Published: April 2024

Summary
Mobile health has emerged as a major success for tracking individual health status, due to the popularity and power of smartphones and wearable devices. This has also brought great challenges in handling heterogeneous, multi-resolution data that arise ubiquitously in mobile health due to irregular multivariate measurements collected from individuals. In this paper, we propose an individualized dynamic latent factor model for irregular multi-resolution time series data to interpolate unsampled measurements of time series with low resolution. One major advantage of the proposed method is the capability to integrate multiple irregular time series and multiple subjects by mapping the multi-resolution data to the latent space. In addition, the proposed individualized dynamic latent factor model is applicable to capturing heterogeneous longitudinal information through individualized dynamic latent factors. Our theory provides a bound on the integrated interpolation error and the convergence rate for B-spline approximation methods. Both the simulation studies and the application to smartwatch data demonstrate the superior performance of the proposed method compared to existing methods.
Individualized prediction of anxiety and depressive symptoms using gray matter volume in a non-clinical population
Authors: Zhang Ning , Chen Shuning , Jiang Keying , Ge Wei , Im Hohjin , Guan Shunping , Li Zixi , Wei Chuqiao , Wang Pinchun , Zhu Ye , Zhao Guang , Liu Liqing , Chen Chunhui , Chang Huibin , Wang Qiang 
Published: April 2024

Abstract
Machine learning is an emerging tool in clinical psychology and neuroscience for the individualized prediction of psychiatric symptoms. However, its application in non-clinical populations is still in its infancy. Given the widespread morphological changes observed in psychiatric disorders, our study applies five supervised machine learning regression algorithms—ridge regression, support vector regression, partial least squares regression, least absolute shrinkage and selection operator regression, and Elastic-Net regression—to predict anxiety and depressive symptom scores. We base these predictions on the whole-brain gray matter volume in a large non-clinical sample (n = 425). Our results demonstrate that machine learning algorithms can effectively predict individual variability in anxiety and depressive symptoms, as measured by the Mood and Anxiety Symptoms Questionnaire. The most discriminative features contributing to the prediction models were primarily located in the prefrontal-parietal, temporal, visual, and sub-cortical regions (e.g. amygdala, hippocampus, and putamen). These regions showed distinct patterns for anxious arousal and high positive affect in three of the five models (partial least squares regression, support vector regression, and ridge regression). Importantly, these predictions were consistent across genders and robust to demographic variability (e.g. age, parental education, etc.). Our findings offer critical insights into the distinct brain morphological patterns underlying specific components of anxiety and depressive symptoms, supporting the existing tripartite theory from a neuroimaging perspective.
Common mistakes and evidence-based approaches in goals-of-care conversations for seriously ill older adults in cardiac care unit
Authors: Manning Katharine A , Bowman Jason , Nakagawa Shunichi , Ouchi Kei 
Published: April 2024

Abstract
For older adults with serious, life-limiting illnesses near the end of life, clinicians frequently face difficult decisions about the medical care they provide because of clinical uncertainty. This difficulty is further complicated by unique challenges and medical advancements for patients with advanced heart diseases. In this article, we describe common mistakes encountered by clinicians when having goals-of-care conversations (e.g. conversations between clinicians and seriously ill patients/surrogates to discuss patient’s values and goals for clinical care near the end of life.). Then, we delineate an evidence-based approach in goals-of-care conversations and highlight the unique challenges around decision-making in the cardiac intensive care unit.
Duration of adenosine-induced myocardial hyperaemia: insights from quantitative 13N-ammonia positron emission tomography myocardial perfusion imaging
Authors: Garefa Chrysoula , Sager Dominik F , Heiniger Pascal S , Markendorf Susanne , Albertini Tobia , Jurisic Stjepan , Gajic Marko , Gebhard Catherine , Benz Dominik C , Pazhenkottil Aju P , Giannopoulos Andreas A , Kaufmann Philipp A , Slomka Piotr J , Buechel Ronny R 
Published: April 2024

Abstract

Aims
This study aimed to assess the impact of adenosine on quantitative myocardial blood flow (MBF) in a rapid stress–rest protocol compared with a rest–stress protocol using 13N-ammonia positron emission tomography (PET) myocardial perfusion imaging (MPI) and to gain insights into the time dependency of such effects.

Methods and results
Quantitative MBF at rest (rMBF) and during adenosine-induced stress (sMBF) and myocardial flow reserve (MFR) were obtained from 331 retrospectively identified patients who underwent 13N-ammonia PET MPI for suspected chronic coronary syndrome and who all exhibited no perfusion defects. Of these, 146 (44.1%) underwent a rapid stress–rest protocol with a time interval (Δtstress–rest) of 20 ± 4 min between adenosine infusion offset and rest imaging, as per clinical routine. The remaining 185 (55.9%) patients underwent a rest–stress protocol and served as the reference. Groups did not differ regarding demographics, risk factors, medication, left ventricular function, and calcium scores. rMBF was significantly higher in the stress–rest vs. the rest–stress group [0.80 (interquartile range 0.66–1.00) vs. 0.70 (0.58–0.83) mL·min−1·g−1, P &lt; 0.001], and, as sMBF was identical between groups [2.52 (2.20–2.96) vs. 2.50 (1.96–3.11), P = 0.347], MFR was significantly lower in the stress–rest group [3.07 (2.43–3.88) vs. 3.50 (2.63–4.10), P = 0.007]. There was a weak correlation between Δtstress–rest and rMBF (r = −0.259, P = 0.002) and between Δtstress–rest and MFR (r = 0.163, P = 0.049), and the proportion of patients with abnormally high rMBF was significantly decreasing with increasing Δtstress–rest.

Conclusion
Intravenously applied adenosine induces a long-lasting hyperaemic effect on the myocardium. Consequently, rapid stress–rest protocols could lead to an overestimation of rMBF and an underestimation of MFR.
Contemporary trends in incident ischaemic stroke, intracranial haemorrhage, and mortality in individuals with atrial fibrillation
Authors: Noubiap Jean Jacques , Tang Janet J , Dewland Thomas A , Marcus Gregory M 
Published: April 2024

Abstract

Background
The prognosis for atrial fibrillation (AF) patients is based on data that is decades old. Given evolving standards of clinical practice, we sought to evaluate temporal trends in clinically important outcomes among patients with AF.

Methods and results
California's Department of Health Care Access and Information databases were used to identify adults aged ≥18 years with AF receiving hospital-based care in California. We compared three time-periods: 2005–2009, 2010–2014, and 2015–2019. International Classification of Diseases codes were used to identify chronic diseases and acute events. The outcomes were incident ischaemic stroke, intracranial haemorrhage, and overall mortality. We included 2 009 832 patients with AF (52.7% males, 70.7% Whites, and mean age of 75.0 years), divided in three cohorts: 2005–2009 (n = 738 954), 2010–2014 (n = 609 447), and 2015–2019 (n = 661 431). Each outcome became substantially less common with time: compared with 2005–2009, AF patients diagnosed in 2015–2019 experienced a 34% (adjusted hazard ratio [HR] 0.66, 95% confidence interval 0.64–0.69), 22% (HR 0.78, 0.75–0.82), and 24% (HR 0.76, 0.75–0.77) reduction in risk of incident ischaemic stroke, intracranial haemorrhage, and mortality, respectively. Between 2005–2009 and 2015–2019, patients aged ≥65 years experienced more reductions in each outcome compared with younger patients (P &lt; 0.001 for all), and declines in each outcome were significantly lower for Hispanics and Blacks compared with white patients.

Conclusion
The risks of stroke, intracranial haemorrhage, and death have significantly declined among AF patients, although differences in the magnitude of improvement of these outcomes by demographic groups were observed. Commonly described estimates of the prognosis for AF patients should be updated to reflect contemporary care.
A novel mutation in the NR3C1 gene associated with reversible glucocorticoid resistance
Authors: Laulhé Margaux , Kuhn Emmanuelle , Bouligand Jérôme , Amazit Larbi , Perrot Julie , Lebigot Elise , Kamenickỷ Peter , Lombès Marc , Fagart Jérôme , Viengchareun Say , Martinerie Laetitia 
Published: April 2024

Abstract

Objective
Glucocorticoid resistance is a rare endocrine disease caused by variants of the NR3C1 gene encoding the glucocorticoid receptor (GR). We identified a novel heterozygous variant (GRR569Q) in a patient with uncommon reversible glucocorticoid resistance syndrome.

Methods
We performed ex vivo functional characterization of the variant in patient fibroblasts and in vitro through transient transfection in undifferentiated HEK 293T cells to assess transcriptional activity, affinity, and nuclear translocation. We studied the impact of the variant on the tertiary structure of the ligand-binding domain through 3D modeling.

Results
The patient presented initially with an adrenal adenoma with mild autonomous cortisol secretion and undetectable adrenocorticotropin hormone (ACTH) levels. Six months after surgery, biological investigations showed elevated cortisol and ACTH (urinary free cortisol 114 µg/24 h, ACTH 10.9 pmol/L) without clinical symptoms, evoking glucocorticoid resistance syndrome. Functional characterization of the GRR569Q showed decreased expression of target genes (in response to 100 nM cortisol: SGK1 control +97% vs patient +20%, P &lt; .0001) and impaired nuclear translocation in patient fibroblasts compared to control. Similar observations were made in transiently transfected cells, but higher cortisol concentrations overcame glucocorticoid resistance. GRR569Q showed lower ligand affinity (Kd GRWT: 1.73 nM vs GRR569Q: 4.61 nM). Tertiary structure modeling suggested a loss of hydrogen bonds between H3 and the H1–H3 loop.

Conclusion
This is the first description of a reversible glucocorticoid resistance syndrome with effective negative feedback on corticotroph cells regarding increased plasma cortisol concentrations due to the development of mild autonomous cortisol secretion.
On the variability of dynamic functional connectivity assessment methods
Authors: Torabi Mohammad , Mitsis Georgios D , Poline Jean-Baptiste 
Published: April 2024

Abstract

Background
Dynamic functional connectivity (dFC) has become an important measure for understanding brain function and as a potential biomarker. However, various methodologies have been developed for assessing dFC, and it is unclear how the choice of method affects the results. In this work, we aimed to study the results variability of commonly used dFC methods.

Methods
We implemented 7 dFC assessment methods in Python and used them to analyze the functional magnetic resonance imaging data of 395 subjects from the Human Connectome Project. We measured the similarity of dFC results yielded by different methods using several metrics to quantify overall, temporal, spatial, and intersubject similarity.

Results
Our results showed a range of weak to strong similarity between the results of different methods, indicating considerable overall variability. Somewhat surprisingly, the observed variability in dFC estimates was found to be comparable to the expected functional connectivity variation over time, emphasizing the impact of methodological choices on the final results. Our findings revealed 3 distinct groups of methods with significant intergroup variability, each exhibiting distinct assumptions and advantages.

Conclusions
Overall, our findings shed light on the impact of dFC assessment analytical flexibility and highlight the need for multianalysis approaches and careful method selection to capture the full range of dFC variation. They also emphasize the importance of distinguishing neural-driven dFC variations from physiological confounds and developing validation frameworks under a known ground truth. To facilitate such investigations, we provide an open-source Python toolbox, PydFC, which facilitates multianalysis dFC assessment, with the goal of enhancing the reliability and interpretability of dFC studies.
euAP2a, a key gene that regulates flowering time in peach (Prunus persica) by modulating thermo-responsive transcription programming
Authors: Liu Jianyang , Bennett Dennis , Demuth Mark , Burchard Erik , Artlip Tim , Dardick Chris , Liu Zongrang 
Published: April 2024

Abstract
Frequent spring frost damage threatens temperate fruit production, and breeding of late-flowering cultivars is an effective strategy for preventing such damage. However, this effort is often hampered by the lack of specific genes and markers and a lack of understanding of the mechanisms. We examined a Late-Flowering Peach (LFP) germplasm and found that its floral buds require a longer chilling period to release from their dormancy and a longer warming period to bloom than the control cultivar, two key characteristics associated with flowering time. We discovered that a 983-bp deletion in euAP2a, an APETALA2 (AP2)-related gene with known roles in regulating floral organ identity and flowering time, was primarily responsible for late flowering in LFP. This deletion disrupts an miR172 binding site, resulting in a gain-of-function mutation in euAP2a. Transcriptomic analyses revealed that at different stages of floral development, two chilling-responsive modules and four warm-responsive modules, comprising approximately 600 genes, were sequentially activated, forming a unique transcription programming. Furthermore, we found that euAP2a was transiently downregulated during the activation of these thermal-responsive modules at various stages. However, the loss of such transient, stage-specific downregulation of euAP2a caused by the deletion of miR172 binding sites resulted in the deactivation or delay of these modules in the LFP flower buds, suggesting that euAP2a acts as a transcription repressor to control floral developmental pace in peaches by modulating the thermo-responsive transcription programming. The findings shed light on the mechanisms behind late flowering in deciduous fruit trees, which is instrumental for breeding frost-tolerant cultivars.
HortGenome Search Engine, a universal genomic search engine for horticultural crops
Authors: Wang Sen , Wei Shangxiao , Deng Yuling , Wu Shaoyuan , Peng Haixu , Qing You , Zhai Xuyang , Zhou Shijie , Li Jinrong , Li Hua , Feng Yijian , Yi Yating , Li Rui , Zhang Hui , Wang Yiding , Zhang Renlong , Ning Lu , Yao Yuncong , Fei Zhangjun , Zheng Yi 
Published: April 2024

Abstract
Horticultural crops comprising fruit, vegetable, ornamental, beverage, medicinal and aromatic plants play essential roles in food security and human health, as well as landscaping. With the advances of sequencing technologies, genomes for hundreds of horticultural crops have been deciphered in recent years, providing a basis for understanding gene functions and regulatory networks and for the improvement of horticultural crops. However, these valuable genomic data are scattered in warehouses with various complex searching and displaying strategies, which increases learning and usage costs and makes comparative and functional genomic analyses across different horticultural crops very challenging. To this end, we have developed a lightweight universal search engine, HortGenome Search Engine (HSE; http://hort.moilab.net), which allows for the querying of genes, functional annotations, protein domains, homologs, and other gene-related functional information of more than 500 horticultural crops. In addition, four commonly used tools, including ‘BLAST’, ‘Batch Query’, ‘Enrichment analysis’, and ‘Synteny Viewer’ have been developed for efficient mining and analysis of these genomic data.
Clinical outcomes after hip arthroscopy in acetabular dysplastic patients, previously treated with periacetabular osteotomy: a minimum of two-year follow-up data from the Danish Hip Arthroscopy Registry
Authors: Mygind-Klavsen Bjarne , Lund Bent , Nielsen Torsten Grønbech , Lind Martin 
Published: April 2024

ABSTRACT
Periacetabular osteotomy (PAO) is the treatment of choice in dysplastic acetabulum. Due to continued symptoms, 2–11% of these patients require an additional hip arthroscopy. The purpose of this study was to report clinical outcome after a minimum of 2-year follow-up of additional hip arthroscopy after PAO with data from Danish Hip Arthroscopy Registry. Inclusion criteria in the study cohort were PAO surgery resulting in an additional hip arthroscopy procedure. The cohort was evaluated according to the surgical findings and patient-related outcome measures (PROMs) pre-operatively and at 2-year follow-up. A total of 287 patients were included in the study cohort. PROMs improved significantly in all subscales from pre-operatively to 2-year follow-up in the study cohort. According to PROM subscales, 47.8–57.6% and 25.2–38.2% achieved Minimal Clinical Important Difference and Patient Acceptable Symptom State, respectively. This study demonstrates, in PAO-treated patients, significant PROM improvements after additional hip arthroscopy. Unfortunately, only ∼50% and 30% achieved Minimal Clinical Important Difference and Patient Acceptable Symptom State, respectively.
Salpingectomy for ectopic pregnancy reduces ovarian cancer risk—a nationwide study
Authors: Yen Ju-Chuan , Wu Tzu-I , Stone Rebecca , Wang Tian-Li , Visvanathan Kala , Chen Li-Ying , Hsu Min-Huei , Shih Ie-Ming 
Published: April 2024

Abstract
Recent studies propose fallopian tubes as the tissue origin for many ovarian epithelial cancers. To further support this paradigm, we assessed whether salpingectomy for treating ectopic pregnancy had a protective effect using the Taiwan Longitudinal National Health Research Database. We identified 316 882 women with surgical treatment for ectopic pregnancy and 3 168 820 age- and index-date-matched controls from 2000 to 2016. In a nested cohort, 91.5% of cases underwent unilateral salpingectomy, suggesting that most surgically managed patients have salpingectomy. Over a follow-up period of 17 years, the ovarian carcinoma incidence was 0.0069 (95% confidence interval [CI] = 0.0060 to 0.0079) and 0.0089 (95% CI = 0.0086 to 0.0092) in the ectopic pregnancy and the control groups, respectively (P &lt; .001). After adjusting the events to per 100 person-years, the hazard ratio (HR) in the ectopic pregnancy group was 0.70 (95% CI = 0.61 to 0.80). The risk reduction occurred only in epithelial ovarian cancer (HR = 0.73, 95% CI = 0.63 to 0.86) and not in non-epithelial subtypes. These findings show a decrease in ovarian carcinoma incidence after salpingectomy for treating ectopic pregnancy.
Use of kersetin and fisetin flavonoids in combination with pregabalin and gabapentin in the treatment of neuropathic pain
Authors: Karabacak Elif , Eken Hazal , Dallali Ilhem , Arslan Rana 
Published: April 2024

Abstract
We purposed to explore the consequences of the use quercetin and fisetin alone and in combination with pregabalin and gabapentin, which are used in the management of neuropathic pain, and on neuropathic pain in general. The anti-allodynic effect of various doses (5, 10, and 20 mg/kg) of quercetin and fisetin, both singly and in combination with pregabalin and gabapentin, was evaluated by developing a neuropathic pain model induced by chronic constrictive nerve damage in rats. The effectiveness of these flavonoids was investigated by combining them with gabapentin (50 mg/kg) and pregabalin (15 mg/kg), choosing the effectual dose of 10 mg/kg and the dose of 5 mg/kg, which did not show significant antiallodynic effects. In groups combined with gabapentin and pregabalin, it was determined that they showed a significant antiallodynic effect compared with 50 mg/kg gabapentin and 15 mg/kg pregabalin. In conclusion, in our combination studies, it was observed that the effectiveness of gabapentin and pregabalin, was increased and the duration of effect was prolonged when used with lower doses of flavonoids. Based on these findings; it is possible to say that quercetin and fisetin are potential agents that can be used alone or in combination with other effective treatments to alleviate neuropathic pain.
Hydrogen-rich solution alleviates acute radiation pneumonitis by regulating oxidative stress and macrophages polarization
Authors: Yin Zhen , Xu Wenjing , Ling Junjun , Ma Lihai , Zhang Hao , Wang Pei 
Published: April 2024

Abstract
This study was aimed to investigate the effect of hydrogen-rich solution (HRS) on acute radiation pneumonitis (ARP) in rats. The ARP model was induced by X-ray irradiation. Histopathological changes were assessed using HE and Masson stains. Inflammatory cytokines were detected by ELISA. Immunohistochemistry and flow cytometry were performed to quantify macrophage (CD68) levels and the M2/M1 ratio. Western blot analysis, RT-qPCR, ELISA and flow cytometry were used to evaluate mitochondrial oxidative stress injury indicators. Immunofluorescence double staining was performed to colocalize CD68/LC3B and p-AMPK-α/CD68. The relative expression of proteins associated with autophagy activation and the adenosine 5′-monophosphate-activated protein kinase/mammalian target of rapamycin/Unc-51-like kinase 1 (AMPK/mTOR/ULK1) signaling pathway were detected by western blotting. ARP decreased body weight, increased the lung coefficient, collagen deposition and macrophage infiltration and promoted M1 polarization in rats. After HRS treatment, pathological damage was alleviated, and M1 polarization was inhibited. Furthermore, HRS treatment reversed the ARP-induced high levels of mitochondrial oxidative stress injury and autophagy inhibition. Importantly, the phosphorylation of AMPK-α was inhibited, the phosphorylation of mTOR and ULK1 was activated in ARP rats and this effect was reversed by HRS treatment. HRS inhibited M1 polarization and alleviated oxidative stress to activate autophagy in ARP rats by regulating the AMPK/mTOR/ULK1 signaling pathway.