bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of brand anthropomorphism, brand distinctiveness, and warmth on brand attitude: A mediated moderation model
Authors: Zhang Mengwei , Li Li , Ye Yujian , Qin Ke , Zhong Jianan 
Published: June 2020

AbstractBrand anthropomorphism is one of the most widely used marketing strategies, and numerous studies have confirmed the positive effect of anthropomorphism on consumers' brand attitude. However, anthropomorphism does not always produce positive effects in particular conditions. This study focuses on the interaction effect of brand anthropomorphism and brand distinctiveness on brand attitude and tests the mediating effect of warmth and competence using the Stereotype Content Model. The results of two experiments show that brand anthropomorphism positively predicts consumers' brand attitude, and brand position (distinctiveness vs. popularity) moderates this relationship. Anthropomorphism may improve consumers' attitudes when the brand is positioned to be popular but has no effect on consumers' attitudes when the brand is positioned to be distinctive. Additionally, warmth (not competence) mediates the interaction effect of anthropomorphism and brand position on brand attitude. This study expands the extant knowledge on anthropomorphism and stereotypes in the field of consumption psychology and provides marketers with more rational strategies when applying anthropomorphism in marketing campaigns.
Surface Modification of Luminescent LnIII Fluoride Core–Shell Nanoparticles with Acetylsalicylic acid (Aspirin): Synthesis, Spectroscopic and in Vitro Hemocompatibility Studies
Authors: Kwiatek Dorota , Mrówczyńska Lucyna , Stopikowska Natalia , Runowski Marcin , Lesicki Andrzej , Lis Stefan 
Published: June 2020

AbstractLuminescent lanthanide fluoride core–shell (LaF3:Tb3+,Ce3+@SiO2‐NH2) nanoparticles, with acetylsalicylic acid (aspirin) coated on the surface have been obtained. The synthesized products, which combine the potential located in the silica shell with the luminescent activity of the core, were characterized in detail with the use of luminescence spectroscopy, Fourier transform infrared spectroscopy (FTIR), X‐ray diffraction (XRD), and transmission electron microscopy (TEM) methods. The in vitro effects of the modified luminescent nanoparticles on human red blood cell (RBC) membrane permeability, RBC shape, and sedimentation rate were investigated to assess the hemocompatibility of the obtained compounds. This study demonstrates that LaF3: Tb3+ 5 %, Ce3+ 10 %@SiO2‐NH2 nanoparticles with acetylsalicylic acid (aspirin) coated on the surface are very good precursors for multifunctional drug‐delivery systems or bio‐imaging probes that can be used safely in potential biomedical applications.
An Introduction to Model Compounds of Lignin Linking Motifs; Synthesis and Selection Considerations for Reactivity Studies
Authors: Lahive Ciaran W. , Kamer Paul C. J. , Lancefield Christopher S. , Deuss Peter J. 
Published: June 2020

AbstractThe development of fundamentally new valorization strategies for lignin plays a vital role in unlocking the true potential of lignocellulosic biomass as sustainable and economically compatible renewable carbon feedstock. In particular, new catalytic modification and depolymerization strategies are required. Progress in this field, past and future, relies for a large part on the application of synthetic model compounds that reduce the complexity of working with the lignin biopolymer. This aids the development of catalytic methodologies and in‐depth mechanistic studies and guides structural characterization studies in the lignin field. However, due to the volume of literature and the piecemeal publication of methodology, the choice of suitable lignin model compounds is far from straight forward, especially for those outside the field and lacking a background in organic synthesis. For example, in catalytic depolymerization studies, a balance between synthetic effort and fidelity compared to the actual lignin of interest needs to be found. In this Review, we provide a broad overview of the model compounds available to study the chemistry of the main native linking motifs typically found in lignins from woody biomass, the synthetic routes and effort required to access them, and discuss to what extent these represent actual lignin structures. This overview can aid researchers in their selection of the most suitable lignin model systems for the development of emerging lignin modification and depolymerization technologies, maximizing their chances of successfully developing novel lignin valorization strategies.
Regulatory roles of HSPA6 in Actinidia chinensis Planch. root extract (acRoots)‐inhibited lung cancer proliferation
Authors: Wang Lingyan , Hou Jiayun , Wang Jianxin , Zhu Zhenghua , Zhang Wei , Zhang Xuemei , Shen Hui , Wang Xiangdong 
Published: June 2020

Abstract
Actinidia chinensis Planch. root extract (acRoots) as one of Chinese traditional medications has been applied for antitumor therapy for decades, although the exact mechanisms have not been revealed. Our present study aimed to define the inhibitory specificity and pattern of acRoots in the lung cancer cell lines by comparing 40 types of cancer cell lines, select acRoots‐associated inflammation target genes from transcriptional profiles of acRoots‐sensitive and less‐sensitive lung cancer cell lines, and validate the correlation of acRoots‐associated inflammation target genes with prognosis of patients with lung cancer. We selected acRoots‐sensitive (H1299) and less‐sensitive lung cancer cells (H460) and found that the sensitivity was associated with the appearance of p53. The heat shock 70 kDa protein 6 (HSPA6) was defined as a critical factor in regulating cell sensitivity probably through the interaction with intra‐HSPA family members, inter‐HSP family members, and other families. The degree of cell sensitivity to acRoots increased in both sensitive and less‐sensitive cells after deletion of HSPA6 genes. Thus, our data indicate that HSPA6 and HSPA6‐dominated molecular network can be an alternative to modify cell sensitivity to drugs.
Conditional reprogramming: Modeling urological cancer and translation to clinics
Authors: Liu Wei , Ju Lingao , Cheng Songtao , Wang Gang , Qian Kaiyu , Liu Xuefeng , Xiao Yu , Wang Xinghuan 
Published: June 2020

AbstractPatient‐derived models, including cell models (organoids and conditionally reprogrammed cells [CRCs]) and patient‐derived xenografts, are urgently needed for both basic and translational cancer research. Conditional reprogramming (CR) technique refers to a co‐culture system of primary human normal or tumor cells with irradiated murine fibroblasts in the presence of a Rho‐associated kinase inhibitor to allow the primary cells to acquire stem cell properties and the ability to proliferate indefinitely in vitro without any exogenous gene or viral transfection. Considering its robust features, the CR technique may facilitate cancer research in many aspects. Under in vitro culturing, malignant CRCs can share certain genetic aberrations and tumor phenotypes with their parental specimens. Thus, tumor CRCs can promisingly be utilized for the study of cancer biology, the discovery of novel therapies, and the promotion of precision medicine. For normal CRCs, the characteristics of normal karyotype maintenance and lineage commitment suggest their potential in toxicity testing and regenerative medicine. In this review, we discuss the applications, limitations, and future potential of CRCs in modeling urological cancer and translation to clinics.
Land transformation in tropical savannas preferentially decomposes newly added biomass, whether C3 or C4 derived
Authors: Wynn Jonathan G. , Duvert Clément , Bird Michael I. , Munksgaard Niels C. , Setterfield Samantha A. , Hutley Lindsay B. 
Published: June 2020

AbstractAs tropical savannas are undergoing rapid conversion to other land uses, native C3‐C4 vegetation mixtures are often transformed to C3‐ or C4‐dominant systems, resulting in poorly understood changes to the soil carbon (C) cycle. Conventional models of the soil C cycle are based on assumptions that more labile components of the heterogenous soil organic C (SOC) pool decompose at faster rates. Meanwhile, previous work has suggested that the C4‐derived component of SOC is more labile than C3‐derived SOC. Here we report on long‐term (18 months) soil incubations from native and transformed tropical savannas of northern Australia. We test the hypothesis that, regardless of the type of land conversion, the C4 component of SOC will be preferentially decomposed. We measured changes in the SOC and pyrogenic carbon (PyC) pools, as well as the carbon isotope composition of SOC, PyC and respired CO2, from 63 soil cores collected intact from different land use change scenarios. Our results show that land use change had no consistent effect on the size of the SOC pool, but strong effects on SOC decomposition rates, with slower decomposition rates at C4‐invaded sites. While we confirm that native savanna soils preferentially decomposed C4‐derived SOC, we also show that transformed savanna soils preferentially decomposed the newly added pool of labile SOC, regardless of whether it was C4‐derived (grass) or C3‐derived (forestry) biomass. Furthermore, we provide evidence that in these fire‐prone landscapes, the nature of the PyC pool can shed light on past vegetation composition: while the PyC pool in C4‐dominant sites was mainly derived from C3 biomass, PyC in C3‐dominant sites and native savannas was mainly derived from C4 biomass. We develop a framework to systematically assess the effects of recent land use change vs. prior vegetation composition.
Improved parallel reactive hybrid particle swarm optimization using improved neighborhood schedule generation method for the integrated framework of optimal production scheduling and operational planning of an energy plant in a factory
Authors: Kawaguchi Shuhei , Fukuyama Yoshikazu 
Published: June 2020

AbstractThis study proposes improved parallel reactive hybrid particle swarm optimization (IPRHPSO) using an improved neighborhood schedule generation method for the integrated framework of optimal production scheduling and operational planning of an energy plant in a factory. Conventionally, in an energy plant, fixed loads of various tertiary energies have been utilized to solve the optimal operational planning of an energy plant so far. Additionally, in production lines, only the minimization of production time has been yet considered. Therefore, the secondary energy cost of a factory cannot be reduced accurately. However, in this study, the loads of various tertiary energies are calculated according to the candidates of production scheduling and the optimal operational planning of an energy plant is determined using the tertiary energies. This can explicitly reduce the secondary energy cost of a factory. The proposed method was applied to 10 jobs and machine JSPs each. Accordingly, it was verified that it can minimize the secondary energy cost and production time simultaneously, and realize fast computation through parallel computation using IPRHPSO.
Optimized planning of repair works for pipelines in water distribution networks using genetic algorithm
Authors: Zangenehmadar Zahra , Moselhi Osama , Golnaraghi Sasan 
Published: June 2020

AbstractOne of the main reasons for pipeline breakage and leakage is aging. This results in a decline in system efficiency, and associated levels of service, which in turn may endanger public health and safety. Since the most expensive and significant part of a water supply system is the distribution network, repair strategies are necessary to protect the value of the assets when a pipeline reaches the end of its useful life. Usually, repair works are taken as a reaction to the detection of a leak, pressure improvement and other factors that eventually results in an inefficient management of allocated funds. Therefore, a careful computational analysis should be performed to efficiently utilize the allocated budge. This paper presents a near‐optimized budget allocation model that is able to find the near‐optimal scheduling plan for renewal and/or replacement. The aim of this paper is to suggest a new model in order to minimize the number of breaks over a given planning horizon and the overall cost of repair of water distribution networks (WDNs), including indirect damage cost, direct damage cost, and failure repair cost while fulfilling functional requirements. The model will identify the pipe segment that needs replacement, time of replacement, and the necessary interventions that should be carried out for the network. It also identifies those pipelines that need repair. The solution is usually constrained by the yearly limited budget. The optimization procedure results in a solution alternative that decision‐makers could use for their operational requirements. The outcome of the developed model is validated based on the available leakage and breakage data from the city of Montreal database and an existing validated model. The model forecast that, in the next 20 years, 19.7% of the network will need open trench repair, 25.3% could be repaired using trenchless techniques, while 50.9% of the pipelines will remain intact.
Investigation of the fractal characteristics of adsorption‐pores and their impact on the methane adsorption capacity of various rank coals via N2 and H2O adsorption methods
Authors: Chen Ming‐yi , Yang Ya‐pu , Gao Cai‐hong , Cheng Yuan‐ping , Wang Jing‐chun , Wang Ning 
Published: June 2020

AbstractCoal seam is a sedimentary body with complex pore system. The gas adsorption property of coal is greatly determined by the adsorption‐pores (<100 nm), and the fractal dimension can be used an index to estimate the impact of the adsorption‐pores on the methane adsorption capacity of various rank coals. In this paper, low‐temperature N2 adsorption and H2O adsorption methods were used to study the adsorption‐pores structure and its fractal features. The results show that the development of adsorption‐pores closely depends on the coalification, and the degree of pore development exhibits a U‐shaped trend with increasing coal rank. Additionally, the pore size distributions of coal samples from N2 adsorption analysis and H2O adsorption analysis are similar, especially for samples LH7 and WLH8. Fractal analysis indicates that D2(N2) (0.5 < P/P0 < 1) can more accurately characterize the fractal features of adsorption‐pores than D2(H2O), which may be a result of the significant coal‐H2O interaction. Moreover, D2(N2) has stronger correlations with the coal pore parameters. With the increase in D2(N2), the Langmuir volume first decreases and then increases, which is probably associated with the competition effect of the pore structure and surface irregularity of coal. When D2(N2) < 2.7‐2.8, the pore structure plays a key role, while for D2(N2) > 2.7‐2.8, the influence of the specific surface area is more prominent. The equilibrium moisture content of the coal samples also has a positive correlation with D2, except for low‐rank coal sample YZG2 due to the presence of a large amount of oxygen‐containing functional groups, which increases its water‐holding capacity.
The mechanism of decrease in bearing capacity and performance evaluation of the yielding bolt in coal mine
Authors: Tai Yang , Huang Shaoping , Xia Hongchun , Zhou Yibo , Tian Xichun 
Published: June 2020

AbstractWith the increase of the coal mining depth, the surrounding rock shows characteristics of high stress and large deformation. However, the traditional bolt could not adapt to this surrounding rock environment and become invalid due to low elongation. In order to solve the problem, the new type of yielding bolt has been designed. It could release the deformation energy of the surrounding rock through its yielding pipe. However, few studies have been reported on the mechanism in bearing capacity decrease of the yielding pipe. Furthermore, the evaluation of the yielding bolt was not fully understood. Under such a background, a numerical model of the yielding model was established. According to the numerical simulation, the mechanism of the decrease in the bearing capacity of the yielding bolt is that the buckling occurs at different positions of the yielding pipe, making the material stiffness matrix turn negative, and the bearing capacity decreases significantly. Also, the performance of the yielding bolt could be evaluated from the use efficiency of the yielding pipe, the plastic strain characteristics of the components of the yielding bolt, and the energy absorption law. The evaluation results indicated that: (a) the deviation of the yielding pipe's Mises stresses was within the range of 1.0%‐4.0%. The stresses were distributed evenly, and the material use efficiency was high; (b) only the yielding pipe occurred the plastic failure during the yielding process, and other components were at the elastic stages. After the yielding, the yielding bolt was still effective for support. (c) The yielding pipe could absorb energy smoothly, which is helpful for the stability of the yielding bolt.
An integrated intrusion detection system using correlation‐based attribute selection and artificial neural network
Authors: Sumaiya Thaseen I. , Saira Banu J. , Lavanya K. , Rukunuddin Ghalib Muhammad , Abhishek Kumar 
Published: June 2020

AbstractSerious concerns regarding vulnerability and security have been raised as a result of the constant growth of computer networks. Intrusion detection systems (IDS) have been adopted by network administrators to provide essential network security. Commercial IDS in the market do not have the capability to identify novel attacks but generate false alarms for legitimate user activities. Neural networks can be applied for the solution of these issues and for providing improved accuracy. Correlation‐based attribute selection ranks the features according to the highest correlation between the attributes and class label. In this article, the authors propose a correlation‐based feature selection integrated with neural network for identifying anomalies. Experimental analysis performed on NSL‐KDD and UNSW‐NB datasets, which are benchmark datasets of intrusion detection with current attacks. The results show that the proposed model is superior in terms of accuracy, sensitivity, and specificity in comparison with some of the state‐of‐the‐art techniques. With the emergence of the Internet of Things Technology, such IDS can be deployed for securing the IoT servers in future. Wireless payment systems can be secured by building and deploying IDS. A secure integrated network management can be achieved which is error‐free and thereby improving performance.
Solving the fully nonlinear weakly dispersive Serre equations for flows over dry beds
Authors: Pitt Jordan P.A. , Zoppou Christopher , Roberts Stephen G. 
Published: June 2020

AbstractWe describe a numerical method for solving the Serre equations that can simulate flows over dry bathymetry. The method solves the Serre equations in conservation law form with a finite volume method. A finite element method is used to solve the auxiliary elliptic equation for the depth‐averaged horizontal velocity. The numerical method is validated against the lake at rest analytic solution, demonstrating that it is well‐balanced. Since there are currently no known nonstationary analytical solutions to the Serre equation that involve bathymetry, a nonstationary forced solution, involving bathymetry was developed. The method was further validated and its convergence rate established using the developed nonstationary forced solution containing the wetting and drying of bathymetry. Finally, the method is also validated against experimental results for the run‐up of a solitary wave on a sloped beach. The finite‐volume finite‐element approach to solving the Serre equation was found to be accurate and robust.
Anti‐Toxoplasma activity and chemical compositions of aquatic extract of Mentha pulegium L. and Rubus idaeus L.: An in vitro study
Authors: Mohammad Rahimi Hanieh , Khosravi Mojdeh , Hesari Zahra , Sharifdini Meysam , Mirjalali Hamed , Zali Mohammad Reza 
Published: June 2020

AbstractThis study aimed to determine the chemical compositions of crude aquatic extracts of M. pulegium L. and R. idaeus L., and their anti‐Toxoplasma activity. Crude aquatic extraction of aerial parts of R. idaeus L. and M. pulegium L. was performed. GC‐MS and HTPLC analyses were carried out. MTT assay was performed on Vero cells treated by different concentrations (Log −10 from 10−1 to 10−6) of the extracts. The anti‐Toxoplasma activity of the concentrations was investigated using vital staining. Menthol (99.23%) and limonene (0.227%) were the major compounds of the aquatic extract of M. pulegium L. Phytochemical compositions of R. idaeus L. were terpenoids, esterols, and flavonoids. The cell toxicity of M. pulegium L. was lower than R. idaeus L. (CC50 > 10−2 versus. ≥ 10−4). Aquatic extract of M. pulegium L. showed higher anti‐Toxoplasma activity (LC50 ≥ 10−6) than R. idaeus L. (LC50 ≥ 10−5). Statistically significant cell toxicity and anti‐Toxoplasma activity (p < .05) were seen regarding the different concentrations of R. idaeus L. and M. pulegium L. Both R. idaeus L. and M. pulegium L. revealed anti‐Toxoplasma activities. Cell toxicity of R. idaeus L. was significantly higher than M. pulegium L. M. pulegium L. extract could be more applicable due to its lower cell toxicity.
Subcellular diversion of cholesterol by gain‐ and loss‐of‐function mutations in PMP22
Authors: Zhou Ye , Borchelt David , Bauson Jodi C. , Fazio Sergio , Miles Joshua R. , Tavori Hagai , Notterpek Lucia 
Published: June 2020

AbstractAbnormalities of the peripheral myelin protein 22 (PMP22) gene, including duplication, deletion and point mutations are a major culprit in Type 1 Charcot–Marie–Tooth (CMT) diseases. The complete absence of PMP22 alters cholesterol metabolism in Schwann cells, which likely contributes to myelination deficits. Here, we examined the subcellular trafficking of cholesterol in distinct models of PMP22‐linked neuropathies. In Schwann cells from homozygous Trembler J (TrJ) mice carrying a Leu16Pro mutation, cholesterol was retained with TrJ‐PMP22 in the Golgi, alongside a corresponding reduction in its plasma membrane level. PMP22 overexpression, which models CMT1A caused by gene duplication, triggered cholesterol sequestration to lysosomes, and reduced ATP‐binding cassette transporter‐dependent cholesterol efflux. Conversely, lysosomal targeting of cholesterol by U18666A treatment increased wild type (WT)‐PMP22 levels in lysosomes. Mutagenesis of a cholesterol recognition motif, or CRAC domain, in human PMP22 lead to increased levels of PMP22 in the ER and Golgi compartments, along with higher cytosolic, and lower membrane‐associated cholesterol. Importantly, cholesterol trafficking defects observed in PMP22‐deficient Schwann cells were rescued by WT but not CRAC‐mutant‐PMP22. We also observed that myelination deficits in dorsal root ganglia explants from heterozygous PMP22‐deficient mice were improved by cholesterol supplementation. Collectively, these findings indicate that PMP22 is critical in cholesterol metabolism, and this mechanism is likely a contributing factor in PMP22‐linked hereditary neuropathies. Our results provide a basis for understanding how altered expression of PMP22 impacts cholesterol metabolism.