bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cost Analysis of “One Three Four Seven” Secondary Road Light Reconstruction and Trash Bin Configuration Project in a District——From the Perspective of the Employer
Authors: Mengling Gu Jijian Tang 
Published: July 2020

Abstract
Strengthening cost management is an important task for engineering construction, and it is the key to the profit of the construction party. Similarly, the contractor has done a cost management analysis to reduce unnecessary expenses, that is, the key to saving costs and obtaining maximum profits. Cost management is The procedures in the engineering project are relatively complicated and complicated. It connects the entire process of investment, bidding, preparation, construction, settlement and completion of the project until it is put into use. It requires the use of corresponding cost analysis methods for cost management analysis to effectively control costs and achieve The cost is the lowest and the profit is maximized. This article is mainly aimed at the cost analysis of one or four hundred and forty-seven times the reconstruction of trunk road lights and the waste bin configuration project in a certain district of Chongqing. From the perspective of the contractor, from the project budget, final accounts, construction quality, construction period Comparison of several aspects such as engineering, materials, artificial organization, etc., to find out the problems in the project cost in the project, put forward reasonable suggestions and make corrections.
Directed self-assembly of block copolymers for sub-10 nm fabrication
Authors: Chen Yu , Xiong Shisheng 
Published: July 2020

Abstract
Directed self-assembly (DSA) emerges as one of the most promising new patterning techniques for single digit miniaturization and next generation lithography. DSA achieves high-resolution patterning by molecular assembly that circumvents the diffraction limit of conventional photolithography. Recently, the International Roadmap for Devices and Systems listed DSA as one of the advanced lithography techniques for the fabrication of 3–5 nm technology node devices. DSA can be combined with other lithography techniques, such as extreme ultra violet (EUV) and 193 nm immersion (193i), to further enhance the patterning resolution and the device density. So far, DSA has demonstrated its superior ability for the fabrication of nanoscale devices, such as fin field effect transistor and bit pattern media, offering a variety of configurations for high-density integration and low-cost manufacturing. Over 1 T in−2 device density can be achieved either by direct templating or coupled with nanoimprinting to improve the throughput. The development of high χ block copolymer further enhances the patterning resolution of DSA. In addition to its superiority in high-resolution patterning, the implementation of DSA on a 300 mm pivot line fully demonstrates its potential for large-scale, high-throughput, and cost-effective manufacturing in industrial environment.
RainbowSTORM: an open-source ImageJ plug-in for spectroscopic single-molecule localization microscopy (sSMLM) data analysis and image reconstruction
Authors: Davis Janel L , Soetikno Brian , Song Ki-Hee , Zhang Yang , Sun Cheng , Zhang Hao F 
Published: July 2020

Abstract

Summary
Spectroscopic single-molecule localization microscopy (sSMLM) simultaneously captures the spatial locations and full spectra of stochastically emitting fluorescent single molecules. It provides an optical platform to develop new multimolecular and functional imaging capabilities. While several open-source software suites provide subdiffraction localization of fluorescent molecules, software suites for spectroscopic analysis of sSMLM data remain unavailable. RainbowSTORM is an open-source ImageJ/FIJI plug-in for end-to-end spectroscopic analysis and visualization for sSMLM images. RainbowSTORM allows users to calibrate, preview and quantitatively analyze emission spectra acquired using different reported sSMLM system designs and fluorescent labels.

Availability and implementation
RainbowSTORM is a java plug-in for ImageJ (https://imagej.net)/FIJI (http://fiji.sc) freely available through: https://github.com/FOIL-NU/RainbowSTORM. RainbowSTORM has been tested with Windows and Mac operating systems and ImageJ/FIJI version 1.52.

Supplementary information
Supplementary data are available at Bioinformatics online.
The Complexity of Urban Eco-evolutionary Dynamics
Authors: Alberti Marina , Palkovacs Eric P , Roches Simone Des , Meester Luc De , Brans Kristien I , Govaert Lynn , Grimm Nancy B , Harris Nyeema C , Hendry Andrew P , Schell Christopher J , Szulkin Marta , Munshi-South Jason , Urban Mark C , Verrelli Brian C 
Published: July 2020

AbstractUrbanization is changing Earth's ecosystems by altering the interactions and feedbacks between the fundamental ecological and evolutionary processes that maintain life. Humans in cities alter the eco-evolutionary play by simultaneously changing both the actors and the stage on which the eco-evolutionary play takes place. Urbanization modifies land surfaces, microclimates, habitat connectivity, ecological networks, food webs, species diversity, and species composition. These environmental changes can lead to changes in phenotypic, genetic, and cultural makeup of wild populations that have important consequences for ecosystem function and the essential services that nature provides to human society, such as nutrient cycling, pollination, seed dispersal, food production, and water and air purification. Understanding and monitoring urbanization-induced evolutionary changes is important to inform strategies to achieve sustainability. In the present article, we propose that understanding these dynamics requires rigorous characterization of urbanizing regions as rapidly evolving, tightly coupled human–natural systems. We explore how the emergent properties of urbanization affect eco-evolutionary dynamics across space and time. We identify five key urban drivers of change—habitat modification, connectivity, heterogeneity, novel disturbances, and biotic interactions—and highlight the direct consequences of urbanization-driven eco-evolutionary change for nature's contributions to people. Then, we explore five emerging complexities—landscape complexity, urban discontinuities, socio-ecological heterogeneity, cross-scale interactions, legacies and time lags—that need to be tackled in future research. We propose that the evolving metacommunity concept provides a powerful framework to study urban eco-evolutionary dynamics.
Interpolation Attacks on Round-Reduced Elephant, Kravatte and Xoofff
Authors: Zhou Haibo , Zong Rui , Dong Xiaoyang , Jia Keting , Meier Willi 
Published: July 2020

Abstract
We introduce an interpolation attack using the Moebius Transform. This can reduce the time complexity to get a linear system of equations for specified intermediate state bits, which is general to cryptanalysis of some ciphers with update function of low algebraic degree. Along this line, we perform an interpolation attack against Elephant-Delirium, a round 2 submission of the ongoing national institute of standards and technology (NIST) lightweight cryptography project. This is the first third-party cryptanalysis on this cipher. Moreover, we promote the interpolation attack by applying it to the Farfalle pseudo-random constructions Kravatte and Xoofff. Our attacks turn out to be the most efficient method for these ciphers thus far.
Physiological resilience of pink salmon to naturally occurring ocean acidification
Authors: Frommel Andrea Y , Carless Justin , Hunt Brian P V , Brauner Colin J 
Published: July 2020

Abstract
Pacific salmon stocks are in decline with climate change named as a contributing factor. The North Pacific coast of British Columbia is characterized by strong temporal and spatial heterogeneity in ocean conditions with upwelling events elevating CO2 levels up to 10-fold those of pre-industrial global averages. Early life stages of pink salmon have been shown to be affected by these CO2 levels, and juveniles naturally migrate through regions of high CO2 during the energetically costly phase of smoltification. To investigate the physiological response of out-migrating wild juvenile pink salmon to these naturally occurring elevated CO2 levels, we captured fish in Georgia Strait, British Columbia and transported them to a marine lab (Hakai Institute, Quadra Island) where fish were exposed to one of three CO2 levels (850, 1500 and 2000 μatm CO2) for 2 weeks. At ½, 1 and 2 weeks of exposure, we measured their weight and length to calculate condition factor (Fulton’s K), as well as haematocrit and plasma [Cl−]. At each of these times, two additional stressors were imposed (hypoxia and temperature) to provide further insight into their physiological condition. Juvenile pink salmon were largely robust to elevated CO2 concentrations up to 2000 μatm CO2, with no mortality or change in condition factor over the 2-week exposure duration. After 1 week of exposure, temperature and hypoxia tolerance were significantly reduced in high CO2, an effect that did not persist to 2 weeks of exposure. Haematocrit was increased by 20% after 2 weeks in the CO2 treatments relative to the initial measurements, while plasma [Cl−] was not significantly different. Taken together, these data indicate that juvenile pink salmon are quite resilient to naturally occurring high CO2 levels during their ocean outmigration.
Metabolic inflammation in heart failure with preserved ejection fraction
Authors: Schiattarella Gabriele G , Rodolico Daniele , Hill Joseph A 
Published: July 2020

AbstractOne in 10 persons in the world aged 40 years and older will develop the syndrome of HFpEF (heart failure with preserved ejection fraction), the most common form of chronic cardiovascular disease for which no effective therapies are currently available. Metabolic disturbance and inflammatory burden contribute importantly to HFpEF pathogenesis. The interplay within these two biological processes is complex; indeed, it is now becoming clear that the notion of metabolic inflammation—metainflammation—must be considered central to HFpEF pathophysiology. Inflammation and metabolism interact over the course of syndrome progression, and likely impact HFpEF treatment and prevention. Here, we discuss evidence in support of a causal, mechanistic role of metainflammation in shaping HFpEF, proposing a framework in which metabolic comorbidities profoundly impact cardiac metabolism and inflammatory pathways in the syndrome.
Gliome database: a comprehensive web-based tool to access and analyze glia secretome data
Authors: Kim Jong-Heon , Park Su-Hyeong , Han Jin , Ko Pan-Woo , Kwon Dongseop , Suk Kyoungho 
Published: July 2020

Abstract
Glial cells are phenotypically heterogeneous non-neuronal components of the central and peripheral nervous systems. These cells are endowed with diverse functions and molecular machineries to detect and regulate neuronal or their own activities by various secreted mediators, such as proteinaceous factors. In particular, glia-secreted proteins form a basis of a complex network of glia–neuron or glia–glia interactions in health and diseases. In recent years, the analysis and profiling of glial secretomes have raised new expectations for the diagnosis and treatment of neurological disorders due to the vital role of glia in numerous physiological or pathological processes of the nervous system. However, there is no online database of glia-secreted proteins available to facilitate glial research. Here, we developed a user-friendly ‘Gliome’ database (available at www.gliome.org), a web-based tool to access and analyze glia-secreted proteins. The database provides a vast collection of information on 3293 proteins that are released from glia of multiple species and have been reported to have differential functions under diverse experimental conditions. It contains a web-based interface with the following four key features regarding glia-secreted proteins: (i) fundamental information, such as signal peptide, SecretomeP value, functions and Gene Ontology category; (ii) differential expression patterns under distinct experimental conditions; (iii) disease association; and (iv) interacting proteins. In conclusion, the Gliome database is a comprehensive web-based tool to access and analyze glia-secretome data obtained from diverse experimental settings, whereby it may facilitate the integration of bioinformatics into glial research.
First Complete Genome Sequences of Janthinobacterium lividum EIF1 and EIF2 and Their Comparative Genome Analysis
Authors: Friedrich Ines , Hollensteiner Jacqueline , Schneider Dominik , Poehlein Anja , Hertel Robert , Daniel Rolf 
Published: July 2020

AbstractWe present the first two complete genomes of the Janthinobacterium lividum species, namely strains EIF1 and EIF2, which both possess the ability to synthesize violacein. The violet pigment violacein is a secondary metabolite with antibacterial, antifungal, antiviral, and antitumoral properties. Both strains were isolated from environmental oligotrophic water ponds in Göttingen. The strains were phylogenetically classified by average nucleotide identity (ANI) analysis and showed a species assignment to J. lividum with 97.72% (EIF1) and 97.66% (EIF2) identity. These are the first complete genome sequences of strains belonging to the species J. lividum. The genome of strain EIF1 consists of one circular chromosome (6,373,589 bp) with a GC-content of 61.98%. The genome contains 5,551 coding sequences, 122 rRNAs, 93 tRNAs, and 1 tm-RNA. The genome of EIF2 comprises one circular chromosome (6,399,352 bp) with a GC-content of 61.63% and a circular plasmid p356839 (356,839 bp) with a GC-content of 57.21%. The chromosome encodes 5,691 coding sequences, 122 rRNAs, 93 tRNAs, and 1 tm-RNA and the plasmid harbors 245 coding sequences. In addition to the highly conserved chromosomally encoded violacein operon, the plasmid comprises a nonribosomal peptide synthetase cluster with similarity to xenoamicin, which is a bioactive compound effective against protozoan parasites.
Seismicity induced by massive wastewater injection near Puerto Gaitán, Colombia
Authors: Molina I , Velásquez J S , Rubinstein J L , Garcia-Aristizabal A , Dionicio V 
Published: July 2020

SUMMARY
Seven years after the beginning of a massive wastewater injection project in eastern Colombia, local earthquake activity increased significantly. The field operator and the Colombian Geological Survey immediately reinforced the monitoring of the area. Our analysis of the temporal evolution of the seismic and injection data together with our knowledge of the geological parameters of the region indicate that the surge of seismicity is being induced by the re-injection of produced water into the same three producing reservoirs. Earthquake activity began on known faults once disposal rates had reached a threshold of ∼2 × 106 m3 of water per month. The average reservoir pressure had remained constant at 7.6 MPa after several years of production, sustained by a large, active aquifer. Surface injection pressures in the seismically active areas remain below 8.3 MPa, a value large enough to activate some of the faults. Since faults are mapped throughout the region and many do not have seismicity on them, we conclude that the existence of known faults is not the only control on whether earthquakes are generated. Stress conditions of these faults are open to future studies. Earthquakes are primarily found in four clusters, located near faults mapped by the operator. The hypocentres reveal vertical planes with orientations consistent with focal mechanisms of these events. Stress inversion of the focal mechanisms gives a maximum compression in the direction ENE-WSW, which is in agreement with borehole breakout measurements. Since the focal mechanisms of the earthquakes are consistent with the tectonic stress regime, we can conclude that the seismicity is resulting from the activation of critically stressed faults. Slip was progressive and seismic activity reached a peak before declining to few events per month. The decline in seismicity suggests that most of the stress has been relieved on the main faults. The magnitude of a large majority of the recorded earthquakes was lower than 4, as the pore pressure disturbance did not reach the mapped large faults whose activation might have resulted in larger magnitude earthquakes. Our study shows that a good knowledge of the local fault network and conditions of stress is of paramount importance when planning a massive water disposal program. These earthquakes indicate that while faults provide an opportunity to dispose produced water at an economically attractive volume–pressure ratio, the possibility of induced seismicity must also be considered.
Probabilistic neural network tomography across Grane field (North Sea) from surface wave dispersion data
Authors: Earp S , Curtis A , Zhang X , Hansteen F 
Published: July 2020

SUMMARYSurface wave tomography uses measured dispersion properties of surface waves to infer the spatial distribution of subsurface properties such as shear wave velocities. These properties can be estimated vertically below any geographical location at which surface wave dispersion data are available. As the inversion is significantly non-linear, Monte Carlo methods are often used to invert dispersion curves for shear wave velocity profiles with depth to give a probabilistic solution. Such methods provide uncertainty information but are computationally expensive. Neural network (NN) based inversion provides a more efficient way to obtain probabilistic solutions when those solutions are required beneath many geographical locations. Unlike Monte Carlo methods, once a network has been trained it can be applied rapidly to perform any number of inversions. We train a class of NNs called mixture density networks (MDNs), to invert dispersion curves for shear wave velocity models and their non-linearized uncertainty. MDNs are able to produce fully probabilistic solutions in the form of weighted sums of multivariate analytic kernels such as Gaussians, and we show that including data uncertainties as additional inputs to the MDN gives substantially more reliable velocity estimates when data contains significant noise. The networks were applied to data from the Grane field in the Norwegian North sea to produce shear wave velocity maps at several depth levels. Post-training we obtained probabilistic velocity profiles with depth beneath 26 772 locations to produce a 3-D velocity model in 21 s on a standard desktop computer. This method is therefore ideally suited for rapid, repeated 3-D subsurface imaging and monitoring.
Effects of bathymetry complexity on tsunami propagation: a spherical harmonics approach
Authors: Salaree Amir , Okal Emile A 
Published: July 2020

SUMMARYThis paper explores the effects on tsunami simulations of the level of detail of the bathymetric grid in use. For this purpose, we expand available bathymetric data sets of the Pacific Basin in spherical harmonics. For realistic scenarios of tsunamis generated by earthquake dislocations, we conclude that an expansion to a maximum degree lmax = 40, corresponding to wavelengths of 1000 km, is sufficient to reproduce the main features of the tsunami wavefield synthesized in deep water, that is, without considering final shoaling and interaction with coastal features.
Medical pluralism, sorcery belief and health seeking in Vanuatu: a quantitative and descriptive study
Authors: Elliott Lana , Taylor John 
Published: July 2020

Summary
Set in Espiritu Santo, Vanuatu, this study explores the relationship between cultural knowledge and beliefs concerning illness and health-seeking behaviour within the context of medical pluralism. Concentrating on the nation’s high rates of diabetes and non-communicable disease (NCD) risk factors, this research analyses the way in which understandings of disease aetiology and healing efficacy impact upon treatment-related decisions. Data were obtained through a mixed-methods community survey of 313 adult respondents developed in collaboration with ni-Vanuatu health experts, community leaders and survey enumerators, and comprised of open and closed-ended questions. As the results demonstrate, framed by cultural and religious beliefs, multifaceted indigenous conceptualizations of health and illness in Vanuatu are directly linked to pluralist health seeking practices, including the concurrent use of formal and informal health services. The interwoven identification of sociocultural, physical and clinical determinants of disease highlights the complex manner in which health is understood and maintained by ni-Vanuatu. In successfully addressing the rising burden of NCDs, it is integral that health interventions and service providers acknowledge the complex conceptualization of disease and ensure the provision of holistic care that embraces rather than ignores the steadfast role of local systems of belief, and of traditional, religious and other informal forms of healthcare provision.
A novel opportunistic maintenance strategy for systems with dependent main and auxiliary components
Authors: Shen Jingyuan , Zhang Yanjing , Ma Yizhong , Lin Cong 
Published: July 2020

Abstract
The complexity of dependence between different types of components results in many challenges to estimate system reliability and to optimize maintenance plans. In this paper, we develop a reliability model to study the failure dependence of a system with a main component and several protective auxiliary components. Damage to the main component caused by random environmental shocks depends on the number of auxiliary components in operation. When the execution of inspection and maintenance actions during system operation is difficult, failures of the main component provide opportunities to inspect and replace the auxiliary components. We derive the system reliability using Laplace transforms and the matrix method. The optimization problem is solved by an enumeration method. A numerical example and sensitivity studies of cost parameters show how the evolution of the parameters influences the optimal maintenance strategy. The results show that a high replacement threshold of the auxiliary components is required when the replacement cost of the main component is high. Conversely, the threshold could be adjusted to a lower level when the replacement cost of the auxiliary components and the downtime cost increase.
Why Governments Have Their Troops Trained Abroad: Evidence from Latin America
Authors: Scharpf Adam 
Published: July 2020

AbstractWhy do governments send their soldiers abroad for military training? Governments frequently expose their troops to training offered by other countries, although this may undermine military control and even lead to coups. Focusing on the demand side of security assistance, I argue that governments accept these costs to achieve diplomatic and military goals. Governments first send some soldiers abroad to substantiate their cooperation with the host country. Once this diplomatic commitment is made, governments increase training rates to counter threats using military skills unavailable at home. I test both arguments by studying training patterns at the most notorious US training facility: the School of the Americas. Using original data based on more than 60,700 course attendance records between 1946 and 2004, I find support for the proposed diplomatic and military logics of foreign training. Governments were more likely to send soldiers to the school after they had aligned their foreign policy with that of the United States, and only increased training in response to insurgent attacks. The findings demonstrate why and when governments are willing to cede significant parts of their political power to foreign-trained soldiers and other states. This has important implications for understanding military effectiveness and security cooperation.