bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solving subset sum with small space – Handling cryptanalytic Big Data
Authors: May Alexander 
Published: March 2020

Abstract
Big Data applications are characterized by processing an amount of data too huge to be stored. Cryptographic protocols are by construction supposed to define huge data spaces that cannot be handled by any attacker. Nevertheless, the task of protocol cryptanalysis is to properly select cryptographic parameter lengths that guarantee both efficiency and security. This requires to break cryptographic protocols and their underlying hardness assumptions for mid-sized parameters. But even for mid-sized parameters cryptographic search spaces are way too huge to be stored. This asks for technical solutions that traverse the search space without storing elements. As an appealingly simple example, we address the subset sum problem which lies at the heart of many modern cryptographic protocols designed to offer security even against quantum computers. In the subset sum problem, one obtains integers

a

1

,
…
,

a

n

{a_{1}},\dots ,{a_{n}}

and an integer target t, and has to find a subset of the

a

i

{a_{i}}

’s that exactly sums to t. A trivial memory-less algorithm tests for all

2

n

{2^{n}}

subsets, whether their sum equals t. It may come as a surprise that there exist memory-less algorithms significantly faster than

2

n

{2^{n}}

. We give a survey on recent memory-less techniques, that apply but are not limited to the subset sum problem. We start by describing a general collision finding technique that was introduced in 1994 in the seminal work of van Oorschot and Wiener. Applied to subset sum the van Oorschot-Wiener technique leads to a

2

0.75
n

{2^{0.75n}}

-algorithm. This was improved in 2011 by Becker, Coron and Joux to

2

0.72
n

{2^{0.72n}}

using the representation technique. Recently, Esser and May presented a memory-less algorithm achieving

2

0.65
n

{2^{0.65n}}

using two-layered collision finding. These running times have to be compared to the optimal

2

0.5
n

{2^{0.5n}}

lower bound for collision finding algorithms.
An inverse problem of triple-thickness parameters determination for thermal protective clothing with Stephan–Boltzmann interface conditions
Authors: Li Tingyue , Kabanikhin Sergey , Nakamura Gen , Wang Faming , Xu Dinghua 
Published: March 2020

Abstract
A seven-layers parabolic model with Stephan–Boltzmann interface conditions and Robin boundary conditions is mathematically formulated to describe the heat transfer process in environment-three layers clothing-air gap-body system.
Based on this model, the solution to the corresponding inverse problem of simultaneous determination of triple fabric layers thickness is given in this paper, which satisfies the thermal safety requirements of human skin.
By implementing a stable finite difference scheme, the thermal burn injuries on the skin of the body can be predicted.
Then a kind of stochastic method, named as particle swarm optimization (PSO) algorithm, is developed to numerically solve the inverse problem.
Numerical results indicate that the formulation of the model and proposed algorithm for solving the corresponding inverse problem are effective.
Hence, the results in this paper will provide scientific supports for designing and manufacturing thermal protective clothing (TPC).
New Filbert and Lilbert matrices with asymmetric entries
Authors: Bozdağ Hacer , Kiliç Emrah , Akkus Ilker 
Published: March 2020

Abstract
In this paper, two new analogues of the Hilbert matrix with four-parameters have been introduced. Explicit formulæ are derived for the LU-decompositions and their inverses, and the inverse matrices of these analogue matrices.
Sequences of positive homoclinic solutions to difference equations with variable exponent
Authors: Stegliński Robert , Nockowska-Rosiak Magdalena 
Published: March 2020

AbstractWe study the existence of infinitely many positive homoclinic solutions to a second-order difference equation on integers withpk-Laplacian. To achieve our goal we use the critical point theory and the general variational principle of Ricceri.
Improved Young and Heinz operator inequalities for unitarily invariant norms
Authors: Beiranvand A. , Ghazanfari Amir Ghasem 
Published: March 2020

Abstract
In this paper, we present numerous refinements of the Young inequality by the Kantorovich constant. We use these improved inequalities to establish corresponding operator inequalities on a Hilbert space and some new inequalities involving the Hilbert-Schmidt norm of matrices. We also give some refinements of the following Heron type inequality for unitarily invariant norm |||⋅||| and A, B, X ∈ Mn
(ℂ):

|

|

|

A
ν

X

B

1
−
ν

+

A

1
−
ν

X

B
ν

2

|

|

|

≤

(
4

r
0

−
1
)

|

|

|

A

1
2

X

B

1
2

|

|

|

+
2
(
1
−
2

r
0

)

|

|

|

(
1
−
α
)

A

1
2

X

B

1
2

+
α

(

A
X
+
X
B

2

)

|

|

|

,

$$\begin{array}{}
\begin{split}
\displaystyle
\Big|\Big|\Big|\frac{A^\nu XB^{1-\nu}+A^{1-\nu}XB^\nu}{2}\Big|\Big|\Big|
\leq &(4r_0-1)|||A^{\frac{1}{2}}XB^{\frac{1}{2}}|||
\\
&+2(1-2r_0)\Big|\Big|\Big|(1-\alpha)A^{\frac{1}{2}}XB^{\frac{1}{2}}
+\alpha\Big(\frac{AX+XB}{2}\Big)\Big|\Big|\Big|,
\end{split}
\end{array}$$

where

1
4

≤
ν
≤

3
4

,
α
∈
[

1
2

,
∞
)

$\begin{array}{}
\displaystyle
\frac{1}{4}\leq \nu \leq \frac{3}{4}, \alpha \in [\frac{1}{2},\infty )
\end{array}$

and r
0 = min{ν, 1 – ν}.
Iterated partial summations applied to finite-support discrete distributions
Authors: Koščová Michaela , Harman Radoslav , Mačutek Ján 
Published: March 2020

Abstract
The problem of iterated partial summations is solved for some discrete distributions defined on finite supports. The power method, usually used as a computational approach to the problem of finding matrix eigenvalues and eigenvectors, is in some cases an effective tool to prove the existence of the limit distribution, which is then expressed as a solution of a system of linear equations. Some examples are presented.
Effect of aging on properties and nanoscale precipitates of Cu-Ag-Cr alloy
Authors: Kong Lingbao , Zhou Yanjun , Song Kexing , Hui David , Hu Hao , Guo Baojiang , Kang Junwei , Feng Cunli , Cao Jun 
Published: March 2020

Abstract
In this paper, the Cu-0.52Ag-0.22Cr alloy was prepared by hot horizontal continuous casting. The effects of aging process on micro-hardness, electrical conductivity, and nanoscale precipitates of Cu-0.52Ag-0.22Cr alloy were studied. The electrical conductivity and micro-hardness increase significantly in the early aging time. With the extension of aging time, the electrical conductivity is basically unchanged and remains at a high level. While, the micro-hardness increases slowly, the change trend is different at 623 K, 723 K, and 773 K. The optimisation of process parameters occurs in 723 K for 2 h. At this time, the electric conductivity is 95.8% IACS and the hardness is 104.1 HV0.1. The XRD result shows that the Ag and Cr are precipitated in elemental form copper matrix. Further TEM shows that, Cr exists at the sub-boundary in the form of larger nanoscale precipitates (100-200 nm). While a large number of Ag nanoscale precipitates (8-10 nm) is dispersed on the copper matrix. The synergistic effect of Ag and Cr nanoscale precipitates significantly improved the properties of the alloy.
Efficacy and Effectiveness of the PCV-10 and PCV-13 Vaccines Against Invasive Pneumococcal Disease
Authors: Berman-Rosa Melissa , O’Donnell Shauna , Barker Mackenzie , Quach Caroline 
Published: March 2020

CONTEXT:
Pneumococcal conjugate vaccines (PCVs) (pneumococcal 13-valent conjugate vaccine [PCV-13] and pneumococcal 10-valent conjugate vaccine [PCV-10]) are available for prevention of pneumococcal infections in children.

OBJECTIVE:
To determine the vaccine effectiveness (VE) of PCV-13 and PCV-10 in preventing invasive pneumococcal disease (IPD) and acute otitis media (AOM) in children &lt;5 years.

DATA SOURCES:
Systematic searches of Medline, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, and Cochrane.

STUDY SELECTION:
Eligible studies examined the direct effectiveness and/or efficacy of PCV-10 and PCV-13 in reducing the incidence of disease in healthy children &lt;5 years.

DATA EXTRACTION:
Two reviewers independently conducted data extraction and methodologic quality assessment.

RESULTS:
Significant effectiveness against vaccine-type IPD in children ≤5 years was reported for ≥1 dose of PCV-13 in the 3 + 1 (86%–96%) and 2 + 1 schedule (67.2%–86%) and for PCV-10 for the 3 + 1 (72.8%–100%) and 2 + 1 schedules (92%–97%). In children &lt;12 months of age, PCV-13 VE against serotype 19A post–primary series was significant for the 3 + 1 but not the 2 + 1 schedule. PCV-10 crossprotection against 19A was significant in children ≤5 years with ≥1 dose (82.2% and 71%). The majority of studies did not find either PCV to be effective against serotype-3. PCV-13 was effective against AOM (86%; 95% confidence interval [CI]: 61 to 94). PCV-10 was effective against clinically defined (26.9%; 95% CI: 5.9 to 43.3) and bacteriologically confirmed AOM (43.3%; 95% CI: 1.7 to 67.3).

LIMITATIONS:
Because of the large heterogeneity in studies, a meta-analysis for pooled estimates was not done.

CONCLUSIONS:
Both PCVs afford protection against pneumococcal infections, with PCV-10 protecting against 19A IPD, but this VE has not been verified in the youngest age groups.
High-Frequency Spectral Decay Characteristics of Seismic Records of Inland Crustal Earthquakes in Japan: Evaluation of the fmax and κ Models
Authors: Tsurugi Masato , Tanaka Reiji , Kagawa Takao , Irikura Kojiro 
Published: March 2020

ABSTRACTWe examined high-frequency spectral decay characteristics of ground motions for inland crustal earthquakes in Japan, which are important in strong ground motion predictions. We examined 105 earthquakes (Mw 3.3–7.1), including seven large earthquakes (Mw 5.9–7.1). Spectral decay characteristics were accurately evaluated assuming the ω-squared source model and using two approaches: the fmax model (commonly used in Japan), described by the cutoff frequency fmax and the power coefficient of spectral decay s, and the κ model (commonly used in worldwide), the exponential spectral decay model, described by the parameter κ and the specific frequency fE at which a spectrum starts to decrease linearly with increasing frequency in log–linear space. For large earthquakes, we estimated fmax to range from 6.5 to 9.9 Hz and s from 0.78 to 1.60 in the fmax model, and κ to range from 0.014 to 0.051 s and fE from 2 to 4.5 Hz in the κ model. In both approaches, we found that the spectral decay characteristics are regionally dependent. fmax in the fmax model and fE in the κ model tended to be smaller for large earthquakes than for moderate and small earthquakes, clearly demonstrating a seismic moment dependency. We confirmed positive correlations between equivalent parameters of the two approaches, that is, between s and κ and between fmax and fE. Moreover, we found that both approaches are appropriate for evaluating spectral decay characteristics, as long as the spectral decay parameters are appropriately evaluated by comparison with observed spectra. We examined the effects of the spectral decay characteristics on strong ground motion predictions, and demonstrated that simulated motions corrected using the fmax model and those corrected using the κ model are almost the same. The results presented in this article contribute to improving predictions of high-frequency strong ground motion.
Wave Scattering of Plane P, SV, and SH Waves by a 3D Alluvial Basin in a Multilayered Half-Space
Authors: Ba Zhenning , Wang Ying , Liang Jianwen , Lee Vincent W. 
Published: March 2020

ABSTRACTA special indirect boundary element method (IBEM) is proposed to investigate the waves scattering of plane P, SV, and SH waves by a 3D alluvial basin embedded in a multilayered half-space. The new IBEM, which uses half-space Green’s functions for uniformly distributed loads acting on an inclined plane as its fundamental solutions, has the merits of (1) excellent capability of dealing with the stratification of the basin and the external half-space, (2) without the problem of singularity due to fictitious distributed loads being directly applied on the real boundaries, and (3) good adaptability to complex models with trapezoidal or triangular elements being used to discretize the boundaries. The validity and accuracy of the new method are verified by comparing its results with those in the literature. To illustrate the general applicability and efficiency of the new method further, 3D alluvial basins of varying shapes, depths, and sedimentary sequences embedded in a single layer overlying a homogeneous half-space are numerically studied. Numerical results show that the basin’s shape, depth, and sedimentary sequence all have significant impact on the ground seismic responses; the incident angle also has noticeable effects on the surface motion, and these effects are more prominent at the observation points along the incident direction of the plane waves; for the case of layered model, the displacement spectral amplification is affected by the eigenmodes of the vibrations of the layers, both inside and outside the basin.
Estimation of Wavelet Coherence of Seismic Ground Motions
Authors: Qiao Da , Zhi Xudong , Fan Feng , Hong Hanping 
Published: March 2020

ABSTRACTThe relation between the nonstationary seismic ground motions at two sites is often characterized using lagged coherence and phase spectrum. Their evaluation is most often carried out using ordinary Fourier analysis (i.e., without windowing) by assuming that they are time invariant. In the present study, the assessment of time-varying coherence is carried out based on the auto- and cross-wavelet power spectrum. The coherence is expressed in terms of lagged wavelet coherence and wavelet phase spectrum. For the analysis, the generalized Morse wavelets are employed, and the ground-motion records for several events from dense arrays located in Taiwan are used. It was shown that without adequate smoothing in scale and time, the obtained lagged wavelet coherence varies drastically in time and frequency (i.e., scale). A parametric analysis shows that the estimated coherence is sensitive to the degree of smoothing. The results of the lagged wavelet coherence and wavelet phase spectrum are time varying and frequency varying. This is in contrast with the time-invariant lagged coherence and phase spectrum assumed for the amplitude modulated evolutionary stochastic process. It is inferred from the results that the use of a time-varying coherence should be considered for seismic ground motions modeled as nonstationary processes.
Rainfall-Induced Variation of Seismic Waves Velocity in Soil and Implications for Soil Response: What the ARGONET (Cephalonia, Greece) Vertical Array Data Reveal
Authors: Roumelioti Zafeiria , Hollender Fabrice , Guéguen Philippe 
Published: March 2020

ABSTRACTWe apply interferometry by deconvolution to compute the shear-wave velocity in shallow sediments (0–83.4 m) based on earthquake records from a vertical accelerometric array (ARGOstoli Network [ARGONET]) on Cephalonia Island, Greece. Analysis of the time variation of measured values reveals a cyclical pattern, which correlates negatively to rainfall and a soil moisture proxy. The pattern includes a sharp reduction in velocity at the beginning of rainy seasons and a gradual rise toward dry periods, the overall variation being around 20%–25% within the shallowest depth interval examined (0–5.6 m) and estimated to reach 40% within the top 2 m. The variation itself and its amplitude are verified by surface-wave dispersion analysis, using ambient vibration data. Synthetic standard spectral ratios suggest that this seasonal effect leaves an imprint on soil response, causing differences in the level of high-frequency ground motion between dry and rainy seasons, and this is verified by earthquake records. Furthermore, the near-surface velocity decrease due to soil saturation can be of the same order of magnitude as the nonlinear coseismic variation, masking the physical process of the nonlinear response of the site due to weak-to-strong-motion shaking. Thus, seasonal variations of seismic-wave velocities in shallow sediments may be important for a number of site-effect related topics, such as high-frequency ground-motion variability, soil anisotropy, kappa measurements, nonlinear site response, and so on.
Acoustic Overpressure Signals from Fully Confined and Vented Chemical Explosions
Authors: Stroujkova Anastasia , Leidig Mark , Ferris Aaron , Salerno Jeremy , Lewkowicz James 
Published: March 2020

ABSTRACT
We analyzed acoustic overpressure signals generated by overburied underground chemical explosions conducted in hard rock in New Hampshire in 2018. The explosions had comparable yields between 62.8 and 82.6 kg trinitrotoluene equivalent and were buried at depths between 12 and 13 m. Two explosions resulted in crater formation and gas venting, whereas the remaining explosions were fully confined and did not result in ground failure. Acoustic signals from the confined explosions were produced by the ground shock near ground zero. Acoustic signals from cratered explosions represent a combination of a ground shock signal and a time-delayed high-amplitude signal generated by gas venting. The cratering and venting occurred during the free-fall phase observed on the near-source accelerograms. We argue that the main reason for the cratering in this experiment is the low-rock porosity, preventing postexplosion pressure relief in the cavity and promoting long fracture formation during the unloading phase and subsequent containment failure. The ground-shock-induced signals were modeled using the Rayleigh integral of the near-source ground acceleration. The equations of nonlinear acoustics were used to model the observed gas venting signals produced by the gas flow from the explosion cavity to the surface. By comparing the near-source signals produced by venting to theoretical signals from surface blasts we have shown that the venting signals have significantly lower peak pressures and longer signal durations compared to surface blasts of the equivalent impulse. The observed amplitudes of the acoustic signals produced by the venting are significantly higher than the ground-shock related signals expected from overburied explosions. This is important to consider because higher acoustic amplitudes may potentially lead to errors in yield estimation.
Operational Earthquake Forecasting during the 2019 Ridgecrest, California, Earthquake Sequence with the UCERF3-ETAS Model
Authors: Milner Kevin R. , Field Edward H. , Savran William H. , Page Morgan T. , Jordan Thomas H. 
Published: March 2020

AbstractThe first Uniform California Earthquake Rupture Forecast, Version 3–epidemic-type aftershock sequence (UCERF3-ETAS) aftershock simulations were running on a high-performance computing cluster within 33 min of the 4 July 2019 M 6.4 Searles Valley earthquake. UCERF3-ETAS, an extension of the third Uniform California Earthquake Rupture Forecast (UCERF3), is the first comprehensive, fault-based, epidemic-type aftershock sequence (ETAS) model. It produces ensembles of synthetic aftershock sequences both on and off explicitly modeled UCERF3 faults to answer a key question repeatedly asked during the Ridgecrest sequence: What are the chances that the earthquake that just occurred will turn out to be the foreshock of an even bigger event?As the sequence unfolded—including one such larger event, the 5 July 2019 M 7.1 Ridgecrest earthquake almost 34 hr later—we updated the model with observed aftershocks, finite-rupture estimates, sequence-specific parameters, and alternative UCERF3-ETAS variants. Although configuring and running UCERF3-ETAS at the time of the earthquake was not fully automated, considerable effort had been focused in 2018 on improving model documentation and ease of use with a public GitHub repository, command line tools, and flexible configuration files. These efforts allowed us to quickly respond and efficiently configure new simulations as the sequence evolved. Here, we discuss lessons learned during the Ridgecrest sequence, including sensitivities of fault triggering probabilities to poorly constrained finite-rupture estimates and model assumptions, as well as implications for UCERF3-ETAS operationalization.
Business Innovation, Service Innovation, Industry 4.0 and Making Indonesia 4.0: Perspective on Industrial Engineering
Authors: Edi Nugroho Soebandrija Khristian 
Published: March 2020

Business innovation is deemed an important factor for sustainable competitive advantages. The mentioned important factors are vis à vis not merely product, but also service. Subsequently, this paper elaborates service innovation within ambidexterity approach that comprises two considerations of exploitation and exploration. The exploitation refers to the continuous improvement of the existing activities in companies. Meanwhile, the exploration refers to the breakthrough of new frontier activities in companies that are needed for the company to gain sustainable competitive advantages. Both exploitation and exploration are supported by the theoretical approach and its empirical implementation within companies’ sustainable competitive advantages, through grand theory within industrial engineering discipline. This paper elaborates the service innovation that is deemed as antecedents for both financial and nonfinancial performance in the banking industry in Indonesia. The focus of the banking industry in this paper refers to the area of DKI Jakarta, as the center of technology in its capacity as the capital city of Indonesia. The theoretical approach is subsequently implemented through Industry 4.0 that covers trilogy of physical, digital, and biology. Furthermore, the mentioned implementation is aimed at the benefits of Making Indonesia 4.0 with the Indonesia local wisdom and setting. Precisely, it covers focused sectors: food and beverages; textile; automotive; chemical; and electronic. Ultimately, it refers to an action plan as quick wins in term of technology incentive; investor roadshow; vocational education; and innovation center, along with its support for small-medium enterprise.
Keywords: banking industry; contextual ambidexterity; exploration service innovation; exploitation service innovation; financial performance; structural ambidexterity
The Role of Enterprise Resource Planning (ERP) in Improving Organization’s Intellectual Capital
Authors: Adiasih Priskila , Elsye Hatane Saarce , Christyanto Shendy 
Published: March 2020

The purpose of this study was to identify the influence of the management control system (MCS) on intellectual capital through the implementation of Enterprise Resource Planning (ERP) as an intervening variable. A theoretical model is developed that considers two concepts of MCS (the belief system and the boundary system) and the roles they play in enhancing intellectual capital. Data collected via survey from 57 managers of 36 companies in Indonesia that have implemented ERP system. This research used the partial least square to describe relationships between variables. Results suggest that belief system and boundary system has a positive influence towards intellectual capital through the implementation of ERP as an intervening variable on the companies that implement the ERP system in Indonesia. When the users experience that ERP is useful and easy to use, the users will use it well. Finding offer the implication for managers to start paying attention to the factors which can help to improve the users’ work performance. As the users’ performance improved the company’s intellectual capital will also be improved.
Keywords: communication value; economic knowledge; individual context; management belief system; management boundary system