bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Crossover Number, Distribution, and Interference Using Cytological Assays in Arabidopsis
Authors: Huang Jiyue , Li Xiang , Wang Cong , Wang Yingxiang 
Published: December 2022

AbstractMeiosis involves the replication of nuclear chromosomes in a parent cell, followed by two successive nuclear divisions to produce haploid spores, which differentiate into the gametophyte generations that produce the egg and sperm in plants. Meiotic recombination or crossover (CO) is a hallmark of meiosis that allows shuffling of genetic information between homologous chromosomes (homologs), thereby giving rise to genetically diverse progeny cells and, ultimately, individuals in the progeny; this opens vast opportunities for genetic differentiation and hence speciation. Meiotic COs also ensure the formation of bivalents and fidelity of their equal segregation. Therefore, mechanisms that regulate meiotic recombination have been extensively studied in multiple species. Several approaches have been developed to observe or estimate the frequency of CO, in which CO can be visualized and analyzed cytologically by estimating the number of chiasma (plural chiasmata), a position where non‐sister chromatids exchange genetic material between homologs. Furthermore, one CO event might influence the occurrence of another one nearby, along a chromosome; this is known as CO interference. Over the past decades, visualizing CO events and measuring CO interference have contributed greatly to our understanding of the regulatory mechanisms of meiotic recombination. Here, we describe protocols to estimate the number of chiasmata and CO interference in Arabidopsis using cytological methods involving chromosome spreads and immunostaining. Specifically, we describe how chromosome spreads can be used to estimate the number of chiasmata based on the conformations of metaphase I bivalents and provide a revised acid‐based quick immunostaining assay that permits high‐throughput and quantitative digital estimation of the relative distance between adjacent interference‐sensitive CO foci at diakinesis. These methods can be easily established or modified, if necessary, for studying meiotic recombination in other plants and crops. © 2022 Wiley Periodicals LLC.Basic Protocol 1: Estimation of the number of chiasmata per nucleus based on metaphase I bivalent conformationsBasic Protocol 2: A chromosome spread–based immunostaining method for relative distance analysis of adjacent interference‐sensitive CO foci at diakinesis in Arabidopsis meiocytes
Fabrication of High‐Quality CsPbI3 Perovskite Films with Phosphorus Pentachloride Additive for Highly Stable Solar Cells
Authors: Yang Wanpeng , Yu Haixuan , Dai Letian , Zhang Zhiguo , Gu Anjie , Ban Huaxia , Sun Qiang , Chen Shuangyin , Shen Yan , Wang Mingkui 
Published: December 2022

AbstractFully inorganic perovskite cesium lead triiodide (CsPbI3) has garnered much attention from researcher for photovoltaic application because of its excellent thermal stability compared with the inorganic‐organic hybrid counterparts, along with the potential to serve as the top cell in tandem devices with silicon solar cell. However, the active α‐phase cubic CsPbI3 spontaneously tends to transform into the non‐perovskite δ‐CsPbI3 when subjected to ambient condition. This work proposes an effective method to fabricate high‐quality and stable α‐phase cubic CsPbI3 films by introducing phosphorus pentachloride (PCl5) as an additive. PCl5 acts as colloidal binder for modulating crystallization dynamics of perovskites, resulting in high‐quality film and a significantly suppressed phase transition. Finally, highly stable CsPbI3 perovskite solar cells can be achieved with a power conversion efficiency up to 17.85 %, and a long‐term stability in N2 filled glove box.
OMIP‐087: Thirty‐two parameter mass cytometry panel to assess human CD4 and CD8 T cell activation, memory subsets, and helper subsets
Authors: Sponaugle Alexis , Abad‐Fernandez Maria , Goonetilleke Nilu 
Published: December 2022

AbstractWe developed a highly reproducible 32‐marker mass cytometry panel able to measure all canonical immune lineages and perform detailed characterization of both CD4 and CD8 T cells in human peripheral blood mononuclear cells. In this panel, we identify six different T cell memory subsets, as well as markers of activation, cell cycling, and survival. In addition, this panel classifies all major CD4 T cell helper subsets. This panel enables detailed monitoring of CD4 and CD8 T cells in the context of infectious disease, cancer or autoimmunity with limited patient sample use. Detailed methods for standardization and optimization of the panel can be found in Supporting Information.
Cerebrospinal fluid levels of fatty acid–binding protein 3 are associated with likelihood of amyloidopathy in cognitively healthy individuals
Authors: Dhiman Kunal , Villemagne Victor L. , Fowler Christopher , Bourgeat Pierrick , Li Qiao‐Xin , Collins Steven , Rowe Christopher C. , Masters Colin L. , Ames David , Blennow Kaj , Zetterberg Henrik , Martins Ralph N. , Gupta Veer 
Published: December 2022

AbstractIntroductionFatty acid–binding protein 3 (FABP3) is a biomarker of neuronal membrane disruption, associated with lipid dyshomeostasis—a notable Alzheimer's disease (AD) pathophysiological change. We assessed the association of cerebrospinal fluid (CSF) FABP3 levels with brain amyloidosis and the likelihood/risk of developing amyloidopathy in cognitively healthy individuals.MethodsFABP3 levels were measured in CSF samples of cognitively healthy participants, > 60 years of age (n = 142), from the Australian Imaging, Biomarkers & Lifestyle Flagship Study of Ageing (AIBL).ResultsFABP3 levels were positively associated with baseline brain amyloid beta (Aβ) load as measured by standardized uptake value ratio (SUVR, standardized β = 0.22, P = .009) and predicted the change in brain Aβ load (standardized β = 0.32, P = .004). Higher levels of CSF FABP3 (above median) were associated with a likelihood of amyloidopathy (odds ratio [OR] 2.28, 95% confidence interval [CI] 1.12 to 4.65, P = .023).DiscussionThese results support inclusion of CSF FABP3 as a biomarker in risk‐prediction models of AD.
Associations between diffusion MRI microstructure and cerebrospinal fluid markers of Alzheimer's disease pathology and neurodegeneration along the Alzheimer's disease continuum
Authors: Moody Jason F. , Dean Douglas C. , Kecskemeti Steve R. , Blennow Kaj , Zetterberg Henrik , Kollmorgen Gwendlyn , Suridjan Ivonne , Wild Norbert , Carlsson Cynthia M. , Johnson Sterling C. , Alexander Andrew L. , Bendlin Barbara B. 
Published: December 2022

AbstractIntroductionWhite matter (WM) degeneration is a critical component of early Alzheimer's disease (AD) pathophysiology. Diffusion‐weighted imaging (DWI) models, including diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI), and mean apparent propagator MRI (MAP‐MRI), have the potential to identify early neurodegenerative WM changes associated with AD.MethodsWe imaged 213 (198 cognitively unimpaired) aging adults with DWI and used tract‐based spatial statistics to compare 15 DWI metrics of WM microstructure to 9 cerebrospinal fluid (CSF) markers of AD pathology and neurodegeneration treated as continuous variables.ResultsWe found widespread WM injury in AD, as indexed by robust associations between DWI metrics and CSF biomarkers. MAP‐MRI had more spatially diffuse relationships with Aβ42/40 and pTau, compared with NODDI and DTI.DiscussionOur results suggest that WM degeneration may be more pervasive in AD than is commonly appreciated and that innovative DWI models such as MAP‐MRI may provide clinically viable biomarkers of AD‐related neurodegeneration in the earliest stages of AD progression.
Pituitary carcinoma: A cytopathologic dilemma when metastatic to cervical lymph nodes
Authors: Lahouti Arash H. , Asiry Saeed , Giampoli Ellen J. 
Published: December 2022

AbstractPituitary carcinomas are rare tumors defined by distant metastasis or cerebrospinal spread. The morphologic features are poorly characterized because only a handful of reports have been described by fine‐needle aspiration cytology. We present a case of pituitary carcinoma diagnosed in a 64‐year‐old male and highlight this rare entity's key cytomorphologic features and differential diagnosis.
Performance analysis of a natural gas‐fueled 1 kW solid oxide fuel cell‐combined heat and power system with off‐gas recirculation of anode and cathode
Authors: Wencong Li , Siyuan Li , Zhe Zhang , Shuzhan Bai , Guoxiang Li , Kongrong Ma , Yao Qu 
Published: December 2022

AbstractBoth anode off‐gas recirculation (AOGR) and cathode off‐gas recirculation (COGR) can increase the performance of solid oxide fuel cell‐combined heat and power (SOFC‐CHP) systems on their own, however, they both have unavoidable drawbacks. Thus, the combined effect of both on the system is worth investigating. The essential challenge is to figure out what the best AOGR and COGR ratios are under the combined situation. In this paper, the effects of varied AOGR ratios and COGR ratios on the system performance were investigated. A model of a 1 kW natural gas‐fueled SOFC‐CHP system was constructed which uses Cycle‐Tempo software. It is demonstrated that moderate AOGR can improve the net electrical efficiency, but too much AOGR will reduce the H2 concentration at the anode inlet and prevent the stack from working properly; moderate COGR can improve the thermal efficiency, but too much COGR can lead to large changes in current density variation and cause drastic changes in current, which affects the system and external electrical equipment. While, combining AOGR with COGR can improve both the net electrical and thermal efficiency, which results in higher total efficiency. As a result, the combined configuration of an AOGR ratio of 0.4 and a COGR ratio of 0.4 is recommended. In this scenario, the net electrical efficiency of the system is 47.38%, the thermal efficiency is 28.98%, the total efficiency is 76.37%, and the actual fuel utilization rate is 0.834.
Zinc‐assisted synthesis of Fe‐N‐C catalysts based on polyaniline with high oxygen reduction reaction catalytic activities in direct methanol fuel cells
Authors: Zhang Xuelin , Hou Chenjun , Yuan Weijian , Deng Chengwei , Ji Feng , Tian Li , Lin Guochang , Deng Huichao , Zhang Yufeng 
Published: December 2022

AbstractFe‐N‐C catalysts show great potential to replace Pt/C in oxygen reduction reaction (ORR). Polyaniline (PANI) is an ideal precursor with an abundant and homogeneous distribution of nitrogen sources. However, Fe‐N‐C based on PANI suffers from an unsatisfied performance in acidic media. Herein, a facile zinc‐assisted synthesis of Fe‐N‐C based on PANI was reported in this paper. ZnCl2 templates can be removed completely in the pyrolysis procedure, creating abundant porous structures to accelerate the mass transfer and boost ORR performance. Fe‐N‐C‐2 with the adequate and optimizing amount of zinc shows an excellent ORR performance (E1/2 = 0.91 V in alkaline and E1/2 = 0.825 V in acidic media) compared with Pt/C (E1/2 = 0.89 V in alkaline and E1/2 = 0.84 V in acidic media). Furthermore, a high power density and a long‐term operation within 6 h of direct methanol fuel cell based on brilliant Fe‐N‐C‐2 verify a great promising application of potable power devices in the future.
Deciphering factors driving soil microbial life‐history strategies in restored grasslands
Authors: Yang Yang , Dou Yanxing , Wang Baorong , Xue Zhijing , Wang Yunqiang , An Shaoshan , Chang Scott X. 
Published: December 2022

AbstractIn macroecology, the concept of r‐ and K‐strategy has been widely applied, yet, there have been limited studies on microbial life‐history strategies in temperate grasslands using multiple sequencing approaches. Total phospholipid fatty acid (PLFA) analysis, high‐throughput meta‐genomic sequencing, and GeoChip technologies were used to examine the changes in microbial life‐history traits in a chronosequence of restored grasslands (1, 5, 10, 15, 25, and 30 years since restoration). Grassland restoration increased the relative abundances of Actinobacteria, Proteobacteria, and Bacteroidetes but reduced the relative abundances of Acidobacteria, Planctomycetes, and Chloroflexi. PLFA analysis revealed that grassland restoration reduced the fungi:bacteria and Gram‐positive:Gram‐negative bacteria ratios. Combined with the meta‐genomic data, we found that grassland restoration shifted microorganisms from oligotrophic (K‐) to copiotrophic (r‐) groups, consistent with the increased rRNA operon copy number of the microbial community. Structural equation modeling showed that soil properties positively (p < 0.05) while plant properties negatively (p < 0.05) affected microbial life‐history traits. We built a framework to highlight the importance of plant and soil properties in driving microbial life‐history traits during grassland restoration. Finally, by incorporating meta‐genomic and other microbiological data, this study showed that microbial life‐history traits support the idea that rRNA operon copy number is a trait that reflects resource availability to soil microorganisms.
Withdrawn: MiR‐101‐3p inhibits MTX‐mediated HMGB1 release and reduces recruitment and M1‐like polarization of macrophages through the UBE2D1/KAT2B pathway
Authors: Lu Xixue , Chen Xiangbin , Zhai Yupu , Sun Xiangyu , Xu Jiakun , Wu Zhibing 
Published: December 2022

The above article, published online on 5 December 2022, on Wiley Online Library (https://onlinelibrary.wiley.com/doi/abs/10.1002/htj.22448), has been withdrawn by agreement between the journal Editor in Chief, Hari Bhat, and Wiley Periodicals, LLC.The withdrawal has been agreed due to a technical error at the publisher that caused the article to be mistakenly published online although publication had been canceled because the authors did not approve their proof.
Evaluation of characteristic metabolites of aromatic amino acids in patients with HIV infection at different stages of disease
Authors: Yuan Zhong‐Wen , Gan Hai‐Ling , Jin Hong‐Liu , Feng Xiao‐Ying , Wang Ming , Zhou Hua‐Ping , Zhang Jing 
Published: December 2022

AbstractBackgroundAcquired immune deficiency syndrome (AIDS), human immunodeficiency virus (HIV) infection, and antiretroviral therapy are usually associated with metabolic disorders. Screening for biomarkers to evaluate the progression of metabolic disorders is important for the diagnosis and treatment of HIV infection. This study aimed to establish and validate a method to quantify serum aromatic amino acid (AAA) metabolites as biomarkers of metabolic disorders in patients with HIV.MethodsThe AAAs and metabolites were analyzed using high‐performance liquid chromatography–tandem mass spectrometry. Pearson's correlation, heatmap, and receiver operating characteristic curve analyses were used for statistical analysis.ResultsUnder optimal detection conditions, the lower limits of phenylalanine (Phe), tryptophan (Trp), kynurenine (Kyn), tyrosine, phenylacetylglutamine (PAGln), and 5‐hydroxytryptamine quantification reached 0.02, 0.02, 0.01, 0.02, 0.01, and 0.002 μg/ml, respectively, and the precision of intra‐ and inter‐day was stay below 10.30%. Serum samples were stable for at least 6 months when stored at −80°C. The inter‐group differences and associations between the biomarkers exhibited a particular volatility trend in PAGln, Trp, and Kyn metabolism in HIV‐infected patients with metabolic syndrome.ConclusionsThe developed method can be used for rapid and sensitive quantification of the AAA metabolism profile in vivo to further appraise the process of HIV infection, evaluate intervening measures, conduct mechanistic investigations, and further study the utility of PAGln, a characteristic metabolite of AAA, as a biomarker of HIV infection coupled with metabolic syndrome.
The prevalence and correlates of running away among adolescents in the United States
Authors: Castillo Berenice , Schulenberg John , Grogan‐Kaylor Andrew , Toro Paul A. 
Published: December 2022

AbstractRunaway youth may experience a myriad of challenges associated with significant risks to health and well‐being. To examine the prevalence and correlates of running away from home among US youth. Annual US nationally representative samples of 8th and 10th graders between 2005 and 2017 from the Monitoring the Future study. Self‐reports of nationally representative samples of 8th and 10th graders in the US Annual survey data from 8th and 10th graders spanning 2005–2017, n = 116,520. The primary outcome of this study, running away from home in the past 12 months, was examined using multivariable weighted logistic regression. Predictor measures included: parent and peer relationships, school factors (e.g., grade point average [GPA]), internalizing symptoms, externalizing behavior, and substance use (alcohol, marijuana, and cigarettes). Demographic measures in the model were grade level (8th or 10th), gender (boys or girls), parent education, and race/ethnicity. The annual prevalence of running away decreased significantly from 8.3% in 2005 to 6.1% in 2017. Demographically, running away from home was significantly lower among boys compared with girls. Multivariable logistic regression model results revealed that higher levels of parental involvement, GPA, and self‐esteem are all significantly related to lower odds of running away from home. Having peers who drop out of school, going on more date nights, self‐derogation, interpersonal aggression, sensation seeking, theft, and property damage, as well as past 12‐month alcohol use, past 12‐month marijuana use, and past 30‐day cigarette use were all associated with higher odds of running away from home. Annual prevalence of running away from home has been decreasing, but still affects a large number of teens. Running away is associated with numerous challenges across social, behavioral, and health domains that can further negatively impact the health and well‐being of this already vulnerable population.
Abnormal placenta implantation. Integration between first‐ and third‐trimester imaging in predicting the severity of Placenta Accreta Spectrum (PAS) disorders
Authors: D'Antonio Francesco , Calagna Gloria , Sara Tinari , Gaspare Cucinella , Chiantera Vito , Calì Giuseppe 
Published: December 2022

AbstractPlacenta accreta spectrum (PAS) disorders are pathological conditions correlated to a high risk of adverse maternal surgical outcomes, especially if not diagnosed. In the last 10 years, the literature interest for prenatal diagnosis of PAS disorders has been noticeably greater. More recently, significant progression in prenatal imaging techniques permitted an increase of early identified cases and a more accurate diagnosis of these anomalies, especially in women with multiple risk factors. The aim of this chapter is to give an overhaul on prenatal diagnosis of PAS disorders throughout gestation and to report whether integration between first‐ and third‐trimester ultrasound can predict the development and severity of these anomalies.
Assessment of Beat‐To‐Beat Variability in Left Atrial Hemodynamics Using Real Time Phase Contrast MRI in Patients With Atrial Fibrillation
Authors: DiCarlo Amanda L. , Haji‐Valizadeh Hassan , Passman Rod , Greenland Philip , McCarthy Patrick , Lee Daniel C. , Kim Daniel , Markl Michael 
Published: December 2022

BackgroundHemodynamic assessment of left atrial (LA) flow using phase contrast MRI provides insight into thromboembolic risk in atrial fibrillation (AF). However, conventional flow imaging techniques are averaged over many heartbeats.PurposeTo evaluate beat‐to‐beat variability and LA hemodynamics in patients with AF using real time phase contrast (RTPC) MRI.Study TypeProspective.SubjectsThirty‐five patients with history of AF (68 ± 10 years, nine female), 10 healthy controls (57 ± 19 years, four female).Field Strength/Sequence5T, 2D RTPC with through‐plane velocity‐encoded gradient echo sequence and 4D flow MRI with three‐directional velocity‐encoded gradient echo sequence.AssessmentRTPC was continuously acquired for a mid‐LA slice in all subjects. 4D flow data were interpolated at the RTPC location and normally projected for comparison with RTPC. RR intervals extracted from RTPC were used to calculate heart rate variability (HRV = interquartile range over median × 100%). Patients were classified into low (<9.7%) and high (>9.7%) HRV groups. LA peak/mean velocity and stasis (%velocities < 5.8 cm/sec) were calculated from segmented 2D images. Variability in RTPC flow metrics was quantified by coefficient of variation (CV) over all cycles.Statistical TestsPearson's correlation coefficient (r), Bland–Altman analysis, Kruskal–Wallis test. A P value < 0.05 was considered statistically significant.ResultsRTPC and 4D flow measurements were strongly/significantly correlated for all hemodynamic parameters (R2 = 0.75–0.83) in controls. Twenty‐four patients had low HRV (mean = 4 ± 2%) and 11 patients had high HRV (27 ± 9%). In patients, increased HRV was significantly correlated with CV of peak velocity (r = 0.67), mean velocity (r = 0.51), and stasis (r = 0.41). A stepwise decrease in peak/mean velocity and increase in stasis was observed when comparing controls vs. low HRV vs. high HRV groups. Mean velocity and stasis differences were significant for control vs. high HRV groups.ConclusionsRTPC may be suitable for assessing the impact of HRV on hemodynamics and provide insight for AF management in highly arrhythmic patients.Evidence Level1Technical EfficacyStage 2
Seasonal behaviour and influence of altitude on fog‐water collection in the Eastern Iberian Peninsula (2003–2012)
Authors: Corell David , Estrela María José , Valiente José Antonio 
Published: December 2022

AbstractA study on fog‐water collection potential at the Mediterranean Iberian Peninsula was carried out for the period 2003–2012. The area is denoted by a high population density, with fairly common water restrictions in certain periods during the year. Moreover, climate change projections point out a sharp drop in precipitation for this sector of the western Mediterranean Basin that would aggravate water problems. This work aims to look closely at knowledge of fog‐water collection and it presents results about: its behaviour during different seasons of the year; the fog‐water collection potential on dry days (precipitation <1 mm); the influence of site elevation on both collected volumes and the number of days with fog‐water collection. To do so, daily fog‐water collection data were analysed from 2003 to 2012 with a dense network of 23 fog‐water collectors, which run along the Mediterranean coast of the Iberian Peninsula. The most relevant results were: (a) the seasonal periods with the largest recorded fog‐water volumes were autumn and spring; the highest percentages of days with fog‐water collection were obtained in summer and autumn; (b) on days when precipitation was null or negligible (<1 mm), maximum daily fog‐water captures were considerable and exceeded 25 L m−2 at more than half the studied sites; (c) the greater the positive difference in elevation between nearby stations, the larger the positive difference in both fog collected volumes and fog days at equal exposition to prevailing winds, differences that increase in the summer period. Mount Muela (Murcia Region), combining a pair of stations only distanced by 600 m but at a 92‐m elevation difference, reported a contrast of two times the collected volume at the upper station compared to the lower and an increment of 61% more days with fog occurrence. Mount Montseny (Catalonia), with a pair of stations distanced by 1,600 m horizontally and 398 m in elevation difference, obtained a sixfold variation between stations for fog‐water collection and a 73% increment in foggy days.