bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research of Shock Response Spectrum Prediction based on Machine Learning Method
Authors: Li Jian , Su Botai , Liu Xiaozhen , Zou Yuchi , Feng Zeng , Yang Lingzhi 
Published: November 2024

Abstract
Shock response spectrum (SRS) is the primary method of simulating explosive separation impact environment. SRS is obtained from shock experiments in traditional research, which consumes lots of materials. In this study, a prediction model based on machine learning (ML) is established to rapidly obtain SRS. 1053 sets of data obtained by shock experiments were used in the model. A total of 15 features are selected, in which 7 accelerations of different frequencies on the SRS are taken as target features. 7 types of ML algorithm are used for the prediction and the best one in each target is integrated in the completed model. The results indicate that the optimal average percentage errors at frequencies of 100Hz, 500Hz, 1000Hz, 3000Hz, 5000Hz, 7000Hz, and 10000Hz are 5.9%, 6.8%, 8.1%, 19.5%, 20.0%, 22.0%, and 19.7%, respectively. The error range of SRS fit by the 7 prediction targets is within ±20%. This study is contributed to improving the debugging efficiency of SRS.
Industrial Process Modeling Method Using Arima-ACNN-LSTM Coupling Algorithm
Authors: Cui Chen , Chen Jian 
Published: November 2024

Abstract
Considering the difficulty to built mechanisms models for complex industrial processes, this paper proposes a data-driven modelling method. This method includes a process for processing real industrial data and an improved deep learning algorithm. The data processing flow completes the basic preparation work for the raw data, and the improved algorithm calculates the model based on this. The improved algorithm is Arima-ACNN-LSTM coupling algorithm, which can enhance the original LSTM algorithm by adopting CNN and Attention mechanisms. The experimental results show that, the accuracy of the model using the proposed improved algorithm is better than that using the ARIMA algorithm, the LSTM algorithm and the ARIMA-LSTM coupling algorithm. So this paper provides an inspiring approach for industrial processes modelling with complex characteristics.
Edge Computing-driven Smart Transportation: Analysis and Prediction of Urban Traffic Flow
Authors: Zhong Huihui , Cai Kefan , Fan Jianjun 
Published: November 2024

Abstract
With the continuous development of artificial intelligence, the research and application of automated connected driving is receiving more and more attention. The combination of mobile edge computing and Telematics provides crucial technical support. In this paper, we propose a rasterization method for mobile edge computing scenario. We establish a grid classification model based on K-means to facilitate targeted and distributed optimization of computing resources. Meanwhile, we dynamically adjust the allocation of computational resources and the location of edge servers in advance deployment by predicting vehicle traffic. The experimental results demonstrate that the K-means-based grid classification model can accurately classify the grids and differentiate the traffic patterns of the grids, such as remote suburban areas, suburban areas, residential living areas, production industrial areas, and commercial center areas. The Backpropagation (BP) neural network-based grid traffic flow prediction model can simulate the overall changes of the grid traffic flow throughout a day to the maximum extent. Finally, we plan optimization scheme in urban mobile edge scenarios based on the results obtained from our analysis and prediction, and through our results, we can make edge computing resources be utilized efficiently.
Drone Delivery Trajectory Prediction Using Nonlinear First-order Systems and Their Numerical Solutions
Authors: Hu Shiven 
Published: November 2024

Abstract
Drone delivery trajectory prediction under extreme weather condition is an essential issue to consider in the application of unmanned aerial vehicles. In this paper, the nonlinear first-order differential equation system is established to describe the drone delivery trajectory, where the wind is considered in different formulations. In autonomous case where the variable “time” does not involve in equation system, the analytical solution is obtained. In the non-autonomous cases where variable “time” appear in our system, the numerical solutions are achieved by using the fourth-order method of Runge-Kutta. From the graphs of these solutions, it is clear to see that the nonlinear first-order systems proposed in this paper are reasonable to predict the trajectory of the unmanned aerial vehicle under different wind scenarios.
Optimization Method for Thin-walled Structures with Directional Stiffeners Based on Single-variable Characteristic Functions
Authors: Huang Zehan , Liao Haitao , Li Guangliang , Kong Xiangyi 
Published: November 2024

Abstract
Continuum topology optimization is a powerful structural optimization method, but its application often leads to thin-walled structures with complex and irregular stiffening patterns, making the manufacturing process challenging. To address this issue, a novel optimization method for thin-walled structures with directional stiffeners is proposed. By introducing the single-variable characteristic function into the Discrete Material Optimization (DMO) model, a diagonal elements scheme is developed. This approach significantly reduces the number of design variables and enables the rapid optimal design of thin-walled structures with directional stiffeners. Firstly, a set of single-variable are introduced to describe the stiffeners in a given direction. The original variables are transformed into a set of density functions using the single-variable characteristic function. These density functions are incorporated into the DMO model to construct a new interpolation model. The update of design variables is driven by the genetic algorithm. An adaptive smoothing strategy is employed to adjust the projection slope and penalty parameters, which improves optimization efficiency. A numerical example verifies that the proposed method not only successfully achieves optimized results but also ensures good manufacturability.
A New Mathematical Model in Three-dimensional Variational Data Assimilation for Air Quality Prediction
Authors: Zhu Zhaochen , Gao Yunyun , Li Haihe 
Published: November 2024

Abstract
The three-dimensional variational (3DVar) data assimilation is a critical component of air quality prediction, and the forecast state in air quality prediction is inferred to be approximately low rank and heavily laden with low-frequency noises through the application of tensor decomposition. To reduce the effects of these uncertainties and achieve a more precise analysis state, we establish a new objective function that consists of the weighted sum of three terms: the first term is the norm difference between the gradients of the forecast and analysis states, the second term is the norm difference between the observation and the analysis state in observational space, and the third term is the rank of the analysis state. Numerical results show that our treatment is superior to other methods, such as the classic 3DVar method, the En3DVar method, and the method of 3DVar with forecast gradient.
The Improved Inertial Navigation Algorithm for Low-cost MEMS Sensors
Authors: Feng Tong , Ming Chao , Xu Zihe , Bai Zhiheng 
Published: November 2024

Abstract
This paper proposes an improved low-cost inertial guidance solution algorithm to address the issue of insufficient solution accuracy of traditional low-cost device inertial guidance algorithms. The influence of the Earth’s rotation is introduced into the attitude update of the traditional low-cost inertial guidance algorithm, thereby improving the navigation and positioning capability of the carrier. The results of the simulation demonstrate that the proposed algorithm outperforms the traditional algorithm in terms of attitude angle error, with a reduction of four orders of magnitude. Furthermore, the northward and skyward velocity errors are reduced by one order of magnitude, while the eastward velocity dispersion is effectively suppressed. The positioning accuracy is improved by 66%. These findings provide valuable insights that can inform the development of low-cost MEMS navigation engineering applications.
The Wave Equation with Acoustic Boundary Conditions on Non-Locally Reacting Surfaces
Authors: Mugnolo Delio , Vitillaro Enzo 
Published: November 2024

The aim of the paper is to study the problem

{

u

t
t

−

c
2

Δ
u
=
0

a
m
p
;

in

R

×
Ω

,

μ

v

t
t

−
d
i

v

Γ

(
σ

∇
Γ

v
)
+
δ

v
t

+
κ
v
+
ρ

u
t

=
0

a
m
p
;

on

R

×

Γ
1

,

v
t

=

∂
ν

u

a
m
p
;

on

R

×

Γ
1

,

∂
ν

u
=
0

a
m
p
;

on

R

×

Γ
0

,

u
(
0
,
x
)
=

u
0

(
x
)
,

u
t

(
0
,
x
)
=

u
1

(
x
)

a
m
p
;

in

Ω

,

v
(
0
,
x
)
=

v
0

(
x
)
,

v
t

(
0
,
x
)
=

v
1

(
x
)

a
m
p
;

on

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1

,

\begin{equation*} \begin {cases} u_{tt}-c^2\Delta u=0 \qquad &\text {in $\mathbb {R}\times \Omega $,}\\ \mu v_{tt}- div_{_\Gamma }(\sigma \nabla _\Gamma v)+\delta v_t+\kappa v+\rho u_t =0\qquad &\text {on $\mathbb {R}\times \Gamma _1$,}\\ v_t =\partial _\nu u\qquad &\text {on $\mathbb {R}\times \Gamma _1$,}\\ \partial _\nu u=0 &\text {on $\mathbb {R}\times \Gamma _0$,}\\ u(0,x)=u_0(x),\quad u_t(0,x)=u_1(x) & \text {in $\Omega $,}\\ v(0,x)=v_0(x),\quad v_t(0,x)=v_1(x) & \text {on $\Gamma _1$,} \end{cases} \end{equation*}

where

Ω
\Omega

is a open domain of

R

N

\mathbb {R}^N

with uniformly

C
r

C^r

boundary (

N
≥
2

N\ge 2

,

r
≥
1

r\ge 1

),

Γ
=
∂
Ω

\Gamma =\partial \Omega

,

(

Γ
0

,

Γ
1

)

(\Gamma _0,\Gamma _1)

is a relatively open partition of

Γ
\Gamma

with

Γ
0

\Gamma _0

(but not

Γ
1

\Gamma _1

) possibly empty. Here

d
i

v

Γ

div_{_\Gamma }

and

∇
Γ

\nabla _\Gamma

denote the Riemannian divergence and gradient operators on

Γ
\Gamma

,

ν
\nu

is the outward normal to

Ω
\Omega

, the coefficients

μ
,
σ
,
δ
,
κ
,
ρ

\mu ,\sigma ,\delta , \kappa , \rho

are suitably regular functions on

Γ
1

\Gamma _1

with

ρ
,
σ

\rho ,\sigma

and

μ
\mu

uniformly positive while

c
c

is a positive constant. This problem have been proposed long time ago by Beale and Rosencrans, when

N
=
3

N=3

,

σ
=
0

\sigma =0

,

r
=
∞

r=\infty

,

ρ
\rho

is constant,

κ
,
δ
≥
0

\kappa ,\delta \ge 0

, to model acoustic wave propagation with locally reacting boundary.

In this paper we first study well-posedness in the natural energy space and give regularity results. Hence we give precise qualitative results for solutions when

Ω
\Omega

is bounded and

r
=
2

r=2

,

ρ
\rho

is constant,

κ
,
δ
≥
0

\kappa ,\delta \ge 0

. These results motivate a detailed discussion of the derivation of the problem in Theoretical Acoustics and the consequent proposal of adding to the model the integral condition

∫
Ω

u
t

=

c
2

∫

Γ
1

v

\int _\Omega u_t=c^2\int _{\Gamma _1}v

.
Everyday Politics, Ordinary Lives
Authors: Bingham Adrian 
Published: November 2024

Abstract
What did British citizens really feel about the political system, their role in it, and the people who represented them? This book examines British democracy from below, investigating how electors understood politics and how they viewed its relationship to their lives, from the establishment of a near democracy with the Representation of the People Act 1918 up until the rise of the internet and 24-hour news channels in the early 1990s. It focuses on the everyday political opinions, discussions, and interactions of ordinary British voters in the period, and pays attention to the ways in which women, young people, and minoritized groups related to a political system dominated by middle-aged men. The book argues that most people, across the period, felt remote from politics and sceptical of politicians. But this reflected the perception that the world of parliamentary debates and party intrigue was distant, insular, and rather impenetrable, not that people did not care about political issues or have a desire to improve their position. Britain was home to plenty of everyday political thinking and conversation, and the amount and quality of this activity tended to increase and improve over the period as people became better educated, had access to more information through the media, and the power of the democratic ideal grew in strength over the period. The book maps these changing patterns of political support to deeper social and cultural developments, and thereby produce a new and distinctive history of British democracy that challenges some of the simplistic narratives that underpin contemporary political debate.
Introduction
Authors: Bingham Adrian 
Published: November 2024

Abstract
The introduction outlines the key themes of the book, discusses the relevant literature, explains the methodological approach, and sets out some of the key findings. It clarifies the use of terms such as ‘everyday’ and ‘ordinary’, noting that the central focus is on the ‘unmobilized majority’ of citizens who were not (or were only intermittently) party members, political activists or participants in social movements, and on how their thinking about politics was shaped by their family life, social and workplace interactions, and media consumption. It argues for a fluid and capacious definitions of both ‘politics’ and ‘engagement’. It explains that the book analyses three broad types of popular political thinking: high-level frames and narratives; opinions about the performance and competence of leaders, parties, and governing institutions; and views about specific issues and policies.
Divided Democracy, Early 1970s to Early 1990s
Authors: Bingham Adrian 
Published: November 2024

Abstract
This chapter shows how the tensions underlying British politics emerged more clearly from the early 1970s as the economic situation worsened, and Conservative and Labour governments alike struggled to deal with challenges of weakening growth, inflation, and industrial action. Ordinary voters were becoming increasingly disillusioned with the main parties and susceptible to alternatives. Margaret Thatcher, who became Conservative leader in 1975, was able to exploit the appetite for change with a rhetoric of individual opportunity and the return of traditional values that resonated with people who were anxious about the overreach of the state, the power of trade unions, and the pace of social change. Thatcher alienated as many voters as she attracted, but she was able to marshal a powerful electoral coalition against a divided political opposition, particularly after her leadership in the Falklands War transformed belief in her overall competence. With social and economic divisions widening, however, and modest victories in general elections translating into crushing parliamentary majorities, significant sections of the population were becoming further disaffected with politics. The 1992 election demonstrated the importance of competence in voters’ calculations, but enthusiasm for politics, and trust in politicians, remained at a low ebb.
CTNND1 affects trophoblast proliferation and specification during human embryo implantation
Authors: Qin Jiaying , Lv Bo , Yao Yao , Han Xuan , Xue Zhigang , Lin Chao-Po , Xue Jinfeng , Ji Yazhong 
Published: November 2024

Abstract
The placenta, serving as the crucial link between maternal and infant, plays a pivotal role in maintaining a healthy pregnancy. Placental dysplasia can lead to various complications, underscoring the importance of understanding trophoblast lineage development. During peri-implantation, the trophectoderm undergoes differentiation into cytotrophoblast, syncytiotrophoblast, and extravillous trophoblast. However, the specification and regulation of human trophoblast lineage during embryo implantation, particularly in the peri-implantation phase, remain to be explored. In this study, we employed a co-culture model of human endometrial cells and native embryos and analyzed the single-cell transcriptomic data of 491 human embryonic trophoblasts during E6 to E10 to identify the key regulatory factors and the lineage differentiation process during peri-implantation. Our data identified four cell subpopulations during the implantation, including a specific transitional state toward the differentiation in which the CTNND1, one crucial component of Wnt signaling pathway activated by cadherins, acted as a crucial factor. Knockdown of CTNND1 impacted the proliferative capacity of human trophoblast stem cells, leading to early extravillous trophoblast-like differentiation. Intriguingly, ablation of CTNND1 compromised the terminal differentiation of human trophoblast stem cells toward syncytiotrophoblast or extravillous trophoblast in vitro. These findings contribute valuable insights into trophoblast lineage dynamics and offer a reference for research on placental-related diseases.
Developmental programming: preconceptional and gestational exposure of sheep to biosolids on offspring ovarian dynamics
Authors: Halloran Katherine M , Zhou Yiran , Bellingham Michelle , Lea Richard G , Evans Neil P , Sinclair Kevin D , Smith Peter , Padmanabhan Vasantha 
Published: November 2024

Abstract
Developmental exposure to environmental chemicals perturbs establishment and maintenance of the ovarian reserve across the reproductive lifetime, leading to premature follicle depletion and ovarian aging. Considering humans are exposed to a complex mixture of environmental chemicals, real-life models assessing their cumulative impact on the ovarian reserve are needed. Biosolids are a source of a real-life mixture of environmental chemicals. While earlier studies demonstrated that grazing pregnant sheep on biosolids-treated pastures did not influence establishment of the ovarian reserve in fetal life, its impact on subsequent depletion of ovarian reserve during reproductive life of offspring is unknown. We hypothesized that developmental exposure to biosolids accelerates depletion of ovarian reserve. Ovaries were collected from F1 juveniles (9.5 weeks) and adults (2.5 years) born to F0 ewes grazed on control inorganic fertilizer pastures or biosolids-treated pastures from before conception and throughout gestation. The impact on follicular density, activation rate, and anti-Müllerian hormone (mediator of activation) expression by immunohistochemistry was determined. Activation rate was increased in F1 biosolids-treated pastures juveniles with a corresponding reduction in primordial follicle density. In contrast, activation rate and ovarian reserve were similar between control and F1 biosolids-treated pastures adults. The density of anti-Müllerian hormone-positive antral follicles was lower in biosolids-treated pastures juveniles, whereas anti-Müllerian hormone expression tended to be higher in antral follicles of biosolids-treated pastures adults, consistent with the changes in the ovarian reserve. These findings of detrimental effects of developmental exposure to biosolids during juvenile life that normalizes in adults is supportive of a shift in activation rate likely related to peripubertal hormonal changes.
Fertility and early embryonic development in a CD46-edited Gir heifer with reduced susceptibility to BVDV
Authors: Snider Alexandria P , Workman Aspen M , Heaton Michael P , Vander Ley Brian L , Krueger Alexandria C , Sonstegard Tad S 
Published: November 2024

Abstract
Bovine viral diarrhea virus (BVDV) infection during pregnancy is a significant contributor to reproductive failures in cattle. The bovine receptor for BVDV (CD46) was previously edited with a six amino acid substitution (G82QVLAL to A82LPTFS) and shown to have significantly reduced BVDV susceptibility in a Gir heifer calf. Since a role for CD46 has been proposed in mammalian fertilization, our objective was to assess the edited heifer’s fertilization rates, early embryonic development, and germline transmission conformation of the edit. Cumulus oocyte complexes were collected from the edited heifer and unedited females, fertilized with semen from an unedited bull and cultured until the blastocyst stage. Ultrasound examinations and serum progesterone concentration were also monitored to confirm estrous cyclicity in the CD46-edited heifer. Estrous cyclicity was normal with visualization of a corpus luteum and elevated progesterone concentrations. Fertilization rates and blastocyst development were not different in oocytes from edited and unedited controls. Genome sequence analysis of blastocysts confirmed germline transmission of either edited allele from the heifer. Subsequently, the CD46-edited heifer was artificially inseminated with semen from an unedited Gir bull and fertility status was confirmed with a diagnosed conception at Day 35 of gestation. Thus, a six amino acid substitution in CD46 did not negatively affect fertilization of edited oocytes or early embryonic development when fertilized with semen from an unedited bull. An edited bull is still needed to similarly evaluate reproductive function of sperm cells carrying this CD46 edit.
Exosomal ncRNAs in reproductive cancers
Authors: Kowalczyk Alicja , Wrzecińska Marcjanna , Gałęska Elżbieta , Czerniawska-Piątkowska Ewa , Camiña Mercedes , Araujo Jose P , Dobrzański Zbigniew 
Published: November 2024

Abstract
Extracellular vesicles, particularly exosomes, play a pivotal role in the cellular mechanisms underlying cancer. This review explores the various functions of exosomes in the progression, growth, and metastasis of cancers affecting the male and female reproductive systems. Exosomes are identified as key mediators in intercellular communication, capable of transferring bioactive molecules such as microRNAs, proteins, and other nucleic acids that influence cancer cell behavior and tumor microenvironment interactions. It has been shown that non-coding RNAs transported by exosomes play an important role in tumor growth processes. Significant molecules that may serve as biomarkers in the development and progression of male reproductive cancers include miR-125a-5p, miR-21, miR-375, the miR-371 ~ 373 cluster, and miR-145-5p. For female reproductive cancers, significant microRNAs include miR-26a-5p, miR-148b, miR-205, and miRNA-423-3p. This review highlights the potential of these noncoding RNAs as biomarkers and prognostics in tumor diagnostics. Understanding the diverse roles of exosomes may hold promise for developing new therapeutic strategies and improving treatment outcomes for cancer patients.