bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Concrete Durability Based on Cloud Model and D-S Evidence Theory
Authors: Yang Sai , Huang Jinlong , Qin Yawei , Wu Xianguo 
Published: January 2022

Abstract
The environment in alpine region is complex and harsh, and the durability of concrete is seriously affected by freeze-thaw and salt invasion. In this paper, the relative dynamic modulus of elasticity, chloride permeability coefficient, mass loss rate and carbonation depth are selected as the evaluation indexes of concrete durability in Northeast China. Based on prior knowledge and expert group decision-making, the durability grade is divided and the evaluation standard is established; The evaluation model of concrete durability based on cloud model and D-S evidence theory is established. According to the engineering experimental data, the membership degree of concrete durability evaluation index in different grades is obtained through the correlation measurement of cloud model. The normalized evidence is formed and fused by D-S evidence theory. The results show that the durability grade of concrete is grade I, which is consistent with the actual project. It shows that using cloud model and evidence theory evaluation model to evaluate the durability of concrete is a new and effective method.
Water-glass Module on Mechanical Properties of Geopolymer Recycled Aggregate Concrete
Authors: Ding Zhaoyang , Su Qun , Bian Hongguan , Wang Qing , Zhou Jinghai 
Published: January 2022

Abstract
Geopolymer recycled aggregate concrete (GRAC) was prepared by replacing cement with geopolymer and natural aggregate with wast concrete. The effect of water-glass modules on mechanical properties of GRAC was studied. It was found that there are tow kind of binding structures in geopolymer hydration product: C-A-S-H and N-A-S-H, they both contribute to the strength of GRAC. The value of size conversion coefficient of current national standard is inapplicable for GRAC, the calculation method of which is given in this paper. Elasticity modulus and peak stress of GRAC is proportional to water-glass modulus, and peak strain is inversely proportional and its constitutive equation was established.
Calculation and Analysis of Through Concrete Filled Steel Tubular Tied Arch Bridge
Authors: Zhang Zhanyi , Long Peiheng 
Published: January 2022

Abstract
In order to understand the stress of small through tied arch bridge. In this paper, the finite element simulation analysis of Lu Shanqu bridge is carried out in the completion stage by using MADIS / civil software, and the tie bars, arch ribs and suspenders of the superstructure are monitored. The results show that the axial force of the arch rib of this bridge is reduced by the balance of the tie rod, and the bending moment of the tie rod is greatly reduced by the action of the suspender. The stress characteristics of the bridge type are internal statically indeterminate and external statically indeterminate structure.
Physical and Mechanical Properties of Cemented Soil Fill At Liquid and Hardened States
Authors: Shi Cheng , Ding Jinghu , Chen Junjie , Chu Fangzhou 
Published: January 2022

Abstract
Cemented soil fill is a new backfilling technology developed for the problems of narrow foundation trenches and uncompacted backfilling. It has good fluidity before solidification and higher strength and stiffness after solidification. This type of fill materials makes full use of the waste soils. The proportioning test was carried out on excavated soil on a construction site. Liquid property tests and unconfined compressive strength tests was carried out. The results show that the cemented soil fill can meet the requirement of foundation trenches backfilling, which has great prospect for future applications.
VIII International Conference Days of Applied Mathematics
Authors: Valbuena O , Gelvez-Almeida E , V-Niño E D 
Published: January 2022

These proceedings are the contributions made by the participants of the VIII International Conference / Days of Applied Mathematics (ICDAM). The main objective of the VIII ICDAM is to effectively share and transfer mathematical and physical knowledge for the purpose of problem-solving in different contexts of the sciences, engineering, and medicine.
The VIII ICDAM was organized by the Facultad de Ciencias Ciencias Básicas y Biomédicas of the Universidad Simón Bolívar, was carried out in the city of San José de Cúcuta, Colombia, from October 20-22, 2021, in which dissertations and workshops developed by students, professors and researchers, those who worked in research lines related to the field of mathematics and physics from Francia, Mexico, República Dominicana, Chile, Argentina, Venezuela, and Colombia.
List of Organizing Committee, National Scientific Committee, International Scientific Committee, Sponsor, Partners are available in this pdf.
Multitemporal analysis with statistical models: influence of the atmospheric condition on urban concentrations of particulate matter
Authors: Rodríguez-Garavito L , Romero-Corredor K J , Zafra-Mejía C A 
Published: January 2022

Abstract
This paper shows a multitemporal analysis with autoregressive integrated moving average models of the influence of atmospheric condition on concentrations of particulate matter ≤ 10 µm in Bogotá city, Colombia. Information was collected from six monitoring stations distributed throughout the city. The study period was nine years. Autoregressive component of the models suggests that urban areas with greater atmospheric instability show a lower hourly persistence of particulate matter (one hour) compared to urban areas with lower atmospheric instability (two hours). Moving average component of the models hints those urban areas with greater atmospheric instability show greater hourly variability in particulate matter concentrations (5-10 hours). The models also suggest that a high degree of air pollution decreases the temporal influence of the atmospheric condition on particulate matter concentrations; in this case, the temporal behavior of particulate matter possibly depends on the urban emission sources of this pollutant rather than on the existing atmospheric condition. This study is relevant to deepen the knowledge in relation to the following aspects of atmospheric physics: The use of statistical models for the time series analysis of atmospheric condition, and the analysis by statistical models of the influence of atmospheric condition on air pollutant concentrations.
Analysis of the mechanical resistance of cement with aggregates of petrous endocarp from macadamia nut
Authors: Pérez-Valdovinos A S , Arceo-Díaz S , Bricio-Barrios E E , Ojeda-Sánchez J A , Moreno-Peña J R , García-Solorzano L A 
Published: January 2022

Abstract
This research evaluates if adding crushed macadamia nutshell to a mixture of cement and sand could result in lighter and more resistant constructive materials. The mechanical resistance under compression of cement blocks made from two different experimental mixtures, in which a certain amount of sand is replaced with crushed nutshell, is compared against two control groups. Results show that blocks made from one of the proposed mixtures got an average resistance around 50% above the controls group while being 3% lighter. Additionally, the physical dependence of the strength of the blocks on the granulometry of the aggregated endocarp fragments, and their percentage to the volume of cement, was studied thanks to contour plots developed from a factorial design of the data.
Brownian movement analyzed from psychophysiological measures associated with ischemic heart disease and Alzheimer’s disease
Authors: Uribe L , Villamizar J , Morantes G , Cerquera A , Prada E , Prada D 
Published: January 2022

Abstract
There are several coronary diseases that human beings can suffer from, which in themselves generate health deterioration and can lead to the development of other diseases that diminish the quality of life. Ischemic diseases are unique in that they are evidenced by blockages generated by the accumulation of fat that impedes circulation, triggering heart and brain-related problems. By means of fractional Brownian motion in relation to Hurst’s parameter, an analysis of a data of 137 patients aged between 30 and 71 years, who present some type of ischemic disease such as mixed, restricted, effort angina and angina pectoris, is performed. The data used was European, which is found in the PhysioNet open-access medical research data repository, managed by the Massachusetts Institute of Technology Computational Physiology Laboratory. This data shows the Hurst coefficient calculations associated with each type of ischemic heart disease.
Dynamical systems approach in automobiles technological transition from environmental drivers
Authors: Garcia J S , Redondo J M 
Published: January 2022

Abstract
The effects of climate change have led us to identify the need to minimize emissions, particularly in the transport sector. However, the demand for cars has increased and, the only alternative is the technological transition towards zero-emission technologies such as electric cars. This document proposes a mathematical model based on system dynamics to evaluate with dynamical systems the technological transition of automobiles from environmental drives. The results show bifurcations of codimension 2 between 4 different types of phase portraits, each of which allowed to identify a different type of transition. It is concluded that the demand for each technology and its useful life will determine its permanence in the market, but that each of these gives rise to environmental impacts that will guide the preferences of consumers, with the possibility that there is a loss in the motivation of consumers generated by the emergence of some other type of alternative, perhaps such as active mobility.
Heterogeneity: method and applications for complex systems analysis
Authors: Redondo J M , Garcia J S , Bustamante-Zamudio C , Pereira M F , Trujillo H F 
Published: January 2022

Abstract
Socio-ecological systems like another physical systems are complex systems in which are required methods for analyzes their non-linearities, thresholds, feedbacks, time lags, and resilience. This involves understanding the heterogeneity of the interactions in time and space. In this article, we carry out the proposition and demonstration of two methods that allow the calculation of heterogeneity in different contexts. The practical effectiveness of the methods is presented through applications in sustainability analysis, land transport, and governance. It is concluded that the proposed methods can be used in various research and development areas due to their ease of being considered in broad modeling frameworks as agent-based modeling, system dynamics, or machine learning, although it could also be used to obtain point measurements only by replacing values.
Characterization of physical properties of bismuth-titanium coatings on 316L stainless steel
Authors: Garzón-Agudelo P A , Palacios-Alvarado W , Medina-Delgado B 
Published: January 2022

Abstract
The 316 L steel is a type of stainless steel widely used in the medical industry, which in recent years has been studied for different uses in society. Being an engineering material, it is imperative to know its performance based on its physical and mechanical properties that allow identifying the response of this steel in addition to thin films as coatings. Bismuth and titanium have been recently used to improve the properties of 316 L steel, so they were used in this study. The sol-gel technique was used as the film forming method. The response of physical and mechanical properties was evaluated from the analysis of microhardness and coefficient of friction reported for the different types of steel-coating systems. Higher microhardness values were found for films with higher proportion of titanium. The coefficient of friction values is influenced by the system used, with higher values obtained for samples with a single coating layer.
Impact of a science and technology strategy on the learning of physics
Authors: Ramírez-Leal P , Maldonado-Estevez E A , Avendaño-Castro W R 
Published: January 2022

Abstract
The use of smartphones and some applications for educational purposes are valuable tools in the laboratory since they are motivating for students and the teacher can take advantage of this advantage for the teaching of physics. The experience is based on the anthropological theory of didactics and the teaching approach in science, technology, engineering, and mathematics. It is proposed to investigate a trigger question in physics. To respond, an application is used that uses the smartphone’s sensors to record the simulation data. The experience is described, and results of its implementation are presented. Methodologically, a qualitative descriptive approach was used in a group of tenth grade students taking the physics course. Finally, it is concluded that the students felt motivated since they felt they participated in the construction of their own learning, supported using technologies that facilitate the integration of knowledge in physics.
Smartphone and teamwork as a methodological tool for teaching and learning physics
Authors: Malndonado E A , Ramírez P , Avendaño W R 
Published: January 2022

Abstract
This research is based on the usefulness of mobile phones as a tool for students to learn about uniform rectilinear motion in vertical free fall, based on experimental practice. To evaluate whether these mobile devices allow better learning on the subject, a pre-test/post-test design was carried out with 43 students participating in the 9th grade in natural sciences. McNemar and Stuart-Maxwell non-parametric tests were applied. The proposal on the experimental practice gave satisfactory results when comparing the pre-test and post-test, in the analysis of the particular and global form of the answers.
High-energy bow tie multi-pass cells for nonlinear spectral broadening applications
Authors: Heyl Christoph M , Seidel Marcus , Escoto Esmerando , Schönberg Arthur , Carlström Stefanos , Arisholm Gunnar , Lang Tino , Hartl Ingmar 
Published: January 2022

Abstract
Multi-pass cells (MPCs) have emerged as very attractive tools for spectral broadening and post-compression applications. We discuss pulse energy limitations of standard MPCs considering basic geometrical scaling principles and introduce a novel energy scaling method using a MPC arranged in a bow tie geometry. Employing nonlinear pulse propagation simulations, we numerically demonstrate the compression of 125 mJ, 1 ps pulses to 50 fs using a compact 2 m long setup and outline routes to extend our approach into the Joule-regime.
2022 roadmap on 3D printing for energy
Authors: Tarancón Albert , Esposito Vincenzo , Torrell Marc , Di Vece Marcel , Son Jae Sung , Norby Poul , Bag Sourav , Grant Patrick S , Vogelpoth A , Linnenbrink S , Brucki M , Schopphoven T , Gasser A , Persembe Elif , Koufou Dionysia , Kuhn Simon , Ameloot Rob , Hou Xu , Engelbrecht Kurt , Bahl Christian R H , Pryds Nini , Wang Jie , Tsouris Costas , Miramontes Eduardo , Love Lonnie , Lai Canhai , Sun Xin , Kærn Martin Ryhl , Criscuolo Gennaro , Pedersen David Bue 
Published: January 2022

Abstract
The energy transition is one of the main challenges of our society and therefore a major driver for the scientific community. To ensure a smart transition to a sustainable future energy scenario different technologies such as energy harvesting using solar cells or windmills and chemical storage in batteries, super-capacitors or hydrogen have to be developed and ultimately deployed. New fabrication approaches based on additive manufacturing and the digitalization of the industrial processes increase the potential to achieve highly efficient and smart technologies required to increase the competitiveness of clean energy technologies against fossil fuels. In this frame, the present roadmap highlights the tremendous potential of 3D printing as a new route to fully automate the manufacturing of energy devices designed as digital files. This article gives numerous guidelines to maximize the performance and efficiency of the next generation of 3D printed devices for the energy transition while reducing the waste of critical raw materials. In particular, the paper is focused on the current status, present challenges and the expected and required advances of 3D printing for the fabrication of the most relevant energy technologies such as fuel cells and electrolysers, batteries, solar cells, super-capacitors, thermoelectric generators, chemical reactors and turbomachinery.
Fault tolerance and noise immunity in freespace diffractive optical neural networks
Authors: Panda Soumyashree S , Hegde Ravi S 
Published: January 2022

Abstract
Free-space diffractive optical networks are a class of trainable optical media that are currently being explored as a novel hardware platform for neural engines. The training phase of such systems is usually performed in a computer and the learned weights are then transferred onto optical hardware (‘ex-situ training’). Although this process of weight transfer has many practical advantages, it is often accompanied by performance degrading faults in the fabricated hardware. Being analog systems, these engines are also subject to performance degradation due to noises in the inputs and during optoelectronic conversion. Considering diffractive optical networks trained for image classification tasks on standard datasets, we numerically study the performance degradation arising out of weight faults and injected noises and methods to ameliorate these effects. Training regimens based on intentional fault and noise injection during the training phase are only found marginally successful at imparting fault tolerance or noise immunity. We propose an alternative training regimen using gradient based regularization terms in the training objective that are found to impart some degree of fault tolerance and noise immunity in comparison to injection based training regimen.
Maximum-norm stability of the finite element method for the Neumann problem in nonconvex polygons with locally refined mesh
Authors: Li Buyang 
Published: January 2022

The Galerkin finite element solutionuhu_hof the Poisson equation−Δu=f-\Delta u=funder the Neumann boundary condition in a possibly nonconvex polygonΩ\varOmega, with a graded mesh locally refined at the corners of the domain, is shown to satisfy the following maximum-norm stability:‖uh‖L∞(Ω)≤Cℓh‖u‖L∞(Ω),\begin{align*} \|u_h\|_{L^{\infty }(\varOmega )} \le C\ell _h\|u\|_{L^{\infty }(\varOmega )} , \end{align*}whereℓh=ln⁡(2+1/h)\ell _h = \ln (2+1/h)for piecewise linear elements andℓh=1\ell _h=1for higher-order elements. As a result of the maximum-norm stability, the following best approximation result holds:‖u−uh‖L∞(Ω)≤Cℓh‖u−Ihu‖L∞(Ω),\begin{align*} \|u-u_h\|_{L^{\infty }(\varOmega )} \le C\ell _h\|u-I_hu\|_{L^{\infty }(\varOmega )} , \end{align*}whereIhI_hdenotes the Lagrange interpolation operator onto the finite element space. For a locally quasi-uniform triangulation sufficiently refined at the corners, the above best approximation property implies the following optimal-order error bound in the maximum norm:‖u−uh‖L∞(Ω)≤{Cℓhhk+2−2p‖f‖Wk,p(Ω)amp;if r≥k+1,Cℓhhk+1‖f‖Hk(Ω)amp;if r=k,\begin{align*} \|u-u_h\|_{L^\infty (\varOmega )} \le \begin {cases} C\ell _h h^{k+2-\frac {2}{p}} \|f\|_{W^{k,p}(\varOmega )} &\text {if $r\ge k+1$}, \\ C\ell _h h^{k+1} \|f\|_{H^{k}(\varOmega )} &\text {if $r=k$}, \end{cases} \end{align*}wherer≥1r\ge 1is the degree of finite elements,kkis any nonnegative integer no larger thanrr, andp∈[2,∞)p\in [2,\infty )can be arbitrarily large.
On the numbers 𝑛 relatively prime to Ω(𝑛)-𝜔(𝑛)
Authors: Ding Yuchen 
Published: January 2022

Let

Ω
(
n
)

\Omega (n)

and

ω
(
n
)

\omega (n)

be the number of all prime factors and different prime factors of

n
n

, respectively. An elegant result of Alladi showed that the probability of

(
n
,
Ω
(
n
)
)
=
1

(n,\Omega (n))=1

or

(
n
,
ω
(
n
)
)
=
1

(n,\omega (n))=1

is

6

/

π
2

6/\pi ^2

. In the other aspect, denoting by

d
k

d_k

the density of the numbers

n
n

with

Ω
(
n
)
−
ω
(
n
)
=
k

\Omega (n)-\omega (n)=k

, then another elegant formula of Rényi states that

d
k

∼

c
0

/

2
k

d_k\sim c_0/2^k

as

k
k

tends to infinity, where

c
0

=
(
1

/

4
)

∏

p
>
2

(
1
−
(
p
−
1

)

−
2

)

−
1

c_0=(1/4)\prod _{p>2}(1-(p-1)^{-2})^{-1}

. In this paper, we investigate the numbers

n
n

which are relatively prime to

Ω
(
n
)
−
ω
(
n
)

\Omega (n)-\omega (n)

. Let

D

\mathscr {D}

denote the set of such numbers. It is proved that there exists a positive constant

c
1

c_1

such that

D

(
x
)
=

c
1

x
+

O

ε

(

x

log

1
+
ε

⁡
x
)

\mathscr {D}(x)=c_1x+O_{\varepsilon }(\sqrt {x}\log ^{1+\varepsilon }x)

for any

ε
>
0

\varepsilon >0

.
Neuropsychological Performance in Autoimmune Limbic Encephalitis: Evidence from an Immunotherapy-Naïve Cohort
Authors: Mueller Christoph , Langenbruch Lisa , Rau Johanna M H , Brix Tobias , Strippel Christine , Dik Andre , Golombeck Kristin S , Mönig Constanze , Johnen Andreas , Räuber Saskia , Wiendl Heinz , Meuth Sven G , Bölte Jens , Kovac Stjepana , Melzer Nico 
Published: January 2022

Abstract

Objective
Autoimmune limbic encephalitis (ALE) is characterized by memory impairment, psychiatric symptoms, and epileptic seizures. Though, the neuropsychological profile of ALE is not yet well defined. However, there is some evidence that neuropsychological impairments might exceed those related to the limbic system and that different autoantibodies (AABs) are associated with distinguishable pattern of neuropsychological impairments. We provide a comprehensive presentation of neuropsychological performance of ALE in an immune therapy-naïve sample.

Methods
We retrospectively analyzed 69 immunotherapy-naïve ALE-patients (26 seropositive—[8 LGI1-, 4 CASPR2-, 2 GABAB-R-, 3 Hu-, 4 GAD65-, 2 Ma2-, 2 unknown antigen, and 1 Yo-AABs] and 43 seronegative patients, mean age 56.0 years [21.9–78.2], mean disease duration 88 weeks [0–572]). Neuropsychological evaluations comprised of the domains memory, attention, praxis, executive functions, language, social cognition, and psychological symptoms. We compared these functions between seronegative −, seropositive patients with AABs against intracellular neural antigens and seropositive patients with AABs against surface membrane neural antigens.

Results
No effect of AAB group on neuropsychological performance could be detected. Overall, ALE predominantly presents with deficits in long-term memory and memory recognition, autobiographical-episodic memory loss, impairment of emotion recognition, and depressed mood. Furthermore, deficits in praxis of pantomimes and imitations, visuo-construction, and flexibility may occur.

Conclusion
ALE shows a wide spectrum of neuropsychological impairments, which might exceed the limbic system, with no evidence of differences between AAB groups. Neuropsychological assessment for diagnosing ALE should include long-term memory, memory recognition, autobiographical-episodic memory, emotion recognition, and a detailed investigation of depression.