bluuebunny/crossref_metadata_2025_split huggingface dataset:
Volatility forecasting using stochastic conditional range model with leverage effect
Authors: Wu Xinyu , Xie Haibin 
Published: May 2019

AbstractIn this paper, we propose a stochastic conditional range model with leverage effect (henceforth SCRL) for volatility forecasting. A maximum likelihood method based on the particle filters is developed to estimate the parameters of the SCRL model. Simulation results show that the proposed methodology performs well. We apply the proposed model and methodology to four stock market indices, the Shanghai Stock Exchange Composite Index of China, the Hang Seng Index of Hong Kong, the Nikkei 225 Index of Japan, and the S&P 500 Index of US. Empirical results highlight the value of incorporating leverage effect into range modeling and forecasting. In particular, the results show that our SCRL model outperforms the conditional autoregressive range model, the conditional autoregressive range model with leverage effect, and the stochastic conditional range model in both in‐sample fit and out‐of‐sample forecast.
An empirical study among science education majors in postgraduate students of an Australian university
Authors: Chen Tim , Kuo Feiching , Chen John C.Y 
Published: May 2019

AbstractThis study aims to investigate the science education majors' experiences of employment, vocational self‐awareness, and self‐expectation, as well as the relationships among these variables in the university context based on the developmental‐contextual model of career development. Data were collected from a questionnaire survey of 815 science education majors in the selected universities. Through the use of regression analysis and statistical computation, we investigate the relationship between students' experience of finding employment upon graduation and a series of related variables and identify those factors that serve as boosters to self‐expectation. The results of this study found that the science education majors' experiences of employment directly and indirectly influenced their self‐expectation vis‐à‐vis the effect on their vocational self‐awareness. Findings point out to the increasingly important role university can play in developing and enhancing sufficient and appropriate employment and vocational information for science education majors. The science education departments of universities in Postgraduate students of Swinburne university may offer more sufficient vocational information about the occupations which the science education majors will enter after graduating to promote their vocational self‐awareness, such as occupational characteristics, occupational fringe benefits, occupational qualifications, and occupational ethics.
Using advertising alignment to improve product placement effects on product choice: The power of facilitating analogies
Authors: Roehm Harper A. , Roehm Michelle L. 
Published: May 2019

AbstractTwo studies investigate the utility of analogical reasoning for improving the likelihood of consumer choice after a product placement. Data suggest that analogical transfer to real‐life situations of a product solution featured in a placement can be facilitated by judicious use of accompanying advertising. Ads that are distinct from placement content are associated with higher choice frequencies for the focal item than are ads that play as extensions of a show episode in which a product was placed. This presumably occurs because distinct ads promote generalization of the solution viewed in the product placement, and this, in turn, facilitates later analogical mapping of the solution.
Combination treatment with nivolumab and Rigvir of a progressive stage IIC skin melanoma patient
Authors: Brokāne Linda , Jaunalksne Inta , Tilgase Andra , Olmane Evija , Petroška Donatas , Rasa Agnija , Alberts Pēteris 
Published: May 2019

AbstractA 35‐year‐old male patient was diagnosed with stage IIC skin melanoma that rapidly progressed after surgery. Treatment was continued with radiotherapy, which did not stop further spread of disease and the patient was put on a combination of nivolumab and Rigvir. Subsequently, the progression has slowed.
Challenges in the diagnosis and management of isolated congenital complete atrioventricular block in premature newborns
Authors: Gegieckienė Rūta , Vankevičienė Ramunė , Kinčinienė Odeta , Liubšys Arūnas 
Published: May 2019

AbstractDiagnostic and treatment challenges of congenital complete atrioventricular block in two premature newborn babies are presented. Timely recognition of this fetal condition, appropriate antenatal care, and treatment at a tertiary level care hospital as well as prompt postnatal management of the newborn baby are the key factors for good outcome. Prematurity is also associated with an additional risk of poor outcome and complications.
Catalytic Dehydrosulfurization of Thioamides to Nitriles by Gold Nanoparticles Supported on Carbon Nanotubes
Authors: Gopi Elumalai , Geertsen Valérie , Gravel Edmond , Doris Eric 
Published: May 2019

AbstractA gold‐carbon nanotube nanohybrid was shown to act as an efficient heterogeneous catalyst in the smooth and selective conversion of thioamides to the corresponding nitriles. The reaction was performed under mild conditions (room temperature, atmospheric pressure of oxygen) using only a gold loading of 0.35 mol %. Substituted aromatic or aliphatic nitriles were produced in very good to excellent yields and the catalyst could be easily recycled and reused over several consecutive cycles with no loss in dehydrosulfurization performances.
Numerical Representation of the Operating Behavior of a Crossflow Friction Turbomachine
Authors: Praß Julian , Riedel Jörg , Renz Andreas , Franke Jörg , Becker Stefan 
Published: May 2019

AbstractBased on the Tesla‐type turbomachinery principle of operation, a fan consisting of flat, round discs arranged in between two separate channels, which generate two air flows in opposite directions, is investigated. Simulations of a model with one disc as well as a five‐channel model at different grids were performed. With almost unthrottled operation, secondary flows could be determined at velocity magnitudes of up to 20 % of the mean main flow velocity, with secondary currents reaching up to 50 % in throttled operation. Besides high dissipation and recirculation, these secondary currencies are found to be capable of reducing the overall efficiency of the system. Thus, topic of further investigations is the potential of increasing efficiency by means of straighteners and geometric adaptions.
Atomically Dispersed Single Co Sites in Zeolitic Imidazole Frameworks Promoting High‐Efficiency Visible‐Light‐Driven Hydrogen Production
Authors: Ran Jingrun , Zhang Hongping , Qu Jiangtao , Xia Bingquan , Zhang Xuliang , Chen Shuangming , Song Li , Jing Liqiang , Zheng Rongkun , Qiao Shi‐Zhang 
Published: May 2019

AbstractAs photocatalysis technology could transform renewable and clean solar energy into green hydrogen (H2) energy through solar water splitting, it is regarded as the “Holy Grail” in chemistry field in the 21st century. Unfortunately, the bottleneck of this technique still lies in the exploration of highly active, cost‐effective, and robust photocatalysts. This work reports the design and synthesis of a novel zeolitic imidazole framework (ZIF) coupled Zn0.8Cd0.2S hetero‐structured photocatalyst for high‐performance visible‐light‐induced H2 production. State‐of‐the‐art characterizations and theoretical computations disclose that the interfacial electronic interaction between ZIF and Zn0.8Cd0.2S, the high distribution of Zn0.8Cd0.2S on ZIF, and the atomically dispersed coordinately unsaturated Co sites in ZIF synergistically arouse the significantly improved visible‐light photocatalytic H2 production performance.
Computational Design and Study of Artificial Selenoenzyme with Controllable Activity Based on an Allosteric Protein Scaffold
Authors: Li Siyuan , Xu Wanjia , Chu Shengnan , Ma Ningning , Liu Shengda , Li Xiumei , Wang Tingting , Jiang Xiaojia , Li Fei , Li Yijia , Zhang Dongmei , Luo Quan , Liu Junqiu 
Published: May 2019

AbstractThe establishment of new enzymatic function in an existing scaffold is a great challenge for protein engineers. In previous work, a highly efficient artificial selenoenzyme with controllable activity was constructed, based on a Ca2+‐responsive recoverin (Rn) protein. In this study, a design strategy combining docking, molecular dynamics, and MM‐PBSA is presented, to predict the catalytically active site of glutathione peroxidase (GPx) on the allosteric domain of Rn. The energy contributions of the binding hot spot residues are evaluated further by energy decomposition analysis to determine the detailed substrate recognition mechanism of Rn, which provides clear guidance for artificial enzyme design for improved substrate binding (Michaelis–Menten constant, Km).
Finite element analysis of a ball‐and‐socket artificial disc design to suppress excessive loading on facet joints: A comparative study with ProDisc
Authors: Choi Jisoo , Shin Dong‐Ah , Kim Sohee 
Published: May 2019

AbstractFacet arthrosis at surgical level was identified as major complication after total disc replacement (TDR). One of the reasons for facet arthrosis after TDR has been speculated to be the hypermobility of artificial discs. Accordingly, the artificial disc that can constrain the hypermobility of ball‐and‐socket type artificial discs and reduce loading on facet joints is demanded. The proposed artificial disc, which is named as NewPro, was constructed based on the FDA‐approved ProDisc but contained an interlocking system consisting of additional bars and grooves to control the range of motion (ROM) of lumbar spine in all anatomical planes. The three‐dimensional finite element model of L1 to L5 was developed first, and the biomechanical effects were compared between ProDisc and NewPro. The ROM and facet contact force of NewPro were significantly decreased by 42.7% and 14% in bending and by 45.6% and 34.4% in torsion, respectively, compared with the values of ProDisc, thanks to the interlocking system. In addition, the ROM and facet contact force could be selectively constrained by modifying the location of the bars. The proposed artificial disc with the interlocking system was able to constrain the intersegmental rotation effectively and reduce excessive loading on facet joints, although wear and strength tests would be needed prior to clinical applications.
Assembling 1D and Janus Nanobelts into 2D Aeolotropic Conductive Janus Membranes and 3D Double‐Walled Janus Tubes
Authors: Qi Haina , Ma Qianli , Xie Yunrui , Song Yan , Tian Jiao , Li Dan , Yu Wensheng , Wang Jinxian , Liu Guixia , Dong Xiangting 
Published: May 2019

AbstractTwo‐dimensional (2D) stratified Janus membranes (denoted as SJM) with double aeolotropic electrical conduction and simultaneous magnetism and fluorescence have been designed and constructed via electrospinning by using one‐dimensional (1D) nanobelts and Janus nanobelts as building blocks. The SJM is composed of two layers tightly bonded together. The top layer is a left‐right structured Janus membrane, the left part and right part possess aeolotropic electrical conduction, and the conductive directions are vertical, leading to double aeolotropic conduction. Moreover, red and green fluorescence in the two parts occurs under UV irradiation. The bottom layer is a non‐array magnetic membrane. By rolling the 2D SJM into a tube, either from left to right or top to bottom, three‐dimensional (3D) double‐walled Janus tubes with the Janus tube and the isotropic tube on the exterior and interior of the tube are obtained. The novel 3D double‐walled Janus tubes exhibit the same excellent performance as the 2D SJM. Thus, the structural transition from 1D nanobelts and Janus nanobelts utilized as building units to 2D double aeolotropic conductive Janus membrane then to 3D Janus tube is successfully realized.
Malicious node and malicious observer node detection system in MANETs
Authors: Durga Devi Saravanan , Rukmani Devi Dhamotharan 
Published: May 2019

SummaryMobile ad‐hoc networks (MANETs) are generally organized without infrastructure. Hence, they are moderately defenseless to malicious active and passive attackers that target to damage and trace the data transmission direction. Therefore, the malicious node (MN) (active attacker) and malicious observer node (MON) (passive attacker) detection system (MODS) is an important challenge in MANETs. It is quite easy to observe a node that induces malicious activities in other nodes, but it is very difficult to identify a node that passively observes and misuses network data. In this work, we propose context‐free grammar (CFG) and Fibonacci‐Pascal triangle (FPT) methods are in MANETs. Here, the MODS used CFG and FPT methods. The CFG is used to isolate the MN, and FPT conceals the real information of the mobile nodes. The data path is protected from mobile MONs by sending a secret message to the destination. The significant application of this scheme is enhancing military security. The simulation results demonstrate that the dynamic estimation of the quality‐of‐service metrics improves the 45% throughput in the network.
Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer
Authors: Kurte Kuldeep , Sanyal Jibonananda , Berres Anne , Lunga Dalton , Coletti Mark , Yang Hsiuhan Lexie , Graves Daniel , Liebersohn Benjamin , Rose Amy 
Published: May 2019

SummaryThis paper presents a scalable object detection workflow for detecting objects, such as settlements, from remotely sensed (RS) imagery. We have successfully deployed this workflow on Titan supercomputer and utilized it for the task of mapping human settlement at a country scale. The performance of various stages in the workflow was analyzed before making it operational. The workflow implemented various strategies to address issues such as suboptimal resource utilization and long‐tail effects due to unbalanced image workload, data loss due to runtime failures, and maximum wall‐time constraints imposed by Titan's job scheduling policy. A mean shift clustering–based static load balancing strategy was implemented, which partitions the image load such that each partition contained similar‐sized images. Furthermore, a checkpoint‐restart strategy was added in the workflow as a fault‐tolerance mechanism to prevent the data losses due to unforeseen runtime failures. The performance of the above‐mentioned strategies was observed in various scenarios, such as node failure, exceeding wall time, and successful completion. Using this workflow, we have processed an RS data set that has a spatial resolution of 0.31 m and is comprised of 685 675 km2 of area of the Republic of Zambia in under six hours using 5426 nodes of the Titan supercomputer.
Dynamic community detection method based on an improved evolutionary matrix
Authors: Wu Ling , Zhang Qishan , Guo Kun , Chen Erbao , Xu Chaoyang 
Published: May 2019

SummaryMost of networks in real world obviously present dynamic characteristics over time, and the community structure of adjacent snapshots has a certain degree of instability and temporal smoothing. Traditional Temporal Trade‐off algorithms consider that communities found at time t depend both on past evolutions. Because this kind of algorithms are based on the hypothesis of short‐term smoothness, they can barely find abnormal evolution and group emergence in time. In this paper, a Dynamic Community Detection method based on an improved Evolutionary Matrix (DCDEM) is proposed, and the improved evolutionary matrix combines the community structure detected at the previous time with current network structure to track the evolution. Firstly, the evolutionary matrix transforms original unweighted network into weighted network by incorporating community structure detected at the previous time with current network topology. Secondly, the Overlapping Community Detection based on Edge Density Clustering with New edge Similarity (OCDEDC_NS) algorithm is applied to the evolutionary matrix in order to get edge communities. Thirdly, some small communities are merged to optimize the community structure. Finally, the edge communities are restored to the node overlapping communities. Experiments on both synthetic and real‐world networks demonstrate that the proposed algorithm can detect evolutionary community structure in dynamic networks effectively.
Photophysics of Emissive tzC[Isothiazolo‐Cytidine] and tzU[Isothiazolo‐Uridine] Pyrimidine Analogues
Authors: Valverde Danillo , Sanches de Araujo Adalberto Vasconcelos , Canuto Sylvio , Borin Antonio Carlos 
Published: May 2019

AbstractThe tzC and tzU emissive properties were investigated with the MS‐CASPT2 method and CASSCF/CASPT2 protocol, with inclusion of solvent effects with the aid of the PCM and Sequential QM/MM, the Free Energy Gradient methods. Theoretical vertical emission energies and Stokes shifts, using the ASEC‐FEG method, are in a good agreement with the experimental data, within the expected accuracy of CASPT2 method. Their emissive properties can be understood in analogy to the photophysical behaviour of the canonical uracil and cytosine pyrimidine nucleobases, for which the twisting of the C5C6 bond is the key for understanding their ultrashort radiationless decay times. For both tzC and tzU, the computed photophysical deactivation pathway, shows that the bright state
goes directly to a minimum structure on its potential energy hypersurface
, from where no conical intersection with the ground state can be reached, due to the steric hindrance of the C5C6 position, which forms the bridge between the rings in both molecules. Solvent effects place the conical intersection in higher energy region, reinforcing their emissive nature.
Sustainable Development and the European Union Policy on Non‐Financial Information: An Italian Empirical Analysis
Authors: Muserra Anna Lucia , Papa Marco , Grimaldi Francesco 
Published: May 2019

AbstractThe aim of this study is to examine whether the European Union (EU) Directive on Non‐Financial Information (NFI) would be capable of increasing corporate transparency and sustainable development. To this end, the study reports the findings of 17 interviews with preparers and auditors about the content and reporting methods of NFI, as specified by the Italian regulation.The study finds that preparers and auditors favour many of the requirements introduced by the Italian legislature. In particular, the board's responsibility for NFI, the flexibility in the content and in the reporting method, and the audit of non‐financial statements are regarded as a fruitful approach to disciplining NFI. The study contributions are twofold. First, it extends the so far scant literature on the role of EU policy as a change agent for sustainable development. Second, the study identifies some features of the Italian regulation that may be regarded as fruitful ways to regulate NFI.
Fair end‐to‐end window‐based congestion control in time‐varying data communication networks
Authors: Kumari Suchi , Singh Anurag 
Published: May 2019

SummaryCommunication networks are time varying and, hence, fair sharing of network resources among the users in such a dynamic environment is a challenging task. In this context, a time‐varying network model is designed, and the shortest user's route is found. In the designed network model, an end‐to‐end window‐based congestion control scheme is developed with the help of internal nodes or router, and the end user can get implicit feedback (throughput). This scheme is considered as fair if the allocation of resources among users minimizes overall congestion or backlog in the networks. Window update approach is based on a multi‐class fluid model and is updated dynamically by considering delays (communication, propagation, and queuing) and the backlog of packets in the user's routes. Convergence and stability of the window size are obtained using a Lyapunov function. A comparative study with other window‐based methods is also provided.
Evaluation of R‐ (−) and S‐ (+) Clenbuterol enantiomers during a doping cycle or continuous ingestion of contaminated meat using chiral liquid chromatography by LC‐TQ‐MS
Authors: Dolores Hernández Mariana , Villaseñor Alma , Piña Olmos Sofia , Mercado Márquez Crisóforo , Bejarano Benjamín Velasco , Bonaparte María Eugenia Gonsebatt , López‐Arellano Raquel 
Published: May 2019

AbstractClenbuterol is known to improve competition resistance and muscular growth in athletes. Although it is an illegal drug, its use by farmers is widely spread to induce growth of their cattle. Thus, when clenbuterol is found in the urine of an athlete, there is doubt whether it was consumed with doping purposes or if it is due to the consumption of meat from a clenbuterol‐fed animal. Previous studies suggest that enantiomeric relationship of clenbuterol may be different according to the intake source. However, the enantiomeric relationship throughout a doping cycle or a continuous intake of contaminated meat has not yet been explored. In this first approximation, our aim was the development and validation of a sensitive and rapid method for the determination of S‐ (+) and R‐ (─) clenbuterol enantiomers to be used in a controlled study in rats fed for one week with contaminated meat or simulating a doping cycle. Enantiomers were measured using liquid chromatography coupled to mass spectrometry with a triple quadrupole analyzer (LC‐TQ‐MS) and were separated on an AGP Chiralpak column. The method was fully validated following the VICH (Veterinary International Conference on Harmonization guidelines) and was linear in the range of 12.5–800 pg/mL with a correlation coefficient of ≥0.98 for each enantiomer, and with a limit of quantitation and detection (LOQ and LOD) of 12.5 pg/mL and 6.5 pg/mL, respectively, for both enantiomers. The application of this method pointed out the shift of the enantiomeric relationship in urine from rats during the first five days of the doping cycle compared to those fed with contaminated meat. This finding can be of substantial importance in further doping studies.
Habitat fragmentation is associated with dietary shifts and microbiota variability in common vampire bats
Authors: Ingala Melissa R. , Becker Daniel J. , Bak Holm Jacob , Kristiansen Karsten , Simmons Nancy B. 
Published: May 2019

AbstractHost ecological factors and external environmental factors are known to influence the structure of gut microbial communities, but few studies have examined the impacts of environmental changes on microbiotas in free‐ranging animals. Rapid land‐use change has the potential to shift gut microbial communities in wildlife through exposure to novel bacteria and/or by changing the availability or quality of local food resources. The consequences of such changes to host health and fitness remain unknown and may have important implications for pathogen spillover between humans and wildlife. To better understand the consequences of land‐use change on wildlife microbiotas, we analyzed long‐term dietary trends, gut microbiota composition, and innate immune function in common vampire bats (Desmodus rotundus) in two nearby sites in Belize that vary in landscape structure. We found that vampire bats living in a small forest fragment had more homogenous diets indicative of feeding on livestock and shifts in microbiota heterogeneity, but not overall composition, compared to those living in an intact forest reserve. We also found that irrespective of sampling site, vampire bats which consumed relatively more livestock showed shifts in some core bacteria compared with vampire bats which consumed relatively less livestock. The relative abundance of some core microbiota members was associated with innate immune function, suggesting that future research should consider the role of the host microbiota in immune defense and its relationship to zoonotic infection dynamics. We suggest that subsequent homogenization of diet and habitat loss through livestock rearing in the Neotropics may lead to disruption to the microbiota that could have downstream impacts on host immunity and cross‐species pathogen transmission.