bluuebunny/crossref_metadata_2025_split huggingface dataset:
An investigation on an absorber working through piezoelectric conversion mechanism
Authors: Zhang Jiankun , Xie Xiangdong , Zhang Jinfeng , Li Zhen , Du Xiaozhen 
Published: December 2021

AbstractA novel absorber, which is equivalent to a spring and a damper, is developed and the corresponding equivalent formulae of stiffness coefficient and damping coefficient are derived. The key component of the absorber is the circular array of multi‐section U‐shaped piezoelectric coupled beams (MUPCBs) which can alleviate harmful vibration of various devices by converting the vibration energy into electrical energy. As an example, the absorber is used in a quarter vehicle suspension system, and its properties of energy harvesting and vibration attenuation are studied using the computational model of dual‐mass iteration method. The dual‐mass model includes two sprung masses (body mass and wheel mass) which are linked by the absorber. The effects of some important factors, such as the piezoelectric coupling section (PCS) length, the PCS substrate thickness, the force arm length of the MUPCB, the speed of vehicle and the class of road surface on the root mean square (RMS) of the output power, are discussed. The research results show that half of the amplitude of the harmful vibration can be attenuated and a power up to 254.3 W can be realized by the absorber made of MUPCBs in the quarter vehicle suspension computational case. This research provides a feasible piezoelectric absorber suitable for various devices by transferring the vibration energy into electricity to attenuate the harmful vibration and achieve the energy recycling application.
Multistep forecast of the implied volatility surface using deep learning
Authors: Medvedev Nikita , Wang Zhiguang 
Published: December 2021

AbstractModeling implied volatility surface (IVS) is of paramount importance to price and hedge an option. We contribute to the literature by modeling the entire IVS using convolutional long‐short‐term memory (ConvLSTM) and long‐short‐term memory (LSTM) neural networks to produce multivariate and multistep forecasts of the S&P 500 IVS. Using daily SPX options data (2002–2019), we find that both LSTM and ConvLSTM fit the training data extremely well with mean absolute percentage error (MAPE) being 3.56% and 3.88%, respectively. The ConvLSTM (8.26% MAPE) model significantly outperforms LSTM and traditional time series models in predicting the IVS out of sample.
Outlier detection in multimodal MRI identifies rare individual phenotypes among more than 15,000 brains
Authors: Ma Zhiwei , Reich Daniel S. , Dembling Sarah , Duyn Jeff H. , Koretsky Alan P. 
Published: December 2021

AbstractOutliers in neuroimaging represent spurious data or the data of unusual phenotypes that deserve special attention such as clinical follow‐up. Outliers have usually been detected in a supervised or semi‐supervised manner for labeled neuroimaging cohorts. There has been much less work using unsupervised outlier detection on large unlabeled cohorts like the UK Biobank brain imaging dataset. Given its large sample size, rare imaging phenotypes within this unique cohort are of interest, as they are often clinically relevant and could be informative for discovering new processes. Here, we developed a two‐level outlier detection and screening methodology to characterize individual outliers from the multimodal MRI dataset of more than 15,000 UK Biobank subjects. In primary screening, using brain ventricles, white matter, cortical thickness, and functional connectivity‐based imaging phenotypes, every subject was parameterized with an outlier score per imaging phenotype. Outlier scores of these imaging phenotypes had good‐to‐excellent test–retest reliability, with the exception of resting‐state functional connectivity (RSFC). Due to the low reliability of RSFC outlier scores, RSFC outliers were excluded from further individual‐level outlier screening. In secondary screening, the extreme outliers (1,026 subjects) were examined individually, and those arising from data collection/processing errors were eliminated. A representative subgroup of 120 subjects from the remaining non‐artifactual outliers were radiologically reviewed, and radiological findings were identified in 97.5% of them. This study establishes an unsupervised framework for investigating rare individual imaging phenotypes within a large neuroimaging cohort.
Understanding basal cell adenocarcinoma of the head and neck: Population‐based study
Authors: Ahsanuddin Salma , Jin Ryan , Sheorey Lena , Sawhney Rohan , Sangal Neel R. , Baredes Soly , Park Richard Chan Woo 
Published: December 2021

AbstractBackgroundUsing a population‐based database, this study investigates the risk factors, epidemiology, and outcomes of basal cell adenocarcinoma (BCAC) of the head and neck.MethodsThe Surveillance, Epidemiology, and End Results database was analyzed for all patients with BCAC of the head and neck from 1973 to 2015.ResultsThree hundred and twenty‐two cases of BCAC of the head and neck were identified. Mean age of diagnosis was 64.1 years. 52.5% were male and 77.3% were white. The most common primary site was the parotid gland (71.7%). Most patients underwent surgery alone (51.9%). Five‐year disease‐specific survival (5Y‐DSS) was 95.6%, and 10Y‐DSS was 90.3%. Highest survival was seen with surgery alone followed by combined surgery and radiation (10Y‐DSS: 93.9% vs. 88.9%, p = 0.001). Age, primary site, T‐classification, grade, and treatment type significantly affected survival.ConclusionsBCAC of the head and neck presents most frequently in the parotid glands. Surgery alone is associated with highest survival.
Comparison of adverse drug reactions between tamoxifen and toremifene in breast cancer patients with different CYP2D6 genotypes: A propensity‐score matched cohort study
Authors: Zhou Weihang , Jiang Yiwei , Xu Yaqian , Wang Yaohui , Ma Xiaowei , Zhou Liheng , Lin Yanping , Wang Yan , Wu Ziping , Li Min , Yin Wenjin , Lu Jinsong 
Published: December 2021

AbstractCYP2D6 gene polymorphism has a profound impact upon the effect of tamoxifen as adjuvant endocrine therapy in breast cancer. However, it had never been reported whether the adverse drug reactions vary by CYP2D6 metabolic status for patients treated with tamoxifen or toremifene. We conducted a retrospective study in breast cancer patients to investigate the impact of CYP2D6 metabolic status on liver dysfunction events, gynecological events and dyslipidemia events. According to CYP2D6*10 (100C → T) genotype, the enrolled patients were further categorized into four cohorts (extensive metabolizers taking tamoxifen [EM + TAM], extensive metabolizers taking toremifene [EM + TOR], intermediate metabolizers taking tamoxifen [IM + TAM], and intermediate metabolizers taking toremifene [IM + TOR]). A total of 192 patients were included in the study, with a median follow‐up time of 26.2 months. In EM + TAM cohort, the risks of liver dysfunction events (P = .004) and gynecological events (P = .004) were significantly higher compared to EM + TOR cohort. In IM + TAM cohort, the risks of liver dysfunction events (P = .14) and gynecological events (P = .99) were not significantly different from IM + TOR cohort. A significant decrease of total cholesterol was observed in EM + TAM cohort around 1 year after taking tamoxifen (P < .001). Significant interactions between CYP2D6 metabolic status and endocrine agents were observed in terms of liver dysfunction events (P‐interaction = .007) and gynecological events (P‐interaction = .026). These findings suggested that CYP2D6 gene polymorphism played a significant role in predicting liver dysfunction, gynecological diseases and lipid metabolism changes among patients taking tamoxifen or toremifene.
Depression, anxiety, quality of life and coping in women with infertility: A cross‐sectional study from India
Authors: Dadhwal Vatsla , Choudhary Vandana , Perumal Vanamail , Bhattacharya Debabani 
Published: December 2021

AbstractObjectiveThe purpose of the present study was to assess the prevalence of depression and anxiety in women with infertility, elucidate the psycho‐social factors affecting infertile women, identify the commonly employed coping strategies, and evaluate their self‐esteem and quality of life.MethodsA total of 150 women with infertility, from a tertiary care hospital, participated in this study. Cross‐sectional assessment was performed by using the Hamilton Depression Rating Scale and Hamilton Anxiety Rating Scale, Rosenberg Self‐Esteem Scale, WHO‐Quality of life‐BREF, and Brief‐COPE Inventory.ResultsOverall, 58% (87/150) of women reported depression on HDRS, 24% (36/150) reported anxiety on HAM‐A, and 24% (36/150) had both depression and anxiety on HDRS and HAM‐A. Comparative analysis of women reporting depression and anxiety indicated that they were subjected to significant discrimination, received lower social acceptance, had financial problems, higher depression and anxiety, poorer quality of life, and employed maladaptive coping. Living in a joint family, and using maladaptive coping were significant risk factors for anxiety and depression. Conversely, the family's ability to provide support, share problems, and assist with decision‐making, along with receiving support from their spouses, were chief protective factors.ConclusionWomen with infertility experience depression, anxiety, poor quality of life, and employ maladaptive coping. Supportive relationships with one's family and spouse are chief protective factors.
Analytical performance evaluation of different test systems on serum creatinine assay
Authors: He Lina , Yu Jinqi , Han Guang , Huang Di , Han Liqiao , Zhang Qiaoxuan , Wang Yunxiu , Wan Zemin , Huang Xian‐Zhang , Xiong Yujuan , Wu Xiaobin 
Published: December 2021

AbstractBackgroundSerum creatinine (SCr) is a useful diagnostic marker for the assessment of renal function. Accurate quantitation of SCr is clinically important in calculation of glomerular filtration rate (GFR).MethodTo confirm whether there are differences in SCr between enzymatic kits of different manufacturers, the analytical performance of the matched and open test system in the measurement of SCr was evaluated. The analytical performance evaluation was conducted according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. Precision, accuracy, linearity, dilution, lower limit of measurement and analytical interference were studied between the two test systems.ResultsThe performance of SCr from the open test system was in compliance with the matched test system with good precision, accuracy, and linearity. In presence of most common interferents, both test systems could lead to accurate creatinine results except for the existence of specified drugs. For dobutamine, the open test system showed better anti‐interference performance than the matched system.ConclusionThis study provides referable opinions for clinical laboratory selection on the test system and a framework for future analogous studies based on different test systems.
von Willebrand factor D and EGF domains regulate ameloblast differentiation and enamel formation
Authors: Iwata Kokoro , Kawarabayashi Keita , Yoshizaki Keigo , Tian Tian , Saito Kan , Sugimoto Asuna , Kurogoushi Rika , Yamada Aya , Yamamoto Akihito , Kudo Yasuei , Ishimaru Naozumi , Fukumoto Satoshi , Iwamoto Tsutomu 
Published: December 2021

AbstractCell‐ and tissue‐specific extracellular matrix (ECM) composition plays an important role in organ development, including teeth, by regulating cell behaviors, such as cell proliferation and differentiation. Here, we demonstrate for the first time that von Willebrand factor D and epidermal growth factor (EGF) domains (Vwde), a previously uncharacterized ECM protein, is specifically expressed in teeth and regulates cell proliferation and differentiation in inner enamel epithelial cells (IEEs) and enamel formation. We identified the Vwde as a novel ECM protein through bioinformatics using the NCBI expressed sequence tag database for mice. Vwde complementary DNA encodes 1773 amino acids containing a signal peptide, a von Willebrand factor type D domain, and tandem calcium‐binding EGF‐like domains. Real‐time polymerase chain reaction demonstrated that Vwde is highly expressed in tooth tissue but not in other tissues including the brain, lung, heart, liver, kidney, and bone. In situ hybridization revealed that the IEEs expressed Vwde messenger RNA in developing teeth. Immunostaining showed that VWDE was localized at the proximal and the distal ends of the pericellular regions of the IEEs. Vwde was induced during the differentiation of mouse dental epithelium‐derived M3H1 cells. Vwde‐transfected M3H1 cells secreted VWDE protein into the culture medium and inhibited cell proliferation, whereas ameloblastic differentiation was promoted. Furthermore, Vwde increased the phosphorylation of extracellular signal‐regulated kinase 1/2 and protein kinase B and strongly induced the expression of the intercellular junction protein, N‐cadherin (Ncad). Interestingly, the suppression of endogenous Vwde inhibited the expression of Ncad. Finally, we created Vwde‐knockout mice using the CRISPR‐Cas9 system. Vwde‐null mice showed low mineral density, rough surface, and cracks in the enamel, indicating the enamel hypoplasia phenotype. Our findings suggest that Vwde assembling the matrix underneath the IEEs is essential for Ncad expression and enamel formation.
Clinical and Pharmacological Parameters Determine Relapse During Clopidogrel Treatment of Acute Coronary Syndrome
Authors: Santana‐Mateos Marta , Medina‐Gil José M. , Saavedra‐Santana Pedro , Martínez‐Quintana Efrén , Rodríguez‐González Fayna , Tugores Antonio 
Published: December 2021

AbstractThe therapeutic efficacy of clopidogrel as an antiplatelet drug varies among individuals, being the mainstream hypothesis that its bioavailability depends on the individual genetic background and/or interactions with other drugs. A total of 477 patients receiving double antiaggregation therapy with aspirin and clopidogrel, after suffering a first event, were followed for 1 year to record relapse, as a surrogate end point to measure their therapeutic response, as defined by presenting with an acute coronary event (unstable angina, ST‐segment–elevation myocardial infarction, or non–ST‐segment–elevation myocardial infarction), stent thrombosis/restenosis, or cardiac mortality. Anthropometric, clinical, and pharmacological variables along with CYP2C19 genotypes were analyzed for their association with the disease relapse phenotype. Only 75 patients (15%) suffered a relapse, which occurred during the first 6 months of therapy, with a peak at 4.5 months. An initial univariate analysis identified that patients in the relapse group were significantly older (67.4 ± 11.0 vs 61.6 ± 12.3 years old) and presented with diffuse coronary disease, insulin‐dependent type 2 diabetes mellitus dyslipidemia, and arterial hypertension. A poor clinical response to the platelet antiaggregation regime also occurred more frequently among patients taking acenocoumarol and calcium channel blockers, along with aspirin and clopidogrel, while no association was found according to CYP2C19 genotypes. A retrospective multivariate analysis indicated that patients belonging to the nonresponder phenotype to treatment with aspirin and clopidogrel were older, presented with diffuse coronary disease, a group largely overlapping with type 2 insulin‐dependent diabetes mellitus, and were taking dihidropyrimidinic calcium channel blockers.
Heterogeneity in the Identification of Potential Drug‐Drug Interactions in the Intensive Care Unit: A Systematic Review, Critical Appraisal, and Reporting Recommendations
Authors: Bakker Tinka , Dongelmans Dave A. , Nabovati Ehsan , Eslami Saeid , de Keizer Nicolette F. , Abu‐Hanna Ameen , Klopotowska Joanna E. 
Published: December 2021

AbstractPatients admitted to the intensive care unit (ICU) are frequently exposed to potential drug‐drug interactions (pDDIs). However, reported frequencies of pDDIs in the ICU vary widely between studies. This can be partly explained by significant variation in their methodological approach. Insight into methodological choices affecting pDDI frequency would allow for improved comparison and synthesis of reported pDDI frequencies. This study aimed to evaluate the association between methodological choices and pDDI frequency and formulate reporting recommendations for pDDI frequency studies in the ICU. The MEDLINE database was searched to identify papers reporting pDDI frequency in ICU patients. For each paper, the pDDI frequency and methodological choices such as pDDI definition and pDDI knowledge base were extracted, and the risk of bias was assessed. Each paper was categorized as reporting a low, medium, or high pDDI frequency. We sought associations between methodological choices and pDDI frequency group. Based on this comparison, reporting recommendations were formulated. Analysis of methodological choices showed significant heterogeneity between studies, and 65% of the studies had a medium to high risk of bias. High risk of bias, small sample size, and use of drug prescriptions instead of administrations were related to a higher pDDI frequency. The findings of this review may support researchers in designing a reliable methodology assessing pDDI frequency in ICU patients. The reporting recommendations may contribute to standardization, comparison, and synthesis of pDDI frequency studies, ultimately improving knowledge about pDDIs in and outside the ICU setting.
Optimizing accuracy of measurement protocols for nitrogen application in dilute dairy manure
Authors: Miller Christine Mary Francis , Clark Nicholas E. , Meyer Deanne 
Published: December 2021

AbstractVariability of dairy process wastewater (PWW) nitrogen (PWW‐N) content makes precise fertilizing of forage challenging. Our objective was to improve measurement accuracy of PWW‐N. We characterized PWW‐N and quantified its variability using over 1,000 PWW samples from 91 lagoons on commercial California dairies. We used statistical modeling and stochastic simulations to compare the accuracy of various protocols for measuring PWW‐N applied to forage crops. Electrical conductivity (EC) was positively correlated with N concentration within a lagoon (conditional R2 = .69, mixed model). Simulations compared the accuracy of N application rates when lagoon samples for N analyses were collected more frequently and from more homogeneous lagoons. When sampled quarterly, the N application measurement error was ±50%. Homogenizing PWW and sampling weekly reduced measurement error to ±42 and ±30%, respectively. Simulations using EC as an N concentration proxy within an automated irrigation system reduced N application measurement error to ±5%. More accurate automated N concentration measurements allow for precision N management that meets yield goals and reduces environmental effects.
Tritium hydrogen‐isotope exchange with electron‐poor tertiary benzenesulfonamide moiety; application in late‐stage labeling of T0901317
Authors: Yongsong Tian , Brož Břetislav , Tureček František , Marek Aleš 
Published: December 2021

The multifunctional radioligand [3H]T0901317 ([3H]1) has been employed as a powerful autoradiographic tool to target several receptors, such as liver X, farnesoid X, and retinoic acid‐related orphan receptor alpha and gamma subtypes at nanomolar concentrations. Although [3H]1 is commercially available and its synthesis via tritiodebromination has been reported, the market price of this radioligand and the laborious synthesis of corresponding bromo‐intermediate potentially preclude its widespread use in biochemical, pharmacological, and pathological studies in research lab settings. We exploit recent reports on hydrogen‐isotope exchange (HIE) reactions in tertiary benzenesulfonamides where the sulfonamide represents an ortho‐directing group that facilitates CH activation in the presence of homogenous iridium(I) catalysts. Herein, we report a time‐ and cost‐efficient method for the tritium late‐stage labeling of compound 1—a remarkably electron‐poor substrate owing to the tertiary trifluoroethylsulfonamide moiety. Under a straightforward HIE condition using a commercially available Kerr‐type NHC Ir(I) complex, [(cod)Ir (NHC)Cl], the reaction with 1 afforded a specific activity of 10.8 Ci/mmol. Additionally, alternative HIE conditions using the heterogeneous catalyst of Ir‐black provided sufficient 0.72 D‐enrichment of 1 but unexpectedly failed while repeating with tritium gas.
Quantitative analysis of polycyclic aromatic hydrocarbons using high‐performance liquid chromatography‐photodiode array‐high‐resolution mass spectrometric detection platform coupled to electrospray and atmospheric pressure photoionization sources
Authors: Hettiyadura Anusha Priyadarshani Silva , Laskin Alexander 
Published: December 2021

AbstractPolycyclic aromatic hydrocarbons (PAHs) are common pollutants present in atmospheric aerosols and other environmental mixtures. They are of particular air quality and human health concerns as many of them are carcinogenic toxins. They also affect absorption of solar radiation by aerosols, therefore contributing to the radiative forcing of climate. For environmental chemistry studies, it is advantageous to quantify PAH components using the same analytical technics that are commonly applied to characterize a broad range of polar analytes present in the same environmental mixtures. Liquid chromatography coupled with photodiode array and high‐resolution mass spectrometric detection (LC‐PDA‐HRMS) is a method of choice for comprehensive characterization of chemical composition and quantification of light absorption properties of individual organic compounds present in the environmental samples. However, quantification of non‐polar PAHs by this method is poorly established because of their imperfect ionization in electrospray ionization (ESI) technique. This tutorial article provides a comprehensive evaluation of the quantitative analysis of 16 priority pollutant PAHs in a standard reference material using the LC–MS platform coupled with the ESI source. Results are further corroborated by the quantitation experiments using an atmospheric pressure photoionization (APPI) method, which is more sensitive for the PAH detection. The basic concepts and step‐by‐step practical guidance for the PAHs quantitative characterization are offered based on the systematic experiments, which include (1) Evaluation effects of different acidification levels by formic acid on the (+)ESI‐MS detection of PAHs. (2) Comparison of detection limits in ESI+ versus APPI+ experiments. (3) Investigation of the PAH fragmentation patterns in MS2 experiments at different collision energies. (4) Calculation of wavelength dependent mass absorption coefficient (MACλ) of the standard mixture and its individual PAHs using LC‐PDA data. (5) Assessment of the minimal injected mass required for accurate quantification of MACλ of the standard mixture and of a multi‐component environmental sample.