bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting major adverse cardiac events based on multi‐parameter coronary computed tomography angiography
Authors: Wang Jie , Zhou Lijuan , Chen Hongwei , Zeng Shangyu , Wu Qiuxiang , Fang Xiangming 
Published: March 2022

AbstractObjectiveTo build a nomogram model to improve the prediction of major adverse cardiac events (MACE) using multi‐parameter coronary computed tomography angiography (CCTA).MethodsAll patients underwent CCTA. Those who developed MACE 90 days later but within 2 years between January 2008 and December 2018 were retrospectively enrolled as MACE group, while those without MACE were 1:1 propensity score matched in the control group. CCTA stenosis, plaque qualitative–quantitative characteristics, and fractional flow reserve derived from computed tomography angiography (FFRct) were analyzed and compared between the two groups. The independent risk factors for predicting MACE were obtained through univariate and multivariate regression analysis, after which multi‐parameter models were built to predict MACE. Finally, the nomogram for predicting MACE was created using the independent risk factors from multivariate regression analysis.ResultsA total of 483 vessels in 260 patients were successfully analyzed. The combination of CCTA stenosis, plaque qualitative–quantitative characteristics, and FFRct (AUC = 0.922, P < 0.001) showed a higher predictive value compared to CCTA stenosis alone, FFRct alone, plaque qualitative–quantitative characteristics alone, CCTA stenosis combined with plaque qualitative–quantitative characteristics, and CCTA stenosis combined with FFRct (all P < 0.001). Independent risk factors were CCTA stenosis ≥50%, low attenuation plaque, positive remodeling, napkin ring sign, lipid plaque volume proportion, and FFRct. Subsequently, a nomogram was created using these independent risk factors.ConclusionsThe multi‐parameter CCTA model has improved performance in predicting MACE. Nomogram for predicting MACE, which includes these factors, represents a practical and easy‐to‐use method in the clinical setting.
Discrimination between raw and ginger juice processed Magnoliae officinalis cortex based on HPLC and Heracles NEO ultra‐fast gas phase electronic nose
Authors: Zhang Kewei , Wang Jing , Fan Xingchen , Zhu Guangfei , Lu Tulin , Xue Rong 
Published: March 2022

AbstractIntroductionMagnoliae officinalis cortex (MOC), a traditional Chinese medicine, has been used in treating gastrointestinal diseases since ancient time. According to the Chinese Pharmacopoeia, it includes two kinds of decoction pieces, raw and ginger juice processed Magnoliae officinalis cortex (RMOC and GMOC).ObjectiveThe aim of this paper was to study the differences between non‐volatile and volatile components in RMOC and GMOC.MethodsThe non‐volatile components were detected by HPLC fingerprinting coupled with content determination (syringin, magnoflorine, honokiol and magnolol). Meanwhile, their odor information was obtained using a Heracles NEO ultra‐fast gas phase electronic nose to conduct radar fingerprint analysis, principal component analysis and discriminant factor analysis, and the volatile components were analyzed qualitatively by the Kovats retention index and the AroChemBase database.ResultsThe HPLC fingerprints were established and 20 common peaks were found in all chromatograms with similarity values of more than 0.900. The content determination results showed that the contents of syringin and magnoflorine decreased, while the contents of honokiol and magnolol increased in GMOC. By the gas phase electronic nose, the two decoction pieces could be distinguished obviously and 16 possible compounds were identified. Among them, the relative contents of (−)‐α‐pinene and β‐pinene increased, while β‐phellandrene and (+)‐limonene levels decreased.ConclusionThe results suggested that honokiol, magnolol, (−)‐α‐pinene and β‐pinene might be the main substances which could enhance the harmonizing effect on the stomach. Moreover, this paper could lay a foundation for exploring the processing mechanism of MOC and provide a novel method for the research of other traditional Chinese medicine with strong aroma.
Hormonal contraception use before and after breast cancer diagnosis: A nationwide drug utilization study
Authors: Mørch Lina Steinrud , Friis Søren , Meaidi Amani , Dehlendorff Christian , Skovlund Charlotte Wessel , Duun‐Henriksen Anne Katrine 
Published: March 2022

AbstractPurposeTo describe the use of hormonal contraceptives in Danish breast cancer patients.MethodsNationwide drug utilization study in Danish women diagnosed with breast cancer at ages 13–50 years during 2000–2015. User proportions were estimated in 6‐months intervals from 2 years before to 2 years after diagnosis.ResultsUse of hormonal contraceptives declined sharply after breast cancer diagnosis. Still, 7% of patients aged 13–39 years filled hormonal contraceptive prescriptions within 6 months after the diagnosis.ConclusionsThe majority of premenopausal breast cancer patients discontinues hormonal contraception at diagnosis. All prescribers of hormonal contraceptives should acknowledge that hormonal contraception is contraindicated for breast cancer patients.Plain Language SummaryUse of hormonal contraception is contraindicated among women with breast cancer. In this nationwide study, we assessed the use of hormonal contraceptives among all Danish premenopausal women diagnosed with breast cancer during 2000–2015. Hormonal contraceptive use was assessed within 2 years before and 2 years after breast cancer diagnosis. The majority of patients discontinued hormonal contraception at breast cancer diagnosis. However, 7% of patients aged 13–39 years filled hormonal contraceptive prescriptions within 6 months after the diagnosis.
The making of “good” citizens: China's Social Credit Systems and infrastructures of social quantification
Authors: Liang Fan , Chen Yuchen 
Published: March 2022

AbstractThis article examines citizen scoring in China's Social Credit Systems (SCSs). Focusing on 50 municipal cases that potentially cover 210 million population, we analyze how state actors quantify social and economic life into measurable and comparable metrics and discuss the implications of SCSs through the lens of social quantification. Our results illustrate that the SCSs are envisioned and designed as social quantification practices including two facets: a normative apparatus encouraging “good” citizens and social morality, and a regulative apparatus disciplining “deviant” behaviors and enforcing social management. We argue that the SCSs illustrate the significant shift in which state actors increasingly become data processors whereas citizens are reconfigured as datafied subjects that can be measured, compared, and governed. We suggest that the SCSs function as infrastructures of social quantification for enforcing social management, constructing differences, and nudging people towards desired behaviors defined by the state.
Aerosol‐assisted open‐air plasma deposition of acrylate‐based composite coatings: Molecule release control through precursor selection
Authors: Morand Gabriel , Chevallier Pascale , Tatoulian Michael , Mantovani Diego 
Published: March 2022

AbstractAerosol‐assisted open‐air plasma allows the direct deposition of composite coatings with embedded bioactive agents. However, the deposition of biodegradable coatings for controlled drug release application remains challenging. In this study, an innovative precursor injection strategy is used to entrap tracers in coatings deposited from various acrylate‐based precursors: Acrylic acid (AA), methacrylic anhydride (MA), and 1,4‐butanediol diacrylate (BDDA). Water immersion tests show dramatically different release kinetics ranging from over minutes to weeks and months for AA, MA, and BDDA, respectively. These different behaviors are correlated to the crosslinking degree and the hydrolysis rates of the crosslinking functions. This original approach allows controlled release of tracers entrapped in biodegradable acrylate‐based coatings and provides new insights for drug‐release application.
Effect of rosemary leaf powder with weight loss diet on lipid profile, glycemic status, and liver enzymes in patients with nonalcoholic fatty liver disease: A randomized, double‐blind clinical trial
Authors: Akbari Shayan , Sohouli Mohammad Hassan , Ebrahimzadeh Saeedeh , Ghanaei Fariborz Mansour , Hosseini Agha Fatemeh , Aryaeian Naheed 
Published: March 2022

AbstractExperimental and some clinical studies have shown beneficial effects of rosemary leaf on liver function and biochemical parameters. The present study aimed to examine the impact of rosemary leaf powder with a weight loss diet in patients with nonalcoholic fatty liver disease. In a randomized double‐blinded clinical trial, 110 patients were randomly assigned to receive either 4 g rosemary leaf or placebo (starch) powders for 8 weeks. In addition, all participants in the study were given weight loss diet and physical activity recommendations. Compared with baseline, alanine aminotransferase (p < .001), aspartate aminotransferase (p < .001), alkaline phosphatase (p < .001), gamma glutamyltransferase (p < .001), fasting blood glucose (p < .001), fasting insulin (p < .001), insulin resistance (p < .001), total cholesterol (p = .003), triglyceride (p < .001), low‐density lipoprotein cholesterol (p < .001), and anthropometric indices (weight, body mass index, and waist circumferences) decreased significantly in the rosemary and placebo group with weight loss. However, after 8 weeks, no significant difference between the rosemary and placebo groups was detected in the variables as mentioned above except homeostasis model assessment of β‐cell dysfunction (p = .014). The findings of the current clinical trial study revealed that rosemary group did produce changes, but they were not statistically different from those produced by the diet/activity intervention alone.
Observing severe precipitation near complex topography during the Yilan Experiment of Severe Rainfall in 2020 (YESR2020)
Authors: Su Shih‐Hao , Chang Yu‐Hung , Liu Ching‐Hwang , Chen Wei‐Ting , Chang Wei‐Yu , Chen Jen‐Ping , Chen Wei‐Nai , Chung Kao‐Sheng , Hou Jou‐Ping , Hsieh Min‐Ken , Jang Yi‐Shin , Kuo Hung‐Chi , Lee Yu‐Chi , Lin Pay‐Liam , Lin Ping‐Yu , Lin Po‐Hsiung , Lo Min‐Hui , Wang Sheng‐Hsiang , Wu Chien‐Ming , Yang Jing‐Hwa , Yang Ming‐Jen 
Published: March 2022

AbstractThis study introduces a recent field experiment investigating multiscale terrain–circulation–precipitation interactions. When a synoptic‐scale northeasterly wind prevails under the active East Asian winter monsoon, stratocumulus cloud decks with severe rainfall exceeding 100 mm·day−1 frequently occur in the northeastern plain area and adjacent mountains in Yilan, Taiwan. The Yilan Experiment of Severe Rainfall (YESR2020) is a field campaign from November 20, 2020, to November 24, 2020, to survey the physical processes leading to severe wintertime rainfall. The three‐dimensional structure of the wind field and the atmospheric environment can be identified through high temporal and spatial resolution sounding observations, which is empowered by the novel Storm Tracker mini‐radiosonde. During YESR2020, the continuously collected meteorological data of two northeasterly episodes captured the variability of local‐scale wind patterns and the features of the severe rainfall induced by stratocumulus. A preliminary analysis indicated that a local‐scale convergence line could appear over the plain area of Yilan under the northeasterly environmental condition. The precipitation hotspot was located in the mountain region of southern Yilan, where the local winds signified turbulence features. Moreover, the severe rainfall of the two northeasterly episodes spotlighted shallow cumulus under stratus with pure warm rain processes. The results of YESR2020 inspire the arrangement of future field observations to explore detailed mechanisms of heavily precipitating stratocumulus over complex topography.
Row‐sensing templates: A generic 3D sensor‐based approach to robot localization with respect to orchard row centerlines
Authors: Fei Zhenghao , Vougioukas Stavros 
Published: March 2022

AbstractAccurate robot localization relative to orchard row centerlines is essential for autonomous guidance where satellite signals are often obstructed by foliage. Existing sensor‐based approaches rely on variousfeaturesextracted from images and point clouds. However, any selected features are not available consistently, because the visual and geometrical characteristics of orchard rows change drastically when tree types, growth stages, canopy management practices, seasons, and weather conditions change. In this study, we introduce a novel localization method that does not rely on features; instead, it relies on the concept of arow‐sensing template, which is the expected observation of a 3D sensor traveling in an orchard row, when the sensor is anywhere on the centerline and perfectly aligned with it. First, the template is built using a few measurements, provided that the sensor's true pose with respect to the centerline is available. Then, during navigation, the best pose estimate (and its confidence) is estimated by maximizing the match between the template and the sensed point cloud using particle‐filtering. The method can adapt to various orchards and conditions by rebuilding the template. Experiments were performed in a vineyard, and in an orchard in different seasons. Results showed that the lateral mean absolute error (MAE) was less than 3.6% of the row width, and the heading MAE was less than 1.72°. Localization was robust, as errors did not increase when less than 75% of measurement points were missing. The results indicate that template‐based localization can provide a generic approach for accurate and robust localization in real‐world orchards.
Sample size calculation for the augmented logrank test in randomized clinical trials
Authors: Hattori Satoshi , Komukai Sho , Friede Tim 
Published: March 2022

AbstractIn randomized clinical trials, incorporating baseline covariates can improve the power in hypothesis testing for treatment effects. For survival endpoints, the Cox proportional hazards model with baseline covariates as explanatory variables can improve the standard logrank test in power. Although this has long been recognized, this adjustment is not commonly used as the primary analysis and instead the logrank test followed by the estimation of the hazard ratio between treatment groups is often used. By projecting the score function for the Cox proportional hazards model onto a space of covariates, the logrank test can be more powerful. We derive a power formula for this augmented logrank test under the same setting as the widely used power formula for the logrank test and propose a simple strategy for sizing randomized clinical trials utilizing historical data of the control treatment. Through numerical studies, the proposed procedure was found to have the potential to reduce the sample size substantially as compared to the standard logrank test. A concern to utilize historical data is that those might not reflect well the data structure of the study to design and then the sample size calculated might not be accurate. Since our power formula is applicable to datasets pooled across the treatment arms, the validity of the power calculation at the design stage can be checked in blind reviews.
Biocompatible Coating on Micro‐structured Titanium Implants with Enhanced Osteogenesis to Facilitate Bone‐implant Integration
Authors: Wu Jiannan , Yang Jing , Wang Yanying , Wang Yanduo , Yu Haiyang , Han Jing , Zhang Jian 
Published: March 2022

AbstractTitanium (Ti) implants are bioinert materials. The surface modification of a Ti implant can endow it with biological activity and promote its osteosynthesis. In this study, the improvement of the biocompatibility of Ti substrates mainly originates from polydopamine (PDA) coating technology, which combines the BMP‐2 polypeptide (P24) and a gelatin film on the substrate surface. The results showed that the P24 polypeptide and gelatin film coating endowed the Ti substrate with enhanced hydrophilicity. The modified surface favored cell adhesion and spreading compared with the pure Ti substrate, and significantly improved cell proliferation and osteogenic differentiation of bone marrow stem cells (BMSCs) in vitro. Furthermore, the modification significantly accelerated osseointegration and osteogenesis in vivo when the Ti rod was inserted into rat femurs. Thus, the P24 polypeptide and gelatin film modification on titanium implant surface has potential applications to achieve rapid bone‐implant integration.
Effect of Europium, Yttrium and Lutetium Doping on the Photocatalytic Property of CeO2 Nanoparticles in the Reduction of p‐nitrophenol under Visible Light
Authors: Keerthana Madhusuthanan , Pushpa Malini Thanikachallam , Sangavi Ravi , Arockia Selvi John Peter , Arthanareeswari Maruthapillai 
Published: March 2022

AbstractThe current study focuses on the photocatalytic reduction of p‐nitrophenol using Europium, Yttrium and Lutetium doped Cerium oxide (CeO2) nanoparticles which were synthesized via chemical precipitation method. The synthesized nanoparticles were subjected to characterization using different analytical tools to confirm the formation of nanoparticles. They were characterized using X‐Ray diffraction (XRD) studies, Fourier Transform‐Infrared spectroscopy (FT‐IR), High resolution Scanning electron microscopy (HRSEM), High resolution Transmission electron microscopy (HRTEM), Energy dispersive X‐ray analysis (EDAX), X‐ray photoelectron spectroscopy (XPS), and UV‐Diffuse reflectance spectroscopy (UV‐DRS) studies. The synthesized rare earth nanomaterials were successfully applied for the photoreduction of the organic pollutant p‐nitrophenol with the addition of NaBH4 as reducing agent using 300 W Xenon lamp. The addition of the synthesized photocatalyst enhanced the reduction ability of NaBH4 in reducing p‐nitrophenol to p‐aminophenol. The results confirmed the superior photocatalytic activity of Lu0.05CeO2 compared to the other rare earth doped photocatalysts. The time taken by Lu0.05CeO2 photocatalyst for the complete reduction of p‐nitrophenol was 45 min and was found to be 96 % efficient in the reduction of 0.5 mM p‐nitrophenol to p‐aminophenol compared to the other photocatalysts.
Recent Advances in Electrochemical Synthesis of Nitriles: A Sustainable Approach
Authors: Rodrigues Roopa Margaret , Thadathil Ditto Abraham , Ponmudi Keerthana , George Ashlay , Varghese Anitha 
Published: March 2022

AbstractNitriles unveil widespread applications in pharmaceuticals, agrochemicals, textiles, rubber, polymers, and constitute a significant intermediate in several organic transformations, necessitating the design of simple and environmentally benign pathways for their synthesis. Over the recent years, electro‐organic reactions have found widespread attention in developing effective and selective organic synthesis. They possess several advantages: high atom economy, selectivity, minimal waste production, and shorter routes to multistep traditional organic reactions. The development of novel strategies for greener and sustainable electro‐organic synthesis of nitriles is therefore commendable. This review focuses on analyzing various methods and strategies used in the electrochemical synthesis of nitriles using phase transfer catalyst, N‐oxoammonium salts mediated electrocatalysis, iodine‐mediated electrocatalysis, and anodic oxidations of aldoximes. In addition, the recent trends including the synthesis of nitriles via C−H cyanation, domino oxidation, bio electrocatalysis, and metal‐ligand cooperative synthesis have been discussed.
Time‐ and Excitation Wavelength‐ Dependent Afterglow Supramolecular Assembly for Multi‐Modal Anti‐Counterfeiting Application
Authors: Zhang Shenjie , Li Peng , Li Huanrong 
Published: March 2022

AbstractColor‐tunable smart afterglow materials in response to excitation wavelength and time simultaneously is highly important for anticounterfeiting and data encryption application, which remains a great challenge to date. Here, we provide a simple and efficient approach to develop color‐tunable afterglow supramolecular assembly AxBy@Lap in response to excitation wavelength and time simultaneously through the co‐assembly of non‐emissive nanoclay (Lap) and two different kinds of guests (A: Terephthalic acid (TPA), B: Terpyridine‐derivatives) using a simple solventless grinding method. Experimental and theoretical researches clear that the different decay lifetimes and origin for multiple afterglow emission centers bring about the aforementioned distinctive excitation wavelength‐ and time‐dependent feature. Furthermore, AxBy@Lap reveal excellent color‐tunable afterglow behavior with excitation wavelength‐ and time‐dependent feature in aqueous solution with water content of 99 wt %. Benefiting from this excellent characteristics, multi‐modal anti‐counterfeiting and encryption application were exhibited.
A BODIPY‐Diaminomaleonitrile Based Water‐Soluble Fluorescent Probe for Selective “Off‐On” Detection of Hypochlorite**
Authors: Leng Junqiang , Nie Wen , Yuan Linying , Liu Shuang , Liu Tianxin , Cheng Jianbo , Liu Zhenbo 
Published: March 2022

AbstractA fluorescent probe (BODIPY‐DAMN) with high selectivity and sensitivity for the detection of hypochlorite (ClO−) was designed and synthesized. The probe uses boron‐dipyrromethene (BODIPY) as fluorophore, carboxyl group modification to improve its water solubility, and diaminomaleonitrile (DAMN) as recognition group to recognize ClO−. BODIPY‐DAMN exhibits an “off‐on” fluorescence response towards ClO−. In the range of 10.0 to 250.0 μM, there is a good linear relationship between the emission intensity and HClO concentration, and the detection limit is 298 nM. Hypochlorite in actual water samples was determined with recovery of 89.5 % and 112.0 %. In addition, BODIPY‐DAMN has low cytotoxicity, and has been used to determine endogenous ClO− in mouse melanoma cells (B16‐F10), human neuroblastoma cells (SH‐SY5Y) and zebrafish. The results of this study provide a new strategy for further research on the physiological and pathological effects of hypochlorite.
Do Alliance portfolios encourage or impede new business practice adoption? Theory and evidence from the private equity industry
Authors: Sen Prothit , Puranam Phanish 
Published: March 2022

AbstractResearch SummaryWe show that the existing alliance portfolio of a firm can impede the adoption of a new business practice. We analyze the private equity industry which features alliances in the form of deal syndication and has recently seen the rise of a novel investment practice: add‐on deals. Using algorithm‐supported induction, we first document robust empirical patterns using machine learning techniques, and then test the theory we construct to explain these patterns using standard econometric methods in a hold‐out sample. We find that when the capabilities required for the new business practice require new partners, existing alliance portfolio members who support current practices can impede access to these new partners (and hence the adoption of the new business practice) through capacity constraints and inter‐partner rivalry.Managerial SummaryAlliance partners play a valuable role in many industries, and particularly in the PE industry as syndication partners. While the benefits of working with such partners are well understood, we uncover a potential weakness that alliance portfolio managers should be aware of. If a new business practice relies substantially on a new type of alliance partner, the existing alliance portfolio may impede access to this partner, thus impeding the adoption of the new practice. For PE fund managers, in particular, this implies balancing their deal syndication strategy with the development of new relationships with corporate partners to adopt add‐on models to complement the traditional LBOs. We also show how to use machine learning techniques to uncover patterns of strategic interest in past transaction data.