bluuebunny/crossref_metadata_2025 huggingface dataset:
Can online self-reports assist in real-time identification of influenza vaccination uptake? A cross-sectional study of influenza vaccine-related tweets in the USA, 2013–2017
Authors: Huang Xiaolei , Smith Michael C , Jamison Amelia M , Broniatowski David A , Dredze Mark , Quinn Sandra Crouse , Cai Justin , Paul Michael J
Published: January 2019

Introduction

The Centers for Disease Control and Prevention (CDC) spend significant time and resources to track influenza vaccination coverage each influenza season using national surveys. Emerging data from social media provide an alternative solution to surveillance at both national and local levels of influenza vaccination coverage in near real time.

Objectives

This study aimed to characterise and analyse the vaccinated population from temporal, demographical and geographical perspectives using automatic classification of vaccination-related Twitter data.

Methods

In this cross-sectional study, we continuously collected tweets containing both influenza-related terms and vaccine-related terms covering four consecutive influenza seasons from 2013 to 2017. We created a machine learning classifier to identify relevant tweets, then evaluated the approach by comparing to data from the CDC’s FluVaxView. We limited our analysis to tweets geolocated within the USA.

Results

We assessed 1 124 839 tweets. We found strong correlations of 0.799 between monthly Twitter estimates and CDC, with correlations as high as 0.950 in individual influenza seasons. We also found that our approach obtained geographical correlations of 0.387 at the US state level and 0.467 at the regional level. Finally, we found a higher level of influenza vaccine tweets among female users than male users, also consistent with the results of CDC surveys on vaccine uptake.

Conclusion

Significant correlations between Twitter data and CDC data show the potential of using social media for vaccination surveillance. Temporal variability is captured better than geographical and demographical variability. We discuss potential paths forward for leveraging this approach.
Assessment of healthcare costs of amputation and prosthesis for upper and lower extremities in a Qatari healthcare institution: a retrospective cohort study
Authors: Al-Thani Hassan , Sathian Brijesh , El-Menyar Ayman
Published: January 2019

Objectives

To evaluate the healthcare cost of amputation and prosthesis for management of upper and lower extremities in a single institute.

Design

Retrospective cohort study conducted between 2000 and 2014.

Participants

All patients who underwent upper (UEA) and lower extremities amputation (LEA) were identified retrospectively from the operating theatre database. Collected data included patient demographics, comorbidities, interventions, costs of amputations including hospitalisation expenses, length of hospital stay and mortality.

Outcome measures

Incidence, costs of amputation and hospitalisation according to the level of the amputation and cost per bed days, length of hospital stay and mortality.

Results

A total of 871 patients underwent 1102 (major 357 and minor 745) UEA and LEA. The mean age of patients was 59.4±18.3, and 77.2% were males. Amputations were most frequent among elderly (51.1%). Two-third of patients (75.86%, 95% CI 72.91% to 78.59%) had diabetes mellitus. Females, Qatari nationals and non-diabetics were more likely to have higher mean amputation and hospital stay cost. The estimated total cost for major and minor amputations were US$3 797 930 and US$2 344 439, respectively. The cumulative direct healthcare cost comprised total cost of all amputations, bed days cost and prosthesis cost and was estimated to be US$52 126 496 and per patient direct healthcare procedure cost was found to be US$59 847. The total direct related therapeutic cost was estimated to be US$26 096 046 with per patient cost of US$29 961. Overall per patient cost for amputation was US$89 808.

Conclusions

The economic burden associated with UEA and LEA-related hospitalisations is considerable. Diabetes mellitus, advanced age and sociodemographic factors influence the incidence of amputation and its associated healthcare cost. The findings will help to showcase the economic burden of amputation for better management strategies to reduce healthcare costs. Furthermore, larger prospective studies focused on cost-effectiveness of primary prevention strategies to minimise diabetic complication are warranted.
Prevalence and correlates of advance care directives among older Australians accessing health and residential aged care services: multicentre audit study
Authors: Detering Karen M , Buck Kimberly , Ruseckaite Rasa , Kelly Helana , Sellars Marcus , Sinclair Craig , Clayton Josephine M , Nolte Linda
Published: January 2019

Objectives

It is important that the outcomes of advance care planning (ACP) conversations are documented and available at the point of care. Advance care directives (ACDs) are a subset of ACP documentation and refer to structured documents that are completed and signed by competent adults. Other ACP documentation includes informal documentation by the person or on behalf of the person by someone else (eg, clinician, family). The primary objectives were to describe the prevalence and correlates of ACDs among Australians aged 65 and over accessing health and residential aged care services. The secondary aim was to describe the prevalence of other ACP documentation.

Design and setting

A prospective multicentre health record audit in general practices (n=13), hospitals (n=12) and residential aged care facilities (RACFs; n=26).

Participants

503 people attending general practice, 574 people admitted to hospitals and 1208 people in RACFs.

Primary and secondary outcome measures

Prevalence of one or more ACDs; prevalence of other ACP documentation.

Results

29.8% of people had at least one ACD on file. The majority were non-statutory documents (20.9%). ACD prevalence was significantly higher in RACFs (47.7%) than hospitals (15.7%) and general practices (3.2%) (p<0.001), and varied across jurisdictions. Multivariate logistic regression showed that the odds of having an ACD were positively associated with greater functional impairment and being in an RACF or hospital compared with general practice. 21.6% of people had other ACP documentation.

Conclusions

In this study, 30% of people had ACDs accessible and a further 20% had other ACP documentation, suggesting that approximately half of participants had some form of ACP. Correlates of ACD completion were greater impairment and being in an RACF or hospital. Greater efforts to promote and standardise ACDs across jurisdictions may help to assist older people to navigate and complete ACDs and to receive care consistent with their preferences.

Trial registration number

ACTRN12617000743369.
Fixed-dose combination antihypertensives and risk of medication errors
Authors: Moriarty Frank , Bennett Kathleen , Fahey Tom
Published: January 2019

Objective

While fixed-dose combinations (FDC) can improve adherence, they may add complexity to the prescribing/dispensing process, potentially increasing risk of medication errors. This study aimed to determine if prescriptions for antihypertensive FDCs increase the risk of therapeutic duplication and drug–drug interactions (DDI).

Methods

This retrospective observational study used administrative pharmacy claims data from the Irish Primary Care Reimbursement Service. Prescriptions dispensed to adults in 2015 were included if they contained an antihypertensive FDC, or the same drugs prescribed separately. The outcomes were therapeutic duplication and potentially serious DDI involving FDC drugs. Relative risk (RR) of these outcomes, adjusted for prescription and patient factors, was determined using generalised linear models with Poisson distributions and propensity score matching.

Results

This study included 307 833 FDC prescriptions (67.0%) and 151 632 separate component prescriptions. Half of patients prescribed FDCs were female with a mean age of 67.1 (SD 12.5) years and, compared with separate component prescriptions, FDCs were less often coprescribed with other cardiovascular medications. Therapeutic duplication occurred in 0.8% of prescriptions, most often involving calcium channel blockers, and 10.6% contained a DDI (most often amlodipine and simvastatin). The RR of therapeutic duplication on FDC prescriptions compared with separate component prescriptions was 1.46 (95% CI 1.17 to 1.83) and the adjusted RR was 2.06 (95% CI 1.64 to 2.60). For DDIs, there was no significant difference between FDC and separate component prescriptions after confounder adjustment.

Conclusions

This study found FDCs were associated with increased risk of duplication. When considering prescribing FDCs, this safety consideration should be weighed against potential benefits.
MicroRNA-134 deactivates hepatic stellate cells by targeting TGF-β activated kinase 1-binding protein 1
Authors: Wang Peiqin , Lei Shujuan , Wang Xiaohang , Xu Wenping , Hu Pingfang , Chen Fei , Zhang Xin , Yin Chuan , Xie Weifen
Published: January 2019

Aberrant expression of microRNAs is associated with liver fibrogenesis. We previously found that microRNA-134 (miR-134) expression was reduced in fibrosis-based hepatocarcinogenesis induced by diethylinitrosamine. Herein we investigate the role and mechanisms of miR-134 in hepatic fibrosis. Our data show that miR-134 expression is reduced in rat hepatic fibrogenesis induced by carbontetrachloride, bile duct ligation, and dimethylnitrosamine, as well as in activated hepatic stellate cells (HSCs). Moreover, miR-134 inhibited HSC proliferation, and decreased the expression of smooth muscle actin and collagen I in HSCs, whereas the miR-134 inhibitor increased HSC activation. MiR-134 also negatively regulated transforming growth factor-β-activated kinase 1-binding protein 1 (TAB1) expression in both human and rat HSCs by directly binding to its 3′ untranslated region. Importantly, TAB1 expression was significantly elevated during liver fibrogenesis and HSC activation. Knockdown of TAB1 inhibited the proliferation and fibrogenic behavior of HSCs, and significantly reduced the effect of the miR-134 inhibitor on HSC proliferation. Collectively, these data suggest that miR-134 inhibits the activation of HSCs via directly targeting TAB1, and the restoration of miR-134 or targeting TAB1 is of clinical significance in the treatment of liver fibrosis.
Successive matings produce opposite patterns on ejaculate volume and spermatozoa number in an ancient arthropod model with indirect sperm transfer
Authors: Vrech D.E. , Oviedo-Diego M.A. , Olivero P.A. , Peretti A.V.
Published: January 2019

The production of spermatophore and ejaculate is energetically expensive for males. High mating rates may accelerate sperm depletion and progressively decrease the size of the ejaculates. Sperm competition can shape spermatozoon numbers according to different signals and cues such as number of potential rivals or female mating status. Factors influencing patterns of sperm allocation have been neglected in terrestrial arthropods that transfer sperm indirectly using a complex sclerotized spermatophore deposited on the soil. We used the Neotropical scorpion Bothriurus bonariensis (C.L. Koch, 1842) to examine ejaculate volume, spermatozoon number, and spermatophore’s trunk length along three successive matings and their relationship with body size of males. Males mated and deposited a pre-insemination spermatophore every 10 days. Ejaculate volume and trunk length decreased, whereas spermatozoon number increased over matings. Male body size positively influenced ejaculate volume and trunk length interacted with mating event. High mating rates may decrease ejaculate volume. Sperm competition may produce increased spermatozoon number. Ejaculates are more energetically expensive than spermatozoa and larger males may better face the energetic requirements. Larger spermatophore trunks contain bigger ejaculate volume in the first two mating events, but this relationship disappears at the third mating event. Our discussion focuses on the factors responsible for the observed patterns.
Generalized eigenfunctions and scattering matrices for position-dependent quantum walks
Authors: Morioka Hisashi
Published: January 2019

We study the spectral analysis and the scattering theory for time evolution operators of position-dependent quantum walks. Our main purpose of this paper is the construction of generalized eigenfunctions of the time evolution operator. Roughly speaking, the generalized eigenfunctions are not square summable but belong to [Formula: see text]-space on [Formula: see text]. Moreover, we derive a characterization of the set of generalized eigenfunctions in view of the time-harmonic scattering theory. Thus we show that the S-matrix associated with the quantum walk appears in the singularity expansion of generalized eigenfunctions.
Magnetic vortices in the Abelian Higgs model with derivative interactions
Authors: Adhikari Prabal , Choi Jaehong
Published: January 2019

We study the properties of a single magnetic vortex and magnetic vortex lattices in a generalization of the Abelian Higgs model containing the simplest derivative interaction that preserves the [Formula: see text] gauge symmetry of the original model. The paper is motivated by the study of finite isospin chiral perturbation theory in a uniform, external magnetic field: since pions are Goldstone bosons of QCD (due to chiral symmetry breaking by the QCD vacuum), they interact through momentum-dependent terms. We find the asymptotic properties of single vortex solutions and compare them to the well-known solutions of the standard Abelian Higgs model. Furthermore, we study the vortex lattice solutions near the upper critical field using the method of “successive approximations,” which was originally used by Abrikosov in his seminal paper on type-II superconductors. We find the vortex lattice structure, which remains hexagonal as in the standard Abelian Higgs model, and condensation energy of the vortex lattices relative to the normal vacuum (in a uniform magnetic field).
Analysis of the strong vertices of ΣcND∗ and ΣbNB∗ in QCD sum rules
Authors: Yu Guo-Liang , Guan Rong-Hua , Wang Zhi-Gang
Published: January 2019

The strong coupling constant is an important parameter that can help us understand the strong decay behaviors of baryons. In our previous work, we have analyzed the strong vertices [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] in QCD sum rules. Following these works, we further analyze the strong vertices [Formula: see text] and [Formula: see text] using the three-point QCD sum rules under Dirac structures [Formula: see text] and [Formula: see text]. In this work, we first calculate strong form-factors considering contributions of the perturbative part and the condensate terms [Formula: see text], [Formula: see text] and [Formula: see text]. Then, these form-factors are used to fit into analytical functions. According to these functions, we finally determine the values of the strong coupling constants for these two vertices [Formula: see text] and [Formula: see text].
A UV complete picture of black hole conforming to low energy effective field theory
Authors: Paik Biplab
Published: January 2019

In this paper, we propose a UV complete, quantum improved picture of a black hole geometry that conforms to the IR gravity of effective field theory. Our work builds on identifying an effective space-distributed notion of black hole fluid in quantum improved regular Einstein gravity and its theoretical correspondence with a cosmology inspired power law fluctuation of matter. Hence, we make use of phenomenological asymptotic scales of matter fluctuation in static space to consequently derive a UV complete line-element of black hole space–time. In this appraisal, it gets explicit how principle of causality is preserved even while there is an effective spread of black hole fluid across horizon(s). Gravity changes from its conventional classical geometry-state to a quantum masked profile across a hypersurface of characteristic radius [Formula: see text]. We make analyses that probe the newly proposed quantum improved gravity in the contexts of regularity of Einstein fields, complete predictability of Hawking radiation process, and first law of black hole thermodynamics. It emerges that quantum black hole geometry self-regulates a regular timelike core that is abide by every quantum theoretical constraint while being flat around its center.
On the nonperturbative graviton propagator
Authors: Khatsymovsky V. M.
Published: January 2019

To reduce general relativity to the canonical Hamiltonian formalism and construct the path (functional) integral in a simpler and, especially in the discrete case, less singular way, one extends the configuration superspace, as in the connection representation. Then we perform functional integration over connection. The module of the result of this integration arises in the leading order of the expansion over a scale of the discrete lapse-shift functions and has maxima at finite (Planck scale) areas/lengths and rapidly decreases at large areas/lengths, as we have mainly considered previously; the phase arises in the leading order (Regge action) of the stationary phase expansion.

Now we consider the possibility of confining ourselves to these leading terms in a certain region of the parameters of the theory; consider background edge lengths as an optimal starting point for the perturbative expansion of the theory; estimate the background length scale and consider the form of the graviton propagator. In parallel with the general simplicial structure, we consider the simplest periodic simplicial structure with a part of the variables frozen (“hypercubic”), for which also the propagator in the leading approximation over metric variations can be written in a closed form.
Quantization of fractional singular Lagrangian systems using WKB approximation
Authors: Rabei Eqab M. , Al Horani Mohammed
Published: January 2019

In this paper, the fractional singular Lagrangian system is studied. The Hamilton–Jacobi treatment is developed to be applicable for fractional singular Lagrangian system. The equations of motion are obtained for the fractional singular systems and the Hamilton–Jacobi partial differential equations are obtained and solved to determine the action integral. Then the wave function for fractional singular system is obtained. Besides, to demonstrate this theory, the fractional Christ-Lee model is discussed and quantized using the WKB approximation.
Holographic entanglement entropy in cutoff AdS
Authors: Park Chanyong
Published: January 2019

We investigate the holographic entanglement entropy of deformed conformal field theories which are dual to a cutoff AdS space. The holographic entanglement entropy evaluated on a three-dimensional Poincaré AdS space with a finite cutoff can be reinterpreted as that of the dual field theory deformed by either a boost or [Formula: see text] deformation. For the boost case, we show that, although it trivially acts on the underlying theory, it nontrivially affects the entanglement entropy due to the length contraction. For a three-dimensional AdS, we show that the effect of the boost transformation can be reinterpreted as the rescaling of the energy scale, similar to the [Formula: see text] deformation. Under the boost and [Formula: see text] deformation, the [Formula: see text]-function of the entanglement entropy exactly shows the features expected by the Zamolodchikov’s [Formula: see text]-theorem. The deformed theory is always stationary at a UV fixed point and monotonically flows to another CFT in the IR fixed point. We also show that the holographic entanglement entropy in a Poincaré cutoff AdS space can reproduce the exact same result of the [Formula: see text] deformed theory on a two-dimensional sphere.
Schedulability Analysis of Graph-Based Real-Time Task Model with Precedence Constraints
Authors: Xu Rongfei , Zhang Li , Ge Ning , Blanc Xavier
Published: January 2019

The timing requirements of real-time systems can be guaranteed by well-designed scheduling policies. The analysis of such scheduling uses an abstract task model of the system to diagnose the practicability of timing requirements. The task models have evolved from periodic models to more sophisticated graph-based ones, among which digraph real-time (DRT) task model is the most applicable because of its good expressiveness and analysis efficiency. However, the DRT model cannot support the commonly used precedence constraints within or between tasks. In this paper, we propose a new task model that extends the DRT model to support precedence constraints. Based on our model, we present two methods of uniprocessor schedulability analysis for static priority scheduling policy and earliest deadline first (EDF) scheduling policy. We also introduce an optimization technique to improve the efficiency of model analysis. Our experiments show that, despite a high computational complexity of the problem, our approach scales very well for large sets of tasks with precedence constraints.
An Ensemble Approach for Detecting Anomalous User Behaviors
Authors: Xi Xiangyu , Zhang Tong , Ye Wei , Wen Zhao , Zhang Shikun , Du Dongdong , Gao Qing
Published: January 2019

An intruder of a company’s network may use stolen login credentials to silently collect sensitive data. Such malicious user behavior is difficult to detect as long as it does not trigger access violation or data leak alert. In this paper, we propose to use an ensemble of three unsupervised anomaly detection algorithms, namely OCSVM, RNN and Isolation Forest, to detect abnormal user behavior patterns. Besides, an User Behavior Analytics (UBA) Platform is proposed to collect logs, extract features and conduct experiments. The experiment results indicate that our algorithm outperforms each individual algorithm with recall of 96.55% and precision of 91.24% on average, while both OCSVM and RNN suffer from anomalies in the training set, and [Formula: see text] produces more false positives and false negatives in prediction.
Evolutionary Propositionalization of Multi-Relational Data — Research Notes
Authors: Kassarnig Valentin , Wotawa Franz
Published: January 2019

Propositionalization has been proven to be a very effective solution for multi-relational data mining problems. The approaches usually follow a two-step principle: transforming the relational data into a single, flat table and applying a propositional learning algorithm. During the transformation, the target table gets expanded by adding many new features summarizing the information of the non-target tables. Based on the used feature construction strategy, this leads to a table of very high dimensionality with a lot of irrelevant and/or redundant features that can negatively affect the predictive performance. In this paper, we propose a modification of the traditional two-step framework to overcome such problems. The proposed approach evaluates the features during the construction phase and reports only a subset of highly predictive features to the propositional learner. We present an implementation of this approach using a genetic algorithm to search for an optimal feature subset. Our experiments on a number of benchmark datasets suggest that the modified framework can help propositionalization methods to significantly improve their predictive performance.
Effort Estimation in Agile Software Development: An Updated Review
Authors: Dantas Emanuel , Perkusich Mirko , Dilorenzo Ednaldo , Santos Danilo F. S. , Almeida Hyggo , Perkusich Angelo
Published: January 2019

One of the main issues of an agile software project is how to accurately estimate development effort. In 2014, a Systematic Literature Review (SLR) regarding this subject was published. The authors concluded that there were several gaps in the literature, such as the low level of accuracy of the techniques and little consensus on appropriate cost drivers. The goal of our work is to provide an updated review of the state of the art based on this reference SLR work. We applied a Forward Snowballing approach, in which our seed set included the former SLR and its selected papers. We identified a strong indication of solutions based on Artificial Intelligence and Machine Learning methods for effort estimation in Agile Software Development (ASD). We also identified that there is a gap in terms of agreement on suitable cost drivers. Thus, we applied Thematic Analysis in the selected papers and identified a representative set of 10 cost drivers for effort estimation. This updated review of the state of the art resulted in 24 new relevant papers selected.
Application of periodic density functional theory calculations for exploring copper(II) coordination effects on the mesophase behavior of p-n-alkoxybenzoic acids
Authors: Wang Li-Fen , You Cheng-Xian
Published: January 2019

Copper(II) benzoates ([Formula: see text]OBA-Cu) with various terminal alkoxy carbon numbers, [Formula: see text]–12, were prepared from [Formula: see text]-[Formula: see text]-alkoxy benzoic acids (nOBAs). Fourier transform infrared (IR) experiments suggested that dimerization through copper(II) chelating bidentate coordination created [Formula: see text]OBA-Cu with a linear rod-like structure, similar to the hydrogen-bonded structure of its parent [Formula: see text]OBA. However, the coordination structure of [Formula: see text]OBA-Cu changed during heating. Periodic density functional theory calculations provided valuable insight into the possible arrangement of the parent and copper(II)-coordinated [Formula: see text]OBAs. The formation of binuclear complexes between two adjacent [Formula: see text]OBA-Cu dimers forced [Formula: see text]OBA-Cu to arrange itself in a layer and exhibit smectic A mesophase. Accordingly, four types of IR stretching absorption of benzoyl carbonyl were observed in binuclear [Formula: see text]OBA-Cu complexes, replacing the original symmetric and asymmetric vibrations of benzoyl carboxylate in chelating bidentate coordination. The lateral association by [Formula: see text]–[Formula: see text] interactions between adjacent parent [Formula: see text]OBA dimers preferred a progressive smectic C arrangement. The origin of the odd–even effect was understood from the consideration of the molecular structure.
Adaptive Finite Element Method of Lines with Local Mesh Refinement in Maximum Norm Based on Element Energy Projection Method
Authors: Yuan Si , Dong Yiyi , Xing Qinyan , Fang Nan
Published: January 2019

The reliable and efficient self-adaptive analysis is a modern goal of various numerical computations. Most adaptivity methods, however, adopt energy norm to measure errors, which may not be the most natural and convenient means, e.g., for problems with locally singular gradient of displacement. Based on the Element Energy Projection (EEP) super-convergent technique in the Finite Element Method of Lines (FEMOL) which is a general and powerful semi-discrete method, reliable error estimates of displacements in maximum norm can be obtained anywhere on the FEMOL mesh and hence adaptive FEMOL by maximum norm becomes feasible. However, to tackle singularity problems effectively and efficiently, an automatic and flexible local mesh refinement strategy is required to generate meshes of high quality for more efficient adaptive FEMOL analysis. Taking the two-dimensional Poisson equation as the model problem, the paper firstly introduces the FEMOL and EEP methods with interface sides resulting from local mesh refinement. Then a local mesh refinement strategy and corresponding adaptive algorithm are presented. The numerical results given show that the proposed adaptive FEMOL with local mesh refinement can produce displacement solutions satisfying the specified tolerances in maximum norm and the adaptively-generated meshes reasonably reflect the local difficulties inherent in the physical problems without much redundant accuracy.
What Make the Impact of the Financial Crisis on Innovation Different Across European Countries?
Authors: Nguyen Nguyet Thi Minh , Duong Chau Minh
Published: January 2019

This paper finds that the financial crisis has tremendously impacted innovation in most European countries with Greece and Lithuania being the most affected while Finland and Austria have the least negative effect on their innovation activities. Greece and Lithuania’s national innovation systems share many common characteristics which are in sharp contrast to those shared by Finland and Austria, including most notably culture, quality of the higher education system, science and technological capability, and structure of the economy. Those identified distinctions along the main dimensions of the national innovation systems between the most and least affected countries could to a large extent explain why the effect of the financial crisis is heterogeneous across European countries.
A Meshless Method Based on the Nonsingular Weight Functions for Elastoplastic Large Deformation Problems
Authors: Liu Fengbin , Wu Qiang , Cheng Yumin
Published: January 2019

In this study, based on a nonsingular weight function, the improved element-free Galerkin (IEFG) method is presented for solving elastoplastic large deformation problems. By using the improved interpolating moving least-squares (IMLS) method to form the approximation function, and using Galerkin weak form based on total Lagrange formulation of elastoplastic large deformation problems to form the discretilized equations, which is solved with the Newton–Raphson iteration method, we obtain the formulae of the IEFG method for elastoplastic large deformation problems. In numerical examples, the influences of the penalty factor, scale parameter of influence domain and weight functions on the computational accuracy are analyzed, and the numerical solutions show that the IEFG method for elastoplastic large deformation problems has higher computational efficiency and accuracy.
Hygrothermal Post-Buckling Analysis of Laminated Composite Beams
Authors: Akbaş Şeref Doğuşcan
Published: January 2019

The main goal in this paper is to make analysis of post-buckling of laminated composite beams under hygrothermal effect. In solution of problem, finite element method is utilized with the first shear beam theory. Total Lagrangian approach is used nonlinear kinematic relations. It is known that post-buckling problems are geometrically nonlinear problems. In nonlinear solution of problem, the Newton–Raphson method is used based on incremental displacement. The novelty in this study is to investigate the hygrothermal post-buckling analysis of laminated composite beams by using total Lagrangian nonlinear approach. The influences of temperature, moisture, fiber orientation angles, stacking sequence of laminas on post-buckling responses of composite laminated beam are illustrated and examined in numerical results. The results show that fiber orientation angles, stacking sequence of laminas play an important role in hygrothermal post-buckling responses of laminated beams. Also, comparison studies are performed with special results of published paper.
Microstructure and Electromagnetic Properties of Y3+ Substituted Mg-Mn Nanocrystalline Ferrites Via Hydrothermal Procedure
Authors: Xu Renxin , Yang Huan , Sun Huajun , Zhou Jing , Yue Zhijun , Gao Xinhua
Published: January 2019

Mg[Formula: see text]Mn[Formula: see text]YxFe[Formula: see text]O4 ([Formula: see text], 0.025, 0.050 and 0.075) nanocrystalline is synthesized via hydrothermal technique. Single cubic spinel phase is confirmed by XRD and the formation of Mg[Formula: see text]Mn[Formula: see text]YxFe[Formula: see text]O4 is verified by EDS. The average size of the nanoferrites is around 80 nm, which is examined by TEM image. Y[Formula: see text] substituted Mg-Mn nanoferrites exhibit low saturation magnetization ([Formula: see text] and coercivity ([Formula: see text]. Especially, the nanoferrites with [Formula: see text] show the lowest [Formula: see text] and [Formula: see text] of 46.96[Formula: see text]emu/g and 12.04[Formula: see text]Oe, respectively. The ferrite composites present that the resistivity and the magnetic loss are less than [Formula: see text] and 0.7 in the range of 2–18[Formula: see text]GHz, respectively. The low coercivity and high resistivity indicate that the addition of Y[Formula: see text] contributes to the synthesis of the excellent soft magnetic materials.
Hydrothermal Synthesis of Band Gap-Tunable Oxygen-Doped g-C3N4 with Outstanding “Two-Channel” Photocatalytic H2O2 Production Ability Assisted by Dissolution–Precipitation Process
Authors: Wang Hui , Guan Yuanhao , Hu Shaozheng , Pei Yanbo , Ma Wentao , Fan Zhiping
Published: January 2019

Here, band gap-tunable oxygen-doped graphitic carbon nitride (g-C3N4) with outstanding “two-channel” photocatalytic H2O2 production ability was prepared via hydrothermal treatment assisted by dissolution–precipitation process. XRD, N2 adsorption, UV–Vis, Fourier-transform infrared spectra, SEM, electrochemical impedance spectra, XPS and photoluminescence were used to characterize the obtained catalysts. The photocatalytic H2O2 production ability of as-prepared catalyst was investigated. The results show that oxygen doping not only changes the morphology of catalyst, decreases the band gap energy and promotes the separation efficiency of photogenerated electrons and holes, but also tunes the CB and VB potentials. As-prepared oxygen-doped g-C3N4 displays a H2O2 concentration of 3.8[Formula: see text]mmol[Formula: see text]L[Formula: see text], more than 7.6 times higher than that of neat g-C3N4. Because of the shift of CB and VB potentials, not only the CB electrons of oxygen-doped g-C3N4 reduce O2 to form H2O2, but also the VB holes can oxidize OH− to form [Formula: see text]OH, which subsequently react with each other to form H2O2. Such “two-channel pathway” causes the remarkably promoted H2O2 production ability.
Abundant Manganese Complex-Anchored BiOI Hybrid Photocatalyst for Visible Light-Driven CO2 Reduction
Authors: Xin Xin , Ma Ning , Hu Changying , Liang Qi , Bian Zhaoyong
Published: January 2019

An abundant manganese complex-anchored BiOI hybrid system for CO2 photocatalytic conversion was constructed. Layered BiOI and tricarbonyl Mn bipyridyl complex with carboxyl acid groups were connected with covalent bonds and used as visible light antenna and CO2 reduction reaction centers, respectively. The covalent connection of this hybrid system benefits the transfer of electrons from the semiconductor to the Mn complex. The anchoring group (carboxyl) is the key to CO2 reduction for the direct coupling of the two units, facilitating the transfer of electrons from BiOI to the manganese complexes. The photocatalytic properties and stability of the tricarbonyl Mn–bipyridyl complex were significantly enhanced with the aid of anchored BiOI. A high turnover number ([Formula: see text]) of HCOO− formation from CO2 could be achieved using this hybrid system under visible light irradiation.
Lyapunov function and global stability for a two-strain SEIR model with bilinear and non-monotone incidence
Authors: Bentaleb Dounia , Amine Saida
Published: January 2019

In this paper, we study a multi-strain SEIR epidemic model with both bilinear and non-monotone incidence functions. Under biologically motivated assumptions, we show that the model has two basic reproduction numbers that we noted [Formula: see text] and [Formula: see text]; and four equilibrium points. Using the Lyapunov method, we prove that if [Formula: see text] and [Formula: see text] are less than one then the disease-free equilibrium is Globally Asymptotically Stable, thus the disease will be eradicated. However, if one of the two basic reproduction numbers is greater than one, then the strain that persists is that with the larger basic reproduction number. And finally if both of the two basic reproduction numbers are equal or greater than one then the total endemic equilibrium is globally asymptotically stable. A numerical simulation is also presented to illustrate the influence of the psychological effect, of people to infection, on the spread of the disease in the population. This simulation can be used to determine the status of different diseases in a region using the corresponding data and infectious disease parameters.
The global dynamics of a discrete nonlinear hierarchical population system
Authors: He Ze-Rong , Chen Huai , Wang Shu-Ping
Published: January 2019

This paper is concerned with the global dynamics of a hierarchical population model, in which the fertility of an individual depends on the total number of higher-ranking members. We investigate the stability of equilibria, nonexistence of periodic orbits and the persistence of the population by means of eigenvalues, Lyapunov function, and several results in discrete dynamical systems. Our work demonstrates that the reproductive number governs the evolution of the population. Besides the theoretical results, some numerical experiments are also presented.
Interplay between reproduction and age selective harvesting: A case study of Hilsa (Tenualosa ilisha) fish at Sundarban estuary of northern Bay of Bengal, India
Authors: Jana Debaldev , Dutta Sachinandan , Samanta G. P.
Published: January 2019

New offspring due to sexual reproduction is not an instantaneous process from its birth, it takes time to be sexually mature. On the other hand, harvesting of commercially profitable fish population before the perfect size or weight is reached is not only a commercial loss but also risks the extinction of the population. Now, we discuss the issue of Ganges-Brahmaputra-Meghna basin, northern Bay of Bengal for the age-selective harvesting of Hilsa shad (Tenualosa ilisha) which lays eggs after its sexual maturation. Harvesting of hilsa before its sexual maturation risks its extinction and due to lamer body weight, it is not a commercially profitable policy. This is a reality of Sundarban estuary for hilsa fish harvesting, therefore, biologically and economically both India and Bangladesh are facing several problems. Empirical data of Frasergunje Fishing Harbor shows a clear picture as the supporting document of this mathematical problem.
VOLATILITY MEASURES, LIQUIDITY AND CREDIT LOSS PROVISIONS DURING PERIODS OF FINANCIAL DISTRESS
Authors: ANSELMI GIULIO
Published: January 2019

In this paper, we investigate the role of liquidity in banks lending activity and how liquidity provision is related to bank’s credit risk and others market-based risk measures, such as bank’s implied volatility skew from options traded on the market and realized volatility from futures contract on LIBOR, during periods of global financial distress. Credit risk is given by the ratio between loan loss reserves and total assets and we find that losses from lending activity force banks to build up new liquidity provisions only during the period of financial distress. Liquidity ratio is given by the sum of cash and short-term assets over total assets and we discovered that credit risk reduces liquidity ratio only in bad times, as this demand for liquid asset is suddenly switched on and the more reserves from loan losses the bank has, the more it cleans its balance sheet from long-term commitments in order to replenish its cash and short-term securities. When we control for market-based risk measures, we evidence that both implied volatility skew and LIBOR’s realized volatility are negatively related with the liquidity ratio and are useful in predicting a distress in bank’s liquidity holdings.
The Belt and Road Initiative: China’s New Geopolitical Strategy?
Authors: Zhang Zhexin
Published: January 2019

Since its launch in late 2013, China’s Belt and Road Initiative (BRI) has achieved many tangible results that may have lasting effect on the social and economic development of host countries and on the geopolitical dynamics of the world. Its emergence in international political discourse is changing the basic thinking and logic of traditional geopolitical competition. While Western countries tend to interpret the BRI as part of China’s hidden geopolitical strategy to ultimately rule the world, Chinese and most developing nations see it as China’s international cooperation strategy to enhance global connectivity, communication and cooperation, so as to foster a more balanced and equitable world system. To maintain a favorable international environment for further progress of the BRI, China needs to better explain the details concerning the initiative as well as its role in the country’s grand strategy of peaceful development. Meanwhile, China must keep striving to match its words with its deeds in global arenas, so as to win more trust and support from the international community in jointly implementing the initiative.
Automatic intersection extraction and building arrangement with StarCraft II maps
Authors: Cheng Yuanbin , Chiang Yao-Yi
Published: January 2019

In StarCraft, buildings arrangement near the intersections is one of most the critical strategic decisions in the early stage. The high time complexity of the buildings arrangement makes it difficult for AI bot to make the real-time decision. This paper presents an approach to analyze the intersection in StarCraft II maps. We propose a radar-like algorithm to automatically detect the intersection and use a designed heuristic search algorithm to arrange the building for building the wall. Our method can obtain the optimal solution while meeting the real-time requirement.
SRC
Authors: Zhou Xiran
Published: January 2019

Object detection is an essential remote sensing data application that attempts to detect and recognize semantically meaningful instances from complicated context and background [1]. Recently, a great number of works have reported that the state-of-the-art convolutional neural networks (CNNs), significantly facilitates automatically detecting a predefined class of object from high resolution aerial or satellite imageries [2]. However, different from the object in a photo, the objects in remote sensing imageries are always represented by largely varied scale or spatial resolution. Scale has become a critical attribute for recognizing an object from aerial or satellite imagery [3]. Up to now, the state-of-the-art DCNNs for object detection requires predefined scale, which produces a big challenge to automatically adjust the representative scale for an object on the ground [3-4].
GIR'18 Workshop Report 12th ACM SIGSPATIAL workshop on geographic information retrieval seattle, USA 6

th

November 2018
Authors: Purves Ross S. , Jones Christopher B.
Published: January 2019

Geographic Information Retrieval (GIR) addresses challenges of gaining access to documents and their content that relate to geographical locations. The field can be regarded as a fusion of Information Retrieval (IR), which is concerned with information in unstructured documents and associated methods of natural language processing, with Geographical Information Systems, which are oriented to structured data, and to a range of spatial analytical and data access methods that are relevant to GIR. This workshop is the twelfth of a series of workshops, the first of which was held in 2004. The topics covered by the workshops have have included methods for recognising and disambiguating references to place names in text (referred to as geo-parsing); determining the geographic scope of documents; developing gazetteers and ontologies to maintain knowledge of toponyms and geographic concepts; spatio-textual indexing methods that combine inverted file methods with those of spatial database indexing; managing vagueness and uncertainty in geographic terminology; extracting geo-spatial facts and events from documents; and evaluating the performance of geo-information retrieval systems.
LocalRec 2018 workshop report the second ACM SIGSPATIAL workshop on recommendations for location-based services and social networks
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Seattle, Washington, USA - November 6, 2018
Authors: Bouros Panagiotis , Renz Matthias , Sacharidis Dimitris
Published: January 2019

Driven by technological advances in hardware (positioning systems, environmental sensors), software (standards, tools, network services), and aided by various open movements (open, linked, government data) and the ever-growing mentality of sharing for the greater good (crowdsourcing, crowdfunding, collaborative and volunteered geographic information), the amount of available geo-referenced data has seen dramatic explosion over the past few years. Human activities generate data and traces that are now often transparently annotated with location and contextual information. At the same time, it has become easier than ever to collect and combine rich and diverse information about locations. Exploiting this torrent of geo-referenced data provides a tremendous potential to materially improve existing and offer novel types of recommendation services, with clear benefits in many domains, including social networks, marketing, and tourism.
Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018
Authors: Sudo Akihto , Sekimoto Yoshihide , Chuin Lau Honng , Song Xuan , Yabe Takahiro
Published: January 2019

The prediction of human and vehicle mobility in a city is becoming an attracting field. This topic attracts researchers from broad fields including behavioral sciences, where understanding the complexity of the human mobility behavior is one of the hot topic, and also to the industrial partners, who apply such results to many beneficial applications. Recent progress to sensing human mobility via smartphones is boosting this trend. However, due to the complexity and context-dependence of human behavior and the incompleteness and noise of geospatial data collecting from various sensors, the prediction of human and vehicle mobility is still far from solved. This workshop aimed at collecting contributions on the cutting-edge studies in human mobility description, modeling, intelligent computational method which can advance the human and vehicle prediction research. Potential topics included, but were not limited to 1) The next location prediction of individual mobility, 2) The crowd or population mobility prediction, 3) Dynamics of pedestrians, 4) commute flow and migration flow, 5) Traffic congestion, road usage forecast and optimal vehicle routing, 6) Social event forecast using geospatial data, 7) Novel agent mobility simulators, and 8) Case studies of mobility estimation in academia as well as in industrial field.
Analysis of biomedical signal for patterns identification in complex diseases
Authors: Mirarchi Domenico
Published: January 2019

The human body is made up of many different biological systems that give information about their health condition. These information are contained in signals generated by the biological systems. The analysis of these signals is important to extract the information supporting physicians in their daily activity and improving their knowledge on health status. We investigate on biomedical signals for data analysis, as well as for relevant information extraction. Specifically, we have investigated on biomedical signals such as vestibu-lar signals, voice signals, biological data and EEG signals related respectively to vestibular apparatus, speech impairments and neurological diseases, human papilloma virus and geolocalization, and neurological activity. Data have been stored and organized in specific database. Finally, relevant information have been extracted by these data by using data mining techniques.