bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pathological narcissism and relationship obsessive‐compulsive disorder (ROCD) symptoms: Exploring the role of vulnerable narcissism
Authors: Melli Gabriele , Caccico Laura , Micheli Elena , Bulli Francesco , Doron Guy 
Published: October 2023

AbstractObjectiveRelationship obsessive‐compulsive disorder (ROCD) symptoms, which include obsessive preoccupation, doubts, and compulsive behaviors focusing on the suitability of the relationship and/or partner, have been receiving increasing clinical, theoretical, and empirical attention. This clinical variant of OCD is associated with significant functional, personal, and dyadic consequences. ROCD symptoms have also been linked to several cognitive vulnerability factors, such as maladaptive relationship catastrophization. However, little is known about the connection between ROCD symptoms and specific personality traits. In this study, we examine whether vulnerable narcissistic personality traits may constitute a general vulnerability factor for ROCD symptoms. Specifically, we assess whether partner value self‐contingencies moderate the association between vulnerable narcissistic traits and obsessive preoccupation with a romantic partner's perceived flaws.MethodA total of 310 individuals self‐reporting ROCD symptoms completed questionnaires assessing narcissistic personality traits, ROCD symptoms and cognitions, and partner value self‐contingencies.ResultsVulnerable narcissistic traits were uniquely associated with ROCD symptoms over and above ROCD‐related cognitions. Self‐worth contingent on the partner's perceived value partially mediated the effect of vulnerable narcissistic traits on ROCD symptoms.ConclusionResults supported the role of vulnerable narcissistic traits and domain‐relevant self‐vulnerabilities on obsessive preoccupation with romantic partners' perceived flaws. Further research is needed to explore the susceptibility of vulnerable individuals to the development and maintenance of ROCD symptoms.
Using Xenopus to discover new candidate genes involved in BOR and other congenital hearing loss syndromes
Authors: Neal Scott J. , Rajasekaran Anindita , Jusić Nisveta , Taylor Louis , Read Mai , Alfandari Dominique , Pignoni Francesca , Moody Sally A. 
Published: October 2023

AbstractHearing in infants is essential for brain development, acquisition of verbal language skills, and development of social interactions. Therefore, it is important to diagnose hearing loss soon after birth so that interventions can be provided as early as possible. Most newborns in the United States are screened for hearing deficits and commercially available next‐generation sequencing hearing loss panels often can identify the causative gene, which may also identify congenital defects in other organs. One of the most prevalent autosomal dominant congenital hearing loss syndromes is branchio‐oto‐renal syndrome (BOR), which also presents with defects in craniofacial structures and the kidney. Currently, mutations in three genes, SIX1, SIX5, and EYA1, are known to be causative in about half of the BOR patients that have been tested. To uncover new candidate genes that could be added to congenital hearing loss genetic screens, we have combined the power of Drosophila mutants and protein biochemical assays with the embryological advantages of Xenopus, a key aquatic animal model with a high level of genomic similarity to human, to identify potential Six1 transcriptional targets and interacting proteins that play a role during otic development. We review our transcriptomic, yeast 2‐hybrid, and proteomic approaches that have revealed a large number of new candidates. We also discuss how we have begun to identify how Six1 and co‐factors interact to direct developmental events necessary for normal otic development.
MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST‐Segment Elevation Myocardial Infarction
Authors: Dong Jian‐Xun , Wei Lai , Jin Li‐Xing , He Jie , Zhao Chen‐Xu , Ding Song , Kong Ling‐Cong , Yang Fan , An Dong‐Ao‐Lei , Wu Chong‐Wen , Chen Bing‐Hua , Wang Hu‐Wen , Yang Yi‐Ning , Ge Heng , Pu Jun 
Published: October 2023

BackgroundThe impact of left ventricular mechanical dyssynchrony (LVMD) on the long‐term prognosis of ST‐segment elevation myocardial infarction (STEMI) is unclear.HypothesisMR uniformity ratio estimates (URE) can detect LVMD and assess STEMI prognosis.Study TypeRetrospective analysis of a prospective multicenter registry (EARLY‐MYO trial, NCT 03768453).PopulationOverall, 450 patients (50 females) with first‐time STEMI were analyzed, as well as 40 participants without cardiovascular disease as controls.Field Strength/Sequence3.0‐T, balanced steady‐state free precession cine and late gadolinium enhancement imaging.AssessmentMRI data were acquired within 1 week of symptom onset. Major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal re‐infarction, hospitalization for heart failure, and stroke, were the primary clinical outcomes. LVMD was represented by circumferential URE (CURE) and radial URE (RURE) calculated using strain measurements. The patients were grouped according to clinical outcomes or URE values. Patients' clinical characteristics and MR indicators were compared.Statistical TestsThe Student's t‐test, Mann–Whitney U test, chi‐square test, Fisher's exact test, receiver operating characteristic curve analysis with area under the curve, Kaplan–Meier analysis, Cox regression, logistic regression, intraclass correlation coefficient, c‐index, and integrated discrimination improvement were used. P < 0.05 was considered statistically significant.ResultsCURE and RURE were significantly lower in patients with STEMI than in controls. The median follow‐up was 60.5 months. Patients with both lower CURE and RURE values experienced a significantly higher incidence of MACEs by 3.525‐fold. Both CURE and RURE were independent risk factors for MACEs. The addition of UREs improved diagnostic efficacy and risk stratification based on infarct size and left ventricular ejection fraction (LVEF). The indicators associated with LVMD included male sex, serum biomarkers (peak creatine phosphokinase and cardiac troponin I), infarct size, and LVEF.Data ConclusionCURE and RURE may be useful to evaluate long‐term prognosis after STEMI.Evidence Level4Technical EfficacyStage 2
The CD19+ B cell as a marker for the febrile children infected with influenza A and Omicron variant
Authors: Shi Ting , Xu Lei , Li Xiaohong , Huang Linlin 
Published: October 2023

AbstractH3N2 and Omicron are common pathogens of respiratory infections in children. This study aimed to explore dynamic changes of lymphocyte subsets and the diagnostic value of CD19+ B cell in children infected with influenza A and Omicron. One hundred and sixty‐five in‐patients with H3N2, 175 in‐patients with Omicron variant, and 50 age‐matched healthy children from Children's Hospital of Soochow University were included in this study. The participants underwent 13 respiratory pathogens by DNA polymerase chain reaction (PCR), sputum culture, severe acute respiratory syndrome coronavirus 2 (SARS‐COV‐2) DNA PCR, routine blood, and lymphocyte subset assays within 24 h of admission. The neutrophils, neutrophil‐to‐lymphocyte ratio, and monocyte‐to‐lymphocyte ratio in the H3N2 and Omicron groups were significantly higher than in the control groups (p < 0.05). However, the lymphocytes and eosinophils in the H3N2 and Omicron groups were lower than the control groups (p < 0.05). The CD3+ T cell, CD3+CD4+ T cell, CD3+CD8+ T cell, CD3−CD19+ B cell, and natural killer cell were lower in the H3N2 and Omicron groups than in the control group (p < 0.05). The CD3−CD19+ cell in the Omicron group was higher than that in the H3N2 group but lower than that in the control group (p < 0.05). In addition, CD3−CD19+ cell had good diagnostic value for H3N2 (area under the receiver operating characteristic curve = 0.902, p < 0.05). The children with H3N2 were more likely to have lower lymphocytes than children with Omicron. Additionally, B‐cell count had good diagnostic value for H3N2.
A household survey of intrafamily norovirus transmission
Authors: Juniastuti  , Utsumi Takako , Yamani Laura Navika , Dinana Zayyin , Gunawan Emily , Maharani Aussie Tahta , Fitria Anisa Lailatul , Wahyuni Rury M. , Soetjipto  , Doan Yen Hai , Shimizu Hiroyuki , Ishii Koji , Matsui Chieko , Deng Lin , Abe Takayuki , Katayama Kazuhiko , Lusida Maria Inge , Shoji Ikuo 
Published: October 2023

AbstractNorovirus (NoV) is a leading cause of epidemic and sporadic gastroenteritis in people of all ages. Humans are the primary source of NoV and household contact is one of the risk factors for NoV transmission. However, the mechanisms underlying person‐to‐person NoV transmission are poorly understood. Here we conducted a survey to profile the frequency and characteristics of intrafamily NoV transmission. Stool samples were collected every week from three households between 2016 and 2020; the total number of samples was 1105. The detection of NoV and the genotyping were performed by reverse transcription‐polymerase chain reaction targeting the capsid region and direct sequencing methods. NoV was detected in 3.4% of all samples. Eight NoV genotypes were identified. The most common genotype was GII.17, followed in order by GII.6, GI.6, GII.4, GI.3, and GI.2/GI.8/GI.9. Most NoV‐positive samples were obtained from asymptomatic individuals. The highest number of NoV transmissions was found in household 3 (6 infections), followed by household 2 (2 infections), while household 1 had no NoV transmission, suggesting that asymptomatic NoV carriers play a major role in infection as NoV reservoirs in the households. Further clarification of the mode of infection will contribute to improved understanding and an appropriate prevention.
Effectual study, statistical optimization, and neural network‐based predictive model of pearl millet and amaranth flours formulations for gluten‐free pasta
Authors: Rathore Soumya , Pandey Anand Kumar 
Published: October 2023

AbstractBackgroundPasta is prepared from high‐gluten wheat flour but poses great harm to gluten‐intolerant population or celiac disease patients. Pearl millet flour is the cheapest among gluten‐free flours and has a high nutritive index. Amaranth is a promising source of protein and fiber and is gluten‐free in nature. Several studies have been done for the development of gluten‐free pasta using different flour blends but an optimized formulation with high nutritive value and consumer satisfaction has not yet been identified.ResultsIn this study, different blends of pearl millet and amaranth flour were used in ratios of 90:10, 80:20, 70:30, 60:40, and 50:50 for pasta preparation and their analysis based on farinographic parameters, cooking quality, and sensory scores was done. Statistical analysis by analysis of variance followed by Duncan's Multiple Range Test was performed to evaluate the optimized formulation. 60:40 blend ratio for pearl millet and amaranth flour displayed comparable farinographic properties and cooking yield to wheat‐based pasta with optimized cooking loss and an overall sensory score of 8.65. Scanning electron microscopy analysis of flours and the cooked and uncooked pasta samples was also performed. Further, a multilayer perceptron neural network was developed to predict the overall quality and grade of pasta. The developed neural network gave high classification accuracy of 90.9% and 100% for training and testing sets, respectively, and can be utilized for pasta quality prediction.ConclusionThis study provides optimized pearl millet and amaranth flour blend formulation to prepare gluten‐free delicious pasta for celiac disease patients.
Falling water tables reduce peatland semiconductor minerals' capacity for preserving carbon
Authors: Zeng Jia , Cao Qin , Bai Yinping , Chen Huai , Liu Mingxue , He Yi , He Huichao , Hu Wenyuan , Yang Gang 
Published: October 2023

AbstractSemiconductor minerals in peatland play a significant role in the stability of the soil carbon pool. Nevertheless, the ecosystem‐scale importance of semiconductor minerals distribution and their influence on carbon stability in peatlands is still to be determined. Therefore, this study investigated the spatial distribution of semiconductor minerals and their photoelectrochemical activity (PA) in three peatlands with distinct water tables (Equisetum‐swamp [−2.0 cm], Caltha‐meadow [−8.0 cm], and Carex‐meadow [−13.8 cm]). The results indicate that the peatlands of the Qinghai‐Tibet Plateau mainly contain hematite (4.64 wt%), brookite (0.71 wt%), baddeleyite (0.23 wt‰), and zincite (0.10 wt‰); hematite content is the main mineral in peatland. And significantly increased with the decrease of the water table; the photoelectrochemical examination showed that the band gap of semiconductor minerals displayed Caltha‐meadow > Equisetum‐swamp > Carex‐meadow, and the carrier concentration displayed Carex‐meadow > Equisetum‐swamp > Caltha‐meadow, and Carex‐meadow exhibits a steady photocurrent density (0.3 μA/cm2) under light. This suggests that peat soils exhibit an improved photoelectric response with water table drawdown, which would promote the potential for soil carbon mineralization; structural equation model analysis showed that hematite had a significant positive effect on soil organic carbon (SOC), while the PA of semiconductor minerals had a significant negative effect on SOC. That is, semiconductor minerals can not only protect SOC by adsorption but also accelerate organic carbon mineralization by photo‐catalytic generation of reactive oxygen species. Therefore, the decrease in the water table increases the PA of semiconductor minerals, which will weaken the protective effect of semiconductor minerals on soil carbon through adsorption and other means.
Analysis of factors influencing terrace abandonment based on unmanned aerial photography and farmer surveys: A case study in Jianhe, Guizhou
Authors: Long Mingshun , Zhao Yuluan , Zhou Chunfang , Li Xiubin , Su Lanlan , Zou Yan 
Published: October 2023

AbstractStudying the abandonment status of mountain terraces and its determinants, as well as exploring opportunities for the sustainable use of mountain terraces, are of great significance for the protection of regional cultivated land resources. The present study analysed eight typical villages in Jianhe County, Guizhou Province, China, as examples. A combination of high‐resolution remote sensing images and farm household survey data were used to explore the abandonment of terraces in mountainous areas. A multi‐level logistic model was constructed to analyse the determinants of terrace abandonment based on three levels: plot, household and village. The results show that serious terrace abandonment occurred in the study area, with 33.78% of all terraces having been abandoned. The plot and household levels were important in influencing terrace abandonment by farmers. At the plot level, terrace abandonment is more likely to occur on small plots found at a long distance from residences with poor irrigation conditions and collapsed ridges. At the household level, households where the head had a relatively high level of education and households with relatively small agricultural labour forces and lower degrees of mechanisation had a higher probability of their terraces being abandoned. At the village level, a relatively high risk of terrace abandonment was found in villages relatively close to an administrative centre, with a low land transfer rate and a low rate of forest coverage. In conclusion, carrying out land consolidation projects and improving agricultural infrastructure in mountainous areas are important means to achieving the sustainable use of terraces.
Hydrology drives export and composition of carbon in a pristine tropical river
Authors: Drake Travis W. , Barthel Matti , Mbongo Christian Ekemba , Mpambi Davin Mata , Baumgartner Simon , Botefa Clement Ikene , Bauters Marijn , Kurek Martin R. , Spencer Robert G. M. , McKenna Amy M. , Haghipour Negar , Ekamba Godé Lompoko , Wabakanghanzi Jose N. , Eglinton Timothy I. , Van Oost Kristof , Six Johan 
Published: October 2023

ABSTRACTThe Ruki is a pristine blackwater tributary in the Congo Basin draining tropical lowland forest. Daily discharge and fortnightly concentrations, isotopic ratios, and molecular composition of carbon and organic matter were measured for 1 yr (2019–2020). Like the Congo River, discharge peaked from November–January, with a smaller secondary peak in June. Dissolved organic carbon (DOC), inorganic carbon (DIC), carbon dioxide (pCO2), and methane (pCH4) concentrations were high (21.3 ± 4.8 mg C L−1, 5.8 ± 0.9 mg C L−1, 6370 ± 1740 ppm, and 250 ± 100 ppm, respectively) and positively correlated with discharge, indicating transport limitation. Total suspended solids and particulate organic carbon (POC) concentrations were generally low (3.68 ± 1.61 mg L−1, 0.88 ± 0.33 mg C L−1, respectively) and varied inversely with discharge, indicating source limitation. The Ruki exported a total of 3.25 Tg C yr−1, of which DOC, DIC, and POC comprised 76%, 20%, and 3%, respectively. This DOC flux represents ~ 20% of the annual Congo Basin flux from about 5% of its area, highlighting the high yield. Isotopic ratios of DOC and POC indicate modern C3 forest vegetation as a source, except for a few older samples potentially indicating peat inputs. The bulk molecular composition of dissolved organic matter was seasonally consistent; however, a more oxidized and aromatic assemblage occurred at high discharge, corresponding with forest vegetation, while a more aliphatic, nitrogen‐, and sulfur‐enriched assemblage was found during low discharge, corresponding with soil‐derived organic matter. Overall, these results underscore how hydrology controls C concentrations in the Ruki River and how this blackwater river contributes disproportionately to C export per unit area within the Congo Basin hydrosystem.
Generic Vectorial Hologram Based on Simultaneous and Independent Amplitude and Phase Modulation of Orthogonal Polarization States via Single Completely Spin‐Decoupled Meta‐Particles
Authors: Chu Zuntian , Liu Tonghao , Li Tiefu , Ma Jiachen , Zhu Ruichao , Sun Huiting , Jia Yuxiang , Han Yajuan , Wang Jiafu 
Published: October 2023

AbstractMetasurfaces composed of subwavelength structure arrays provide a diverse and powerful platform for generation of complicated electromagnetic (EM) fields and wavefronts manipulation and have triggered an unprecedented research upsurge in electromagnetism with the development of computer‐generated holography (CGH). Different from conventional scalar holograms only containing amplitude and phase properties, a vectorial hologram that benefits from the maneuverability of polarization of EM fields exhibits more immeasurable application potential and is simultaneously regarded as an urgent requirement. In this work, assisted by single completely spin‐decoupled meta‐particles, which perfectly combine the functions of simultaneous and independent amplitude and phase modulation of orthogonal polarization states containing left‐ and right‐handed circularly polarized (LCP&RCP) components, a vectorial hologram induced through eigenstates degeneracy with the ability of encoding arbitrary polarization is proposed in the microwave region. As the proof of concept, eight distinct holograms with specified polarizations and six‐channel polarization‐multiplexed hologram display are fabricated and characterized, further showcaing the versatility of the approach for the customization of arbitraty polarization and integration of reconstructed patterns. With the advantages of multi‐controllability and ultra‐compactness, the constructed monolayer completely spin‐decoupled paradigm for vectorial regulation may find prospective application aspects in spin detection, target perception, multi‐channel data encryption, and many other related fields.
Metallic‐Polyphenolic Nanoparticles Reinforced Cationic Guar Gum Hydrogel for Effectively Treating Burn Wound
Authors: Bai Yangjing , Lang Shiying , Du Yangrui , Hu Qinsheng , Li Xinyun , Liu Gongyan 
Published: October 2023

AbstractThe development of injectable hydrogel dressings which are long‐term moisturizing, easy‐to‐apply, and effectively inhibiting infection and inflammatory is essential to promote burn wound repairing. Herein, an injectable hydrogel with moisturizing, antibacterial, and anti‐inflammation abilities via multiple reversible interactions between cation guar gum (CG) and metallic‐polyphenolic nanoparticles (PA‐ZnII NPs) is developed. Specifically, PA‐ZnII NPs is formed by synergistic complexation of protocatechualdehyde (PA) and zinc ion (Zn2+), provides CGPZ hydrogel with plentiful reversible interactions to inhibit the loss of moist. By interacting with PA‐ZnII NPs, the CGPZ hydrogel can provide enhanced moisturization for more than 3 days. Moreover, the CGPZ hydrogel can maintain good adhesion for a period of time with injection and self‐healing capabilities due to reversible interactions between CG and PA‐ZnII NPs. In addition, CGPZ hydrogel exhibits outstanding broad spectrum antibacterial performance, as its killing efficiency against Escherichia coli and Staphylococcus aureus is all greater than 99.99%. Importantly, compared with commercial dressing, the CGPZ hydrogel can promote wound healing faster by inhibiting tissue damage from dysregulated inflammation and accelerating neovascularization. It is believed that the moisturizing CGPZ hydrogel with antibacterial and anti‐inflammation performance can serve as a promising dressing for the effective treatment of burn wound.
A preliminary study of dynamic interactive simulation and computational CT scan of the ideal alveolus model
Authors: Liu Yang , Li Longyu , Huang Guangtao , Qiu Weiyan , Yang Yingjian , Guo Yingwei , Li Wei , Xu Jiaxuan , Chen Rongchang , Kang Yan 
Published: October 2023

AbstractBackgroundWhile the development of CT imaging technique has brought cognition of in vivo organs, the resolution of CT images and their static characteristics have gradually become barriers of microscopic tissue research.PurposePrevious research used the finite element method to study the airflow and gas exchange in the alveolus and acinar to show the fate of inhaled aerosols and studied the diffusive, convective, and sedimentation mechanisms. Our study combines these techniques with CT scan simulation to study the mechanisms of respiratory movement and its imaging appearance.MethodsWe use 3D fluid‐structure interaction simulation to study the movement of an ideal alveolus under regular and forced breathing situations and ill alveoli with different tissue elasticities. Additionally, we use the Monte Carlo algorithm within the OpenGATE platform to simulate the computational CT images of the dynamic process with different designated resolutions. The resolutions show the relationship between the kinematic model of the human alveolus and its imaging appearance.ResultsThe results show that the alveolus and the wall thickness can be seen with an image resolution smaller than 15.6 μm. With ordinary CT resolution, the alveolus is expressed with four voxels.ConclusionsThis is a preliminary study concerning the imaging appearance of the dynamic alveolus model. This technique will be used to study the imaging appearance of the dynamic bronchial tree and the lung lobe models in the future.