Miracle-dz/UniFAR-FTUs huggingface dataset:
Two novel immunization strategies for epidemic control in directed scale-free networks with nonlinear infectivity

In this paper, we propose two novel immunization strategies, i.e., combined immunization and duplex immunization, for SIS model in directed scale-free networks, and obtain the epidemic thresholds for them with linear and nonlinear infectivities. With the suggested two new strategies, the epidemic thresholds after immunization are greatly increased. For duplex immunization, we demonstrate that its performance is the best among all usual immunization schemes with respect to degree distribution. And for combined immunization scheme, we show that it is more effective than active immunization. Besides, we give a comprehensive theoretical analysis on applying targeted immunization to directed networks. For targeted immunization strategy, we prove that immunizing nodes with large out-degrees are more effective than immunizing nodes with large in-degrees, and nodes with both large out-degrees and large in-degrees are more worthy to be immunized than nodes with only large out-degrees or large in-degrees. Finally, some numerical analysis are performed to verify and complement our theoretical results. This work is the first to divide the whole population into different types and embed appropriate immunization scheme according to the characteristics of the population, and it will benefit the study of immunization and control of infectious diseases on complex networks.
Quantum field theory with classical sources—linearized quantum gravity

In a previous work (Skagerstam 2018 arXiv:1801.09947v1 [quant-ph]) and in terms of an exact quantum-mechanical framework, -independent causal and retarded expectation values of the second-quantized electro-magnetic fields in the Coulomb gauge were derived in the presence of a conserved classical electric current. The classical -independent Maxwell’s equations then naturally emerged. In the present work, we extend these considerations to linear gravitational quantum deviations around a flat Minkowski space-time in a Coulomb-like gauge. The emergence of the classical, causal, and properly retarded linearized classical theory of general relativity with a conserved classical energy–momentum tensor is then outlined. The quantum-mechanical framework also provides for a simple approach to classical quadrupole gravitational radiation of Einstein and microscopic spontaneous graviton emission and/or absorption processes.
The effect of kernel and bandwidth specification in geographically weighted regression models on the accuracy and uniformity of mass real estate appraisal

This Article is brought to you for free and open access by the School of Public Service at ODU Digital Commons. It has been accepted for inclusion in School of Public Service Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact digitalcommons@odu.edu. Repository Citation Bidanset, Paul E. and Lombard, John R. , "The Effect of Kernel and Bandwidth Specification in Geographically Weighted Regression Models on the Accuracy and Uniformity of Mass Real Estate Appraisal" (2014). School of Public Service Faculty Publications. 27. https://digitalcommons.odu.edu/publicservice_pubs/27
Fearing the Future of Empirical Psychology: Bem's (2011) Evidence of Psi as a Case Study of Deficiencies in Modal Research Practice

In this methodological commentary, we use Bem's (2011) recent article reporting experimental evidence for psi as a case study for discussing important deficiencies in modal research practice in empirical psychology. We focus on (a) overemphasis on conceptual rather than close replication, (b) insufficient attention to verifying the soundness of measurement and experimental procedures, and (c) flawed implementation of null hypothesis significance testing. We argue that these deficiencies contribute to weak method-relevant beliefs that, in conjunction with overly strong theory-relevant beliefs, lead to a systemic and pernicious bias in the interpretation of data that favors a researcher's theory. Ultimately, this interpretation bias increases the risk of drawing incorrect conclusions about human psychology. Our analysis points to concrete recommendations for improving research practice in empirical psychology. We recommend (a) a stronger emphasis on close replication, (b) routinely verifying the integrity of measurement instruments and experimental procedures, and (c) using stronger, more diagnostic forms of null hypothesis testing.
Nebalia kensleyi, a new species of leptostracan (Crustacea: Phyllocarida) from Tomales Bay, California

ABSTRACT A new species of leptostracan, Nebalia kensleyi, is described from the coast of central California. It differs from other species of Nebalia most notably in the shape and color of the pigmented region of the eyes, armature of the antennule and antenna, extent that the carapace covers the abdominal somites, epimeron of pereonite 4, dentition of the protopod of the third and fourth pleopod, details of the pleonite border spination, and length of the terminal seta of the caudal furca.
Experimental and Numerical Investigation of the Solar Chimney Power Plant’s Turbine

The solar chimney power plant is a relatively new electricity generation concept, based on renewable energy, combining the greenhouse effect with the chimney suction. The solar chimney powerplant consists of three parts, the solar collector, the chimney and the turbine generator unit, of which the study was focused on the later part. To evaluate the turbine performance inside the solar chimney powerplant, experimental system was constructed in Aswan, Egypt that has a metrological site (23°58'N and 32°47'E) occurs. The system was constructed to evaluate the performance of the solar chimney turbine and power generation characteristic in the hottest site where Aswan is located at the nearest of the Tropic of Cancer at the summer season. Velocity, electric power generation and the turbine efficiency are studying in this work. The numerical analyses were performed by using a commercial code CFX, ANSYS 16.1 to simulate the flow through the turbine and overall system. The study shows that the range of power generated (1.2 W - 4.4 W). It can be estimated, according to the results, the variation trend in pressure drops with the turbine rotation speed increase with small differences when the turbine rotation speed surpasses 1800 rpm with average efficiency of 57%. It is concluded that the theoretical model is basically valid for the system under study, and the CFD simulation can be used conveniently to predict the performance of the system, the comparison between them and experimental result shows a good agreement.
Theory of nonlinear microwave absorption by interacting two-level systems

The microwave absorption and noise caused by quantum two-level systems (TLS) dramatically suppress the coherence in Josephson junction qubits that are promising candidates for a quantum information applications. Microwave absorption by TLSs is not clearly understood yet because of the complexity of their interactions leading to the spectral diffusion. Here, the theory of the non-linear absorption in the presence of spectral diffusion is developed using the generalized master equation formalism. The theory predicts that the linear absorption regime holds while a TLS Rabi frequency is smaller than their phase decoherence rate. At higher external fields, a novel non-linear absorption regime is found with the loss tangent inversely proportional to the intensity of the field. The theory can be generalized to acoustic absorption and lower dimensions realized in superconducting qubits.
Planning and Performance: The Effect of Form Focused Guided Planning on Learner Performance

Task-based language teaching (TBLT) has been a dominant approach in the field of ELT for some time now. However, it has complexities regarding its use in a foreign language context. It is said that focusing only on interaction may not be enough in guiding learners to use language correctly, so learners need exposure to grammar rules, and teachers presume that TBLT does not allow it. But, learners’ attention could be directed to the grammar forms during task planning to facilitate noticing of linguistic code. To this end, this small-scale study collects discourse data from an adult EFL learner to evaluate whether guiding learners’ attention to grammar during pre-task planning is of any help. The study concludes that guiding learners’ attention facilitates in producing more accurate and complex discourse than leaving learners on their own during the task planning. DOI: http://dx.doi. org/10.3126/nelta.v18i1-2.10333 Journal of NELTA, Vol 18 No. 1-2, December 2013; 92-104
Deposited in DRO : 27 March 2018 Version of attached le : Peer-review status of attached

Rapid groundwater depletion from the northwestern Indian aquifer system in the western Indo-Gangetic basin has raised serious concerns over the sustainability of groundwater and the livelihoods that depend on it. Sustainable management of this aquifer system requires that we understand the sources and rates of groundwater recharge, however, both these parameters are poorly constrained in this region. Here we analyse the isotopic (dO, dH and tritium) compositions of groundwater, precipitation, river and canal water to identify the recharge sources, zones of recharge, and groundwater flow in the Ghaggar River basin, which lies between the Himalayan-fed Yamuna and Sutlej River systems in northwestern India. Our results reveal that local precipitation is the main source of groundwater recharge. However, depleted dO and dH signatures at some sites indicate recharge from canal seepage and irrigation return flow. The spatial variability of dO, dH, d-excess, and tritium reflects limited lateral connectivity due to the heterogeneous and anisotropic nature of the aquifer system in the study area. The variation of tritium concentration with depth suggests that groundwater above c. 80 mbgl is generally modern water. In contrast, water from below c. 80 mbgl is a mixture of modern and old waters, and indicates longer residence time in comparison to groundwater above c. 80 mbgl. Isotopic signatures of dO, dH and tritium suggest significant vertical recharge down to a depth of 320 mbgl. The spatial and vertical variations of isotopic signature of groundwater reveal two distinct flow patterns in the aquifer system: (i) local flow (above c. 80 mbgl) throughout the study area, and (ii) intermediate and regional flow (below c. 80 mbgl), where water recharges aquifers through large-scale lateral flow as well as vertical infiltration. The understanding of spatial and vertical recharge processes of groundwater in the study area provides important baseline knowledge for developing a sustainable groundwater management plan for the northwestern Indian
Environmental Dependencies Low Selectivity Dynamic Boundaries Non-Linear Response Signal Drift Systematic Errors Internal Error Sources External Error Sources Calibration Models Temperature and Humidity Correction Offset and Gain Calibration Sensor Array Calibration Network ReCalibration Blind Colla

Air pollution is a major concern for public health and urban environments. Conventional air pollution monitoring systems install a few highly accurate, expensive stations at representative locations. Their sparse coverage and low spatial resolution are insufficient to quantify urban air pollution and its impacts on human health and environment. Advances in lowcost portable air pollution sensors have enabled air pollution monitoring deployments at scale to measure air pollution at high spatiotemporal resolution. However, it is challenging to ensure the accuracy of these low-cost sensor deployments because the sensors are more error-prone than high-end sensing infrastructures and they are often deployed in harsh environments. Sensor calibration has proven to be effective to improve the data quality of low-cost sensors and maintain the reliability of longterm, distributed sensor deployments. In this article, we review the state-of-the-art low-cost air pollution sensors, identify their major error sources, and comprehensively survey calibration models as well as network re-calibration strategies suited for different sensor deployments. We also discuss limitations of exiting methods and conclude with open issues for future sensor calibration research.
1.25 Gbps AND 2.5 Gbps DATA RATE TRANSMISSION OF 2D-CAP MODULATION FOR ACCESS NETWORK

We have investigated the CAP modulation format at different data streams for access network and be simulated by using VPI software. The CAP signals with 1.25 Gbps and 2.5 Gbps are successfully transmitted over 20 km of SMF with 1550 nm SM-VCSELs. The 3.79 b/s/Hz and 7.58 b/s/Hz of spectral efficiency are reported for 2D-CAP of 1.25 Gb/s and 2.5 Gb/s respectively.
Non-existence of three-dimensional travelling water waves with constant non-zero vorticity

Abstract We prove that there are no three-dimensional bounded travelling gravity waves with constant non-zero vorticity on water of finite depth. The result also holds for gravity–capillary waves under a certain condition on the pressure at the surface, which is satisfied by sufficiently small waves. The proof relies on unique continuation arguments and Liouville-type results for elliptic equations.
Consistency of adaptive importance sampling and recycling schemes

JEAN-MICHEL MARIN PIERRE PUDLO and MOHAMMED SEDKI3,† Université de Montpellier, Institut Montpellirain Alexander Grothendieck IMAG, Place E. Bataillon, 34095 Montpellier CEDEX, France. E-mail: jean-michel.marin@umontpellier.fr Aix Marseille Université, CNRS, Centrale Marseille, I2M UMR 7373, 13453, Marseille CEDEX 13, France. E-mail: pierre.pudlo@univ-amu.fr Université Paris-Sud, U1181, Hôpital Paul Brousse, Bât. Inserm 15/16, 16 Avenue Paul Vaillant-Couturier 94807 Villejuif CEDEX, France. E-mail: †mohammed.sedki@u-psud.fr
Common Resource State for Preparing Multipartite Quantum Systems via Local Operations and Classical Communication

Given a set of multipartite entangled states, can we find a common state to prepare them by local operations and classical communication? Such a state, if exists, will be a common resource for the given set of states. We completely solve this problem for bipartite pure states case by explicitly constructing a unique optimal common resource state for any given set of states. In the multipartite setting, the general problem becomes quite complicated, and we focus on finding nontrivial common resources for the whole multipartite state space of given dimensions. We show that GHZ_3 is a nontrivial common resource for three-qubit systems.
Matching Multi-Sensor Remote Sensing Images via an Affinity Tensor

Matching multi-sensor remote sensing images is still a challenging task due to textural changes and non-linear intensity differences. In this paper, a novel matching method is proposed for multi-sensor remote sensing images. To establish feature correspondences, an affinity tensor is used to integrate geometric and radiometric information. The matching process consists of three steps. First, features from an accelerated segment test are extracted from both source and target images, and two complete graphs are constructed with their nodes representing these features. Then, the geometric and radiometric similarities of the feature points are represented by the three-order affinity tensor, and the initial feature correspondences are established by tensor power iteration. Finally, a tensor-based mismatch detection process is conducted to purify the initial matched points. The robustness and capability of the proposed method are tested with a variety of remote sensing images such as Ziyuan-3 backward, Ziyuan-3 nadir, Gaofen-1, Gaofen-2, unmanned aerial vehicle platform, and Jilin-1. The experiments show that the average matching recall is greater than 0.5, which outperforms state-of-the-art multi-sensor image-matching algorithms such as SIFT, SURF, NG-SIFT, OR-SIFT and GOM-SIFT.
Inspiral, merger, and ringdown of unequal mass black hole binaries: A multipolar analysis

We study the inspiral, merger, and ringdown of unequal mass black hole binaries by analyzing a catalogue of numerical simulations for seven different values of the mass ratio (from q=M2/M1=1 to q=4). We compare numerical and post-Newtonian results by projecting the waveforms onto spin-weighted spherical harmonics, characterized by angular indices (l,m). We find that the post-Newtonian equations predict remarkably well the relation between the wave amplitude and the orbital frequency for each (l,m), and that the convergence of the post-Newtonian series to the numerical results is nonmonotonic. To leading order, the total energy emitted in the merger phase scales like η2 and the spin of the final black hole scales like η, where η=q/(1+q)2 is the symmetric mass ratio. We study the multipolar distribution of the radiation, finding that odd-l multipoles are suppressed in the equal mass limit. Higher multipoles carry a larger fraction of the total energy as q increases. We introduce and compare three different definitions for the ringdown starting time. Applying linear-estimation methods (the so-called Prony methods) to the ringdown phase, we find resolution-dependent time variations in the fitted parameters of the final black hole. By cross correlating information from different multipoles, we show that ringdown fits can be used to obtain precise estimates of the mass and spin of the final black hole, which are in remarkable agreement with energy and angular momentum balance calculations.
Depression of the Aging Parents Who Lost Their Only Child in China

The CES-D scale is used to investigate depression of 201 aging parents who lost their only child in China. The results show that the bereaved parents have greater depression than the elder individuals in the general population. The results also indicate that sudden death and poor health have a significant positive relationship with depression of older parents who lost only one child. There is significant negative relationships between PTG and depression of older parents who lost only one child. The findings suggested the necessity of exploring psychological well-being of child-deceased elders and importance of developing interventions to assist these elders achieve posttraumatic growth from loss of their child.
On the Applications of Robust PCA in Image and Video Processing

Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse matrices offers a powerful framework for a large variety of applications such as image processing, video processing, and 3-D computer vision. Indeed, most of the time these applications require to detect sparse outliers from the observed imagery data that can be approximated by a low-rank matrix. Moreover, most of the time experiments show that RPCA with additional spatial and/or temporal constraints often outperforms the state-of-the-art algorithms in these applications. Thus, the aim of this paper is to survey the applications of RPCA in computer vision. In the first part of this paper, we review representative image processing applications as follows: 1) low-level imaging such as image recovery and denoising, image composition, image colorization, image alignment and rectification, multifocus image, and face recognition; 2) medical imaging such as dynamic magnetic resonance imaging (MRI) for acceleration of data acquisition, background suppression, and learning of interframe motion fields; and 3) imaging for 3-D computer vision with additional depth information such as in structure from motion (SfM) and 3-D motion recovery. In the second part, we present the applications of RPCA in video processing which utilize additional spatial and temporal information compared to image processing. Specifically, we investigate video denoising and restoration, hyperspectral video, and background/foreground separation. Finally, we provide perspectives on possible future research directions and algorithmic frameworks that are suitable for these applications.
Drought-sensitivity of fine dust in the US Southwest: Implications for air quality and public health under future climate change

We investigate the present-day sensitivity of fine dust levels in the US Southwest to regional drought conditions and use the observed relationships to assess future changes in fine dust levels and associated health impacts under climate change. Empirical Orthogonal Function analysis reveals that the most dominant mode of fine dust interannual variability for each season consists of a pattern of large-scale co-variability across the Southwest. This mode is strongly correlated to the Standardized Precipitation-Evapotranspiration Index (SPEI) accumulated over 1–6 months in local and surrounding regions spanning the major North American deserts. Across the seasons, a unit decrease in the 2 month SPEI averaged over the US Southwest and northern Mexico is significantly associated with increases in Southwest fine dust of 0.22–0.43 μg m−3. We apply these sensitivities to statistically downscaled meteorological output from 22 climate models following two Representative Concentration Pathways (RCPs), and project future increases in seasonal mean fine dust of 0.04–0.10 μg m−3 (5%–8%) under RCP2.6 and 0.15–0.55 μg m−3 (26%–46%) under RCP8.5 relative to the present-day (2076–2095 vs. 1996–2015). Combined with the same projections of future population and baseline incidence rates, annual premature mortality attributable to fine dust exposure could increase by 140 (24%) deaths under RCP2.6 and 750 (130%) deaths under RCP8.5 for adults aged ≥30 years, and annual hospitalizations due to cardiovascular and respiratory illnesses could increase by 170 (59%) admissions under RCP2.6 and 860 (300%) admissions under RCP8.5 for adults aged ≥65 years in the Southwest relative to the present-day. Our results highlight a climate penalty that has important socioeconomic and policy implications for the US Southwest but is not yet widely recognized.
Automated design , accessible fabrication , and learning-based control on cable-driven soft robots with complex shapes

The emerging field of soft robots has shown great potential to outperform their rigid counterparts due to the soft and safe nature and the capability of performing complex and compliant motions. Many are built, but the designs are conservative and limited to regular shapes. The widely-used fabrication method contains bulky pumps, tethered tubings, and silicone elastomer that takes hours to fully cure. Control methods for soft robots, both model-based and learning-based, are investigated, but none of them is applied to soft robots with complex shapes. In this thesis, a set of tools and methodology is developed for cables-driven soft robots, including 1) an automated design system that generates optimal cable placement designs given desired configuration, 2) a forward simulator that predicts the soft body motion under cable contractions, 3) a fabrication pipeline that is fast, low-cost, and accessible to non-experts, and 4) various algorithms to solve inverse kinematics using finite-element simulation, supervised learning, and reinforcement learning.