bluuebunny/crossref_metadata_2025_split huggingface dataset:
Triiodothyronine acts on DAO to regulate pulmonary fibrosis progression by facilitating cell senescence through the p53/p21 signaling pathway
Authors: Guo Xiaoshu , Xu Kai , Wang Lan , Ding Linke , Li Wenwen , Zhang Xinsheng , Zhao Weiming , Wang Ningdan , Wang Gaiping , Zhao Wenyu , Rosas Ivan , Yu Guoying 
Published: September 2024

BackgroundIdiopathic pulmonary fibrosis (IPF) is the result of multiple cycles of epithelial cell injury and fibroblast activation; currently, there is no clear etiology. Increasing evidence suggests that protein metabolism and amino acids play a crucial role in IPF, but the role of D-amino acids is not yet clear. The aim of this study was to identify novel mediators in order to test the hypothesis that D-amino acid oxidase (DAO) plays a significant role in the pathogenesis of IPF.MethodsWe analyzed DAO gene expression in patients with IPF and mice with bleomycin (BLM)-induced lung fibrosis. We performed in vitro and in vivo assays to determine the effect of DAO on primary type II alveolar epithelial cells from mice and A549 cells.ResultsDAO expression was downregulated in the lungs of IPF patients and BLM-induced fibrotic mice. Treatment with D-serine (D-Ser) or drug inhibition of DAO promoted cell senescence through the p53/p21 pathway. Dao−/− mice showed an intensified fibrotic response, and the anti-fibrotic role of T3 was abolished.ConclusionWe concluded that the DAO-p53/p21 axis might be a key anti-fibrotic pathway regulating the progress of fibrosis and facilitating the therapeutic role of T3.
Oilseed flax cultivation: optimizing phosphorus use for enhanced growth and soil health
Authors: He Ning , Huang Fang , Luo Dingyu , Liu Zhiwei , Han Mingming , Zhao Zhigang , Sun Xian 
Published: September 2024

IntroductionOilseed flax (Linum usitatissimum L.) yields are phosphate (P) fertilizer-limited, especially in the temperate semiarid dryland regions of North China. However, there are limited studies on the effects of P-fertilizer inputs on plant growth and soil microorganisms in flax planting systems.MethodsTo address this gap, a field experiment was conducted with four treatments: no P addition and application of 40, 80, and 120 kg P ha-¹, respectively. The aim was to investigate the influence of various P fertilizer inputs on yield, plant dry matter, P use efficiency, as well as the population of soil arbuscular mycorrhizal fungi (AMF) and bacteria in dryland oilseed flax.ResultsOur results show that the P addition increased the dry matter, and the yield of oilseed increased by ~200% at 120 kg P ha-1 addition with inhibition on the growth of AMF hyphae. The moderate P supply (80 kg ha-1) was adequate for promoting P translocation, P use efficiency, and P recovery efficiency. Soil pH, available P, and available K significantly (p&lt; 0.05) promoted the abundance of the dominant taxa (Acidobacteria_GP6, Sphingobacteria and Bacteroidetes). In addition, it is imperative to comprehend the mechanism of interaction between phosphorus-fertilizer inputs and microbiota in oilseed flax soil. DiscussionThis necessitates further research to quantify and optimize the moderate phosphorus supply, regulate soil microbes to ensure high phosphorus utilization, and ultimately establish a sustainable system for oilseed flax cultivation in the local area.
Post-heading dry-matter transport and nutrient uptake differentiate hybrid and inbred indica rice in the double-cropping system in South China
Authors: Fu You-qiang , Lu Chu-sheng , Zhong Xu-hua , Liang Kai-ming , Pan Jun-feng , Liu Yan-zhuo , Hu Xiang-yu , Hu Rui , Li Mei-Juan , Wang Xin-yu , Ye Qun-huan , Yin Yuan-hong , Huang Ji-chuang , Huang Nong-rong 
Published: September 2024

IntroductionHybrid rice demonstrated superior performance in enhancing yield and efficiency in rice production compared to inbred rice. Nevertheless, the underlying mechanism responsible for the increased yield and efficiency of hybrid rice in South China’s double-cropping rice region remains understudied.MethodsField experiments over two consecutive years were conducted. Firstly, yield variations among 20 inbred and 15 hybrid rice cultivars prevalent in South China’s double-cropping rice system were examined. Secondly, selecting representative hybrid and inbred rice cultivars with significant yield disparities were carried out on further analyzing dry-matter production, source-sink relationships, and nutrient absorption and utilization in both rice types.ResultsHybrid rice displayed an average grain yield of 8.07 and 7.22 t hm-2 in the early and late seasons, respectively, which corresponds to a 12.29% and 13.75% increase over inbred rice with statistically significant differences. In comparison to inbred rice, hybrid rice exhibited enhanced nitrogen concentration in leaves at the heading stage (15.48–16.20%), post-heading dry matter accumulation (52.62–73.21%), post-heading dry matter conversion rate (29.23–34.12%), and harvest index (17.31–18.37%). Additionally, grain nitrogen and phosphorus uptake in hybrid rice increased by 11.88–22.50% and 16.38–19.90%. Hybrid rice mainly improved post-heading nitrogen and phosphorus uptake and transport, while not total nitrogen and phosphorus uptake. Internal nitrogen and phosphorus use efficiency enhanced by 9.83%-14.31% and 10.15%-13.66%, respectively. Post-heading dry matter accumulation, harvest index, grain nitrogen and phosphorus uptake, and internal nitrogen and phosphorus use efficiency exhibited significant positive linear correlations with grain yield.DiscussionThe period from heading to maturity is critical for enhancing hybrid rice yield and efficiency. Improving photosynthetic capacity during this period and promoting nutrient transport to grains serve as crucial pathways for increasing grain yield and efficiency. This study is of great significance for further improvement grain yield and breeding rice cultivars with high-yield and high nutrients use efficiency for South China's double-cropped rice system.
Workforce agility: a systematic literature review and research agenda
Authors: Alviani Devi , Hilmiana  , Widianto Sunu , Muizu Wa Ode Zusnita 
Published: September 2024

IntroductionThe definition and operationalization of workforce agility, initially associated with multitasking abilities, have evolved to encompass aspects of adaptability, proactivity, and resilience, which are now widely accepted. However, some authors have expanded this concept by adding elements such as intelligence, collaboration, and social support, leading to confusion and disagreement on how to consistently measure workforce agility. Furthermore, the literature emphasizes the importance of workforce agility in achieving business goals and adopting innovative management models, yet it provides limited structured guidance for future research.MethodsThis study uses Scopus and Web of Science as the primary databases. The search was not limited to a specific period but included articles up to 2024, with an initial sample of 176 articles. After a screening process based on inclusion and exclusion criteria, 74 articles were included in the thematic analysis and data synthesis.ResultsWorkforce agility has been positioned as an independent, mediating, moderating, and dependent variable in various studies. Most studies examine workforce agility at the individual level, with only about 10 studies exploring this aspect at the organizational level. However, no research has specifically explored workforce agility at the team level to date. The primary objective of workforce agility research is to expand and connect theories with diverse methodological approaches, including quantitative, qualitative, and mixed methods. As a result, theoretical foundations and inter-variable relationships are established to identify recommendations for future research.DiscussionMore than 25 fundamental theories have been identified and categorized into nine groups. These nine groups were then reformulated into four general theories: Organizational and Management Theory, Communication and Social Interaction Theory, Behavioral and Learning Theory, and Economic Theory. Based on previous research, several recommendations for future research have been outlined, including conducting longitudinal studies, integrating mixed methods, considering the global cultural context, expanding research samples, developing conceptual models, exploring mediating and moderating variables, developing workforce agility theories, creating efficient evaluation methods, and implementing multilevel models.
Parental involvement and student creativity: a three-level meta-analysis
Authors: Fan Huiyong , Feng Yuxiang , Zhang Yichi 
Published: September 2024

IntroductionThe Ecological Systems Model of Creativity Development (ESMCD) proposes that parental involvement positively impacts student creativity. However, prior empirical studies present mixed results, including positive, negative, and no correlations between these variables.MethodsTo synthesize these inconsistent primary studies, the current study conducted a systematic meta-analysis synthesizing 30 primary studies involving 37 independent samples with 70 effect sizes and a total N = 20,906 participants.ResultsThe results demonstrated: (1) an overall significant small, positive correlation (r = 0.101) between parental involvement and student creativity; (2) significant small, positive correlations between specific involvement types (autonomy support r = 0.144; behavioral control r = 0.133; content support r = 0.131) and creativity, alongside a significant small, negative correlation between psychological control and creativity (r = −0.117); (3) no statistically significant moderating effects of student grade level, parental gender, region, or publication type.DiscussionThis systematic meta-analytic review consolidates empirical evidence indicating that parental involvement positively predicts students’ creativity, while highlighting the detrimental impact of psychological control on creative outcomes. Further research elucidating the mechanisms underlying these relations is critical for informing parenting approaches and education policies seeking to foster creativity development among students.
Plasma alpha-trypsin inhibitor heavy chain 4 as an age-specific biomarker in the diagnosis and treatment of major depressive disorder
Authors: He Ping , Lu Xuefang , Zhong Mengmeng , Weng Hui , Wang Jialu , Zhang Xiaoxuan , Jiang Chen , Geng Feng , Shi Yachen , Zhang Gaojia 
Published: September 2024

BackgroundThe diagnosis of major depressive disorder (MDD) mainly depends on subjective clinical symptoms, without an acceptable objective biomarker for the clinical application of MDD. Inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4) showed a high specificity as biomarker for the diagnosis and treatment of MDD. The present study aimed to investigate differences in plasma ITIH4 in two different aged MDD patients and underlying pathological mechanisms of plasma ITIH4 in the occurrence and development of MDD.MethodsSixty-five adult MDD patients, 51 adolescent MDD patients, and 64 healthy controls (HCs) were included in the present study. A 14-days’ antidepressive treatment was conducted in all MDD patients. Psychological assessments were performed and plasma ITIH4 and astrocyte-related markers were detected for all participants.Results(1) Plasma levels of ITIH4 in adult MDD patients were significantly higher than adolescent MDD patients and HCs, and significantly increased plasma ITIH4 levels was observed in adolescent MDD patients compared with HCs (2). There were positive correlations between plasma ITIH4 levels and 24-item Hamilton Depression Scale (HAMD-24) scores and plasma glial fibrillary acidic protein (GFAP) levels in MDD patients, however, plasma ITIH4 levels were significantly correlated with age just in adult MDD patients (3). Plasma ITIH4 showed area under the curve values of 0.824 and 0.729 to differentiate adult MDD patients and adolescent MDD patients from HCs, respectively (4). There was significant decrease in plasma levels of ITIH4 between before and after antidepressive treatment in adult MDD patients, but not in adolescent MDD patients (5). Changed value of ITIH4 levels were correlated with the changed value of GFAP levels and changed rate of HAMD-24 scores in adult MDD patients following antidepressive treatment.ConclusionPlasma ITIH4 may be potential plasma biomarkers of MDD with age-related specificity, which was associated with depressive symptoms astrocyte-related pathologic changes, and antidepressive treatment efficacy.
Sociodemographic determinants of health inequities in low back pain: a narrative review
Authors: Mathieu Janny , Roy Kamille , Robert Marie-Ève , Akeblersane Meriem , Descarreaux Martin , Marchand Andrée-Anne 
Published: September 2024

BackgroundHealth equity is defined as the absence of unjust and avoidable disparities in access to healthcare, quality of care, or health outcomes. The World Health Organization (WHO) has developed a conceptual framework that outlines the main causes of health inequalities and how these contribute to health inequities within a population. Despite the WHO implementing health equity policies to ensure accessibility and quality of healthcare services, disparities persist in the management of patients suffering from low back pain (LBP). The objective of this study was to review the existing evidence on the impact of health inequities on the care trajectories and treatments provided to individuals with LBP.MethodsA narrative review was performed, which included a literature search without language and study design restrictions in MEDLINE Ovid database, from January 1, 2000, to May 15, 2023. Search terms included free-text words for the key concepts of “low back pain,” “health inequities,” “care pathways,” and “sociodemographic factors.”ResultsStudies have revealed a statistically significant association between the prevalence of consultations for LBP and increasing age. Additionally, a significant association between healthcare utilization and gender was found, revealing that women were more likely to seek medical attention for LBP compared to men. Furthermore, notable disparities related to race and ethnicity were identified, more specifically in opioid prescriptions, spinal surgery recommendations, and access to complementary and alternative medical approaches for LBP. A cross-sectional analysis found that non-Hispanic White individuals with chronic LBP were more likely to be prescribed one or more pharmacological treatments. Lower socioeconomic status and level of education, as well as living in lower-income areas were also found to be associated with greater risks of receiving non-guideline concordant care, including opioid and MRI prescriptions, before undergoing any conservative treatments.ConclusionPersistent inequalities related to sociodemographic determinants significantly influence access to care and care pathways of patients suffering from LBP, underscoring the need for additional measures to achieve equitable health outcomes. Efforts are needed to better understand the needs and expectations of patients suffering from LBP and how their individual characteristics may affect their utilization of healthcare services.
Dimensions of artificial intelligence on family communication
Authors: Alfeir Nada Mohammed 
Published: September 2024

IntroductionArtificial intelligence (AI) has created a plethora of prospects for communication. The study aims to examine the impacts of AI dimensions on family communication. By investigating the multifaceted effects of AI on family communication, this research aims to provide valuable insights, uncover potential concerns, and offer recommendations for both families and society at large in this digital era.MethodA convenience sampling technique was adopted to recruit 300 participants.ResultsA linear regression model was measured to examine the impact of AI dimensions which showed a statistically significant effect on accessibility (p = 0.001), personalization (p = 0.001), and language translation (p = 0.016).DiscussionThe findings showed that in terms of accessibility (p = 0.006), and language translation (p = 0.010), except personalization (p = 0.126), there were differences between males and females. However, using multiple AI tools was statistically associated with raising concerns about bias and privacy (p = 0.015), safety, and dependence (p = 0.049) of parents.ConclusionThe results showed a lack of knowledge and transparency about the data storage and privacy policy of AI-enabled communication systems. Overall, there was a positive impact of AI dimensions on family communication.
A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model
Authors: Li Zhihuan , Huang Junxiong , Chen Jingfang , Zeng Jin , Jiang Hong , Ding Lin , Zhang TianZi , Sun Wen , Lu Rong , Zhang Qiuli , Liang Lizhong 
Published: September 2024

BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classification model for diagnosis and grading of four common blinding ophthalmic diseases and normal retinal fundus.ResultsIn total, 102,786 fundus images of 75,682 individuals were used for training validation and external validation purposes. We test our model on internal validation data set, the micro Area Under the Receiver Operating Characteristic curve (AUROC) of which reached 0.995. Then, we fine-tuned the diagnosis model to classify each of the four disease into early and late stage, respectively, which achieved AUROCs of 0.597 (GL), 0.877 (AMD), 0.972 (RVO), and 0.961 (DR) respectively. To test the generalization of our model, we conducted two external validation experiments on Neimeng and Guangxi cohort, all of which maintained high accuracy.ConclusionOur algorithm demonstrates accurate artificial intelligence diagnosis pipeline for common blinding ophthalmic diseases based on Lesion-Focused fundus that overcomes the low-accuracy of the traditional classification method that based on raw retinal images, which has good generalization ability on diverse cases in different regions.
Risk and ambiguity in a public good game
Authors: Van Driessche Sarah , Boun My Kene , Brunette Marielle 
Published: September 2024

IntroductionAmbiguity is part of most of the daily life decisions. It can affect the way people deal with environmental threats, especially when they face a social dilemma.MethodWe run an experiment where every group of four subjects is exposed to a risk that may result in a loss for each member. Subjects must decide on the allocation of their resources between mitigation strategies that allow them to decrease the probability of a disaster occurring for the group, and adaptation strategies that allow them to reduce the magnitude of that disaster for themselves only. In a first treatment (called Risk), subjects perfectly know the probability of occurrence of the event. We introduce ambiguity with regard to that probability in a second treatment (called Ambiguity), and in a third treatment (called Information Acquisition), subjects have the possibility to pay to obtain information allowing them to eliminate ambiguity.Results and discussionThe results show that the introduction of ambiguity has no impact on average contributions compared to the Risk treatment. However, individual decisions to mitigate or to adapt are affected by subjects' attitude toward risk and ambiguity. In more than half of the cases, subjects are willing to pay to obtain information, which argues in favor of greater dissemination of information.
The effect of dietary omega-6 fatty acid enrichment in rodent models of military-relevant acute traumatic psychological stress and traumatic brain injury
Authors: Rusling Matthew R. , DeMar James C. , Chakraborty Nabarun , Hoke Allison V. , Miller Stacy Ann , Rosenberger John G. , Batuure Andrew B. , Wilder Donna M. , Sajja Venkatasivasai Sujith , Long Joseph B. , Hammamieh Rasha , Gautam Aarti 
Published: September 2024

IntroductionSequelae from traumatic brain injuries (TBIs) and post-traumatic stress disorder (PTSD) are major career-limiting factors for combat soldiers. Overlap between TBI and PTSD symptoms alongside other common comorbidities complicate the diagnosis and treatment. Systems-level and high-throughput approaches are key in understanding the underlying biomolecular mechanisms and differentiating these conditions.MethodsThe present study identifies dietary factors and proposes mechanisms behind psychological stress and TBI, using established preclinical animal models and a multi-omics approach. Here, we used microbiome characterizations of rats exposed to simulations of blast-induced TBI and underwater trauma (UWT)-induced psychological stress. We further studied the effect of dietary omega-6 versus omega-3 polyunsaturated fatty acid (n-6, n-3 PUFA) enrichment on the insult responses. The use of excess n-6 PUFA was chosen due to its high prevalence in the Western diet and pro-inflammatory nature. Prior to TBI or UWT, animals were maintained for 6 weeks and continued thereafter on either a standard diet or two customized chows imbalanced and diminished in omega-3 content. Corresponding shams were carried out for all groups. Fecal bacterial microbiome populations were assessed using 16S rRNA gene sequencing.ResultsPhysiologic outcome modeling identified that dietary status affected post-TBI lactate dehydrogenase (LDH) and triglyceride levels, with n-3 PUFA having a large attenuating influence. The UWT model showed similar trends, with diet significantly altering LDH, terminal corticosterone (14 days post-exposure), and a fear behavior susceptibility. Fecal microbiome alpha diversity was significantly reduced by high levels of n-3 PUFA. Likewise, beta diversity of the microbiome was significantly affected by both diet and time but not exposure to TBI or UWT. Compositionally, temporal effects on the microbiome were more likely to be observed with the diets. The most affected features fell within the Proteobacteria phyla, in which n-3 PUFA enrichment significantly reduced Alphaproteobacteria in the TBI model and increased Gammaproteobacteria in the UWT group.DiscussionAll these observations can influence the vulnerability or resilience of the warfighter to blast-induced TBI and acute psychological stress. The microbiome mechanisms facilitate and provide a knowledge-driven unbiased panel of signatures to discriminate between the two insults and is an essential tool for designing precise care management.