bluuebunny/crossref_metadata_2025 huggingface dataset:
Voice of urban park visitors: exploring destination attributes influencing behavioural intentions through online review mining
Authors: Ma Ke , Jiang Beibei
Published: November 2020

In this paper, we will identify the destination attributes of a popular urban park and investigate their specific roles in forming visitors' behavioural intentions using text mining approaches. The principles of natural language processing and psychometric procedure were combined to achieve the objectives of the research. Initially, park visitors’ online reviews were collected and analysed to identify possible latent dimensions for questionnaire design. Then, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used for crucial factor selection and verification. Lastly, a structural equation model (SEM) was constructed to investigate the impacts of these park attributes on the behavioural intention of visitors.
Demographic considerations and food security in Nigeria
Authors: Owoo Nkechi S.
Published: November 2020

Close to 14 million people in Nigeria, including children, are malnourished. I hypothesize that demographic considerations play an important role in food insecurity within Nigerian households. Using data from three waves of the World Bank’s Living Standard Measurement Survey for Nigeria, I illustrate spatial patterns of food security in the country. Using fixed effects regressions, I also show that, at the household level, larger households have worse food security outcomes and are more likely to report being food insecure. Children from large households also suffer worse malnutrition outcomes. This relationship is significant in urban Nigeria as well, with implications for sustainable urban planning and family planning to address unmet need for contraceptives.
Hot versus cold behavior in centipede games
Authors: García-Pola Bernardo , Iriberri Nagore , Kovářík Jaromír
Published: November 2020

There is a long-standing unresolved debate in game theory and experimental economics regarding the behavioral equivalence of the direct-response method (hot play) and the strategy method (cold play). Using a unified experimental framework, we compare behavior elicited via both methods in four different Centipede Games that differ in their incentives to take or pass, in the evolution of those incentives over decision nodes, and in the asymmetry of the incentives across the two player roles. Out of the four Centipede Games, we find that both methods yield statistically different behavior in two of them, while in the remaining two we cannot reject the same behavior across the hot and cold methods. Whenever the behavior diverges, hot play consistently makes individuals stop earlier. These findings should shift the question from whether both methods are generically behaviorally equivalent to under which conditions they are (not) and why.
Housing Values and the Residential Settlement of Migrants: Zooming in on Neighbourhoods in Italian Provincial Capitals
Authors: Kalantaryan Sona , Alessandrini Alfredo
Published: November 2020

This study looks at the relationship between housing values (prices and rents) and the residential settlement of migrants in different neighbourhoods in Italian provincial capitals. We exploit here the high spatial resolution dataset on the settlement of migrants developed within the Data for Integration (D4I) project. The D4I information on resident population characteristics was merged with a dataset on housing values for civilian and economic residential units using boundaries defined by local housing market characteristics. The results suggest that: (1) more diverse neighbourhoods are also those with relatively lower housing values; (2) the relationship between housing values and the concentration of migrants is non-linear; and (3) the sign and significance of the association varies significantly depending on the origin of migrants.
How Good Are Modern Spatial Libraries?
Authors: Pandey Varun , van Renen Alexander , Kipf Andreas , Kemper Alfons
Published: November 2020

Many applications today like Uber, Yelp, Tinder, etc. rely on spatial data or locations from its users. These applications and services either build their own spatial data management systems or rely on existing solutions. JTS Topology Suite (JTS), its C++ port GEOS, Google S2, ESRI Geometry API, and Java Spatial Index (JSI) are some of the spatial processing libraries that these systems build upon. These applications and services depend on indexing capabilities available in these libraries for high-performance spatial query processing. In this work, we compare these libraries qualitatively and quantitatively based on four different spatial queries using two real world datasets. We also compare these libraries with an open-source implementation of the Vantage Point Tree—an index structure that has been well studied in image retrieval and nearest-neighbor search algorithms for high-dimensional data. We found that Vantage Point Trees are very competitive and even outperform the aforementioned libraries in two queries.
Preliminary results about the efficacy of abamectin trunk injection against the walnut husk fly (Rhagoletis completa)
Authors: Kiss Máté , Hachoumi Imane , Nagy Viktória , Ladányi Márta , Gutermuth Ádám , Szabó Árpád , Sörös Csilla
Published: November 2020

The walnut husk fly (Rhagoletis completa) is one of the main pests affecting common walnut in both Europe and America. This work examines the effects of abamectin on the development of walnut husk fly larvae by injecting the product Vertimec 1.8 EC (Syngenta) into the trunks of walnut trees in Hungary. In the case of properly injected trees, the infection rate was negligible and the abamectin content in the husk samples ranged between 1.54 and 3.00 ng/g; controls show a very high (> 90%) infestation rate and an abamectin content under the detection limit. Abamectin residue measured in walnut kernel did not exceed the maximum residue limit; moreover, the active ingredient content was below the detection limit (0.0003 mg/kg) in all the collected kernel samples. Our results confirm that trunk injection is a viable method for walnut pest control.
Water and energy savings from greywater reuse: a modelling scheme using disaggregated consumption data
Authors: Knutsson J. , Knutsson P.
Published: November 2020

Municipal drinking water supplies are under great stress globally, and one way to mitigate the problems is the reutilization of wastewater in various settings. In this paper, a greywater reuse scheme and the impact of system design and configuration on water and energy savings are investigated. The objective of the paper was to investigate the impact of hydraulic design and performance of a greywater treatment and reuse system on water and energy savings. A simulation model was created based on real, disaggregated water consumption data that predicts the reuse potential. Three scenarios were investigated; (1) greywater collection from the bathroom and reuse for toilet flushing, (2) greywater collection from bathroom sinks and showers, and reuse as hot water for sinks and showers, and (3) a combination of (1) and (2) where greywater collection from bathroom sinks and showers is used for toilet flushing, sinks and shower. The results indicate hot water reductions between 55.6 and 58.2%, while cold water reductions ranged from 5.8 to 30.6%. Reductions in energy for producing hot water between 43.5 and 46.8% were observed. Recommendations per connected user for hydraulic design ranged from 0.033 to 0.1 dm3 min−1, 3 dm3, and 0.7–10 dm3 for treatment capacity, collection and holding tank volume.
A cross-sectional study on monitoring depth of anesthesia using brain function index among elective laparotomy patients
Authors: Aryafar Mohamad , Bozorgmehr Rama , Alizadeh Reza , Gholami Farshid
Published: November 2020

ABSTRACT

Background:

Consciousness during surgical procedure is associated with adverse psychological effects and postoperative complications. The aim of this study is to evaluate the depth of anesthesia using brain function index (BFI) among patients undergoing elective laparotomy.

Materials and methods:

In this cross-sectional study, 256 patients referred to (XXX) for elective laparotomy were included. BFI values using published studies were used to measure the depth of anesthesia in response to propofol, atracurium and propofol induction: deeply anesthetized (BFI<40), general anesthesia (40 < BFI<60), lightly anesthetized (60 < BFI<80) and (BFI<80) awake. These were evaluated at the time of surgical incision and 15, 30 and 60 min after surgery. Statistical analysis was performed using SPSS v22.

Results:

The average dose of propofol administered/propofol infusion was 111.67 ± 78.87 and 104.88 ± 76.20, respectively, atracurium 67.04 ± 40.06 and fentanyl was 33.61 ± 9.137. Deep anesthesia and light anesthesia were significantly different at various time intervals, p < 0.05, respectively. However, consciousness was not significantly different at different time interval in exception to the fentanyl drug administration.

Conclusion:

The outcomes of our study show that brain function index might be helpful to determine the level of anesthesia among patients undergoing elective laparotomy. However, further comparative studies, including other parameters are required.

Highlights:
Morbidity Among Athletes Presenting for Medical Care During 3 Iterations of an Ultratrail Race in the Himalayas
Authors: Dawadi Suvash , Basyal Bikash , Subedi Yogesh
Published: November 2020

Introduction

Although ultratrail races are increasing in popularity, there is a dearth of data regarding illnesses and medical care at these events. Data about injuries and illnesses for races taking place in the Himalayas, where the nearest medical facility can be hundreds of miles away, are even harder to find. This study aimed to describe the injuries and illnesses befalling the participants of a 7-stage 212 km (132 mi) trail race at high altitude.

Methods

Ethical approval was obtained from Nepal Research Health Council. A retrospective study of the record of medical encounters among the 100 participants competing in the Manaslu trail race in Nepal from 2014 to 2016 was performed. Diagnoses were classified into various categories. Informed consent was taken from all participants.

Results

Acute diarrhea was the most common ailment reported among the participants (18%), followed closely by musculoskeletal problems (17%). Altitude illness made up 6% of care provided. Approximately 35% of the athletes were using acetazolamide as prophylaxis for high altitude illnesses. The 1 case needing evacuation in the 3 iterations was high altitude pulmonary edema.

Conclusions

Ultratrail races at high altitude pose a challenge in terms of provision of medical care in a remote setting with limited resources. However, most of the illnesses are minor in nature and easily managed by the race doctor. Knowledge of common illnesses among travelers to the area can help aid in preparation and provision of proper care, especially in remote settings with limited resources.
Impacts of Topographic Relief and Crustal Heterogeneity on Coseismic Deformation and Inversions for Fault Geometry and Slip: A Case Study of the 2015 Gorkha Earthquake in the Central Himalayan Arc
Authors: Li Shaoyang , Barnhart William D.
Published: November 2020

Fault source models inverted from surface displacement measurements are a common tool to contextualize the seismotectonic significance of earthquakes. However, these models commonly invoke a simplified homogeneous elastic half‐space (flat Earth) description of Earth, which may bias the resulting fault geometries and slip distributions in the presence of spatially varying Earth's elastic structure and topography. Here, we developed both forward and inverse three‐dimensional finite‐element models with planar faults to systematically assess the impacts of topography, crustal elastic structure, and fault geometry on surface deformation and earthquake source inversions, with a focus on the 2015 Gorkha, Nepal earthquake. Our forward models with fixed fault slip confirm the impacts of topography and crustal heterogeneity on surface deformation. These impacts, however, contribute only maximally ∼10% of the total surface displacement, and the fault depth and dip dominantly control the coseismic deformation for the Gorkha case. When using homogeneous half‐space models to invert the synthetic displacement fields generated by forward finite‐element models, we find that ignoring crustal heterogeneity primarily biases inferred dip angle, while ignoring relief primarily biases inferred fault depth. Our inversions based on finite‐element models suggest that topography and crustal heterogeneity introduce negligible bias on recovering the Gorkha line of sight observations. Fault dip angle and depth can systematically trade off with slip area and slip magnitude, regardless of the presence of relief and crustal heterogeneities. Taken together, our findings highlight the importance of fault geometry on inverted fault kinematics with geodetic observations in the central Himalayan arc.
Impact of Temporal Variation of Chlorophyll‐Specific Absorption on Phytoplankton Phenology Observed From Ocean Color Satellite: A Numerical Experiment
Authors: Lee Zhongping , Shang Shaoling , Zhang Shuai , Wu Jinghui , Wei Guomei , Wu Xiuling
Published: November 2020

We designed a numerical experiment to characterize the impact of a dynamic chlorophyll‐specific absorption coefficient () on the retrieved temporal pattern of chlorophyll concentration (Chl) from ocean color (Rrs). It is found that, even for oceanic waters, without consideration of the temporal variation of , Chl derived from a synthesized annual Rrs using the “standard” ocean color algorithms will generate false dynamic patterns of Chl or questionable phytoplankton phenology. For instance, for an annual Chl with spring and fall blooms, the inverted Chl from Rrs could show a delay of spring bloom by ∼1–3 weeks, along with a perceived earlier appearance of fall bloom or a false bloom during summer. These results highlight the complex relationships between Rrs (an optical property) and Chl (a biological property) in aquatic environments, in particular, the importance and necessity to characterize and understand the temporal variations of .
LINC00174 is a novel prognostic factor in thymic epithelial tumors involved in cell migration and lipid metabolism
Authors: Tito Claudia , Ganci Federica , Sacconi Andrea , Masciarelli Silvia , Fontemaggi Giulia , Pulito Claudio , Gallo Enzo , Laquintana Valentina , Iaiza Alessia , De Angelis Luciana , Benedetti Anna , Cacciotti Jessica , Miglietta Selenia , Bellenghi Maria , Carè Alessandra , Fatica Alessandro , Diso Daniele , Anile Marco , Petrozza Vincenzo , Facciolo Francesco , Alessandrini Gabriele , Pescarmona Edoardo , Venuta Federico , Marino Mirella , Blandino Giovanni , Fazi Francesco
Published: November 2020

Long non-coding RNAs are emerging as new molecular players involved in many biological processes, such as proliferation, apoptosis, cell cycle, migration, and differentiation. Their aberrant expression has been reported in variety of diseases. The aim of this study is the identification and functional characterization of clinically relevant lncRNAs responsible for the inhibition of miR-145-5p, a key tumor suppressor in thymic epithelial tumors (TETs). Starting from gene expression analysis by microarray in a cohort of fresh frozen thymic tumors and normal tissues, we identified LINC00174 as upregulated in TET. Interestingly, LINC00174 expression is positively correlated with a 5-genes signature in TETs. Survival analyses, performed on the TCGA dataset, showed that LINC00174 and its associated 5-genes signature are prognostic in TETs. Specifically, we show that LINC00174 favors the expression of SYBU, FEM1B, and SCD5 genes by sponging miR-145-5p, a well-known tumor suppressor microRNA downregulated in a variety of tumors, included TETs. Functionally, LINC00174 impacts on cell migration and lipid metabolism. Specifically, SCD5, one of the LINC00174-associated genes, is implicated in the control of lipid metabolism and promotes thymic cancer cells migration. Our study highlights that LINC00174 and its associated gene signature are relevant prognostic indicators in TETs. Of note, we here show that a key controller of lipid metabolism, SCD5, augments the migration ability of TET cells, creating a link between lipids and motility, and highlighting these pathways as relevant targets for the development of novel therapeutic approaches for TET.
Quantitative description of surface adsorption of surfactant in aqueous solution without the Gibbs equation
Authors: Ren Qing , Chen Feiwu
Published: November 2020

The molecular area of a surfactant in aqueous solution at saturation was first calculated without the Gibbs equation.
A chelate like no other: exploring the synthesis, coordination chemistry and applications of imidoyl amidine frameworks
Authors: Kitos Alexandros A. , Mavragani Niki , Murugesu Muralee , Brusso Jaclyn L.
Published: November 2020

Exploration of imidoyl amidine based materials in organic and inorganic chemistry demonstrates the vast applicability of these highly versatile frameworks. The account provides a critical overview of research progress on the chemistry and complexation of these ligands.
Medicinal chemistry updates on quinoline- and endoperoxide-based hybrids with potent antimalarial activity
Authors: Uddin Amad , Chawla Meenal , Irfan Iram , Mahajan Shubhra , Singh Shailja , Abid Mohammad
Published: November 2020

The resistance of conventional antimalarial drugs against the malarial parasite continues to pose a challenge to control the disease.
Material design strategies to improve the performance of rechargeable magnesium–sulfur batteries
Authors: Nguyen Dan-Thien , Horia Raymond , Eng Alex Yong Sheng , Song Seung-Wan , Seh Zhi Wei
Published: November 2020

This review encompasses the underlying working principles behind the most critical approaches to solve challenging issues in Mg–S batteries.
Developing D–π–D hole-transport materials for perovskite solar cells: the effect of the π-bridge on device performance
Authors: Ou Yangmei , Sun Anxin , Li Haibei , Wu Tai , Zhang Dongyang , Xu Peng , Zhao Rongmei , Zhu Liqiong , Wang Runtao , Xu Bo , Hua Yong , Ding Liming
Published: November 2020

Three cost-effective D–π–D hole-transport materials were synthesized for use in perovskite solar cells. The (FAPbI3)0.85(MAPbBr3)0.15 and CsPbI2Br solar cells with SY3 gave PCEs of 19.08% and 13.41%, respectively.
Anisotropy-induced directional self-transportation of low surface tension liquids: a review
Authors: Soltani Mohammad , Golovin Kevin
Published: November 2020

The passive transportation of liquids is comprehensively reviewed specifically for low surface tension fluids.
Substantially improved energy storage capability of ferroelectric thin films for application in high-temperature capacitors
Authors: Pan Zhongbin , Ding Jie , Hou Xu , Shi Songhan , Yao Lingmin , Liu Jinjun , Li Peng , Chen Jianwen , Zhai Jiwei , Pan Hui
Published: November 2020

The BNTZ–0.09BFO thin film shows superior energy density of 124 J cm−3 and efficiency of 81.9%, excellent fatigue endurance (109 cycles) and thermal stability (−100 °C to 200 °C).
Delivery of Cas13a/crRNA by self-degradable black phosphorus nanosheets to specifically inhibit Mcl-1 for breast cancer therapy
Authors: Yue Huahua , Huang Ru , Shan Yuanyue , Xing Da
Published: November 2020

The constructed Cas13a/crRNA complex is delivered into cytoplasm by PBP via endocytosis, followed by endosomal escape based on biodegradation of the PBP, and efficiently knocked down Mcl-1 at transcriptional level for breast cancer therapy.
Effect of thiophene/furan substitution on organic field effect transistor properties of arylthiadiazole based organic semiconductors
Authors: Pachariyangkun Anna , Suda Masayuki , Hadsadee Sarinya , Jungsuttiwong Siriporn , Nalaoh Phattananawee , Pattanasattayavong Pichaya , Sudyoadsuk Taweesak , Yamamoto Hiroshi M. , Promarak Vinich
Published: November 2020

This study determines that furan could display comparable charge transport properties to its thiophene analogue. The OFET device employing furan-substituted benzothiadiazole as the channel layer showed a mobility (μmax) of 0.0122 cm2 V−1 s−1.
Unit dual quaternion‐based pose optimisation for visual runway observations
Authors: Brambley Galen , Kim Jonghyuk
Published: November 2020

This study addresses the pose estimation problem of an aircraft runway using visual observations in a landing approach scenario. The authors utilised the fact that the geodetic coordinates of most runways are known precisely with highly visible markers. Thus, the runway observations can increase the level of situational awareness during the landing approach, providing additional redundancy of navigation and less reliance on global positioning system. A novel pose optimisation algorithm is proposed utilising unit dual quaternion for the runway corner observations obtained from a monocular camera. The estimated runway pose is further fused with an inertial navigation system in an extended Kalman filter. An open‐source flight simulator is used to collect and process the visual and flight dataset during the landing approach, demonstrating reliable runway pose estimates and the improved inertial navigation solution.
Role of the magnetic field in the fragmentation process: the case of G14.225-0.506
Authors: Añez-López N. , Busquet G. , Koch P. M. , Girart J. M. , Liu H. B. , Santos F. , Chapman N. L. , Novak G. , Palau A. , Ho P. T. P. , Zhang Q.
Published: November 2020

Context. Magnetic fields are predicted to play a significant role in the formation of filamentary structures and their fragmentation to form stars and star clusters.

Aims. We aim to investigate the role of the magnetic field in the process of core fragmentation toward the two hub–filament systems in the infrared dark cloud G14.225-0.506, which present different levels of fragmentation.

Methods. We performed observations of the thermal dust polarization at 350 μm using the Caltech Submillimeter Observatory (CSO) with an angular resolution of 10″ toward the two hubs (Hub-N and Hub-S) in the infrared dark cloud G14.225-0.506. We additionally applied the polarization–intensity-gradient method to estimate the significance of the magnetic field over the gravitational force.

Results. The sky-projected magnetic field in Hub-N shows a rather uniform structure along the east–west orientation, which is roughly perpendicular to the major axis of the hub–filament system. The intensity gradient in Hub-N displays a single local minimum coinciding with the dust core MM1a detected with interferometric observations. Such a prevailing magnetic field orientation is slightly perturbed when approaching the dust core. Unlike the northern Hub, Hub-S shows two local minima, reflecting the bimodal distribution of the magnetic field. In Hub-N, both east and west of the hub–filament system, the intensity gradient and the magnetic field are parallel whereas they tend to be perpendicular when penetrating the dense filaments and hub. Analysis of the |δ|- and ΣB-maps indicates that, in general, the magnetic field cannot prevent gravitational collapse, both east and west, suggesting that the magnetic field is initially dragged by the infalling motion and aligned with it, or is channeling material toward the central ridge from both sides. Values of ΣB ≳ 1 are found toward a north–south ridge encompassing the dust emission peak, indicating that in this region magnetic field dominates over gravity force, or that with the current angular resolution we cannot resolve a hypothetically more complex structure. We estimated the magnetic field strength, the mass-to-flux ratio, and the Alfvén Mach number, and found differences between the two hubs.

Conclusions. The different levels of fragmentation observed in these two hubs could arise from differences in the properties of the magnetic field rather than from differences in the intensity of the gravitational field because the density in the two hubs is similar. However, environmental effects could also play a role.
Structure of a protective epitope reveals the importance of acetylation of
Neisseria meningitidis
serogroup A capsular polysaccharide
Authors: Henriques Pedro , Dello Iacono Lucia , Gimeno Ana , Biolchi Alessia , Romano Maria Rosaria , Arda Ana , Bernardes Gonҫalo J. L. , Jimenez-Barbero Jesus , Berti Francesco , Rappuoli Rino , Adamo Roberto
Published: November 2020

Significance

The elucidation of structural epitopes is key to understanding the mechanisms of action of vaccines. Here a multidisciplinary approach was used to map the glycan epitope of
Neisseria meningitidis
serogroup A capsular polysaccharide, a component of marketed vaccines, with a monoclonal antibody capable of triggering human complement-mediated bactericidal killing. The epitope was found to be composed of a trisaccharide motif, in which acetylation moieties play a pivotal role in binding. This study will guide the design of improved vaccines and therapeutics.
A dynamic model of complexly mechanoresponsive chain-poly[n]-catenations in double-network polyampholyte hydrogels
Authors: Xing Ziyu , Lu Haibao , Fu Yong Qing
Published: November 2020

Polyampholytes have been widely used to improve mechanical performance of double-network (DN) hydrogels, however, the complex mechanisms of electric charge reactions and chain catenations have not been well understood. In this study, a collective and cooperative model is developed to describe the dynamics and constitutive relationships of complexly mechanoresponsive chain-poly[n]-catenations in polyampholyte DN hydrogels. The freely jointed chain (FJC) model and Flory–Huggins theory are firstly employed to formulate mechanochemical behaviors of the DN hydrogels, in which the stretchable network undergoes a folding-to-unfolding transition and the brittle one undergoes a reversibly mechanochemical transition. The worm like chain (WLC) model is then introduced to describe the chain-poly[n]-catenations, of which the strong and weak ionic bonds have been modeled based on the entanglement and dangling effects, respectively. Finally, a free-energy equation is developed to describe their collective and cooperative dynamics. Effectiveness of the newly proposed model is verified by applying it to predict the experimental results of the polyampholyte DN hydrogels reported in literature.
Retraction: Machine learning algorithms for prediction of dyslexia using eye movement (J. Phys.: Conf. Ser.
1427 012012)
Authors: Chakraborty Vani , Sundaram Meentachi
Published: November 2020

This article has been retracted by IOP Publishing on 06 November 2020 due to plagiarism from "Automatic detection of developmental dyslexia from eye movement data" (the "original work"), Peter Raatikainen, Master's Thesis in Information Technology, 2019 https://jyx.jyu.fi/bitstream/handle/123456789/64482/URN%3aNBN%3afi%3ajyu-201906103105.pdf?sequence=1%26isAllowed=y.

The original author's supervisor notified IOP Publishing of this issue on 29th October 2020 and alerted the Publisher of the issue. IOP Publishing has investigated and agrees that the IOP Publishing article has inappropriately used ideas, content and figures from the original work. The authors of the IOP Publishing article have confirmed the inappropriate use of the content and they agree to this retraction.

Retraction published: 06 November 2020
Modelling and Implementation of Distributed Rain Water Storage and Utilization
Authors: Hu Bingyi , Xing Ke , Gao Weihe , Liu Hainan , Li Hengyong
Published: November 2020

Storing rainwater during a rainfall and utilizing it later in a city is a useful way to solve water-logging of a city. This concept is known as spongy city. An application of this concept can be one of a concentrated water storage such as a lake and distributed storage units similar to numerous connected spongy blocks. In this paper, the distributed system is adapted, and provide a method of modelling and a simulation. This model can show the dynamic result of water logging deduced from given rain quantity, pipe dewatering rate and storage volume. It also serves as an early warning for potential dewatering of heavy rain which maintains the balance between avoiding water-logging and full water level in the water storage. The model can be used to calculate the capacity of water storage required for a set maximal rain quality. Consequently, the model is helpful in forecasting the status of water-logging and providing a suggested water storage design. In order to test the feasibility of a system based on the above modelling, a front-end device is designed. It can cooperate with a managing sever to plan the dewatering. The findings of the simulation indicate that the model is helpful and feasible.
Modeling Free Surface Elevation around Tandem Piers of the Longitudinal Bridge by Computational Fluid Dynamics
Authors: Qi Hongliang , Zhang Chenguang , Zheng Junxing
Published: November 2020

This study explores the impacts of tandem piers of longitudinal bridges on the free surface elevation of river flow by computational fluid dynamics(CFD). Water flow around a single pier is simulated to develop the Kármán vortex street model, which also verifies the effectiveness of CFD simulations in this study. Then, the influence mechanism of span on the free surface elevation was analyzed in the light of the streamline of flow at y=0.4m in different times. If the span is shorter than 20D, including20D, the superposition of Kármán Vortex Streets obviously affect the fluctuation of streamline. The leap height of the first pier of different models is very close. If the span is shorter than 40D, the leap height decreases by degrees and finally reaches stability. When the span is greater than 40D, the leap height from the 2nd pier to the last one is close.
The Establishment of the Logical Model of the Internet of Things Application System
Authors: Song Yuxiang , Li Yijie
Published: November 2020

In order to build the Internet of things system, it is necessary to establish a feasible and reasonable mathematical model. Based on the application of embedded technology, Internet technology, communication technology and other scientific and technological methods of Internet of things system, a complete logic model of Internet of things application system is established. The logical model is the theoretical basis for the formation of the Internet of things system. It is the supplement and improvement of Internet of things application system. It is the collection and induction of discrete Internet of things. Practice has proved that the establishment of the logical model of the Internet of things system makes up for the deficiency of the application technology of the Internet of things and makes the application system of the Internet of things more perfect. It realizes the real-time sharing of environment and state information between the objects of the Internet of things, and realizes the collection, transmission, processing and application of the Internet of things system.
Mechanism Modeling and Simulink Simulation Analysis of Digital Hydraulic Cylinder
Authors: Ma Changlin , Li Feng , Hao Lin , Han Yangyang
Published: November 2020

Based on the structure of the digital hydraulic cylinder and the principle of closed-loop control, the mechanism models of the stepper motor and the spool mechanism, the three-way spool valve, and the hydraulic cylinder are established respectively, and the overall mathematical model of the digital hydraulic cylinder is synthesized, and its Simulink simulation model is constructed. The stability and positioning accuracy of the system are analyzed. The results show that the error of this type of digital hydraulic cylinder is 0.0142mm for 1mm action and 0.0182mm for 2mm action. At the same time, it is found that the fluctuation of oil supply pressure will cause system jitter and reducing the frequency of stepper motor can improve the positioning accuracy of the cylinder.
Dynamic Three-Way Concept Learning Model Based on PS-Rough Set
Authors: Zhang Chunying , Gao Ruiyan , Liu Lu , Qiao Peng , Feng Xiaoze , Ren Jing
Published: November 2020

The PS-rough set adds the dynamic characteristics of the elements moving in and moving out of the set, and introduces it into the three-way concept learning, and establishes the dynamic three-way concept learning model based on the PS-rough set. Firstly, the related definitions of dynamic three-way concept learning are introduced, and the calculation method of conditional probability function is given. Secondly, the related dynamic characteristics of the dynamic three-way concept learning model are proposed and proved, and the dynamic three-way concept learning algorithm is given, and the validity of the algorithm are verified by an example. Finally, the dynamic three-way concept learning model solves the dynamic change problem of the sample subset, reduces the computation of the probability of the condition, and gives a simple three-way concept division method.
Data Computing Model and Software Development for Construction Setting-out of Line Curve
Authors: Zhou Mingduan , Ma Bohong , Wang Miao , Zhang Wenyao , Wang Binbin
Published: November 2020

In view of the fact that the line design is often a cross combination of multi-curves, it is difficult to meet the middle-pile surveying data computing of multi-curves combination for the existing tool software. In this paper, a line pile-point surveying data computing software (LPLS) suitable for multi-curves combination is designed and developed, and the flowchart of software design and development is given. Through the computing and analysis of engineering examples, the main functional modules of LPLS software are verified, and the correct and reliable computing results are obtained.
Analysis and Prediction of Pulmonary Tuberculosis Using an ARIMA Model in Shaanxi Province, China
Authors: Yang Cong , Yang Yali , Li Zhiwei , Li Yan
Published: November 2020

An analysis and prediction for the incidence of tuberculosis (TB) is particularly important since TB still has a high fatality rate in the world. However, this prediction is often influenced by inaccurate forecasting ways. We used data from 364,762 reported TB cases between January 2005 and December 2015 in Shaanxi Province, China. The known number of cases in 2016 was used to assess the accuracy of the model’s predictions. Through all aspects of analysis and comparison, the ARIMA (0, 1, 2) (0, 1, 1)12 were the most model. In the fitting dataset, for the ARIMA (0, 1, 2) (0, 1, 1)12 model, RMSE, MAPE, MAE and MER were 0.7667, 6.7810, 6.04944 and 0.06836, respectively; And in the forecasting dataset were 0.32808, 6.01834, 0.2899 and 0.0615, respectively. The model can predict the seasonal changes and trends of tuberculosis in the Shaanxi province’s population.
The Prediction of PM2.5 Concentration with an Intelligent Hybrid Model
Authors: Liu Xin , Zhang Xiaoxi , Zhao Xuejing
Published: November 2020

The objective of this work was to propose a hybrid model to predict the concentration of PM2.5 in three cities of China. PM2.5 is one of the most important pollution worldwide, therefore effective prevention and control are beneficial to human’s production and life. A hybrid model, CEEMD-MFO-SVR-GRA-BPNN, was proposed to predict the concentration of PM2.5. The proposed model is the combination of (1) complementary ensemble empirical mode decomposition (CEEMD) to decompose the original PM2.5 concentration data; (2) support vector regression (SVR) to give a regressed prediction model in which parameters was optimized via moth-flame optimization algorithm (MFO); (3) grey relational analysis (GRA) to select atmospheric factors with distinguished effect on PM2.5; and (4) back propagation neural network (BPNN) to reduce the forecasting residual. The hybrid model was evaluated in three cities, Guiyang, Lijiang and Guangzhou of China, in which the environments and geographical locations are different. The implementation of the proposed model and well-known CEEMD-MFO-SVR, CEEMD- WOA-SVR, EEMD-MFO-SVR, EMD-MFO-SVR and MFO-SVR, BPNN-meteorology models, were compared. The results show that the prediction of the proposed hybrid model is more accurate than the compared models.
Application of a Twin Model for Monitoring and Predictive Diagnosis of Calle Calle Bridge in Chile
Authors: Real J , Márquez M , Colomer E , Labrado M , Unión A
Published: November 2020

This study has developed a twin model tool that allows evaluating the current state and future behaviour of the Calle Calle bridge in Chile. The development of this twin model began with a finite element numerical model that was subsequently calibrated with data from sensors installed on the bridge. ANSYS APDL software was used to represent the structure by means of finite elements. The parameters captured by the sensors were the inclination and settlement in the abutments, the instantaneous deflection, and the proper frequencies. Calibration was an iterative process that sought to obtain a model that behaved similarly to the real structure. The twin model developed describes the reality of the structure allowing the simulation of future scenarios, thus improving the efficiency of management tasks, and thus achieving predictive maintenance. From the analysis carried out, it is concluded that the structure is in an acceptable state, requiring some maintenance. A great sensitivity of the bridge beams was also observed, which did not meet the current design criteria.
A Label-Enhanced Text Classification Model
Authors: Liu Yingjie , Liu Xueyang , Hu Wenhui , Zhang Long , Zhang Minghui
Published: November 2020

In the field of text classification, most of the previous work only uses one-hot labels, ignoring the correlations between labels. The paper proposes a novel label-enhanced text classification model, which utilizes the semantic correlation between sentences and category labels in the Natural Language Processing (NLP) classification task to integrate label information. We measure the similarity between instance and the category with the correlations among the labels. We test the proposed model on text classification tasks in two levels: text classification (document level) and sentiment analysis (sentence level). Experimental results show that the label-enhanced text classification model achieves great performance in multiple text classification tasks. In addition, experiment results on the unbalanced datasets show that our model is able to mitigate the impact of unbalanced data in classification tasks.
The Interactive Effect of Science and Technology Finance Development and Regional Economic Growth in the Yangtze River Economic Belt: Analysis Based on Panel Vector Autoregressive (PVAR) Model of Interprovincial Data
Authors: Shen Yiting
Published: November 2020

The interaction effects between science and technology finance development and regional economic growth have received academic and governmental attention in recent years. Based on the data of 11 provinces and cities in the Yangtze River Economic Belt from 2008 to 2017, this paper constructs a panel vector autoregressive (PVAR) model, and analyzes the direct and indirect relationship between Sci-tech finance input, Sci-tech finance output and regional economic growth through Gaussian Mixed Model (GMM) estimation and impulse response function. The study finds that: (1) The regional economic development level has a fluctuant effect on the support of science and technology finance development. (2) The enhancement mechanism of Sci-tech finance output is autonomous. (3) Sci-tech finance output and economic development level have a positive impact on each other. (4) Sci-tech finance output contributes more to economic development than Sci-tech finance input, and its effect is sustainable in the long run. Some practical proposals are put forward on the basis of the conclusions above.
Machine Learning Model for a Dynamic Path Planning Problem
Authors: Huu Thong Tran , Duc Duy Nguyen , Nananukul Narameth
Published: November 2020

Due to an advancement in Industry 4.0 technology, various autonomous systems have been developed in order to increase the operational efficiency. This paper considers an application of Industry 4.0 technology to an autonomous transportation operation. The paper focuses on applying a machine learning technique to a dynamic path planning problem where real-time randomized obstacle locations are considered. The routes or the solutions from the dynamic path planning problem are determined by an A-star algorithm, which are then used to build machine learning models based on an artificial neural network. The models were developed to discover the relationship between the input and output of the dynamic path planning problem. The structure of the network which is defined by the number of intermediate layers and the number of nodes is provided, where the overall accuracy is used to evaluate the setting efficiency. The proposed methodology was tested with a problem that consists of 7 types of paths, and the number of randomized obstacles fluctuated from 1 to 8. The paths were generated based on a layout of a consumer product warehouse. The proposed model succeeded in predicting the robot paths with 98.5% prediction accuracy.
Approximate Analytical Pricing of European Options under the Non-affine Stochastic Volatility Model
Authors: Yao Yuhang , Sun Youfa , Liang Xingyin
Published: November 2020

The non-affine stochastic volatility model has attracted increasing attention in recent years, due to its excellent performance in describing the nonlinear characteristics of asset price path. However, the fact that there is no close-form of option pricing formula under this model, restricts its use badly. To remove this restriction, two approximate analytical option pricing approaches are proposed in this paper, that is, the piecewise first-order Taylor expansion method and the perturbation-based asymptotic expansion method of implied volatility. The first method is used to derive an approximate characteristic function, then based on which the Fourier-Cosine expansion method calculates the European option price. In the second way, implied volatility of the European option price is asymptotically expanded around non-affine term of volatility. Compared with the existing methods in literature, numerical experiments show that the first method has higher accuracy, while the second method is of more practical significance. In addition, the accuracy of the first method is generally higher than that of the second method in most cases, while the second method performs better when the volatility is extremely small.
Mutation Information Extraction and Fluctuation Ratio Displacement Model of Step-like Landslides Based on Subdivided Monitoring Data
Authors: Liu Yuanxue , He Shaoqi , Yu Yongping , Cheng Xiang
Published: November 2020

The multi-source, massive and subdivided monitoring data provide powerful data support for revealing the causal mechanism of complex geological disasters and improving the accuracy of time prediction. Especially in the sub-monitoring period by day and hour, the relationship between displacement and factors is more complicated, and the hidden information is more abundant. In this paper, multi-point and large sample data of step-like landslides in the Three Gorges Reservoir area are used to extract landslide mutation and establish a displacement prediction model. Firstly, the standardization, the IR model and the kNN regression model were used to obtain the principal curve reflecting the common characteristics of the displacement in the region. According to the multiplicative model of displacement decomposition, the landslide displacement incremental signal was decomposed into the product of the fluctuation ratio and the trend displacement increment by FFT filtering method. Finally, by fitting the fluctuation ratio of principal curve, the displacement function model consisting of the induced factor term and the state factor term was obtained. Taking the daily monitoring data of four bank slopes in Fengdu County for nearly 3 years as an example, the result show that the model was more in conformity with the evolution of the step-like landslide by daily monitoring than other displacement prediction methods.
Research and Practice of “423 Mode” Teaching Based on Scratch Assisted Instruction——Taking the Java Programming Course as an Example
Authors: Sheng Wenwen
Published: November 2020

In the case of a general decline in the quality of students in vocational colleges, how to improve the teaching effectiveness of programming basic courses? This article introduces the use of graphical and Scratch software as teaching aids in the basic courses of higher vocational programming. At this stage, following two lines including Scratch and Java in the course design, and also following “423 model” consists of “pre-class”–“in class”–“after class” in the implementation of the classes to cultivate students’ innovative thinking ability, stimulate students’ learning interest, reduce the course difficulty and improving course teaching effectiveness. This teaching mode has achieved ideal teaching effect in Java teaching of Rizhao Vocational Technical College.
Simulations of Formation of Nanostructure in Silicon Surface by Single Slow Highly Charged Ion
Authors: Zhang Zhengrong , Li Huifang , Ma Yunyun , Luo Dan , Liu Zijiang , Lin Shumei
Published: November 2020

To understand the mechanisms of surface erosion induced by slow highly-charged ion (SHCI) bombardment, the surface nanostructure formation in Si (111) surface by single Xe44+ ion was studied by using molecular-dynamics (MD) simulations, based on analyzing the multiple electron emission of the substrate. The time evolutions of the temperature, energy, pressure and density of the substrate have been systematically studied. The results show the bombardment of the incident SHCI resulting in an explosive event in the surface. A shock wave propagating at ~104 m/s is formed in the system during the initial 175 fs. After this initial shock, many particles are ejected from the surface since the extreme non-equilibrium of the system. And at t=370 fs, a crater-like nanostructure with diameter of ~40 Å and depth of ~18 Å is formed at the incident site.
Relation Extraction using Language Model Based on Knowledge Graph
Authors: Xing Chengli , Liu Xueyang , Du Dongdong , Hu Wenhui , Zhang Minghui
Published: November 2020

Relation extraction is an important task in natural language processing (NLP). The existing methods generally pay more attention on extracting textual semantic information from text, but ignore the relation contextual information from existed relations in datasets, which is very important for the performance of relation extraction task. In this paper, we represent each individual entity as a embedding based on entities and relations knowledge graph, which encodes the relation contextual information between the given entity pairs and relations. Besides, inspired by the impressive performance of language models recently, we used the language model to leverage word semantic information, in which word semantic information can be better captured than word embedding. The experimental results on SemEval2010 Task 8 dataset showed that the F1-score of our proposed method improved nearly 3% compared with the previous methods.
Single-event Grey Target Decision Model with Vectorial Positive and Negative Bullseyes
Authors: Li Guangyu , Li Shoujun
Published: November 2020

Considering actual multicriteria decision-making problem can be decomposed into multiple single event grey target decisions, a novel structure of the grey target decision of singel event is proposed. In order to reduce the dimensionality, index effect evaluation values are assembled as objective effect evaluation value, which simplifies the complex decision-making problem by eliminating the index layer. Vectorial positive and negative bullseyes are defined followed by the definition of comprehensive off-target distance, which integrates the positive or negative off-target distance of the decision with the projection on the line through positive and negative bullseyes. Finally, an example for selection of green product supplier is studied to verify the effectiveness and feasibility of the single-event grey target decision model based on vector-type positive and negative bullseyes.