bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cation‐Vacancy Ordered Superstructure Enhanced Cycling Stability in Tungsten Bronze Anode
Authors: Xiong Xuhui , Yang Liting , Liang Guisheng , Liu Zhengwang , Yang Ziqi , Zhang Ruixuan , Wang Chao , Che Renchao 
Published: July 2022

AbstractNiobium‐based tungsten bronze oxides have recently emerged as attractive fast‐charging anodes for lithium‐ion batteries (LIBs), owing to their structural openings and adjustability. However, electrodes with tungsten bronze structures usually suffer from structural variability induced by Li+ intercalation/de‐intercalation, leading to unsatisfactory cycling performance. To circumvent this limitation, a novel tetragonal tungsten bronze (TTB) structure, Ba3.4Nb10O28.4 (BNO), is developed as an anode material for LIBs with prominent cycling performance. An unprecedented cation‐vacancy ordered superstructure with a periodic distribution of active and inactive sites is revealed inside the BNO. Through multiple characterizations and theoretical studies, it is demonstrated that this superstructure can improve the lithium‐ion diffusion and disperse the structural strain induced by Li+‐intercalation to enable stable Li+‐storage. Benefiting from the superstructure‐induced local structural stability, both the BNO bulk and Ba3.4Nb10O28.4@C (BNO@C) microspheres can deliver >90% capacity retention after 250 cycles at 2 C and close to 90% capacity retention after 2000 cycles at 10 C. These results are of significant importance for establishing the structure–property relationship between the cation‐vacancy ordered superstructure and Li+‐storage performance, facilitating the rational design of stable tungsten bronze anodes.
Hypomethylating agents for the treatment of myelodysplastic syndromes and acute myeloid leukemia: Past discoveries and future directions
Authors: Short Nicholas J. , Kantarjian Hagop 
Published: July 2022

AbstractAzacitidine and decitabine are hypomethylating agents that have dose‐dependent epigenetic and cytotoxic effects and are widely used in the treatment of myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). In this review, we discuss the path to regulatory approval of azacitidine and decitabine, highlighting the substantial efforts that have been made to optimize the dosing schedule and administration of these drugs, including the development of new, oral formulations of both agents. We also review novel combination strategies that are being investigated in ongoing clinical trials for patients with MDS and AML, as well as efforts to expand the current indications of these agents.
SARS‐CoV‐2 humoral responses following booster BNT162b2 vaccination in patients with B‐cell malignancies
Authors: Terpos Evangelos , Fotiou Despina , Karalis Vangelis , Ntanasis‐Stathopoulos Ioannis , Sklirou Aimilia D. , Gavriatopoulou Maria , Malandrakis Panagiotis , Iconomidou Vassiliki A. , Kastritis Efstathios , Trougakos Ioannis P. , Dimopoulos Meletios A. 
Published: July 2022

AbstractPatients with B‐cell malignancies have suboptimal immune responses to SARS‐CoV‐2 vaccination and are a high‐risk population for severe COVID19 disease. We evaluated the effect of a third booster BNT162b2 vaccine on the kinetics of anti‐ SARS‐CoV‐2 neutralizing antibody (NAbs) titers in patients with B‐cell malignancies. Patients with NHL (n = 54) Waldenström's macroglobulinemia (n = 90) and chronic lymphocytic leukemia (n = 49) enrolled in the ongoing NCT04743388 study and compared against matched healthy controls. All patient groups had significantly lower NAbs compared to controls at all time points. 1 month post the third dose (M1P3D) NAbs increased significantly compared to previous time points (median NAbs 77.9%, p < .05 for all comparisons) in all patients. NAbs ≥ 50% were seen in 59.1% of patients, 34.5% of patients with suboptimal responses post‐second dose, elicited a protective NAb titer ≥50%. Active treatment, rituximab, and BTKi treatment were the most important prognostic factors for a poor NAb response at 1MP3D; only 25.8% of patients on active treatment had NAbs ≥ 50%. No significant between‐group differences were observed. Patients with B‐cell malignancies have inferior humoral responses against SARS‐CoV‐2 and booster dose enhances the NAb response in a proportion of these patients.
Circulating TP73‐AS1 and CRNDE serve as diagnostic and prognostic biomarkers for non‐small cell lung cancer
Authors: Yuan Rong‐Xia , Dai Chun‐Hua , Chen Ping , Lv Meng‐Jia , Shu Yang , Wang Zhi‐Peng , Xu Ya‐Ping , Li Jian 
Published: July 2022

AbstractBackgroundCirculating long noncoding RNAs (lncRNAs) are considered a new class of biomarkers for the diagnosis and prognosis of various malignancies. We aimed to identify circulating lncRNAs as biomarkers for the diagnosis and prognosis of non‐small cell lung cancer (NSCLC).MethodsThe expression of 14 candidate lncRNAs was measured in matched cancer and ipsilateral normal lung tissues of 20 patients with NSCLC using quantitative reverse‐transcription PCR. In plasma samples from training and testing sets, significantly and aberrantly expressed lncRNAs, TA73‐AS1 and CRNDE, were further analyzed. Receiver operating characteristic (ROC) curves were constructed, and the areas under the ROC curves (AUC) were obtained to assess diagnostic performance. The Kaplan–Meier survival analysis was used to assess the impact of plasma TA73‐AS1 and CRNDE expression on tumor‐free survival (TFS) of patients with NSCLC. The effect of TP73‐AS1 expression on NSCLC cells was investigated in vitro.ResultsAUC values of plasma TA73‐AS1 and CRNDE were 0.822 and 0.815 in the training set and 0.843 and 0.804 in the testing set, respectively, to distinguish NSCLC from healthy controls. The combination of plasma TP73‐AS1, CRNDE, and two classical tumor markers, carcinoembryonic antigen (CEA) and cytokeratin 19 fragment (CYFRA21‐1), showed excellent diagnostic performance for NSCLC (AUC =0.927 in the training set; AUC = 0.925 in the testing set). Furthermore, the high expression of the two plasma lncRNAs correlated with worse TFS in patients with NSCLC. In vitro cell model studies revealed that TP73‐AS1 overexpression facilitated NSCLC cell survival, invasion, and migration.ConclusionCirculating TP73‐AS1 and CRNDE could be potential biomarkers for the diagnosis and prognostic prediction of NSCLC.
Circulating cytokines allow for identification of malignant intraductal papillary mucinous neoplasms of the pancreas
Authors: Pu Ning , Chen Qiangda , Zhang Jicheng , Yin Hanlin , Wang Dansong , Ji Yuan , Rao Shengxiang , Kuang Tiantao , Xu Xuefeng , Wu Wenchuan , Lou Wenhui 
Published: July 2022

AbstractBackgroundIntraductal papillary mucinous neoplasms (IPMNs) are the precursor lesions of pancreatic cancers, requiring active surgical intervention during cancer development. However, the current criteria for predicting malignant IPMNs remain challenging and limited. Hence, this study aimed to assess the discriminatory performance of circulating cytokines, including TNF‐α, IL‐2R, IL‐6, and IL‐8, then build a novel predictive model to improve the diagnostic accuracy.MethodA total of 131 retrospective (from March 2016 to December 2019) and 53 prospective (from March 2020 to January 2021) patients who were histologically confirmed as IPMNs were consecutively collected and analyzed.ResultThe circulating levels of TNF‐α, IL‐2R, IL‐6, and IL‐8 were significantly elevated in malignant IPMNs, and were verified as independent factors for malignant IPMNs (p < 0.05). Then, a novel score, the circulating cytokine score (CCS), was calculated and demonstrated as an independent predictive indicator with a higher area under the curve (AUC) than each cytokine alone (p < 0.001). Besides the CCS, two high‐risk stigmata features, the presence of solid component (PSC), and main pancreatic duct (MPD) dilation ≥10 mm were also demonstrated as independent indicators for predicting malignant IPMNs. Finally, a novel nomogram incorporating the CCS and these two high‐risk stigmata features presented a remarkable diagnostic performance, both in the training and validation cohorts with AUCs of 0.928 and 0.873, respectively.ConclusionThe CCS can be considered a novel independent predictive indicator for malignant IPMNs. Additionally, the formulated nomogram model integrating the CCS, PSC, and MPD ≥10 mm can be a valuable and promising tool for predicting the malignant transformation of IPMNs during long‐term follow‐ups to assist in timely and accurate surgical decisions.
Using machine learning for mortality prediction and risk stratification in atezolizumab‐treated cancer patients: Integrative analysis of eight clinical trials
Authors: Wu Yougen , Zhu Wenyu , Wang Jing , Liu Lvwen , Zhang Wei , Wang Yang , Shi Jindong , Xia Ju , Gu Yuting , Qian Qingqing , Hong Yang 
Published: July 2022

AbstractBackgroundFew models exist to predict mortality in cancer patients receiving immunotherapy. Our aim was to build a machine learning‐based risk stratification model for predicting mortality in atezolizumab‐treated cancer patients.MethodsData from 2538 patients in eight atezolizumab‐treated cancer clinical trials across three cancer types (non‐small‐cell lung cancer, bladder transitional cell carcinoma, and renal cell carcinoma) were included. The whole cohort was randomly split into development and validation cohorts in a 7:3 ratio. Machine‐learning algorithms (extreme gradient boosting, random forest, logistic regression with lasso regularization, support vector machine, and K‐nearest neighbor) were applied to develop prediction models. Model performance was mainly assessed by area under the receiver operating characteristic curve (AUC) value, calibration plot, and decision curve analysis. The probability of death risk was then stratified.ResultsOne thousand and three hundred and seventy‐nine (54.33%) patients died. The random forest (RF) model was overall the best in terms of predictive performance, with the AUC of 0.844 (95% confidence interval [CI]: 0.826–0.862) in the development cohort and 0.786 (95% CI: 0.754–0.818) in the validation cohort for predicting mortality. Twelve baseline variables contributing to mortality prediction in the RF model were C‐reactive protein, PD‐L1 level, cancer type, prior liver metastasis, derived neutrophil‐to‐lymphocyte ratio, alkaline phosphatase, albumin, hemoglobin, white blood cell count, number of metastatic sites, pulse rate, and Eastern Cooperative Oncology Group (ECOG) performance status. A total of 1782 (70.2%) patients were separated into the high‐risk and 756 (29.8%) low‐risk groups. Patients in the high‐risk group were significantly more likely to die, experience disease progression, discontinue study, and discontinue treatment than patients in the low‐risk group (all p values < 0.001). Risk groups were not associated with immune‐related adverse events and grades 3–5 treatment‐related adverse events (all p values > 0.05).ConclusionRF model has good performance in mortality prediction and risk stratification for cancer patients receiving atezolizumab monotherapy.
Hematological toxicities in PARP inhibitors: A real‐world study using FDA adverse event reporting system (FAERS) database
Authors: Shu Yamin , Ding Yufeng , He Xucheng , Liu Yanxin , Wu Pan , Zhang Qilin 
Published: July 2022

AbstractObjectivePoly ADP‐ribose polymerase inhibitors (PARPis) have significantly improved clinical effects in gynecological oncology. However, PARPis could also induce severe organ system toxicities, including the hematological system. Our study aimed to extensively characterize the hematological toxicities of PARPis based on the real‐world data.MethodsDisproportionality analysis was used to evaluate the association between PARPis and hematotoxicity adverse events. Data were extracted from the US FDA Adverse Event Reporting System (FAERS) database between January 2015 and September 2021. The characteristics of PARPi‐associated hematological toxicities, and the onset time and fatality proportion were further analyzed.ResultsOut of 24,045 adverse events reports, 4088 hematotoxicity reports (17.00%) were analyzed, with a median age of 64.95 (interquartile range [IQR] 51–71) years. All PARPis were detected with positive safety signals of hematological toxicities in four detection methods. Unexpected significant adverse events such as lymphadenopathy, lymphoedema, and metastases to lymph nodes might also occur. The median time‐to‐onset was 28 (IQR 10–101) days and the fatality proportion of hematological toxicities with PARPis was 8.76%, with a statistical difference in different PARPis.ConclusionHematological toxicities caused by PARPis preferred to occur early and might result in serious outcomes. Early identification and response to the PARPi‐related hematological toxicities were important and further basic research were needed to confirm the mechanism of results in this study.
Impact of U.S. Preventive Services Task Force lung cancer screening update on drivers of disparities in screening eligibility
Authors: Maki Kristin G. , Talluri Rajesh , Toumazis Iakovos , Shete Sanjay , Volk Robert J. 
Published: July 2022

AbstractBackgroundIn 2021, the U.S. Preventive Services Task Force (USPSTF) updated its recommendation to expand lung cancer screening (LCS) eligibility and mitigate disparities. Although this increased the number of non‐White individuals who are eligible for LCS, the update's impact on drivers of disparities is less clear. This analysis focuses on racial disparities among Black individuals because members of this group disproportionately share late‐stage lung cancer diagnoses, despite typically having a lower intensity smoking history compared to non‐Hispanic White individuals.MethodsWe used data from the National Health Interview Survey to examine the impact of the 2021 eligibility criteria on racial disparities by factors such as education, poverty, employment history, and insurance status. We also examined preventive care use and reasons for delaying medical care.ResultsWhen comparing Black individuals and non‐Hispanic White individuals, our analyses show significant differences in who would be eligible for LCS: Those who do not have a high school diploma (28.7% vs. 17.0%, p = 0.002), are in poverty (26.2% vs. 14.9%, p < 0.001), and have not worked in the past 12 months (66.5% vs. 53.9%, p = 0.009). Further, our analyses also show that more Black individuals delayed medical care due to not having transportation (11.1% vs. 3.6%, p < 0.001) compared to non‐Hispanic White individuals.ConclusionsOur results suggest that despite increasing the number of Black individuals who are eligible for LCS, the 2021 USPSTF recommendation highlights ongoing socioeconomic disparities that need to be addressed to ensure equitable access.
An effective characterization procedure for petroleum reservoir fluids using molecular type methods and cubic equations of state
Authors: Hosseinifar Pouya , Shahverdi Hamidreza 
Published: July 2022

AbstractTwo eminent molecular type composition methods (paraffins, naphthenes, and aromatics [PNA] and saturates, aromatics, and polynuclear aromatics [SAP]) are employed to construct new characterization procedures for predicting the phase behaviour of petroleum fluids using a modified Peng–Robinson equation of state. The PNA and SAP methods divide a petroleum fraction into (PNA) and (SAP) homologous groups, respectively. Two generalized models are developed to predict the physical properties () and equation of state (EOS) parameters () for both PNA and SAP sub‐fractions. Each generalized model covers 18 different correlations in a single mathematical form that enables the model to return 18 outputs for PNA and SAP sub‐fraction parameters. A new lumping method is also developed to convert triple PNA or SAP pseudo‐components into single characterized fractions. Accordingly, seven different characterization procedures are introduced and compared with one another. The first two procedures are completely constructed based on the proposed models, and the other procedures encompass the models already developed. The results obtained from the simulation of the differential liberation test for 12 diverse reservoir fluids and bubble pressure prediction for 40 oil samples revealed that the first two methods (1 and 2) could enhance the abilities of the traditional characterization procedures for reservoir fluid modelling. The mean value of average absolute relative deviations (AARDs) over a total of 52 oil samples is about 6.5% for the proposed methods and is about 13.2% for the best previously existing methods. Moreover, an efficient workflow is provided for the parameter tuning process, which is notably capable of reducing the level of prediction errors using only three adjustable parameters.
Highly Stretchable and Elastic Polymer Electrolytes with High Ionic Conductivity and Li‐Ion Transference Number for High‐Rate Lithium Batteries
Authors: Qu Xinxin , Guo Yue , Liu Xiaokong 
Published: July 2022

Comprehensive SummaryThe ever‐growing demand for wearable electronics drives the development of stretchable lithium‐ion batteries (LIBs) with fast charging capability, in which stretchable polymer electrolytes (PEs) with high ionic conductivity and lithium‐ion transference numbers () are highly desirable. Herein, we report a highly stretchable and elastic PE with high ionic conductivity and , which is applicable in high‐rate and stretchable LIBs. The PE was fabricated by incorporating polyethylene glycol (PEG) and lithium salts into polyurethane networks, wherein α‐cyclodextrin (α‐CD) acts as the cross‐linker. The PEG chains are cross‐linked by covalent and noncovalent bonds, and some PEG chains enter into the cavity of α‐CD to form PEG/α‐CD inclusions. These structural features effectively suppress crystallization of the PEG chains, hinder movement of the counterions of Li+, and endow PE with satisfactory mechanical robustness. The PE with a tensile strength (0.61 MPa) exhibits a large strain at break (840%) and excellent elasticity, possessing a high ionic conductivity (5.0 × 10–4 S·cm–1) and a high (0.52). The Li‖LiFePO4 battery assembled with the PE delivers a high capacity of 75 mAh·g–1 even at the high rate of 16 C. The battery can be stably cycled for 300 and 200 cycles at 1 C and 4 C, respectively.
AAV gene therapy vectors in the TMJ
Authors: Brouxhon Sabine M. , O'Banion Michael Kerry , Kyrkanides Stephanos 
Published: July 2022

AbstractObjectivesThe goal of this project was to evaluate the use of two adeno‐associated viral vector serotypes, adeno‐associated viral vectors (AAV)‐2 and AAV‐6, approved for and used for gene therapy in humans, for the delivery of therapeutic genes to the temporomandibular joint (TMJ) and the attendant sensory nerves.MethodsYoung adult wild‐type C57BL/6 mice were intra‐articularly inoculated with AAV‐2 and AAV‐6 encoding the reporter gene gfp, the expression of which was assessed in the TMJ as well as along nerves innervating the TMJ.ResultsAAV‐2 and AAV‐6 serotypes were characterized by varying levels of tissue tropism demonstrating different efficacy of infection for articular chondrocytes, meniscal fibroblasts, and trigeminal neurons. Specifically, AAV‐2 infected both neurons and articular chondrocytes/meniscal fibroblasts, whereas AAV‐6 showed selectivity primarily for neurons.ConclusionsThe results of this study are clinically significant in the successful application of gene therapy vectors for TMJ disorders, as this new knowledge will allow for appropriate targeting of specific therapeutic genes to selective tissues (neurons vs. chondrocytes/fibroblasts) as needed by using specific viral vector serotypes.
Marginal and internal fit and fracture resistance of three‐unit provisional restorations fabricated by additive, subtractive, and conventional methods
Authors: Falahchai Mehran , Rahimabadi Samiye , Khabazkar Ghazaleh , Babaee Hemmati Yasamin , Neshandar Asli Hamid 
Published: July 2022

AbstractObjectivesTo compare the marginal and internal fit and fracture resistance of three‐unit provisional fixed dental prostheses (FDPs) fabricated by additive, subtractive, and conventional methods.Material and MethodsEighty 3‐unit FDPs were fabricated on metal dies of the maxillary right second premolar and second molar by four different techniques (n = 20): The direct method by using autopolymerizing polymethyl methacrylate (PMMA), indirect method by the compression molding technique, subtractive manufacturing by using PMMA blocks, and additive manufacturing by using digital light processing technology. The adaptation of restorations at the marginal, axial, cuspal, and fossa areas was assessed by using the silicone replica technique. After thermocycling and cyclic loading, the fracture resistance was measured by a universal testing machine. Data were analyzed by a two‐way analysis of variance (ANOVA), ANOVA, and Tukey test (α = .05).ResultsThe mean gap measured in the additive group was lower than that in all other groups at all points (p < .05); however, the difference in the marginal gap with the subtractive group was not significant (p = .995). The mean marginal and axial gaps in the subtractive group were significantly lower than the corresponding values in both conventional groups (p < .05). A significant difference existed between all groups regarding the mean cuspal and fossa gaps (p < .05). The mean fracture resistance of the additive group was significantly higher than that of indirect (p = .018) and direct (p < .001) groups, and the fracture resistance of the subtractive group was significantly higher than that of the direct group (p = .020).ConclusionThe digitally fabricated provisional FDPs showed superior marginal and internal fit and higher fracture resistance than the conventionally fabricated FDPs. Between the digital methods, the additive technique yielded superior internal fit.
Development and implementation of an electronic Clinical Dementia Rating and Financial Capacity Instrument‐Short Form
Authors: Howell Taylor , Gummadi Shilpa , Bui Chau , Santhakumar Jessica , Knight Kristen , Roberson Erik D. , Marson Daniel , Chambless Carol , Gersteneker Adam , Martin Roy , Kennedy Richard , Zhang Yue , Morris John C. , Moulder Krista L. , Mayo Connie , Carroll Maria , Li Yan , Petersen Ronald C. , Stricker Nikki H. , Nosheny Rachel L. , Mackin Scott , Weiner Michael W. 
Published: July 2022

AbstractIntroductionTo address the need for remote assessments of cognitive decline and dementia, we developed and administered electronic versions of the Clinical Dementia Rating (CDR®) and the Financial Capacity Instrument‐Short Form (FCI‐SF) (F‐CAP®), called the eCDR and eFCI, respectively.MethodsThe CDR and FCI‐SF were adapted for remote, unsupervised, online use based on item response analysis of the standard instruments. Participants completed the eCDR and eFCI first in clinic, and then at home within 2 weeks.ResultsOf the 243 enrolled participants, 179 (73%) cognitively unimpaired (CU), 50 (21%) with mild cognitive impairment (MCI) or dementia, and 14 (6%) with an unknown diagnosis, 84% and 85% of them successfully completed the eCDR and eFCI, respectively, at home.DiscussionThese results show initial feasibility in developing and administering online instruments to remotely assess and monitor cognitive decline along the CU to MCI/very mild dementia continuum. Validation is an important next step.