bluuebunny/crossref_metadata_2025_split huggingface dataset:
When Public Art Goes Bad: Two Competing Features of Public Art
Authors: Willard Mary Beth 
Published: January 2019

Abstract
Not all public art is bad art, but when public art is bad, it tends to be bad in an identifiable way. In this paper, I develop a Waltonian theory of the category of public art, according to which public art standardly is both accessible to the public and minimally site-specific. When a work lacks the standard features of the category to which it belongs, appreciators tend to perceive the work as aesthetically flawed. I then compare and contrast cases of successful and unsuccessful public art to show that accessibility and site-specificity are features which tend to preclude the other. It is difficult, although hardly impossible, for a site-specific work to remain accessible, and difficult for an accessible work to engage adequately with the site on which it is situated. As a result, while not all public art is bad, the features peculiar to public work encourage a latent tendency toward badness.
Shooting method analysis in wire coating withdrawing from a bath of Oldroyd 8-constant fluid with temperature dependent viscosity
Authors: Khan Zeeshan , Rasheed Haroon Ur , Ullah Murad , Khan Ilyas , Alkanhal Tawfeeq Abdullah , Tlili Iskander 
Published: January 2019

Abstract
The most important plastic resins used in wire coating are high/low density polyethylene (LDPE/HDPE), plasticized polyvinyl chloride (PVC), nylon and polysulfone. To provide insulation and mechanical strength, coating is necessary for wires. Simulation of polymer flow during wire coating dragged froma bath of Oldroyd 8-constant fluid incompresible and laminar fluid inside pressure type die is carried out numerically. In wire coating the flow depends on the velocity of the wire, geometry of the die and viscosity of the fluid.The non-dimensional resulting flow and heat transfer differential equations are solved numerically by Ruge-Kutta 4th-order method with shooting technique. Reynolds model and Vogel’s models are encountered for temperature dependent viscosity. The numerical solutions are obtained for velocity field and temperature distribution. The solutions are computed for different physical parameters.It is observed that the non-Newtonian propertis of fluid were favourable, enhancing the velocity in combination with temperature dependent variable. The Brinkman number contributes to increase the temperature for both Reynolds and Vogel’smodels. With the increasing of pressure gradient parameter of both Reynolds and Vogel’s models, the velocity and temperature profile increases significantly in the presence of non-Newtonian parameter. Furthermore, the present result is also compared with published results as a particular case.
Face recognition method based on GA-BP neural network algorithm
Authors: Liu Jing , Ashraf Muhammad Aqeel 
Published: January 2019

Abstract
In order to recognize faces, face recognition methods need to be studied. When a face is identified by the current method, the image denoising effect is poor, the face image recognition result thus has error, the time used to recognize the face image is long, the signal to noise ratio, the recognition result and the recognition efficiency are low. Based on the GA-BP neural network algorithm, a face recognition method is proposed. A mixed denoising model of face images is constructed by combining dictionary based sparse representation with non-local similarity. The principal component analysis method is used to extract the feature of the face image after denoising and staining the eigenvector of the face image. The GA-BP neural network algorithm is used to optimize the initial weights and thresholds so as to achieve the optimal value. The feature vectors of face images are ted into the genetic neural network to complete face recognition. Experimental results show that the proposed method has high signal-to-noise ratio, accuracy and recognition efficiency.
Optimal path selection algorithm for mobile beacons in sensor network under non-dense distribution
Authors: Yu Guoqing , Ma Hongtao , Witarsyah Deden 
Published: January 2019

Abstract
When the traditional anchor aided location algorithm is used to select the mobile beacon path in the sensor network, there is no analysis of the energy imbalance of nodes in non-dense conditions, the optimal network node cannot be selected, and the selection error of the optimal path of the beacon is larger. A path selection algorithm for mobile beacons in a sensor network under non-dense distribution is proposed. Using the mobile beacon based wireless sensor network location algorithm, the weighted centroid algorithm and the extended Kalman filter (EKF) are used to obtain the accurate location results of the unknown nodes around the mobile beacon in the sensor network under non-dense distribution condition. The optimal node energy partition of the unknown node is obtained by the chaotic differential evolution method, and the optimal location of the optimal energy node in the wireless sensor network is calculated using the dynamic escape particle swarm optimization method, and the optimal beacon path is extracted. The experimental results show that the proposed algorithm can enhance the clustering performance of the optimal node in the wireless sensor network and has a better performance of dynamic node selection in wireless sensor network, and the convergence speed is faster and the operation time is shorter.
Urban road traffic flow control under incidental congestion as a function of accident duration
Authors: Xu Yang , Zhang Duojia , Chowdhury Ahmad Jalal Khan 
Published: January 2019

Abstract
An abrupt increase in urban road traffic flow caused by incidental congestion is considered. The residual traffic capacity varies in different lanes after an accident, and the influence of accident duration on traffic flow is taken into account. The swallowtail catastrophe model was built based on catastrophe theory. The critical state of traffic congestion under incidental congestion was analyzed using this model, and a traffic flow control scheme is proposed with the goal of maximizing the traffic capacity. Finally, the operational state of traffic flow under different scenarios is analyzed through case study and the feasibility of the model is validated.
Construction of renewable energy supply chain model based on LCA
Authors: Luo Lei , Yang Liu , Hanafiah Marlia Mohd 
Published: January 2019

Abstract
The current building’s energy supply chain model has the characteristics of high complexity, time-consuming, poor accuracy, and high pollution coefficient. In this paper, a renewable building’s energy supply chain model based on LCA is proposed. Based on the definition of planned supply chain, procurement, construction and delivery process, the operation reference model of renewable green building’s energy supply chain is analyzed. According to the analysis of LCA, the life cycle stage set of renewable green building’s energy supply chain is obtained. A renewable green building’s energy supply chain model with economic and low-carbon comprehensive objectives is obtained by combining the economic goal-oriented model with the low-carbon goal-oriented model and introducing the life cycle stage set. The experimental results show that the modeling complexity of the model is low and the time-consuming is less. The model fits the actual situation well. The pollution coefficient of the model is smaller than that of the current model. It is practical and provides technical reference for the field of green building.
The tribological properties study of carbon fabric/ epoxy composites reinforced by nano-TiO2 and MWNTs
Authors: Wei Fengjun , Pan Bingli , Lopez Juan 
Published: January 2019

Abstract
A kind of carbon fabric/epoxy composite was successfully prepared with carbon fiber fabric as reinforced phase and epoxy resin as binder phase, then the nano-TiO2 and a hybrid system of TiO2/MWNTs was added into the carbon fabric/ epoxy composite matrix respectively to prepare a kind of nano-composite. The friction and wear properties of CF/EP composites under different load conditions have been studied in this article, during the study the effects of filler types and contents on the tribological properties were researched, at last the worn surfaces were investigated and the abrasion mechanism was discussed. The results showed that: whether filling the nano-TiO2 alone or mixing the TiO2/MWNTs, it was able to achieve a good effect on decreasing friction and reducing wear, and the optimum addition ratio of the nano-TiO2 particles was 3.0% , meanwhile 3.0% of nano-TiO2 and 0.4% of MWNTs could cooperate with each other in their dimension, and could show a synergistic effect on modifying the tribological properties of CF/EP composites, the coefficient of friction of the modified composites decreased by 20% and the wear life increased by more than 140% compared with that of pristine composite materials, in the process of friction and wear, the wear form of the composites materials varied from brittle rupture to abrasive wear gradually.
The Relationship between Money Supply, Price Level and Economic Growth In Pakistan: Keynesian versus Monetarist View
Authors: Mansoor Abdul , Shoukat Quratulain , Bibi Shagufta , Iqbal Khushbakht , Saeed Romana , Zaman Khalid 
Published: January 2019

AbstractThe objective of the study is to examine the relationship between money supply, price level and economic growth in the context of Pakistan by using Autoregressive Distributed Lag (ARDL) model, covered a period of 1980 to 2016. The results confirm the long-run relationship between the variables while using broad money supply as a response variable. However, in the price and income modeling, the variables do not support the cointegration relationship between the variables. The causality results confirmed the unidirectional relationship running from income to money supply, which implies that income do causes money supply in the short run, whereas money supply leads to inflation to support Monetarist view of inflation in a country. The results conclude that economic growth is imperative to stabilize money supply and price level through sound economic policies in a country.
Does Corruption Matter for Unemployment in SADC Countries?
Authors: Adjor Dopé M. , Kebalo Léleng 
Published: January 2019

AbstractIs corruption, the main source of unemployment in the SADC countries? Do the effects of corruption outweigh those of income inequalities, human capital and government revenues in explaining the unemployment rate within the SADC area? Through these questions, the objective of our paper is to propose targeted policies that can enable decision-makers to reduce the unemployment rate within the SADC area. Through a panel vector autoregressive model, our empirical investigation on a sample of nine (09) SADC countries reveals that the education level and income inequalities contribute the most to explain the total unemployment rate. However, for the youth unemployment, corruption is the main factor followed by the level of education. To reduce total unemployment in the area, SADC countries need to reduce income inequalities and the mismatch between education and the labour market needs and/or countries’ development programs. For the youth unemployment, the reduction of corruption to all its forms should be the priority of political and economic decisionmakers.
Analysis of compressive strength of concrete prepared by triplemixing technology depending on both the discharge and curing time
Authors: Urban Karol , Sicakova Alena 
Published: January 2019

Abstract
Compressive strength of concrete having recycled concrete aggregate is influenced by the properties and amount of those aggregate. The worse quality of RCA can be eliminated by specific mixing approach. Practical mixing and delivery of concrete could affect the properties of ready concrete due to prolonged time. In this paper, both the fly ash and fine fraction of recycled concrete were used to improve the quality of concrete due to coating of RCA, while the triple mixing technology was applied for this purpose. The compressive strength is evaluated from two aspects: the curing time (2, 28 and 90 days) and discharge time (0, 45 and 90 minutes after mixing) with attention being paid to the type of aggregate and the type of coating material. When using triple mixing technology, prolonged discharge time brings only small effect on the compressive strength (up to 12%) both in positive and negative way, depending on kind of coating material.
Structural analysis of cross-laminated timber slabs subjected to bending – state of the art
Authors: Bajzecerova Viktoria , Kovac Maros , Kanocz Jan 
Published: January 2019

Abstract
Compared to solid or laminated timber, the main point of the design of cross-laminated timber (CLT) is very low resistance and stiffness of the CLT cross layers. For the modeling and analyzing of the load distribution in CLT, various methods are available. The aim of this paper is to present the possible ways for load-bearing analysis of structural members subjected to uniaxial and biaxial bending in various software products and using various methods. A parametric analysis was performed with the aim to compare the results obtained by the analytical method, the model of the orthotropic slab, the grillage model and using the software based on the finite element method. The values of maximum deflection obtained by selected methods were compared. The mid-span deflection of beams subjected to uniaxial bending differs only slightly. In the case of slabs subjected to biaxial bending, more visible differences in results occurred. The simplified methods give the highest values on the safe side.
Using Neutron Radiography to Quantify the Settlement of Fresh Concrete
Authors: Moradllo Mehdi Khanzadeh , Reese Steven R. , Weiss W. Jason 
Published: January 2019

Abstract
Specifications have been implemented for concrete bridge decks in North America that restrict the use of higher slump concrete mixtures primarily because of concerns about differential settlement and settlement cracking. However, the use of higher slump mixtures is frequently desired by contractors motivated by pumping and placement concerns. Research is needed to determine whether specifications that limit slump are appropriate for modern concrete mixtures. This article investigates plastic settlement and water movement in fresh concrete using neutron radiography. Mortar mixtures were examined with different slump values that were obtained by either varying the water-to-cement ratio (w/c) or using a high-range water reducer (HRWR). Results showed that the addition of an HRWR to improve workability in low w/c mixtures has a minor impact on plastic settlement. Therefore, results from this study suggest that specifications that limit the use of higher slump concrete mixtures to control plastic settlement cracking may require re-examination. Settlement appears to be largely related to water content.
PENGARUH KINERJA PEGAWAI DAN DISIPLIN KERJA TERHADAP KEPUASAN MASYARAKAT
Authors: Prayogo Toni , Ismiyati Ismiyati 
Published: January 2019

Tujuan pada penelitian ini yaitu untuk mengetahui apakah ada pengaruh antara kinerja pegawai dan disiplin kerja terhadap kepuasan masyarakat di Kantor Kecamatan Gunungpati. Penelitian ini menggunakan pendekatan kuantitatif, dengan menggunakan media SPSS . Populasi yang akan diteliti dalam penelitian ini adalah masyarakat umum di kantor Kecamatan Gunungpati. Besarnya sampel yang digunakan sebesar 10% dari populasi atau sejumlah 50 dengan teknik pengambilan data secara accidental sampling. Pengumpulan data dilakukan dengan instrument berupa angket, dokumentasi dan analisis data bersifat kuantitatif yang bertujuan untuk menguji hipotesis yang telah ditetapkan. Data yang digunakan dalam penelitian ini adalah data primer yang diperoleh langsung dari masyarakat umum yang berada di Kantor Kecamatan Gunungpati. Data diperoleh dari kuesioner yang telah diisi oleh masyarakat. Kemudian instrumen diujicobakan secara terbatas kepada pengunjung peminta pelayanan. Hasil ujicoba instrument diukur validitas, reliabilitas menggunakan rumus alpha. Dari hasil yang diperoleh besarnya pengaruh secara simultan antara kinerja pegawai dan disiplin kerja terhadap kepuasan masyarakat yaitu 65%. Variabel yang memberikan pengaruh paling besar terhadap aktivitas belajar secara parsial adalah disiplin kerja yaitu sebesar 33,1% sedangkan untuk kinerja pegawai memberikan pengaruh lebih kecil yaitu sebesar 27% maka variabel kinerja pegawai dan disiplin kerja berpengaruh positif terhadap kepuasan masyarakat secara signifikan.

The purpose of this study is to determine whether there is influence between employee performance and work discipline to community satisfaction in the Gunungpati District Office. This research uses quantitative approach, using SPSS. Population to be studied in this research is general public in office of District of Gunungpati. The size of the sample used is 10% of the population it means 50 person with the technique of taking the data by accidental sampling. Data collection is done by instrument in the form of questionnaire, documentation and quantitative data analysis which aims to test the hypothesis that has been determined The data used in this study is primary data obtained directly from the general public in the district office Gunungpati. Data obtained from questionnaires that have been filled by the community. Then the instrument is tested in a limited way to the visitor requesting service. From test results measured instrumentality validity, reliability using alpha formulas. As the result the magnitude of the effect simultaneously between employee performance and work discipline on community satisfaction is 65%. The variable that gives the most influence to the learning activity partially is work discipline that is equal to 33,1% while for employee performance give less influence that is equal to 27%. So employee performance variable and work discipline have a positive effect on community satisfaction significantly.
Auxin-Inducible Depletion of the Essentialome Suggests Inhibition of TORC1 by Auxins and Inhibition of Vrg4 by SDZ 90-215, a Natural Antifungal Cyclopeptide
Authors: Snyder Nathan A , Kim Adam , Kester Louis , Gale Andrew N , Studer Christian , Hoepfner Dominic , Roggo Silvio , Helliwell Stephen B , Cunningham Kyle W 
Published: January 2019

AbstractGene knockout and knockdown strategies have been immensely successful probes of gene function, but small molecule inhibitors (SMIs) of gene products allow much greater time resolution and are particularly useful when the targets are essential for cell replication or survival. SMIs also serve as lead compounds for drug discovery. However, discovery of selective SMIs is costly and inefficient. The action of SMIs can be modeled simply by tagging gene products with an auxin-inducible degron (AID) that triggers rapid ubiquitylation and proteasomal degradation of the tagged protein upon exposure of live cells to auxin. To determine if this approach is broadly effective, we AID-tagged over 750 essential proteins in Saccharomyces cerevisiae and observed growth inhibition by low concentrations of auxin in over 66% of cases. Polytopic transmembrane proteins in the plasma membrane, Golgi complex, and endoplasmic reticulum were efficiently depleted if the AID-tag was exposed to cytoplasmic OsTIR1 ubiquitin ligase. The auxin analog 1-napthylacetic acid (NAA) was as potent as auxin on AID-tags, but surprisingly NAA was more potent than auxin at inhibiting target of rapamycin complex 1 (TORC1) function. Auxin also synergized with known SMIs when acting on the same essential protein, indicating that AID-tagged strains can be useful for SMI screening. Auxin synergy, resistance mutations, and cellular assays together suggest the essential GMP/GDP-mannose exchanger in the Golgi complex (Vrg4) as the target of a natural cyclic peptide of unknown function (SDZ 90-215). These findings indicate that AID-tagging can efficiently model the action of SMIs before they are discovered and can facilitate SMI discovery.
Adaptation Through Lifestyle Switching Sculpts the Fitness Landscape of Evolving Populations: Implications for the Selection of Drug-Resistant Bacteria at Low Drug Pressures
Authors: Matange Nishad , Hegde Sushmitha , Bodkhe Swapnil 
Published: January 2019

Abstract
Novel genotypes evolve under selection through mutations in pre-existing genes. However, mutations have pleiotropic phenotypic effects that influence the fitness of emerging genotypes in complex ways. The evolution of antimicrobial resistance is mediated by selection of mutations in genes coding for antibiotic-target proteins. Drug-resistance is commonly associated with a fitness cost due to the impact of resistance-conferring mutations on protein function and/or stability. These costs are expected to prohibit the selection of drug-resistant mutations at low drug pressures. Using laboratory evolution of rifampicin resistance in Escherichia coli, we show that when exposed intermittently to low concentration (0.1 × minimal inhibitory concentration) of rifampicin, the evolution of canonical drug resistance was indeed unfavorable. Instead, these bacterial populations adapted by evolving into small-colony variants that displayed enhanced pellicle-forming ability. This shift in lifestyle from planktonic to pellicle-like was necessary for enhanced fitness at low drug pressures, and was mediated by the genetic activation of the fim operon promoter, which allowed expression of type I fimbriae. Upon continued low drug exposure, these bacteria evolved exclusively into high-level drug-resistant strains through mutations at a limited set of loci within the rifampicin-resistance determining region of the rpoB gene. We show that our results are explained by mutation-specific epistasis, resulting in differential impact of lifestyle switching on the competitive fitness of different rpoB mutations. Thus, lifestyle-alterations that are selected at low selection pressures have the potential to modify the fitness effects of mutations, change the genetic structure, and affect the ultimate fate of evolving populations.