bluuebunny/crossref_metadata_2025_split huggingface dataset:
Land surface signal of the Indochina Peninsular precipitation variability during the early rainy season
Authors: Wang Zhibiao , Wu Renguang 
Published: December 2020

AbstractThe precipitation variability is subject to impacts of both ocean and land surface condition changes. The present study investigates the role of land surface condition in the interannual variation of the early rainy season (May–June) precipitation over the Indochina Peninsula. A precursory signal is identified in surface air temperature (SAT) during March–April over central Asia after the late 1970s. The air temperature anomalies extend to middle troposphere and persist to early summer (May–June) and modulate the land‐sea thermal contrast and lower‐level and upper‐level winds over the North Indian Ocean and thus affect the early rainy season precipitation over the Indochina Peninsula. The maintenance of SAT anomalies over central Asia is related to that of surface heat flux anomalies that in turn is attributed to the persisting atmospheric wind anomalies. The precursory signal is weak before the late 1970s due to the lack of persisting atmospheric wind anomalies. The interdecadal change in the persistence of central Asian SAT anomalies is associated with a difference in the distribution of the North Atlantic sea surface temperature (SST) anomalies. After the late 1970s, the North Atlantic SST anomalies with a southwest‐northeast distribution excite a wave train that extends from the North Atlantic to central Asia during May–June. Before the late 1970s, the wave train associated the North Atlantic SST anomalies with a south–north distribution is confined to the North Atlantic region.
Co‐occurrence of organic and inorganic N influences asparagine uptake and amino acid profiles in white clover
Authors: Czaban Weronika , Rasmussen Jim 
Published: December 2020

AbstractBackground: Direct plant uptake of organic nitrogen (N) may be important for plant N nutrition, but we lack knowledge of how the concentration and form of external N influence organic N uptake and plant N status.Aims: We investigated the uptake of the amino acid asparagine (Asn) in white clover in the presence of different inorganic, organic and total N concentrations.Methods: Actively N2‐fixing white clover seedlings were for one week exposed to combinations of (3–30 µmol N kg−1sand DW) and Asn (3–30 µmol N kg−1sand DW), whereafter the Asn uptake rate was determined by addition of13C4‐Asn. Shoot and root amino acid profiles were also analyzed.Results: Increasing and total N concentrations decreased13C4‐Asn uptake rates and internal clover Asn content. In addition, total N and also affected amino acid profiles, with Asn, Asp, Glu, Gln, Cys, Gly, Pro, Ser, and Ala being more related to the low N doses, and Thr, Val, Ile, Leu, Phe, Tyr, Trp, and Met being more abundant at increasing N doses.Conclusions: Asn uptake rate in white clover is reduced by increasing inorganic N. Plant amino acid profiles are likely to be a more sensitive indicator of N supply.
Residue behavior and safety evaluation of pymetrozine in tea
Authors: Yu Huan , Sun Hezhi , Wang Xinru , Liang Yabo , Guo Mingming , Yu Jiawei , Yang Mei , Zhang Xinzhong , Luo Fengjian , Zhou Li 
Published: December 2020

AbstractBACKGROUNDPymetrozine is a widely used pesticide. It is challenging to analyze and difficult to manage due to the large gap in its global maximum residue limits (MRLs) in tea. The development of a high‐efficiency detection method for the evaluation of the transfer of residual pymetrozine from tea plantations to tea cups is therefore of prime significance.RESULTSAn analytical method for the determination of pymetrozine residues in tea was established based on Cleanert PCX solid‐phase extraction. The average recoveries were 72.2–93.7%, with relative standard deviations (RSDs) of less than 12%. The limits of quantification (LOQs) were 0.005 mg·kg−1 in fresh tea leaves and dry tea, and 0.00025 mg·L−1 in tea brew. Pymetrozine degraded rapidly in tea plants with a half‐life (t1/2) of 1.9 days in open tea plantations, and decreased by 9.4–23.7% in the green tea‐processing procedure, which was concentration dependent. The residual pymetrozine levels in green tea collected at 6 and 21 days were below the MRLs in China and EU at a dosage of 30 g a.i. ha−1, respectively. The leaching rates of pymetrozine from dry tea to tea brew were 58.7–96.3%. Hazard quotient (HQ) values of pymetrozine were significantly <100% when tea shoots were plucked in 6 days, which indicated a negligible risk to humans.CONCLUSIONThis work allows the determination of residual pymetrozine in tea and illustrates a low intake risk with the use of pymetrozine in tea plantations. It could serve as reference for further regulation consideration for maximum residue limits (MRLs). © 2020 Society of Chemical Industry
Applicability of high‐resolution NMR in combination with chemometrics for the compositional analysis and quality control of spices and plant‐derived condiments
Authors: Belmonte‐Sánchez Eva , Romero‐González Roberto , Garrido Frenich Antonia 
Published: December 2020

AbstractOver the last years, the consumption of spices and plant‐derived condiments has increased considerably, owing to new culinary trends. Unfortunately, the current marketing channels make them highly vulnerable to adulteration and food fraud. High‐resolution nuclear magnetic resonance (NMR) is a powerful tool for the compositional study of spices and plant‐derived condiments. It allows the chemical characterization of a wide range of polar and non‐polar metabolites, and provides unique structural information not available by other techniques. The chemometric‐based analysis of NMR ‘fingerprints’ has been used to discriminate samples according to species and geographical origin and to detect adulterations, among other applications. The comprehensive identification and quantification of marker compounds can be achieved even in complex mixtures, demonstrating a great potential for high‐throughtput quality control applications. © 2020 Society of Chemical Industry
Self‐Assembled Star‐Shaped sPCL–PEG Copolymer Nanomicelles with pH‐Sensitivity for Anticancer Drug Delivery
Authors: Li Hanhong , Cheng Zhenqi , Wang Yang , Zhou Dong , Su Mingji , Wang Xianxun , He Peixin , Zhang Yuhong 
Published: December 2020

AbstractAs matters stand, chemotherapy is faced with high toxic and side effects, high risks, and long treatment cycles. Thus, stability, high encapsulation efficiency, intelligent controllability, and good biocompatibility are of great importance for drug delivery vehicles. Herein, a novel doxorubicin hydrochloride (DOX)‐loaded micelle‐like nanoparticle with pH responsive star‐shaped polycaprolactone–polyethyleneglycol copolymer (sPCL–PEG–CT, sPP) is developed through esterification with inositol–polycaprolactone (sPCL) and carboxylated polyethylene glycol (TC–PEG–CT). sPP nanomicelles (sPP NMs) have a high encapsulation efficiency of greater than 85%, an average size of 95 nm, and a zeta potential of −18 mV. In addition, in vitro release tests show that ≈70% of the drug is released from sPP/DOX NMs into phosphate buffer saline solution (PBS) (pH 5.0) at 37 °C for 12 h. More importantly, the cumulative release is ≈90% for 170 h, displaying a more sustainable drug release behavior. The work explores a new synthesis route of star‐shaped polycaprolactone–polyethyleneglycol copolymer NMs. The sPP NMs have a promising future in drug carrier, especially for hydrophobic drugs.
Influence of Graphene Oxide on Thermally Induced Shape Memory Behavior of PLA/TPU Blends: Correlation with Morphology, Creep Behavior, Crystallinity, and Dynamic Mechanical Properties
Authors: Azadi Fatemeh , Jafari Seyed Hassan , Khonakdar Hossein Ali , Arjmand Mohammad , Wagenknecht Udo , Altstädt Volker 
Published: December 2020

AbstractIn this study, shape memory is thermally induced in a series of graphene oxide (GO) filled poly(lactic acid)/thermoplastic polyurethane (PLA/TPU) blends, prepared via melt mixing process, and their shape recovery and shape fixity are measured, and the results are correlated with morphology, dynamic mechanical properties, crystallinity and creep recovery behavior. Morphological analysis by scanning and transmission electron microscopy reveals that the blends are immiscible, and GO platelets are mainly localized in the TPU phase of the blends, which lead to smaller and more elongated TPU droplets with improved interfacial adhesion being responsible for the improved shape recovery performance compared to the unfilled blend. A systematic enhancement found in storage and Young's modulus, tensile strength, creep resistance and creep recovery, and cold crystallinity as a result of GO inclusion are in agreement with the improved shape recovery, shape fixity and overall shape memory performance of the filled systems. The developed PLA/TPU/GO nanocomposites with highly improved mechanical properties can be utilized as a new class of environmentally friendly shape memory materials for a broad range of applications.
A potential therapeutic strategy for prostatic disease by targeting the oral microbiome
Authors: Fang Cheng , Wu Lan , Zhu Cong , Xie Wen‐Zhong , Hu Hailiang , Zeng Xian‐Tao 
Published: December 2020

AbstractNowadays, human microbiome research is rapidly growing and emerging evidence has witnessed the critical role that oral microbiome plays in the process of human health and disease. Oral microbial dysbiosis has been confirmed as a contributory cause for diseases in multiple body systems, ranging from the oral cavity to the gastrointestinal, endocrine, immune, cardiovascular, and even nervous system. As research progressing, oral microbiome‐based diagnosis and therapy are proposed and applied, which may represent potential drug targets in systemic diseases. Recent studies have uncovered the possible association between periodontal disease and prostatic disease, suggesting new prevention and therapeutic treatment for the disease by targeting periodontal pathogens. Thus, we performed this review to first explore the association between the oral microbiome and prostatic disease, according to current knowledge based on published articles, and then mainly focus on the underlying molecular and cellular mechanisms and the potential prevention and treatment derived from these mechanistic studies.
Pricing strategy and campaign design in flight crowdfunding: A creative way to sell flight tickets
Authors: Zhang Zihao , Ling Liuyi , Yang Feng 
Published: December 2020

AbstractThis paper analyzes a novel selling strategy for airlines, termed flight crowdfunding, whereby an airline, as a creator, launches flights to solicit funds from the crowd. Under this strategy, the project succeeds if the total amount pledged reaches a predetermined threshold by the end of the campaign; otherwise, the flight will be canceled. We provide an implementable model to describe the process of flight crowdfunding and explain the behavior of strategic consumers. First, we find that crowdfunding is strictly optimal for airlines in a competitive market, although perhaps not in a monopoly market. Crowdfunding benefits airlines by reducing their expected cost and introducing a new type of buyer uncertainty, that is, uncertainty in the projects' success probability. Second, we show that the optimal threshold is lower than the indifferent point. Third, a counterintuitive finding is that crowdfunding may increase the equilibrium price in a monopoly market. Our research underscores the importance of crowdfunding and shows that crowdfunding may be even more attractive than what was previously thought. Crowdfunding can also improve airlines' profits as a revenue management strategy and benefit social welfare by reducing greenhouse gas emissions.
Evaluate the effectiveness of breast cancer decision aids: A systematic review and meta‐analysis of randomize clinical trails
Authors: Gao Jin‐ping , Jin Ying‐hui , Yu Shao‐fu , Wu Wang‐feng , Han Shi‐fan 
Published: December 2020

AbstractAimTo assess the effectiveness of decision aids in the treatment, prevention and screening of breast cancer patients.DesignA systematic review and meta‐analysis.MethodsThe review protocol was registered in the CRD Prospero database(CRD42020173028).A literature search was carried out in five databases: PubMed, Cochrane, EMBASE, Scopus and Web of science data in January 2020. We used The Cochrane risk bias assessment tool to evaluate the literature quality of included trials and the Review Manager 5.2 software to analyse data.ResultsWe included 22 studies. Compared with the conventional methods, decision aids reduced treatment decision conflicts and had no significant effect on screening decision conflicts (WMD=−2.25, 95% CI = ‐ 2.64,‐1.87, p < .0001; WMD=−1.37, 95% CI = ‐ 3.57,0.83, p = .22). Three were no statistical differences in participants' anxiety, decision regret, knowledge, informed choice and decision‐making satisfaction between the two groups.
Ostrowski type inequalities for multiplicatively P‐functions
Authors: Kadakal Huriye 
Published: December 2020

AbstractIn this paper, by using both the Hölder, power‐mean integral inequalities and Hölder‐İşcan, improved power‐mean integral inequalities that give approach better than Hölder and power‐mean inequalities respectively, some new Ostrowski type inequalities are derived for multiplicatively P‐function. The results obtained in both cases are compared and the results obtained using Hölder‐İşcan and improved power‐mean integral inequalities are proven to be better. Some applications to special means of real numbers are given.
Repurposing FDA‐Approved Compounds for the Discovery of Glutaminyl Cyclase Inhibitors as Drugs Against Alzheimer's Disease
Authors: Xu Chenshu , Zou Haoman , Yu Xi , Xie Yazhou , Cai Jiaxin , Shang Qi , Ouyang Na , Wang Yinan , Xu Pan , He Zhendan , Wu Haiqiang 
Published: December 2020

AbstractAlzheimer's disease (AD) is one of the most common neurodegenerative causes of dementia, the pathology of which is still not much clear. It′s challenging to discover the disease modifying agents for the prevention and treatment of AD over the years. Emerging evidence has been accumulated to reveal the crucial role of up‐regulated glutaminyl cyclase (QC) in the initiation of AD. In the current study, the QC inhibitory potency of a library consisting of 1621 FDA‐approved compounds was assessed. A total of 54 hits, 3.33 % of the pool, exhibited QC inhibitory activities. The Ki of the top 5 compounds with the highest QC inhibitory activities were measured. Among these selected hits, compounds affecting neuronal signaling pathways and other mechanisms were recognized. Moreover, several polyphenol derivatives with QC inhibitory activities were also identified. Frameworks and subsets contained in these hits were analyzed. Taken together, our results may contribute to the discovery and development of novel QC inhibitors as potential anti‐AD agents.
Venetoclax/decitabine for a pediatric patient with chronic myelomonocytic leukemia
Authors: Molina John C. , Asare Julie M. , Tuschong Laura , West Robert R. , Calvo Katherine R. , Persky Rebecca , Boyce Alison M. , Hammoud Dima A. , Holland Steven M. , Hickstein Dennis , Shah Nirali N. 
Published: December 2020

AbstractChronic myelomonocytic leukemia (CMML) is a myelodysplastic syndrome (MDS)/myeloproliferative disorder most commonly seen in the elderly. We describe an adolescent with monosomy 7 CMML presenting as central diabetes insipidus (DI), who was treated with venetoclax and decitabine as a bridge to hematopoietic stem cell transplantation (HSCT). Central DI is a rare manifestation of monosomy 7‐associated MDS including CMML, itself a rare manifestation of GATA2 deficiency, particularly in children. Venetoclax/decitabine was effective for treatment of CMML as a bridge to HSCT.
The reinforcement of styrene butadiene rubber composites with simple environmentally friendly aramid fiber modification
Authors: Ji Yongchun , Liu Chunli , Luo Zhu , Zhong Jincheng , Yin Lianpeng 
Published: December 2020

AbstractThe surface treatment of aramid fiber (AF) improved the properties of reinforced composites. However, many AF modification methods were difficult to apply to the mass production of reinforced composites due to drawbacks, such as processes that were complex and not environmentally friendly. This paper described three simple and environmentally friendly methods for AF surface treatment and their effects on the properties of reinforced aramid fiber/carbon black/butadiene benzene ethylene rubber (AF/CB/SBR) composites. The AF was treated by thermal oxidation and coated with butadiene‐styrene‐pyridine rubber latex (VPL) or maleated polybutadiene liquid rubber. Then, AF/CB/SBR composites were produced when the modified AF was introduced into the SBR matrix. The results showed that compared with that of the composite with untreated AF, the interfacial bonding between the modified AF and the rubber matrix was improved, especially for tensile modulus elongations of 100% and 300%, and the tear strength of the composites was enhanced. Compared with those for the rubber composites with the AF treated by thermal oxidation, the mechanical properties of the rubber composites with the coated AF showed a greater improvement, but the heat generation was higher. Moreover, the thermal oxidation method not only improved the constant elongation stress and tear strength but also reduced the heat generation of the materials.
Central Arctic weather forecasting: Confronting theECMWF IFSwith observations from the Arctic Ocean 2018 expedition
Authors: Tjernström Michael , Svensson Gunilla , Magnusson Linus , Brooks Ian M. , Prytherch John , Vüllers Jutta , Young Gillian 
Published: December 2020

AbstractForecasts with the European Centre for Medium‐Range Weather Forecasts' numerical weather prediction model are evaluated using an extensive set of observations from the Arctic Ocean 2018 expedition on the Swedish icebreakerOden. The atmospheric model (Cy45r1) is similar to that used for the ERA5 reanalysis (Cy41r2). The evaluation covers 1 month, with the icebreaker moored to drifting sea ice near the North Pole; a total of 125 forecasts issued four times per day were used. Standard surface observations and 6‐hourly soundings were assimilated to ensure that the initial model error is small. Model errors can be divided into two groups. First, variables related to dynamics feature errors that grow with forecast length; error spread also grows with time. Initial errors are small, facilitating a robust evaluation of the second group; thermodynamic variables. These feature fast error growth for 6–12 hr, after which errors saturates; error spread is roughly constant. Both surface and near‐surface air temperatures are too warm in the model. During the summer both are typically above zero in spite of the ongoing melt; however, the warm bias increases as the surface freezes. The warm bias is due to a too warm atmosphere; errors in surface sensible heat flux transfer additional heat from the atmosphere to the surface. The lower troposphere temperature error has a distinct vertical structure: a substantial warm bias in the lowest few 100 m and a large cold bias around 1 km; this structure features a significant diurnal cycle and is tightly coupled to errors in the modelled clouds. Clouds appear too often and in a too deep layer of the lower atmosphere; the lowest clouds essentially never break up. The largest error in cloud presence is aligned with the largest cold bias at around 1 km.
A class of generalized Birnbaum‐Saunders distributions for reliability modeling
Authors: Xu Ancha , He Huizi , Yu Bingpeng 
Published: December 2020

AbstractIn this paper, we generalize the Birnbaum‐Saunders (BS) distribution by two ways. One is based on the mixture representation of BS distribution, and a flexible weight is adopted to describe the kurtosis of the distribution. The other way is based on the transformation property of BS distribution, and we incorporate a power parameter in the transformation to describe the skewness of the distribution. Then a four‐parameter BS distribution including skewness and kurtosis parameters is induced by combining the two ways. The properties of these generalized BS distributions are investigated. Then, the expectation maximization (EM) algorithm is proposed to estimate the parameters. Real data analysis is performed to illustrate the superiority of the generalized BS distributions. Finally, some potential generalizations are discussed.
Structural, electronic, elastic, magnetic and thermodynamic properties of Mn2LuZ (Z = B, Al, Ga and In) Heusler compounds: A first‐principle study
Authors: Morsli Amaria , Bentouaf Ali , Mahdad Benzerdjab Amina , Ameri Ibrahim , Ameri Mohammed , Aïssa Brahim 
Published: December 2020

AbstractThe study of the structural, electronic, thermodynamic, elastic and magnetic properties of rare‐earth based full Heusler alloys Mn2LuZ (Z = B, Al, Ga and In) have been carried out using the full‐potential linearized muffin‐tin orbital method (FP‐LMTO), within density functional theory (DFT) and generalized gradient approximation (GGA) for exchange and correlation energy. The electronic properties studied have shown that the compounds have a metallic behavior. We have also computed the mechanical properties where we found these full Heusler compounds are mechanically stable. Using the quasi‐harmonic Debye model, the variations of bulk modulus, thermal expansion coefficient, heat capacities, Debye temperature and Gibbs free energy with pressures covering the 0–40 GPa interval and temperatures ranging from 0 to 1500 K were also investigated and in‐depth discussed. The calculated properties represent a solid prediction for the Mn2LuZ (Z = B, Al, Ga and In) Heusler compounds and are awaiting for experimental concretization.
Szász–Mirakyan‐based adaptive controller design for chaotic synchronization
Authors: Izadbakhsh Alireza , Zamani Iman , Khorashadizadeh Saeed 
Published: December 2020

AbstractThis article presents a robust adaptive controller for chaos synchronization using the Szász–Mirakyan operator as a universal approximator. In accordance with the universal approximation theorem, the Szász–Mirakyan operator, an extended version of the Bernstein polynomial, can approximate uncertainties, including unmodeled dynamics and external disturbances. This fact is completely discussed in this article. It is shown that using the Szász–Mirakyan operator as basis functions and tuning the polynomial coefficients by the adaptive laws calculated in the stability analysis, uniformly ultimately bounded stability can be assured. Performance evaluation has also been carried out to confirm the satisfactory performance of transient response of the controller. Numerical simulations on the Duffing–Holmes oscillator are provided in order to demonstrate the effectiveness of this approach.