bluuebunny/crossref_metadata_2025_split huggingface dataset:
Isolated Right Ventricular Metastasis of Hepatocellular Carcinoma: Clinical Findings and Histopathology of an Atypical Presentation
Authors: See Aaron Yee Shuen , Kasiviswanathan Pulkit , Syed Masood Pasha , Minervini Marta , Sahin Ibrahim Halil , Krauze Michal 
Published: December 2024

ABSTRACTCardiac metastases are a rare site for metastatic hepatocellular carcinoma (HCC). We describe an atypical presentation of an isolated right ventricular metastasis of HCC following successful treatment with no evidence of primary disease recurrence. The case presented as gradually worsening hypertension and erythrocytosis in the setting of normal surveillance scans and alpha‐fetoprotein levels. The mass was detected on transthoracic echocardiogram and treated with surgical resection. Histopathological features of the tumor demonstrated features associated with WNT/β‐catenin mutated HCC, such as microtrabecular, acinar, and bile staining with positive glutamine synthetase expression.
Creation of root cause analysis and action (RCA2) standard work by a multidisciplinary team to prevent harm, reduce bias, and improve safety culture
Authors: Musheno Donise , Harnish Mary , Roberts Justin , Smokowicz Andrew 
Published: December 2024

AbstractThis project aimed to (1) develop a multidisciplinary team to rapidly conduct event analysis, (2) create tools to standardize event communication, (3) expand resiliency support provided to staff, and (4) decrease cycle time between event occurrence and action implementation. A multidisciplinary team was created to investigate safety events. The team developed standard work including key stakeholder notification of the event, a huddle to facilitate immediate mitigation of risk, staff resiliency support, a consistent interview approach, analysis of investigation data, and an accountability meeting to ensure consensus on steps required to prevent future harm. Sustainability is hardwired through ongoing monitoring of metrics. The baseline data collection period was January 2020 through December 2022 (n = 41) and the intervention period was January 2023 through December 2023 (n = 25). First interview time was reduced from 2 days (SD = 2.38) to 1 day (SD = 1.20, p < 0.0001). Mean event finalization decreased from 31 (SD = 13.75) to 13 days (SD = 6.75, p < 0.001). Staff nervousness score decreased from 32.40 pre‐interview to 13.96 post‐interview (p < 0.001) on a 100‐point analog scale. Non‐fall related safety events decreased from an average of 10.5 per year between July 1, 2021–June 30, 2023 to a total of 6 between July 1, 2023–June 30, 2024 (p = 0.05).
Cytomegalovirus Disease in Renal Allograft Recipients in the Current Immunosuppression Era
Authors: Housawi Abdulrahman , Woodman Alexander 
Published: December 2024

ABSTRACTThe high prevalence of cytomegalovirus (CMV) after kidney transplantation, along with its significant morbidity, mortality, and financial burden, makes it a serious infectious complication. This retrospective observational study aimed to determine the incidence of CMV infection and recurrence in renal transplant recipients during the era of immunosuppression (IS), and to identify modifiable predictors of CMV infection. A total of 233 patients were screened for CMV disease incidence and predictors and were prospectively followed. The incidence of CMV disease was found to be 14.6% (95% CI, 11.7%−18%), with no recurrence observed. Multivariate analysis revealed that factors such as CMV serostatus and a positive B‐cell crossmatch at transplantation were associated with an increased risk of CMV. Specifically, patients with a positive B‐cell crossmatch had a threefold higher risk of developing CMV compared to those with a negative crossmatch (p = 0.025). This association is a novel finding and should be considered when assessing risks and complications in patients. There was a lower incidence of CMV infection among kidney transplant recipients within the first 2−5 years after transplantation. A positive B‐cell crossmatch at the time of transplantation was strongly associated with an increased risk of developing CMV disease.
Engrailed1 in Parvalbumin‐Positive Neurons Regulates Eye‐Specific Retinogeniculate Segregation and Visual Function
Authors: Chen Yuqing , Jiang Chengyong , Yan Biao , Zhang Jiayi 
Published: December 2024

ABSTRACTHomeobox transcription factor Engrailed1 (En1) is expressed in the ectoderm and mediates the establishment of retinotectal topography, but its role in eye‐specific retinogeniculate segregation and visual function remains unclear. Parvalbumin (PV) neurons, which are widely distributed in the visual pathway, play a crucial role in visual development and function. In this study, we conditionally knocked out En1 gene in PV neurons and found an expansion of the ipsilateral eye projection, while no significant effects were observed in the contralateral eye projection. Additionally, we observed a decrease in the number of PV neurons in PV‐Cre:En1fl/fl mice, accompanied by an increased level of cleaved caspase‐3 in PV neurons. Furthermore, the genetic ablation of PV neurons in the retina through intraocular AAV‐DIO‐Caspase3 injection in PV‐Cre mice was sufficient to disrupt retinogeniculate segregation. Finally, we observed that PV‐Cre:En1fl/fl mice exhibited enhanced visual depth perception in the visual cliff test. These results demonstrate that En1 in PV neurons participates in eye‐specific retinogeniculate segregation through cell survival and regulates binocular vision.
Effect of degrees of milling on the volatile compounds of cooked fragrant Simiao rice: differential volatiles obtained by GC‐MS‐based untargeted metabolomics
Authors: Lai Rui , Liu Jie , Huang Qing , Fei Xiaoji , An Hongzhou , Lin Qian , Wang Lina 
Published: December 2024

AbstractBACKGROUNDAlterations in the degrees of milling (DOM) could significantly influence the odor of rice. A gas chromatography‐mass spectrometry (GC‐MS)‐based untargeted metabolomics method has been effectively employed to identify the differential volatiles among rice from various origins or varieties, although it has not been utilized to identify the differential volatiles among cooked rice with different DOM.RESULTSFifty volatile compounds were detected in cooked brown rice (CBR), cooked medium‐milled rice (CMMR) and cooked well‐milled rice (CWMR) of the four fragrant Simiao rice by GC‐MS. A comprehensive GC‐MS‐based untargeted metabolomics analysis revealed 25 differential volatiles among CBR, CMMR and CWMR. Among them, seven differential volatiles, namely hexanal, octanal, decanal, (E,E)‐2,4‐decadienal, vanillin, acetoin and pentanol, as well as one differential volatile (dibutyl phthalate), were determined as volatile markers for CBR and CMMR, respectively. Moreover, acetoin was identified to distinguish among CBR, CMMR, and CWMR of fragrant Simiao rice.CONCLUSIONGC‐MS‐based untargeted metabolomics could be effectively applied to screen differential volatiles in cooked rice with different DOM. The 25 differential volatiles identified could significantly contribute to the distinctive odor in cooked fragrant Simiao rice with different DOM. © 2024 Society of Chemical Industry.
Synergy of Pollinators and Flower Strips: A Systematic Review and Bibliometric Analysis of Global Research Trends
Authors: Herrera Cerquera Juan Pablo , Parra Cortés Claudia , Zapata Ríos Evelin , Aroca Pulido Claudia Tatiana , Vargas Guarín Arsened 
Published: December 2024

ABSTRACTThe integration of pollinators and flower strips into agricultural landscapes has emerged as a key strategy for addressing current challenges in agricultural sustainability and biodiversity conservation. This study presents a comprehensive global bibliometric analysis of research trends in this field from 2009 to 2023, offering an in‐depth overview of progress and remaining gaps. By reviewing 155 publications retrieved from the Web of Science (WoS) database, advanced tools such as VOSviewer and Tree of Science were used to analyze author networks, thematic dynamics, and citation patterns, identifying areas of significant impact and research growth. The results reveal a steady annual growth rate of 23.6% in scientific output, with Germany, the United Kingdom, and the United States leading the field, collectively accounting for 54.2% of the publications. More than 76.8% of these studies were published in the last 5 years, highlighting an increasing interest in incorporating flower strips as part of sustainable agricultural strategies. However, despite this progress, our analysis identifies a critical gap in understanding the long‐term ecological and economic impacts of flower strips, particularly regarding their effectiveness in enhancing pollinator health and agricultural productivity. Additionally, there is a dearth of research on their adaptation and implementation in diverse geographic contexts, such as tropical and arid regions, where specific environmental conditions may influence their performance and sustainability. Most of the reviewed studies are short‐term, limiting the understanding of flower strips' long‐term effects on agricultural productivity and biodiversity. Additionally, there is a significant lack of research focusing on the implementation and effectiveness of flower strips in tropical and arid regions, emphasizing the need to expand the geographical scope of future studies. To maximize the potential of flower strips, we recommend developing standardized methodologies to consistently assess pollination services and encouraging interdisciplinary collaboration to address the complex interactions between agricultural practices, pollinator conservation, and ecosystem services. Beyond providing a solid foundation for future research, this analysis offers critical recommendations for the development of agricultural policies that promote biodiversity and agroecosystem resilience, thereby helping to mitigate the effects of climate change and enhance global agricultural sustainability.
Nanoscale Liposomes Co‐Loaded with Irinotecan Hydrochloride and Thalidomide for Colorectal Cancer Synergistic Therapy
Authors: Sun Xuanrong , Gong Yubei , Xie Ting , Fu Zixi , Lu Dongze , Wei Bin , Cai Yue , Yao Wenlong , Shen Jie 
Published: December 2024

AbstractIrinotecan hydrochloride (CPT‐11) is one of the first‐line drugs used in the clinical treatment of colorectal cancer (CRC). However, the concomitant adverse effect of delayed diarrhea has hindered its clinical use. CPT‐11 combined with Thalidomide (THA) therapy is considered a palliative strategy. To optimize the synergistic treatment of CPT‐11 and THA, co‐loaded liposomes are constructed using cholesterol, lecithin, and 1, 2‐Distearoyl‐sn‐glycero‐3‐phosphoethanolamine‐Poly(ethylene glycol) (DSPE‐PEG) as the “immune and gut microbiota regulator.” The co‐loaded liposomes, which possess good stability, are prepared by the solvent injection method. After the treatment with the co‐loaded liposomes, tumor growth in CRC‐bearing mice is significantly inhibited. In particular, the co‐loaded liposomes demonstrate favorable diarrhea‐relieving effects through the modulation of inflammatory cytokines and gut microbiota. These findings suggest that the co‐loaded liposomes have great potential as a combined drug‐delivery platform for CRC therapy.
Parametric appraisal and wear prediction of red brick dust filled epoxy composites using finite element method
Authors: Gupta G. , Purohit A. , Kumar S. S. , Mohanty C. P. , Ray S. , Pati P. R. 
Published: December 2024

AbstractThis article proposes the development of a novel polymer composites using non‐conventional materials, specifically constructional wastes such as red brick dust, in different weight percentages (0 wt.‐%, 10 wt.‐%, 20 wt.‐%, and 30 wt.‐%) and their erosion wear characteristics has been studied. Solid particle erosion test equipment is employed to evaluate the erosion wear characteristics of the composites. According to the study, adding red brick dust to epoxy resin enhances its erosion resistance. The influence of input parameters has also been evaluated using Taguchi approach. The results of this experiment show that the most important variables influencing the composites′ wear rate are impact velocity and filler content. The factor combinations A2B4C4D2E3 exhibit the lowest erosion wear. Moreover, a commercial finite element method tool called ANSYS 2019 R2 is utilized to estimate the wear rate of epoxy/red brick dust composites. After that, the experimental and predicted wear rates of the composites are compared, and it is discovered that the two sets of data accord better. Scanning electron microscopy is utilized to examine the eroded composite samples, and the potential wear causes are explored.
A generalized three‐parameters model to describe the strain‐life curve under asymmetrical cyclic loading
Authors: Li J. , Wang R. , Li X. L. , Qiu Y. Y. 
Published: December 2024

AbstractIt is widely known that the mean stress has substantial influence on fatigue life of material under asymmetrical loading. Hence, it is important to take into account the mean stress effect in fatigue life prediction. In this work, an equivalent strain amplitude that is similar to the Smith‐Watson‐Topper's parameter was proposed by introducing the mean stress term. The new strain‐life model resulting from the proposed equivalent strain amplitude can be used to correlate the uniaxial fatigue data under both symmetrical and asymmetrical cyclic loadings. Extensive experimental validations using 394 data sets from 10 metals collected from the literature show that the established model can provide good estimations for the loadings with various mean stresses, including compression‐compression cyclic loading.
Gastrointestinal Dysfunction Bears on the Clinical‐Biological Profile of Parkinson's Disease
Authors: Bissacco Jacopo , Bovenzi Roberta , Conti Matteo , Simonetta Clara , Mascioli Davide , Cerroni Rocco , Sancesario Giulia Maria , Grillo Piergiorgio , Pierantozzi Mariangela , Stefani Alessandro , Mercuri Nicola Biagio , Camacho Marta , Schirinzi Tommaso 
Published: December 2024

AbstractBackgroundGastrointestinal dysfunction (GID) accompanies any phase of Parkinson's disease (PD), underlying differential clinical‐pathological trajectories.ObjectiveTo investigate associations between GID and peripheral immune or neurodegeneration‐related markers in PD.MethodsOne‐hundred‐and‐fourteen patients (n = 55 de novo, DN; n = 59 middle‐advanced, MA) completed the Gastrointestinal Dysfunction Scale for PD (GIDS‐PD), and other motor and non‐motor scales; paired measurement of amyloid‐β42, amyloid‐β42β/β40, total‐tau, phosphorylated‐181‐tau, total α‐synuclein CSF levels, albumin ratio, and peripheral blood cell count were collected. Group and correlation analyses were performed.ResultsMA patients had greater GID than DN. GIDS‐PD scores directly correlated with MDS‐UPDRS‐III and non‐motor scores in both groups, although more in DN. GIDS‐PD scores were directly associated with α‐synuclein and inversely with lymphocytes only in DN; conversely, they were positively associated with tau proteins and albumin ratio, and negatively with amyloid‐β‐peptides in both groups.ConclusionsThe burden of GID increases along the PD course with associated stage‐specific clinical‐biological patterns.
A qBOLD‐based clinical radiomics‐integrated model for predicting isocitrate dehydrogenase‐1 mutation in gliomas
Authors: Wu Jingzhi , Qiu Jun , Yang Ying , Sun Wen , Wang Peng , Hu Panpan , Yang Yidong , Liu Ying , Wen Jie 
Published: December 2024

AbstractBackgroundQuantitative blood oxygenation level–dependent (qBOLD) technique can be applied to detect tissue damage and changes in hemodynamic in gliomas. It is not known whether qBOLD‐based radiomics approaches can improve the prediction of isocitrate dehydrogenase‐1 (IDH‐1) mutation.PurposeTo establish a qBOLD‐based clinical radiomics‐integrated model for predicting IDH‐1 mutation in gliomas.MethodsA total of 125 patients of grade II–IV glioma (IDH1 mutation: IDH1 wild‐type = 50:75) were divided into a training group (n = 87) and a validation group (n = 38). Contrast enhanced T1‐weighted (CE‐T1W), T2‐weighted (T2W), and 3D multi‐gradient‐recalled‐echo (MGRE) images were acquired. Radiomics features were extracted from the region of interests of each image. The feature selection and support vector machine radiomics models were established for each sequence. A clinical radiomics–integrated model was finally constructed combining the best radiomics model with age. The predictive effectiveness of the models was evaluated by area under the receiver operating characteristic curve (AUC). Brier score was used to assess overall predictive performance. Decision curve analysis and calibration curve were also conducted.ResultsThe best radiomics model was CE‐T1W + T2W + qBOLD with AUCs of 0.823 (95% confidence interval [CI]: 0.743–0.831) in the training group and 0.751 (95% CI: 0.655–0.794) in the validation group, respectively. The clinical radiomics–integrated model, incorporating the best radiomics model with age, showed the best predictive effectiveness with AUCs of 0.851 (95% CI 0.759–0.918) in the training group and 0.786 (95% CI 0.622–0.902) in the validation group.ConclusionA clinical radiomics‐integrated model that combined qBOLD parametric maps, CE‐T1W, and T2W images with age achieved promising performance for predicting IDH1 mutation in glioma patients.
Improved deep learning‐based IVIM parameter estimation via the use of more “realistic” simulated brain data
Authors: Wang Lu , Wang Jiechao , Yang Qinqin , Cai Congbo , Xing Zhen , Chen Zhong , Cao Dairong , Cai Shuhui 
Published: December 2024

AbstractBackgroundDue to the low signal‐to‐noise ratio (SNR) and the limited number of b‐values, precise parameter estimation of intravoxel incoherent motion (IVIM) imaging remains an open issue to date, especially for brain imaging where the relatively small difference between D and D* easily leads to outliers and obvious graininess in estimated results.PurposeTo propose a synthetic data driven supervised learning method (SDD‐IVIM) for improving precision and noise robustness in IVIM parameter estimation without relying on real‐world data for neural network training.MethodsOn account of the absence of standard IVIM parametric maps from real‐world data, a novel model‐based method for generating synthetic human brain IVIM data was introduced. Initially, the parameter values of synthetic IVIM parametric maps were sampled from the complex distributions composed of a series of simple and uniform distributions. Subsequently, these parametric maps were modulated with human brain texture to imitate brain tissue structure. Finally, they were used to generate synthetic human brain multi‐b‐value diffusion‐weighted (DW) images based on the IVIM bi‐exponential model. With the proposed data synthesis method, an ordinary U‐Net with spatial smoothness was employed for IVIM parameter mapping within a supervised learning framework. The performance of SDD‐IVIM was evaluated on both numerical phantom and 20 glioma patients. The estimated IVIM parametric maps were compared to those derived from five state‐of‐the‐art methods.ResultsIn numerical phantom experiments, SDD‐IVIM method produces IVIM parametric maps with lower mean absolute error, lower mean bias, and higher structural similarity compared to the other five methods, especially when the SNR of DW images is low. In glioma patient experiments, SDD‐IVIM method offers lower coefficient of variation and more reasonable contrast‐to‐noise ratio between tumor and contralateral normal appearing white matter than the other five methods.ConclusionOur method owns superior performance in parametric map quality, parameter estimation precision, and lesion characterization in IVIM parameter estimation, with strong resistance to noise.
Histological Validation of Multi‐Echo Gradient Echo (MGRE)‐Derived Myelin Water Fraction (MWF) at 9.4 T and the Influence of Orientation on Quantification
Authors: Thompson Garth John , Wang Ziyi , Kim Jae‐Yoon , Li Hui , Kim Dong‐Hyun , Ye Qiong , Su Min‐Ying 
Published: December 2024

ABSTRACTMyelin is essential in the nervous system of mammals. As the location and degree of myelin loss can reflect varied pathophysiological status, noninvasive measurement of myelin is of high importance. The magnetic resonance imaging (MRI) technique of myelin water fraction (MWF) derived from multi‐echo gradient echo (MGRE) sequence is a promising tool for the quantification of myelin content due to the low specific absorption rate (SAR) compared with the spin‐echo sequence, time efficiency, and wide availability. Yet to our knowledge, MGRE‐derived MWF has never been quantitatively validated with histology. The main objective of this study was to quantitatively validate the MRI findings by referencing the myelin histology using a rat model. As a second objective, we investigated how the orientation of white matter fibers with respect to the static B0 field impacted both the apparent transverse relaxation rate (R2* = 1/T2*) and the derived MWF. Moreover, MWF is known to change with age; thus, we compared rat brains of different ages. The orientation effect of MWF in a clinical setting was studied using 3 T human data. Twenty ex vivo rat brains with different ages and three healthy volunteers were scanned on a 9.4 T Bruker and 3.0 T Siemens systems, respectively. The 3D MGRE and diffusion tensor imaging (DTI) data were acquired. Our results showed a highly significant correlation between MGRE‐derived MWF and histological stain of myelin, and susceptibility and diffusivity also demonstrated a significant association with myelin. Both MWF and R2* (R2* = 1/T2*) values changed as a function of orientation, and the function varied with age. Furthermore, MWF and R2* were more sensitive to age than DTI. In vivo 3 T human MWF also changed substantially with the orientation as well. Our results support that MGRE‐derived MWF can be used to assess the myelin content quantitatively.