bluuebunny/crossref_metadata_2025_split huggingface dataset:
Primary and mental health service use in community health center patients before and after cancer diagnosis
Authors: Larson Annie E. , Angier Heather , Suchocki Andrew , Voss Robert W. , Marino Miguel , Warren Nathaniel , Huguet Nathalie 
Published: April 2022

AbstractBackgroundCancer survivors face increased risk for chronic diseases resulting from cancer, preexisting conditions, and cancer treatment. Having an established primary care clinic or health insurance may influence patients’ receipt of recommended preventive care necessary to manage, treat, or diagnose new conditions. This study sought to understand receipt of healthcare in community health centers (CHCs) before and after cancer diagnosis among cancer survivors. We also examined the type of care received and assessed whether being established with a CHC or the type of health insurance affected the use of services.MethodsUsing electronic health record data and linked cancer registries from 5,649 CHC patients in three states from 2012 through 2018, we obtained monthly rates of primary care and mental health/behavioral health (MHBH) visits and the probability of receipt of care before and after a cancer diagnosis.ResultsSeventy‐five percent of CHC patients diagnosed with cancer returned to their primary CHC for care within 2‐years of their diagnosis. Among those who returned, there was a sharp increase in primary and MHBH care shortly before their diagnosis. Significantly more primary care (pre: 19.6%, post: 21.9%, p < 0.001) and MHBH care (pre: 1.2%, post: 1.6%, p < 0.001) was received after diagnosis than before. However, uninsured patients had fewer visits after their diagnosis than before.ConclusionUse of preventive care for cancer survivors is particularly important. Having an established primary care clinic may help to ensure survivors receive recommended screening and care.
Modulating AgIn@In2O3 Core–Shell Catalysts for Amplified Electrochemical Reduction of CO2 to Formate
Authors: Wu Guangqing , Chen Wu , Pang Yongyu , Xie Ruikuan , Xia Dong , Chai Guoliang 
Published: April 2022

AbstractElectrochemical CO2 reduction (ECO2RR) is a promising way to convert CO2 into valuable products, while requiring highly active and selective electrocatalysts. Herein, we synthesize a series of AgIn/In2O3 catalysts with AgIn bimetallic core and In2O3 shell structure for ECO2RR to produce formate. The AgIn bimetallic core improved the conductivity of the catalysts and the In2O3 shell was reduced to In that served as active sites during the electrochemical reduction process. The activity and selectivity of formate production is related to the indium content in the AgIn/In2O3 catalyst. The optimized Ag50In50@In2O3 catalyst exhibited a high faradaic efficiency of 83 % at −0.9 V and −1.0 V vs. RHE for formate and the corresponding H2 selectivity was largely suppressed to below 10 % of the applied potentials. There was no significant decay in current density and faraday efficiency of formate after 12 hours of stability testing. Density functional theory calculations indicated that the adsorption energy of *OCHO intermediate on the In shell was reduced due to the Ag−In interface interaction and enhanced charge transfer compared with pure In surface, which lead to the increased selectivity of formate.
Alkali resistance testing methodology and development: Focus on mullite based castables
Authors: Haines Katherine , Byrd Kasandralee , Lankard David 
Published: April 2022

AbstractAluminosilicate refractories, which are widely used in alkali‐rich environments, typically have a matrix that is close to mullite in composition. It is the matrix component that is most vulnerable to attack in service.In this study, the “matrix” is identified as including the mixed water and the solid constituents with a particle size less than 0.5 mm. The formulation of experimental compositions was done on a volume percent basis to account for differences in the specific gravity of the components. This approach fixes the volume percent of water and provides the means to replace any of the solid constituents with an equal volume of other refractory materials. Aided by using polished thin sections, characterization procedures provide for the generation of information on microstructural, chemical, and mineralogical changes of the matrix after exposure to a corrosive environment.
Revisiting the Environment Effect on Mass Transfer for Heterogenized Pd6Ru8 Metal‐Organic Cage Photocatalyst Confined within 3D Matrix
Authors: Wu Dong‐Jun , Luo Yucheng , Li Xuan , Su Zhi‐Fang , Shi Jian‐Ying , Su Cheng‐Yong 
Published: April 2022

AbstractArtificial light‐driven splitting of water into hydrogen involves multiple links to emulate natural photosynthesis, including light absorption, electron or energy transfer, surface catalysis et al., in which, the mass transportation of sacrificial reagent and reactant is always ignored. Metal‐organic cage (MOC) of Pd6Ru8 (MOC‐16), assembling multiple photosensitive Ru and catalytic Pd concomitant with directional electron transfer between them, provides an opportunity to explore the environmental effects from the view point of mass transportation without disturbance of other links. Zr‐MOF of UiO‐66 is used as a matrix to heterogenize MOC‐16 and a series of characterizations are carried out to unravel the composition, structure and optical properties. The intact MOC‐16 remains with long‐term photo‐stability and the outstanding photocatalytic activity is obtained by virtue of a long‐lived triplet state. Three matrixes of ZIF‐8, ZIF‐8 derived carbonate CZIF, and UiO‐66 are intercompared for mass transfer based on wettability and porous structure. Water molecule directly takes part in the formation of H2 catalyzed by MOC‐16@UiO‐66, evidenced by a kinetic isotope effect, in addition to the proton delivery thanks to the hydrophilic nature of UiO‐66. The porous structure of UiO‐66 is essential for the permeation of sacrificial reagent to serve as two‐electron donor, in sharp contrast as one‐electron donor in nonporous CZIF matrix. These results highlight the importance of microenviroment surrounding molecular catalysts in view of the heterogenization of molecular catalysts, meanwhile, providing a prominent guidance on how to choose 3D support to bridge the homogenous and heterogenous system.
Pathologist‐performed ultrasound‐guided fine‐needle aspirations of the thyroid: A single institution observational study
Authors: McKenzie David R. , Kliassov Evelyna G. , Dash Rajesh C. , Foo Wen‐Chi , Jones Claudia K. , Jiang Xiaoyin 
Published: April 2022

BACKGROUNDUltrasound‐guided fine‐needle aspiration biopsies (USFNAs) are increasingly performed by pathologists. This study was designed to assess the diagnostic yield and characterization of thyroid nodules biopsied at a teaching hospital setting in which both attending physicians and trainees are involved in the performance of USFNAs.METHODSA retrospective study of pathologist‐performed USFNAs of thyroid cases was performed over a period of 9 years at a tertiary medical center. Data collected included patient characteristics and The Bethesda System diagnostic categories.RESULTSOver the study period, 1531 USFNAs of thyroid nodules were performed in the pathology‐based clinic, with 1209 lesions in females and 322 in males. Ninety‐three percent of samples were sufficient for diagnosis (n = 1420). The majority of nodules biopsied were benign (65.4%, n = 1002). Overall, 3.1% of nodules biopsied were diagnostic of malignancy (n = 47). The number of USFNAs over the years showed a rapid increase initially, with a coronavirus disease 2019‐related decrease in 2020.CONCLUSIONSThe authors report their experience with thyroid USFNA over nearly a decade. The most common diagnosis was benign and the second most common was Bethesda category III. Lesions that were diagnostic of malignancy were relatively uncommon. Over the study period, the results showed that at a large tertiary care center in which USFNAs were performed by trainees as well as attending physicians, the diagnostic yield was good with a majority of thyroid nodules biopsied associated with a definitive diagnosis.;
CoFe‐P/Ti3C2Tx Nanosheets as Efficient Electrocatalyst for the Oxygen Evolution Reaction
Authors: Xia Minglong , Yang Mengjie , Guo Yuchao , Sun Xi , Wang Shuo , Feng Yi , Ding Huili 
Published: April 2022

AbstractOxygen evolution reaction (OER) is a crucial step in many sustainable energy technologies. Exploring cost‐effetive electrocatalysts with high efficiency is one of the most critical but challenging problems to overcome the slow reaction rate and high overpotential in OER. Layered double hydroxide (LDH) has excellent OER performance. However, their poor electrical conductivity and easy agglomeration limit their use. Currently, further phosphorizaton or incorporating with conductive substrates is an effective method to improve the OER performance. In this study, a hybrid product denoted as CoFe−P/Ti3C2Tx were successfully prepared by facile reflux hydrothermal and phosphorization. The optimized CoFe−P/Ti3C2Tx possesses a low overpotential of 270 mV at a current density of 10 mA cm−2 and a small Tafel slope (57.7 mV dec−1). In addition, an overpotential of 337 mV was needed for affording 50 mA cm−2 in the 1 M KOH.
Applying stochastic network calculus to logical link control layer in underwater wireless communication: Underwater fish farming perspective
Authors: M Saravanan , Sukumaran Rajeev 
Published: April 2022

AbstractIn recent days, research in underwater fish farming has been seen as a sustainable method to land‐based fish farming due to the increasing global population and limitations in land‐based farming areas worldwide.The fish farming cage installations are usually operated in the depth area of seawater and are ideal circumstances for fish farming. Monitoring sensor‐based data collection from fish farming is highly efficient and more innovative. Due to the unique properties of seawater, the substantial challenge of an Underwater Wireless Sensor Network (UWSN) is guaranteeing reliable data communication between the underwater sensor nodes and surface nodes. To ensure reliable communication, the mathematical approach Stochastic Network Calculus (SNC) is considered for modeling the reliable data flow control in the logical link control layer to satisfy the requirements of the underwater fish farming application. This paper presents the SNC mathematical model construction of stochastic bounds for frame flow, window size, service element analysis, feedback loop analysis, delay, and backlog bounds derived in the proposed model. The proposed model produces the better frame delivery and throughput in an incremental order with respect to the simulation model. There is significant difference (4 to 12 percentage) between the stochastic and simulation model. Thus, the reliable frame flow can be adopted with the dynamic changes in the feedback loop to avoid the overflow by repeated requests.
Assessment of ecosystem services knowledge, attitudes, and practices of coffee farmers using legume cover crops
Authors: Ndiritu J. M. , Kinama J. M. , Muthama J. N. 
Published: April 2022

AbstractThe objective of our study was to find out the level of adoption of desmodium legume fodder cover crops in coffee cultivation, which is associated with enhancing ecosystem services in coffee cultivation and providing fodder production for livestock. This was evaluated using a structured face to face questionnaire with a sample of 97 farmers on knowledge, attitude and practices, which was conducted in Gewa ward, Githuguri Constituency in Kiambu County by replicating similar conditions of Arabica coffee growing areas in the tropics, where most farmers practice mixed farming. A linear regression model was used to evaluate the relationship between commercial feeds and milk production. The results indicated a significant contribution of close to 70% implying that commercial feed contribution to milk production, which was estimated to be US$ 0.2 (KSh 19) per liter of milk produced, was indicative of the impact of the lack of adequate fodder. Despite the possibility of using the desmodium legume fodder production as a coffee cover crop, the attitude varied, and there is still a significant reliance on commercial feeds for the success in milk production. Farmers generally intercrop coffee with various annual crops with a notable lack of knowledge on complementarity and related ecosystem services of desmodium as cover crops. The coffee and livestock farmers reported that weather variability exacerbates feed scarcity, increasing dependence on commercial livestock feed purchases. Milk production, being a major economic focus in many coffee areas, is mainly supported by the purchase of commercial feeds, whose volume increases when rainfall is inadequate or delayed. Our findings indicate that the adoption of legume fodder cover crops in coffee cultivation would reduce farmers' reliance on commercial feeds and increase incomes, while benefiting from ecosystem services, when adopting sustainable agricultural intensification with changing climate remaining a major concern thereby increasing their resilience.
Tree communities in Baltimore differ by land use type, but change little over time
Authors: Jiang Shasha , Sonti Nancy F. , Avolio Meghan L. 
Published: April 2022

AbstractAcross a city, tree communities are spatially heterogenous and vary by land use type. However, it remains unclear how urban tree communities change over time and whether rates of change depend on land use type. To address this knowledge gap, we analyzed urban tree composition using long‐term plot data to examine tree diversity changes across six different urban land use types in 1999, 2004, 2009, and 2014. We found that spatial differences in tree species diversity and community composition among land uses were much greater than changes over time. Number of trees increased over time, being driven by gains of non‐native species. There was also a significant interaction between land use and time, with institutional and transportation land uses having greater community changes over time. Our study can inform site‐specific efforts to promote and preserve urban biodiversity across public and private land uses.
Prediction and analysis of natural gas consumption in chongqing with a grey prediction model group in the context of COVID‐19
Authors: Zeng Bo , Yang Shuangyi , Mao Cuiwei , Zhang Dehai 
Published: April 2022

AbstractIn this paper, a grey prediction model group is employed to quantitatively study the impact of COVID‐19 on natural gas consumption in Chongqing, China. First, a grey prediction model group suitable for the prediction of Chongqing's natural gas consumption is introduced, which consists of GM(1,1), TWGM(1,1), and the newly‐developed ODGM(1,1). Then, the model group is constructed to predict Chongqing's natural gas consumption in 2020. Finally, compare the predicted results of the model group with the actual consumption and quantitatively analyze the impact of the epidemic on natural gas in Chongqing. It is found that the impact of the epidemic on the consumption of natural gas in the first quarter of the year is very small, but relatively bigger in the second and third quarters. The study is of positive significance to maintain the supply and demand balance of natural gas consumption in Chongqing in the background of COVID‐19; and it enriches and develops the theoretical system of grey prediction models.
Novel fluorescent GLUT1 inhibitor for precision detection and fluorescence image‐guided surgery in oral squamous cell carcinoma
Authors: Tian Yu , Tang Chu , Shi Guangyuan , Wang Guorong , Du Yang , Tian Jie , Zhang Haizhong 
Published: April 2022

AbstractEarly detection and complete resection of oral squamous cell carcinoma (OSCC) are crucial to improving patient survival and prognosis. However, specifically targeted imaging probes for OSCC detection are limited. Our study aimed to synthesize a novel near‐infrared fluorescence (NIRF) probe for precision detection and fluorescence image‐guided surgery in OSCC. Bioinformatics data indicated that glucose transporter 1 (GLUT1) is highly expressed in patients with OSCC. We demonstrated high and specific GLUT1 expression upon immunohistochemical staining of samples from 20 patients with OSCC. The specific expression of GLUT1 was further validated in both human OSCC cell lines and OSCC tumor xenografts. Based on these findings, the GLUT1 inhibitor WZB117 was utilized to synthesize a novel NIRF imaging probe, WZB117‐IR820. The fluorescence molecular imaging data revealed that WZB117‐IR820 could specifically bind to the tumor areas in an orthotopic OSCC mouse model after intravenous injection and could be further applied for precision fluorescence image‐guided surgery with no residual tumor in the orthotopic CAL27‐fLUC mouse tumor model. For further clinical translational application in patients with OSCC, precise delineation of OSCC tumor areas was achieved after topical application of the WZB117‐IR820 imaging probe and was validated by histopathological and immunohistochemical analyses. In conclusion, we synthesized a novel fluorescent imaging probe, WZB117‐IR820, which has potential clinical applications for early detection and fluorescence image‐guided surgery in OSCC with no observable toxicity.
Agreement between visual inspection and objective analysis methods: A replication and extension
Authors: Taylor Tessa , Lanovaz Marc J. 
Published: April 2022

Behavior analysts typically rely on visual inspection of single‐case experimental designs to make treatment decisions. However, visual inspection is subjective, which has led to the development of supplemental objective methods such as the conservative dual‐criteria method. To replicate and extend a study conducted by Wolfe et al. (2018) on the topic, we examined agreement between the visual inspection of five raters, the conservative dual‐criteria method, and a machine‐learning algorithm (i.e., the support vector classifier) on 198 AB graphs extracted from clinical data. The results indicated that average agreement between the 3 methods was generally consistent. Mean interrater agreement was 84%, whereas raters agreed with the conservative dual‐criteria method and the support vector classifier on 84% and 85% of graphs, respectively. Our results indicate that both objective methods produce results consistent with visual inspection, which may support their future use.
A transparent transition? An investigation of firm disclosure regarding the expected impact of the new lease standard
Authors: Comiran Fernando H. , Franzen Laurel , Graham Carol M. 
Published: April 2022

AbstractThe Securities and Exchange Commission (SEC) requires firms to provide disclosures on the expected financial statement impact of newly issued accounting standards that have yet to be adopted. In this study, we explore the extent, nature, and timeliness of disclosures regarding the expected impact of the new lease standard in the transition period (2016–2018). We find that 62% of sample firms provide no firm‐specific disclosure regarding an expected increase in lease liabilities in the first year of the transition, which is unexpected given the clear balance sheet impact of the new lease standard. We investigate the determinants of timely disclosure and find a positive association with operating lease activity. Given concerns that firms will seek alternate vehicles for off‐balance‐sheet (OBS) financing under the new lease standard, we investigate changes in lease activity and disclosures for a sample of firms with extreme decreases in operating lease activity. We find a downward trend in operating lease activity around the passage of the new lease standard, but find few firms disclosing expected changes to their leasing activity. Our evidence suggests that information in early transition period disclosures, or lack thereof, may provide important signals for assessing lease liabilities and overall debt levels under the new lease standard.
Comparison of approximate intermolecular potentials for ab initio fragment calculations on medium sized N‐heterocycles
Authors: Barcza Bónis , Szirmai Ádám B. , Szántó Katalin J. , Tajti Attila , Szalay Péter G. 
Published: April 2022

AbstractThe ground state intermolecular potential of bimolecular complexes of N‐heterocycles is analyzed for the impact of individual terms in the interaction energy as provided by various, conceptually different theories. Novel combinations with several formulations of the electrostatic, Pauli repulsion, and dispersion contributions are tested at both short‐ and long‐distance sides of the potential energy surface, for various alignments of the pyrrole dimer as well as the cytosine–uracil complex. The integration of a DFT/CCSD density embedding scheme, with dispersion terms from the effective fragment potential (EFP) method is found to provide good agreement with a reference CCSD(T) potential overall; simultaneously, a quantum mechanics/molecular mechanics approach using CHELPG atomic point charges for the electrostatic interaction, augmented by EFP dispersion and Pauli repulsion, comes also close to the reference result. Both schemes have the advantage of not relying on predefined force fields; rather, the interaction parameters can be determined for the system under study, thus being excellent candidates for ab initio modeling.
LncRNA NEAT1 correlates with Th17 cells and proinflammatory cytokines, also reflects stenosis degree and cholesterol level in coronary heart disease patients
Authors: Zhu Lingjun , Lin Xiaoping , Chen Miaomiao 
Published: April 2022

AbstractBackgroundLong non‐coding RNA nuclear enriched abundant transcript 1 (lnc‐NEAT1) regulates endothelial cell functions, CD4+ T cell regulation and chronic inflammation related to coronary heart disease (CHD). Then this case‐control study measured lnc‐NEAT1 expression in CHD patients, aiming to explore its clinical value in CHD management.MethodsTotally, 120 documented CHD patients and 120 suspected subjects without CHD diagnosis as controls were enrolled. Plasma lnc‐NEAT1 was detected by RT‐qPCR in all participants, plasma inflammatory cytokines were assessed by ELISA, T helper (Th) 1, Th2, Th 17 cell proportions in CD4+ T cells were analyzed by flow cytometric analysis in CHD patients, respectively.ResultsLnc‐NEAT1 was higher in CHD patients than in controls (p < 0.001). In CHD patients, lnc‐NEAT1 positively associated with Gensini score (r = 0.323, p < 0.001). Besides, lnc‐NEAT1 positively correlated with tumor necrosis factor‐α (r = 0.271, p = 0.003), interleukin (IL)‐1β (r = 0.216, p = 0.018), IL‐6 (r = 0.217, p = 0.018) and IL‐17 (r = 0.292, p = 0.001); meanwhile, it was positively associated with the percentage of Th 17 cells (r = 0.384, p = 0.002). However, no correlation was found in lnc‐NEAT1 with the percentage of Th1 or Th2 cells (all p > 0.05). Moreover, lnc‐NEAT1 was correlated with higher hyperuricemia prevalence (p = 0.028), increased total cholesterol (r = 0.263, p = 0.004) and low‐density lipoprotein cholesterol (r = 0.261, p = 0.004), but was not associated with other characteristics (all p > 0.05).ConclusionLnc‐NEAT1 correlates with Th17 cells and proinflammatory cytokines, also reflects stenosis degree and cholesterol level in CHD patients, which potentially improves the management of CHD patients.