bluuebunny/crossref_metadata_2025_split huggingface dataset:
Configurations d’un espace d’alliance thérapeutique et de négociation du soin, entre un adolescent malade chronique, ses parents et des soignants
Authors: Janner-Raimondi Martine , Bedoin Diane , Baeza Carole 
Published: February 2020

Cet article vise à obtenir une vision qualitative fine de la maladie chronique adolescente et de ses problématiques spécifiques. Pour ce faire, nous avons élaboré une démarche de recherche expérientielle en première personne portant sur des événements jugés significatifs du parcours de soin. Les résultats de cette recherche permettent notamment d’identifier des espaces de configuration au plan du soutien à la parentalité, de l’alliance thérapeutique et de la négociation du soin entre adolescents, parents et professionnels. Cet article s’appuie sur six entretiens réalisés auprès de trois soignants autour des questions suivantes : Quel(s) espace(s) co-construire avec l’adolescent en crise ou en rupture ou avec les parents qui sont en souffrance ? Quelle posture adopter, en tant que soignants, afin d’éviter ou de retarder la chronicisation ?
The community composition variation of Russulaceae associated with the Quercus mongolica forest during the growing season at Wudalianchi City, China
Authors: Xing Pengjie , Xu Yang , Gao Tingting , Li Guanlin , Zhou Jijiang , Xie Mengle , Ji Ruiqing 
Published: February 2020

Background
Most species of the Russulaceae are ectomycorrhizal (ECM) fungi, which are widely distributed in different types of forest ecology and drive important ecological and economic functions. Little is known about the composition variation of the Russulaceae fungal community aboveground and in the root and soil during the growing season (June–October) from a Quercus mongolica forest. In this study, we investigated the changes in the composition of the Russulaceae during the growing season of this type of forest in Wudalianchi City, China.

Methods
To achieve this, the Sanger sequencing method was used to identify the Russulaceae aboveground, and the high-throughput sequencing method was used to analyze the species composition of the Russulaceae in the root and soil. Moreover, we used the Pearson correlation analysis, the redundancy analysis and the multivariate linear regression analysis to analyze which factors significantly affected the composition and distribution of the Russulaceae fungal community.

Results
A total of 56 species of Russulaceae were detected in the Q. mongolica forest, which included 48 species of Russula, seven species of Lactarius, and one species of Lactifluus. Russula was the dominant group. During the growing season, the sporocarps of Russula appeared earlier than those of Lactarius. The number of species aboveground exhibited a decrease after the increase and were significantly affected by the average monthly air temperature (r = −0.822, p = 0.045), average monthly relative humidity (r = −0.826, p = 0.043), monthly rainfall (r = 0.850, p = 0.032), soil moisture (r = 0.841, p = 0.036) and soil organic matter (r = 0.911, p = 0.012). In the roots and soils under the Q. mongolica forest, the number of species did not show an apparent trend. The number of species from the roots was the largest in September and the lowest in August, while those from the soils were the largest in October and the lowest in June. Both were significantly affected by the average monthly air temperature (r2 = 0.6083, p = 0.040) and monthly rainfall (r2 = 0.6354, p = 0.039). Moreover, the relative abundance of Russula and Lactarius in the roots and soils showed a linear correlation with the relative abundance of the other fungal genera.
Proximate composition determination in goat cheese whey by near infrared spectroscopy (NIRS)
Authors: Galdino Isadora Kaline Camelo Pires de Oliveira , Salles Hévila Oliveira , dos Santos Karina Maria Olbrich , Veras Germano , Alonso Buriti Flávia Carolina 
Published: February 2020

Background
In Brazil, over the last few years there has been an increase in the production and consumption of goat cheeses. In addition, there was also a demand to create options to use the whey extracted during the production of cheeses. Whey can be used as an ingredient in the development of many products. Therefore, knowing its composition is a matter of utmost importance, considering that the reference methods of food analysis require time, trained labor and expensive reagents for its execution.

Methods
Goat whey samples produced in winter and summer were submitted to proximate composition analysis (moisture, total solids, ashes, proteins, fat and carbohydrates by difference) using reference methods and near infrared spectroscopy (NIRS). The spectral data was preprocessed by baseline correction and the Savitzky–Golay derivative. The models were built using Partial Least Square Regression (PLSR) with raw and preprocessed data for each dependent variable (proximate composition parameter).

Results
The average whey composition values obtained using the referenced methods were in accordance with the consulted literature. The composition did not differ significantly (p > 0.05) between the summer and winter whey samples. The PLSR models were made available using the following figures of merit: coefficients of determination of the calibration and prediction models (R2cal and R2pred, respectively) and the Root Mean Squared Error Calibration and Prediction (RMSEC and RMSEP, respectively). The best models used raw data for fat and protein determinations and the values obtained by NIRS for both parameters were consistent with their referenced methods. Consequently, NIRS can be used to determine fat and protein in goat whey.
Potassium Nitrate in Heart Failure With Preserved Ejection Fraction
Authors: Zamani Payman , Shah Sanjiv J. , Cohen Jordana B. , Zhao Manyun , Yang Wei , Afable Jessica L. , Caturla Maria , Maynard Hannah , Pourmussa Bianca , Demastus Cassandra , Mohanty Ipsita , Miyake Michelle Menon , Adusumalli Srinath , Margulies Kenneth B. , Prenner Stuart B. , Poole David C. , Wilson Neil , Reddy Ravinder , Townsend Raymond R. , Ischiropoulos Harry , Cappola Thomas P. , Chirinos Julio A. 
Published: December 2024

ImportanceNitric oxide deficiency may contribute to exercise intolerance in patients with heart failure with preserved ejection fraction (HFpEF). Prior pilot studies have shown improvements in exercise tolerance with single-dose and short-term inorganic nitrate administration.ObjectiveTo assess the impact of chronic inorganic nitrate administration on exercise tolerance in a larger trial of participants with HFpEF.Design, Setting, and ParticipantsThis multicenter randomized double-blinded crossover trial was conducted at the University of Pennsylvania, the Philadelphia Veterans Affairs Medical Center, and Northwestern University between October 2016 and July 2022. Participants included patients with symptomatic (New York Heart Association class II/III) HFpEF who had objective signs of elevated left ventricular filling pressures. Image quantification, physiological data modeling and biochemical measurements, unblinding, and statistical analyses were completed in 2024.InterventionPotassium nitrate (KNO3) (6 mmol 3 times daily) vs equimolar doses of potassium chloride (KCl) for 6 weeks, each with a 1-week washout in between.MAIN OUTCOMES AND MEASURESThe coprimary end points included peak oxygen uptake and total work performed during a maximal effort incremental cardiopulmonary exercise test. Secondary end points included the exercise systemic vasodilatory reserve (ie, reduction in systemic vascular resistance with exercise) and quality of life assessed using the Kansas City Cardiomyopathy Questionnaire.ResultsEighty-four participants were enrolled. Median age was 68 years and 58 participants were women (69.0%). Most participants had NYHA class II disease (69%) with a mean 6-minute walk distance of 335.5 (SD, 97.3) m. Seventy-seven participants received the KNO3 intervention and 74 received the KCl intervention. KNO3 increased trough levels of serum nitric oxide metabolites after 6 weeks (KNO3, 418.4 [SD, 26.9] uM vs KCl, 40.1 [SD, 28.3] uM; P &amp;lt; .001). KNO3 did not improve peak oxygen uptake (KNO3, 10.23 [SD, 0.43] mL/min/kg vs KCl, 10.17 [SD, 0.43] mL/min/kg; P = .73) or total work performed (KNO3, 25.9 [SD, 3.65] kilojoules vs KCl, 23.63 [SD, 3.63] kilojoules; P = .29). KNO3 nitrate did not improve the vasodilatory reserve or quality of life, though it was well-tolerated.Conclusions and RelevanceIn this study, potassium nitrate did not improve aerobic capacity, total work, or quality of life in participants with HFpEF.Trial RegistrationClinicalTrials.gov Identifier: NCT02840799
GOLD COPD Exacerbation History Categories and Disease Outcomes
Authors: Waeijen-Smit Kiki , Peerlings Daphne E. M. , Jörres Rudolf A. , Watz Henrik , Bals Robert , Rabe Klaus F. , Vogelmeier Claus F. , Speicher Tim , Spruit Martijn A. , Simons Sami O. , Houben-Wilke Sarah , Franssen Frits M. E. , Alter Peter 
Published: December 2024

ImportancePrevious exacerbations of chronic obstructive pulmonary disease (ECOPD) are associated with future events. For more than a decade, patients at high risk have been defined as individuals with a history of 2 or more moderate ECOPD, 1 or more severe ECOPD, or both within 12 months, and treatments have been allocated accordingly, but these cutoffs lack validation.ObjectivesTo validate ECOPD history categories by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) and explore alternative cutoffs to estimate moderate and severe ECOPD and all-cause mortality in COPD.Design, Setting, and ParticipantsThis cohort study analyzed data from patients with COPD in the German COPD and Systemic Consequences-Comorbidities Network (COSYCONET) study. Patients were recruited from September 2010 to December 2013. Analyses were conducted in September 2023 to August 2024.Main Outcomes and MeasuresRisk of moderate and severe (ie, with hospitalization) ECOPD and all-cause mortality over a 4.5-year follow-up period were assessed using binomial logistic regressions and area under the receiver operating characteristic curves (AUROCs) with 95% CIs.ResultsAmong 2291 patients with COPD GOLD categories 1 to 4 (mean [SD] age, 65 [8] years; 1396 male [60.9%]), the mean (SD) estimated forced expiratory volume in the first second of expiration was 52.5% (18.6%). ECOPD history categories by GOLD had an AUROC of 0.63 (95% CI, 0.60-0.65) and 0.62 (95% CI, 0.58-0.66) to estimate moderate and severe ECOPD, respectively. A single previous moderate ECOPD within 12 months more accurately estimated future moderate and severe ECOPD (AUROC, 0.66; 95% CI, 0.64-0.69), and in line with GOLD, 1 previous severe ECOPD within 12 months estimated moderate and severe ECOPD (AUROC, 0.63; 95% CI, 0.60-0.67). The 4-year mortality rate was 219 patients (9.6%). Patients with 3 or more previous moderate ECOPD (odds ratio, 2.18; 95% CI, 1.27-3.72) or 1 or more previous severe ECOPD (odds ratio, 1.57; 95% CI, 1.29-1.91) within 12 months were more likely to die compared with patients without prior ECOPD.Conclusions and RelevanceThis study’s findings suggest a limited estimative performance of ECOPD history categories by GOLD. Novel cutoffs were suggested, categorizing patients as without exacerbations or with high-risk exacerbations based on a history of 1 or more moderate ECOPD, 1 or more severe ECOPD, or both within 12 months.
White matter free water mediates the associations between placental growth factor, white matter hyperintensities, and cognitive status
Authors: Kern Kyle C. , Vohra Manu , Thirion Marissa L. , Wang Danny J. J. , Wilcock Donna M. , Thompson Jeffrey F. , Rosenberg Gary A. , Sagare Abhay , Moghekar Abhay , Lu Hanzhang , Lee Tiffany , Elahi Fanny M. , Satizabal Claudia L. , Tracy Russell , Seshadri Sudha , Schwab Kristin , Helmer Karl , Singh Herpreet , Kivisäkk Pia , Greenberg Steven M. , Vossel Keith , Kramer Joel H. , Maillard Pauline , DeCarli Charles S. , Hinman Jason D. 
Published: December 2024

AbstractINTRODUCTIONPlacental growth factor (PlGF) may regulate cerebrovascular permeability. We hypothesized that white matter interstitial fluid accumulation, estimated via magnetic resonance imaging (MRI) free water (FW), would explain the associations between elevated PlGF, white matter hyperintensities (WMH), and cognitive impairment.METHODSMarkVCID consortium participants ≥55 years old with plasma PlGF and brain MRI were included. We tested cross‐sectionally whether FW mediated the associations between PlGF and WMH, or PlGF and cognition, measured using the Clinical Dementia Rating (CDR) scale and an executive function (EF) composite (Uniform Data Set version 3 [UDS3]‐EF).RESULTSFor 370 participants (mean age 72), a higher PlGF was associated with higher FW, higher WMH, and higher CDR, but not UDS3‐EF. Higher FW was associated with higher WMH, higher CDR, and lower UDS3‐EF. FW explained 26% of the association between PlGF and CDR and 73% of the association between PlGF and WMH.DISCUSSIONElevated PlGF may contribute to WMH and cognitive impairment through white matter FW accumulation.CLINICAL TRIAL REGISTRATIONNCT06284213Highlights
PlGF is a promising blood‐based biomarker for vascular cognitive impairment.
In MarkVCID, higher PlGF was associated with accumulated white matter FW on MRI.
FW mediated the association between higher PlGF and MRI‐visible white matter injury.
FW mediated the association between PlGF and worse CDR scale.
PlGF may contribute to cognitive dysfunction via accumulated interstitial fluid.
Dynamic Pricing Strategy for Imitative and Habit‐Forming Customers
Authors: Chen Wen 
Published: December 2024

ABSTRACTThis study employs finite‐horizon dynamic programming to examine markets with imitative and habit‐forming (IH) customers. Our findings indicate that optimal pricing and base demand increase as the number of customers who exhibit imitative and habit‐forming behaviors grows. Additionally, we analyze the impact of various stochastic parameters on optimal pricing, revealing that retailers should reduce prices when the variability among IH customers increases and raise prices when the average number of such customers rises. Notably, we challenge the conventional belief that greater uncertainty reduces profits, demonstrating that higher additive variability among IH customers can unexpectedly enhance profitability. These findings offer valuable insights for retailers into optimal pricing strategies for markets with imitative and habit‐forming customers, potentially aiding businesses in achieving growth and profitability.
Interventional Treatment of Acute Right Ventricular Outflow Tract Infectious Endocarditis: A Bridge to Surgical or Percutaneous Pulmonary Valve Replacement
Authors: Callegari Alessia , Albertini Mathieu , Reverdito Guillaume , Bonnet Damien , Malekzadeh‐Milani Sophie 
Published: December 2024

ABSTRACTBackgroundInfective endocarditis (IE) poses significant risks following percutaneous pulmonary valve implantation (PPVI) or surgical replacement (PVR).AimsThis study evaluates the effectiveness of emergency percutaneous treatment in stabilizing patients with severe right ventricular dysfunction or obstructive cardiac shock, allowing for delayed surgical or percutaneous valve replacement.MethodsThis retrospective study examines 16 patients (age 19.9 [15.1–43.3] years) with right‐sided IE treated with primary percutaneous intervention. Data collected included cardiac diagnosis, valve types, pathogens identified, procedural details, and outcomes.ResultsUnderlying diagnoses included aortic valve stenosis post‐Ross surgery (43%), repaired tetralogy of Fallot (25%), common arterial trunk (18%), and repaired double outlet right ventricle (14%). Valve types varied, with Contegra Ven‐Pro (56%) and Melody‐valve (25%) being the most common. Diagnosis of IE occurred 66.5 (28.3–87.4) months postlast intervention/surgery, with emergency percutaneous treatment performed 2 (1–17) days postdiagnosis. Clinical presentations included obstructive cardiac shock (50%) and septic shock (25%). Preintervention RVOT velocity was 4.4 (4.2–5) m/s, with severely reduced RV function in 68%. Interventions included balloon dilatation, uncovered or covered stent implantation, and Melody valve implantation. Immediate resolution of RVOT obstruction was achieved in all patients, with significant reductions in RV systolic pressures (mean reduction 42.0 (30.2–50.0) mmHg) and improved RV function. No periprocedural deaths occurred, but one complication was noted. Follow‐up included surgical repair (68%) and PPVI (18%). Mortality included one IE relapse and one surgical death.ConclusionsEmergency percutaneous interventions can stabilize patients with RVOT obstruction due to IE, enabling delayed surgical or percutaneous interventions.
AI‐Driven Multi‐Modal Information Fusion System for Real Applications in Physical Training
Authors: Wang Yongzhi , Li Ruifang 
Published: December 2024

ABSTRACTThis paper introduces an AI‐driven multi‐modal information fusion system tailored for real‐world physical training applications, integrating state‐of‐the‐art computer vision, deep learning, and multi‐sensor technologies. The system combines high‐precision cameras and inertial measurement unit (IMU) sensors to capture real‐time motion trajectories and posture data. These data are processed through convolutional neural networks (CNNs) and long short‐term memory (LSTM) models for accurate movement analysis. Additionally, augmented reality (AR) provides real‐time visual feedback, while deep reinforcement learning algorithms deliver personalized training recommendations. In an 8‐week study involving 100 high school students, the system improved movement accuracy by 23% and received a 4.6/5 user satisfaction rating. Although challenges remain in optimizing computational efficiency and user interface design, the system's modular and scalable nature makes it an adaptable solution for enhancing physical training across educational, home, and professional settings.
LMOD1 Exerts a Tumor‐Suppressive Role in Breast Cancer by Restraining the JAK2/STAT3 Pathway
Authors: Fang Xiansong , Wen Xiaoyun , Hou Ya , Zhou Liang , Jiang Yingjie , Chen Yu 
Published: December 2024

ABSTRACTBreast cancer has seriously affected women's physical and mental health. This investigation aims at screening differentially expressed genes (DEGs) in breast cancer and illuminating the potential biological functions of Leiomodin 1 (LMOD1) and its behind mechanisms against breast cancer. The common DEGs (co‐DEGs) between the GSE22820 and GSE29431 data sets and pivotal genes were screened out using bioinformatics methods. The biological roles of LMOD1 overexpression on malignant phenotypes were validated by functional assays and the impact on fatty acid synthesis was also elucidated in breast cancer cell lines. Additionally, colivelin, a STAT3 activator, was applied for further investigating the role of LMOD1 on the JAK2/STAT3 pathway in vitro. A total of 208 co‐DEGs and 5 focal genes were screened through bioinformatics analysis, and 5 focal genes were downregulated in breast cancer cell lines. LMOD1 overexpression retarded proliferative, migratory, invasive capabilities of breast cancer cells. LMOD1 overexpression suppressed fatty acid synthesis. Furthermore, the inhibitory effects on malignant phenotypes of breast cancer cells with LMOD1 overexpression were partially abolished after colivelin treatment. Additionally, LMOD1 could impede fatty acid synthesis in breast cancer cells. Our study highlighted LMOD1 exerted as a tumor‐suppressive role in breast cancer, which was correlated with restraining the JAK2/STAT3 pathway activation.
Dexmedetomidine Regulates Macrophage Phenotype Remodeling Through AMPK/SIRT1 to Alleviate Inflammatory Mediators and Lung Injury
Authors: Zhao Yi‐si , Shi Ya‐kang , Li Ke‐feng , Ma Bei , Lin Shi‐hui , Xing Yu , Xu Fang 
Published: December 2024

ABSTRACTAcute lung injury (ALI)/acute respiratory distress syndrome (ARDS) is associated with high morbidity and mortality in the intensive care unit (ICU) and can cause excessive inflammation. Dexmedetomidine (DEX) is a drug that exerts anti‐inflammatory effects. Identifying the anti‐inflammatory mechanism of DEX in the context of ALI/ARDS possesses potential significance for the prevention and treatment of ARDS. In this study, DEX was used to treat mouse models of cecal ligation and puncture (CLP) and lipopolysaccharide (LPS)‐stimulated cells. Immunofluorescence, western blot analysis, and flow cytometry were used to detect macrophage phenotypic markers in mice, and western blot analysis, real‐time qPCR (RT‐qPCR), ELISA, and immunofluorescence were used to detect macrophage phenotype markers in RAW264.7 cells. Flow cytometry was used to detect phenotypic markers of bone marrow‐derived macrophages (BMDM). Culture medium collected from macrophages was used to cultivate human non‐small cell adenocarcinoma epithelial cells (A549) to detect their aquaporins 1 (AQP1) expression and apoptosis status. Western blot analysis was used to detect the activation of the AMP‐activated protein kinase (AMPK)/sirtuin 1(SIRT1) signaling pathway both in vivo and in vitro. The regulatory effect of DEX on macrophage phenotype remodeling was detected by knocking down AMPK expression in cells using AMPK shRNA. The results showed that in both in vivo and in vitro experiments, DEX downregulated the expression of M1 markers (tumor necrosis factor‐α [TNF‐α], nitric oxide synthase [iNOS], and cluster of differentiation [CD]‐86) and upregulated the expression of M2 markers (arginase‐1 [ARG‐1], interleukin [IL]‐10, and CD206) in macrophages. The culture medium of macrophages treated with DEX alleviated the edema and apoptosis of A549 cells. DEX activates the AMPK/SIRT1 signaling pathway in macrophages. After AMPK knockdown, the ability of DEX to regulate macrophage phenotype remodeling decreased. Together, this study suggests that DEX regulates macrophage phenotype remodeling by activating the AMPK/SIRT1 pathway, thereby reducing ALI/ARDS.
Evaluation of the effects of avatar on learning temporomandibular joint in a metaverse‐based training
Authors: Basmaci Fulya , Bulut Ali Can , Ozcelik Erol , Zerdali Ekici Saliha , Kilicarslan Mehmet Ali , Cagiltay Nergiz Ercil 
Published: December 2024

AbstractPurposeAvatars, representing users in the digital world, can influence users' behavior and attitudes. This study evaluates the impact of representing dental students receiving temporomandibular joint (TMJ) education in the metaverse via an anonymous or identified avatar.MethodsParticipants included 80 dental students in their fourth and fifth years of study. They were randomly assigned to either the avatar group (identified avatar) or the control group (anonymous avatar). Prior to training, participants completed a demographic questionnaire and a pretraining knowledge assessment. TMJ training was conducted in the metaverse for both groups. Pre‐ and post‐training assessments included the Spielberger State–Trait Anxiety Inventory and a shyness scale to ensure group comparability. A post‐test consisting of five questions was administered to both groups after 2 weeks of training.ResultsThere were no significant differences in pretraining scores for prior knowledge (p = 0.67), trait anxiety (p = 0.28), state anxiety (p = 0.92), or shyness (p = 0.42) between the avatar and control groups, indicating comparability at baseline. Post‐training analysis revealed significantly higher post‐test scores in the avatar group (median = 80) compared to the control group (median = 60) (p = 0.03).ConclusionsMetaverse environments offer various benefits for students, educators, and educational institutions in health education programs. Representing learners and their identities in training environments can enhance learning outcomes.