bluuebunny/crossref_metadata_2025 huggingface dataset:
Crystal-based pair production for a lepton collider positron source
Authors: Bandiera L. , Bomben L. , Camattari R. , Cavoto G. , Chaikovska I. , Chehab R. , De Salvador D. , Guidi V. , Haurylavets V. , Lutsenko E. , Mascagna V. , Mazzolari A. , Prest M. , Romagnoni M. , Ronchetti F. , Sgarbossa F. , Soldani M. , Sytov A. , Tamisari M. , Tikhomirov V. , Vallazza E.
Published: August 2022

An intense positron sources is a demanding element in the design of future lepton colliders. A crystal-based hybrid positron source could be an alternative to a more conventional scheme based on the electron conversion into positron in a thick amorphous target. The conceptual idea of the hybrid source is to have two separate objects, a photon radiator and a photon-to-positron converter target. In such a scheme an electron beam crosses a thin axially oriented crystal with the emission of a channeling radiation, characterized by a considerably larger amount of photons if compared to Bremsstrahlung. The net result is an increase in the number of produced positrons at the converter target. In this paper we present the results of a beam test conducted at the DESY TB 21 with 5.6 GeV electron beam and a crystalline tungsten radiator. Experimental data clearly highlight an increased production of photons and they are critically compared with the outcomes of novel method to simulate the number of radiated photons, showing a very good agreement. Strong of this, the developed simulation tool has been exploited to design a simple scheme for a positron source based on oriented crystal, demonstrating the advantages in terms of reduction of both deposited energy and the peak energy deposition density if compared to conventional sources. The presented work opens the way for a realistic and detailed design of a hybrid crystal-based positron source for future lepton colliders.
ℛ(p,q)-deformed super Virasoro n-algebras
Authors: Melong Fridolin
Published: August 2022

In this paper, we construct the super Witt algebra and super Virasoro algebra in the framework of the [Formula: see text]-deformed quantum algebras. Moreover, we perform the super [Formula: see text]-deformed Witt [Formula: see text]-algebra, the [Formula: see text]-deformed Virasoro [Formula: see text]-algebra and discuss the super [Formula: see text]-Virasoro [Formula: see text]-algebra ([Formula: see text] even). Besides, we define and construct another super [Formula: see text]-deformed Witt [Formula: see text]-algebra and study a toy model for the super [Formula: see text]-Virasoro constraints. Relevant particular cases induced from the quantum algebras known in the literature are deduced from the formalism developed.
Bifurcation analysis of a modified continuum traffic flow model considering driver’s reaction time and distance
Authors: Ai WenHuan , Li Na , Duan WenShan , Tian RuiHong , Liu DaWei
Published: August 2022

A modified continuum traffic flow model is established in this paper based on an extended car-following model considering driver’s reaction time and distance. The linear stability of the model and the Korteweg–de Vries (KdV) equation describing the density wave of traffic flow in the metastable region are obtained. In the new model, the relaxation term and the dissipation term exist at the same time, thus the type and stability of equilibrium solution of the model can be analyzed on the phase plane. Based on the equilibrium point, the bifurcation analysis of the model is carried out, and the existence of Hopf bifurcation and saddle-node bifurcation is proved. Numerical simulations show that the model can describe the complex nonlinear dynamic phenomena observed in freeway traffic, such as local cluster effect. Various bifurcations of the model, such as Hopf bifurcation, saddle-node bifurcation, Limit Point bifurcation of cycles, Cusp bifurcation and Bogdanov–Takens bifurcation, are also obtained by numerical simulations, and the traffic behaviors of some bifurcations are studied. The results show that the numerical solution is consistent with the analytical solution. Consequently, some nonlinear traffic phenomena can be analyzed and predicted from the perspective of global stability.
Routing and congestion in multi-modal transportation networks
Authors: Wang Cong , Xia Yongxiang , Shen Hui-Liang
Published: August 2022

With the increasing complexity and demand for transportation networks, effective routing planning has attracted more and more attention. Different modes of transportation, such as the airplane, railway and so on, work together, forming a multi-modal transportation network. Therefore, this paper studies the routing and congestion problems in the multi-modal transportation network, and shows how to increase the network capacity as much as possible while saving time and economic costs, so as to avoid congestion and realize the effective use of different modes of transportation. This paper simulates the influence of two main factors on the network capacity, the parameter which shows the importance between time costs and economic costs, and the difference between different transportation modes. The results show the change of the network capacity when the time cost and economic cost are of different importance. There exists a critical point that can balance time costs and economic costs, so as to maximize network capacity. Then this paper further finds out the method of estimating the condition when the network takes the maximum capacity through theoretical analysis.
Thermodynamics and phase transition of d-dimensional charged AdS black hole in rainbow gravity
Authors: Yang Mengying , Long Feng , Chen Juhua , Wang Yongjiu
Published: August 2022

In this paper, we have studied the thermodynamic properties of charged AdS black hole with different dimensions under rainbow gravity. At first, by employing the Heisenberg uncertainty principle and the modified dispersion relation and analyzing the effect of rainbow gravity parameter [Formula: see text] and AdS radius [Formula: see text] on the thermodynamics and phase transformation, we have found that the phase structure is related to the AdS radius [Formula: see text] and the heat capacity behaviors are quite similar for different rainbow gravity parameters [Formula: see text] and different dimensions [Formula: see text]. Then, for the rainbow gravity, introducing the analogy between the charged AdS black hole and liquid–gas systems and analyzing the critical behavior of the state equation for charged AdS black hole in different dimensions, the charged AdS black hole has Van der Waals-like phase transitions. At last, we have discussed the relationship between Gibbs free energy [Formula: see text] and Hawking temperature [Formula: see text] in different dimensions and found the typical dovetail behavior, which can be interpreted as a first-order phase transition for the charged AdS black hole under rainbow gravity.
Towards an Intrinsic Interpretability Approach for Multimodal Hate Speech Detection
Authors: Du Pengfei , Gao Yali , Li Xiaoyong
Published: August 2022

With the development of social media, multimodal hate speech that relies on images and text has become an emerging way of spreading hate. The detection of multimodal hate speech is gradually becoming an increasingly challenging task. While many works based on neural networks and multimodal machine learning were proposed to detect multimodal hate speech, only few attempts have been made in terms of the interpretability of the task. This leads to difficulties in analyzing prediction results and model improvement. Therefore, this paper investigates the interpretable multimodal hate speech detection task and develops an intrinsically interpretable deep learning method by leveraging the multimodal architecture. Specifically, we leverage a multimodal pretrained model as the backbone of the final detection results and parallel an interpretability module via a joint training approach, which calculates the input tokens and fine-grained tags through a filter-gate attention mechanism. The interpretability module provides an interpretable basis for the final result judgment. We conduct experiments on the hate speech detection dataset and demonstrate that our proposed method not only significantly outperforms other methods but also provides interpretable insights into the decisions of our model.
AHI: Growth and Improvement of Cross-Border E-Commerce Using IVAS
Authors: Zhang Xiaoli
Published: August 2022

Electronic commerce is a principle that is getting momentum in the business world. Like other e-commerce papers, the purpose of this paper was to enlighten on e-commerce adaptation, trends, and concerns that are actively encouraging and inhibiting its efficiencies by conducting a thorough analysis of relevant literature in the field. It has been observed that there has been an increasing tendency of e-commerce implementation nationally and internationally, even in the least developed countries, which is encouraged by e-commerce adoption gains for businesses such as improved sales possibilities, economic viability with enlarged coverage, and improved customer care. Apart from browser buying, online companies offer a variety of Web-based advertising alternatives to businesses; retailers have been captivated by the concept of expanding their marketplace via digital portals and have applied it to improve customer experience. The use of technologies in online buying or advertising is performed to carry out increased marketing. The popularity of online purchasing is rapidly increasing. In today’s commercial world, e-commerce is booming. E-commerce entails the purchase and sale of products and services, as well as the transmission of payments or information, over an electronic network, most commonly the Internet. This research paper analyzes the concept and working of e-commerce platforms. Moreover, the main objective of this research paper is to investigate different meanings of e-commerce for the masses. This paper proposes a solution to tackle all issues and mischiefs that are related to virtual assistants (VAs) and gives an infrastructure about how businesses can flourish without VAs.
Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations
Authors: Gonon Lukas , Schwab Christoph
Published: August 2022

Deep neural networks (DNNs) with ReLU activation function are proved to be able to express viscosity solutions of linear partial integrodifferential equations (PIDEs) on state spaces of possibly high dimension d. Admissible PIDEs comprise Kolmogorov equations for high-dimensional diffusion, advection, and for pure jump Lévy processes. We prove for such PIDEs arising from a class of jump-diffusions on [Formula: see text], that for any suitable measure [Formula: see text] on [Formula: see text], there exist constants [Formula: see text] such that for every [Formula: see text] and for every [Formula: see text] the DNN [Formula: see text]-expression error of viscosity solutions of the PIDE is of size [Formula: see text] with DNN size bounded by [Formula: see text].

In particular, the constant [Formula: see text] is independent of [Formula: see text] and of [Formula: see text] and depends only on the coefficients in the PIDE and the measure used to quantify the error. This establishes that ReLU DNNs can break the curse of dimensionality (CoD for short) for viscosity solutions of linear, possibly degenerate PIDEs corresponding to suitable Markovian jump-diffusion processes.

As a consequence of the employed techniques, we also obtain that expectations of a large class of path-dependent functionals of the underlying jump-diffusion processes can be expressed without the CoD.
A new look at black holes via thermal dimensions and the complex coordinates/ temperature vectors correspondence
Authors: Perelman Carlos Castro
Published: August 2022

The action of active diffeomorphisms (diffs) [Formula: see text] on the Schwarzschild metric leads to metrics which are also static spherically symmetric solutions of the Einstein vacuum field equations. It is shown how in a [Formula: see text] case it allows to introduce a deformation of the manifold such that [Formula: see text], and [Formula: see text] corresponding, respectively, to the spacelike singularity and horizon of the Schwarzschild metric. In doing so, one ends up with a spherical [Formula: see text] surrounding the singularity at [Formula: see text]. In order to explore the “interior” region of this void, we introduce complex radial coordinates whose imaginary components have a direct link to the inverse Hawking temperature, and which furnish a path that provides access to interior region. In addition, we show that the black hole entropy [Formula: see text] (in Planck units) is equal to the [Formula: see text] of a rectangular strip in the [Formula: see text] radial-coordinate plane associated to this path. The gist of the physical interpretation behind this construction is that there is an emergence of thermal dimensions which unfolds as one plunges into the interior void region via the use of complex coordinates, and whose imaginary components capture the span of the thermal dimensions. Namely, the filling of the void leads to an [Formula: see text] internal/ thermal dimension via the imaginary part [Formula: see text] of the complex radial variable [Formula: see text].
The radio k-chromatic number for corona of graphs
Authors: Niranjan P. K. , Kola Srinivasa Rao
Published: August 2022

For a connected simple graph [Formula: see text] and a positive integer [Formula: see text], a radio [Formula: see text]-coloring is an assignment [Formula: see text] of positive integers (colors) to the vertices of [Formula: see text] such that for every pair of distinct vertices [Formula: see text] and [Formula: see text] in [Formula: see text], [Formula: see text]. The span [Formula: see text] of [Formula: see text] is [Formula: see text]. The minimum of [Formula: see text] is a radio [Formula: see text]-coloring of [Formula: see text] is called the radio [Formula: see text]-chromatic number of [Formula: see text] and is denoted by [Formula: see text]. If [Formula: see text] is the diameter of [Formula: see text], then a radio [Formula: see text]-coloring is referred as a radio coloring and the radio [Formula: see text]-chromatic number as the radio number, [Formula: see text], of [Formula: see text]. In this paper, we obtain an upper bound for the radio k-chromatic number of the corona of two graphs [Formula: see text] and [Formula: see text] for [Formula: see text], and we obtain a necessary condition for this upper bound to be exact. Also, we see that for path [Formula: see text], [Formula: see text] even and complete graph [Formula: see text] the upper bound is sharp for [Formula: see text] and [Formula: see text], where [Formula: see text] is an arbitrary graph. Further, we give a lower bound and an improved upper bound for [Formula: see text], [Formula: see text] odd and [Formula: see text], [Formula: see text] is hypercube.
Some bounds on the size of maximum G-free sets in graphs
Authors: Rowshan Yaser
Published: August 2022

For a given graph [Formula: see text], the independence number [Formula: see text] of [Formula: see text] is the size of the maximum independent set of [Formula: see text]. Finding the maximum independent set in a graph is NP-hard. Another version of the independence number is defined as the size of the maximum-induced forest of [Formula: see text], and called the forest number of [Formula: see text], and denoted by [Formula: see text]. Finding [Formula: see text] is also an NP-hard problem. Suppose that [Formula: see text] is a graph, and [Formula: see text] is a family of graphs, a graph [Formula: see text] has a [Formula: see text]-free [Formula: see text]-coloring if there exists a decomposition of [Formula: see text] into sets [Formula: see text], [Formula: see text], so that [Formula: see text] for each [Formula: see text], and each [Formula: see text]. [Formula: see text] is [Formula: see text]-free, if the subgraph of [Formula: see text] induced by [Formula: see text] is [Formula: see text]-free, i.e., it contains no copy of [Formula: see text]. Finding a maximum subset [Formula: see text] of [Formula: see text], such that [Formula: see text] is a [Formula: see text]-free graph is a very hard problem as well. In this paper, we study the generalized version of the independence number of a graph. Also, we give some bounds about the size of the maximum [Formula: see text]-free subset of graphs as another purpose of this paper.
Cohesion energy simulation of inorganic layered alkaline-earth fluorohalides
Authors: Sabry Abdelhadi
Published: August 2022

Within the framework of an interionic potential model, electrostatic and repulsive energies, lattice self-potentials for distinct ions, and the Madelung constant were calculated for several technologically important layered alkaline-earth fluorohalide scintillators belonging to the matlockite family and crystallizing with the PbFCl-type structure. The Coulombic term was computed using the conventional Ewald method, where the formulas were adjusted to optimize the computer calculation, and the overlap repulsive term was computed by means of an empirical approach based on the compressible ionic theory. The dispersive contribution was quantified using well-known formulations, and the polarization contribution was determined purely by geometric considerations based on both the size and anisotropic coordination of the highly polarizable halogen atom. In general, the obtained results were found to be in close agreement with the available data, except for the contribution of short-range interactions in the lattice. A quantitative explanation has been proposed to elucidate the differences detected. It was pointed out that the structural stability of these lamellar structures can be understood in terms of the anisotropic coordination of halogen anions, especially the high coordination of metal cations combined with their sizes. Our calculations led to an accurate evaluation of the cohesive energy, which, to the best of our knowledge, has never been measured before. Finally, the corresponding results will be useful for a better understanding of the chemical bonds and structural behavior of PbFCl-type compounds at high pressures.
Solving Thin-Body Acoustic Problems Over an Impedance Plane with a Fast Multipole Indirect Boundary Element Method
Authors: Liang Meng-Hui , Zhang Yong-Bin , Zheng Chang-Jun , Wang Shuai , Bi Chuan-Xing
Published: August 2022

This paper presents a fast multipole indirect boundary element solver for the thin-body acoustic problems over an infinite impedance plane. The half-space impedance Green’s function involving a complex line source to approximate the porous ground effects is employed in the indirect boundary integral equation (IBIE), which makes that both mass-like and spring-like impedance conditions on the infinite plane are explicitly satisfied. A nonsingular IBIE formulation is derived to implement the fast multipole method (FMM) easily. The image relations of multipole moments are used to avoid the computation and translation of multipole/local expansion coefficients in the image domain. To deal with the numerical instability in the local translation of image multipole moments, a half-space tree structure is elaborately constructed for the FMM. The validity of the method is testified by a benchmark example and the potential of the method is investigated by the numerical simulation of noise barriers with different geometrical configurations.
Investigating the Role of Novel Benzotrithiophene-Based Bat-Shaped Non-Fullerene Acceptors for High Performance Organic Solar Cells
Authors: Atiq Kainat , Hussain Riaz , Adnan Muhammad , Khan Muhammad Usman , Irshad Zobia , Yaqoob Junaid , Khalid Muhammad , Assiri Mohammed A. , Imran Muhammad , Lim Jongchul
Published: August 2022

The development of an effective building blocks considered the boon in constructing highly efficient nonfullerene electron acceptors (NFEAs). The first theoretical design and investigation of environmental-friendly groups for changing potential end-capped electron acceptor molecules for high-performance environmental-friendly OSCs is proposed in this study. We developed BTT-based [Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text] (acceptor–bridge–core–bridge–acceptor) type, neoteric Bat-shaped environmental-friendly acceptor molecules (K1–K6) for the first time by replacing the electronegative –F group of BTT with four electron-withdrawing (–CN, –COOCH3, –NO2, –Cl) groups. K1–K6 has its exciton-binding energy ([Formula: see text]), open-circuit voltage ([Formula: see text]), frontier molecular orbital analysis (FMO), transition density matrix (TDM) analysis, electron and hole reorganization energy ([Formula: see text]e, [Formula: see text]h), density of state (DOS) graphs, and transition energy Ex values computed and compared to the recently proposed high-performance BTT molecule. According to the research, the photovoltaic, photo-physical and electrical applications of proposed molecules K1–K6 are comparable to those of [Formula: see text]. When compared to reference [Formula: see text] and proposed molecules, K6 tested to be the proverbial optoelectronic compound for OSCs due to its low [Formula: see text] (2.05[Formula: see text]eV), lowest [Formula: see text] (1.57[Formula: see text]eV), highest [Formula: see text] max values of 790.61[Formula: see text]nm in CHCl3, 0.95[Formula: see text]V value for [Formula: see text] and comparable [Formula: see text] (0.482[Formula: see text]eV). The superposition of orbitals and lucrative charge shift from the highest occupied molecular orbital (HOMO) (PTB7-Th) to the lowest unoccupied molecular orbital (LUMO) were verified by charge transfer study among the K6: PTB7-Th combine. As a result, the proposed molecules (K1–K6) with exceptional optoelectronic capabilities are suggested as the best harmless alternative materials for creating proficient and environmental-friendly OSCs.
Japan’s Diplomacy Towards ASEAN from the Perspective of its “Indo-Pacific Strategy”
Authors: Bi Shihong
Published: August 2022

Ever since Japan put forward “a free and open Indo-Pacific” strategy, ASEAN countries have become the cut-in point for Japan to establish an Indo-Pacific order. Japan has carried out a lot of cooperation with ASEAN countries in safeguarding a free and open regional order, high-quality infrastructure, connectivity, economic zone construction, and maritime security. However, as its “Indo-Pacific strategy” is still in the conceptual stage, it is difficult for Japan to lead ASEAN countries into its expected track. Pursuing a balanced diplomacy towards major powers, ASEAN wishes to maintain its centrality in the Indo-Pacific order through cooperation with Japan, so as to achieve a dynamic balance in the Indo-Pacific region. This will exert great impacts on the future development of international relations in this region.
Online Algorithms for Weighted Paging with Predictions
Authors: Jiang Zhihao , Panigrahi Debmalya , Sun Kevin
Published: August 2022

In this article, we initiate the study of the weighted paging problem with predictions. This continues the recent line of work in online algorithms with predictions, particularly that of Lykouris and Vassilvitski (ICML 2018) and Rohatgi (SODA 2020) on unweighted paging with predictions. We show that unlike unweighted paging, neither a fixed lookahead nor a knowledge of the next request for every page is sufficient information for an algorithm to overcome the existing lower bounds in weighted paging. However, a combination of the two, which we call strong per request prediction (SPRP), suffices to give a 2-competitive algorithm. We also explore the question of gracefully degrading algorithms with increasing prediction error, and give both upper and lower bounds for a set of natural measures of prediction error.
FinTech Lending
Authors: Berg Tobias , Fuster Andreas , Puri Manju
Published: August 2022

In this article, we review the growing literature on financial technology (FinTech) lending—the provision of credit facilitated by technology that improves the customer–lender interaction or used in lenders’ screening and monitoring of borrowers. FinTech lending has grown rapidly, though in developed economies like the United States it still accounts for only a small share of total credit. An increase in convenience and speed appears to have been more central to FinTech lending's growth than improved screening or monitoring, though there is certainly potential for the latter, as is the case for increased financial inclusion. The COVID-19 pandemic has shown potential vulnerabilities of FinTech lenders, although in certain segments they have displayed rapid growth.
Self-Continuity
Authors: Sedikides Constantine , Hong Emily K. , Wildschut Tim
Published: August 2022

Self-continuity is the subjective sense of connection between one's past and present selves (past–present self-continuity), between one's present and future selves (present–future self-continuity), or among one's past, present, and future selves (global self-continuity). We consider the motivational character of the three forms of self-continuity, their regulatory properties, and the internal or external factors that consolidate them. We also review their consequences for attitudes and judgments or decisions, motivation, intentions and behavior, and psychological and physical health. We further detail the psychological and behavioral benefits of self-discontinuity (i.e., a sense of disconnect among temporal selves). We next turn to the brain regions that are activated synchronously with self-continuity. We consider developmental perspectives on self-continuity, discuss collective self-continuity (along with its consequences and regulatory properties), and elaborate on cultural differences in self-continuity. This inaugural Annual Reviews chapter demonstrates the breadth, excitement, and sense of synergy among self-continuity researchers and points to promising research directions.
The importance of biological sex in cardiac cachexia
Authors: Holder Ethan R. , Alibhai Faisal J. , Caudle Samantha L. , McDermott John C. , Tobin Stephanie W.
Published: August 2022

Cardiac cachexia is a catabolic muscle-wasting syndrome observed in approximately 1 in 10 patients with heart failure. Increased skeletal muscle atrophy leads to frailty and limits mobility, which impacts quality of life, exacerbates clinical care, and is associated with higher rates of mortality. Heart failure is known to exhibit a wide range of prevalence and severity when examined across individuals of different ages and with comorbidities related to diabetes, renal failure, and pulmonary dysfunction. It is also recognized that men and women exhibit striking differences in the pathophysiology of heart failure, as well as skeletal muscle homeostasis. Given that both skeletal muscle and heart failure physiology are in part sex-dependent, the diagnosis and treatment of cachexia in patients with heart failure may depend on a comprehensive examination of how these organs interact. In this review, we explore the potential for sex-specific differences in cardiac cachexia. We summarize advantages and disadvantages of clinical methods used to measure muscle mass and function and provide alternative measurements that should be considered in preclinical studies. In addition, we summarize sex-dependent effects on muscle wasting in preclinical models of heart failure, disuse, and cancer. Lastly, we discuss the endocrine function of the heart and outline unanswered questions that could directly impact patient care.
A Novel Portable Soil Water Sensor Based on Temperature Compensation
Authors: Tian Hao , Yu Chongchong , Xie Tao , Zheng Tong , Sun Mei
Published: August 2022

Soil water sensors based on the standing wave rate (SWR) principle are affected by temperature in long-term operation. To address this problem, a temperature compensation model based on the binary regression analysis method is proposed. The measurement results of the temperature-compensated standing wave rate (TCSWR) sensor at different temperatures and soil volumetric water content are analyzed, and the least-squares principle is used to identify the parameters to be determined in the compensation model for temperature for the SWR soil water sensor. A portable tapered TCSWR sensor with built-in temperature compensation model was developed on this basis. The calibration results show that the standing wave measurement circuit of the TCSWR sensor can effectively respond to changes in soil water, and the coefficient of the fitted equation exceeds 0.95. A comparison of the results before and after temperature compensation proves that compensation can significantly reduce the measurement error of the TCSWR sensor and improve the measurement accuracy. The static and dynamic characteristics of the TCSWR sensor show that the measurement range of the TCSWR sensor is7.50%-31.50%, the measurement accuracy is ±0.63%, the stability is good, the resolution is a minimum of 0.05%, and the dynamic response time is less than 1 s. The absolute error of the TCSWR sensor measurement is less than 1% in comparison with similar sensors, demonstrating that the measurement results of the TCSWR sensor are reliable.
The Essential Role of FoxO1 in the Regulation of Macrophage Function
Authors: Rong Shan Jie , Yang Chun Liang , Wang Fa Xi , Sun Fei , Luo Jia Hui , Yue Tian Tian , Yang Ping , Yu Qilin , Zhang Shu , Wang Cong-Yi
Published: August 2022

Macrophages are widely distributed in various tissues and organs. They not only participate in the regulation of innate and adaptive immune response, but also play an important role in tissue homeostasis. Dysregulation of macrophage function is closely related to the initiation, development and prognosis of multiple diseases, including infection and tumorigenesis. Forkhead box transcription factor O1 (FoxO1) is an important member among the forkhead box transcription factor family. Through directly binding to the promoter regions of downstream target genes, FoxO1 is implicated in cell proliferation, apoptosis, metabolic activities and other biological processes. In this review, we summarized the regulatory role of FoxO1 in macrophage phagocytosis, migration, differentiation and inflammatory activation. We also emphasized that macrophage reciprocally modulated FoxO1 activity via a post‐translational modification (PTM) dominant manner.
Mathematical Model and Genetic Algorithm in Computer Programming Optimization and Network Topology Structure
Authors: An Yonghong
Published: August 2022

Recent emphasis has been focused on the industrial Internet of Things (Ind-IoT) in the context of the Fourth Industrial Revolution (Industry 4.0). IoT devices are used in the Ind-IoT to increase manufacturing productivity. The problem, however, is that these instruments will create enormous volumes of data records that must be handled efficiently. Cloud computing (CC) is frequently cited as a viable option for providing effective support for Ind-IoT applications. However, the high-latency and unstable connectivity problem between the cloud and Ind-IoT endpoints continues to plague Ind-IoT operations. Fog computing (FC), which extends computation and storage to the edge of the network, is a possible answer to these problems. Cloud-fog integrated Internet of Things (CFI-Ind-IoT) is discussed in this study as an approach to integrating FC with cloud-based industrial Internet of Things (Ind-IoT). A constrained multiparent crossover genetic algorithm (CMPC-GA) for optimization of the load adjusting challenge in the distributed cloud-fog network is proposed in order to attain ultralow response latency in the CFI-Ind-IoT system. Furthermore, we develop a duty reallocation and retransmission method in order to lower the average delivery latency of the CFI-Ind-IoT architecture due to the unreliable scenario. Effectiveness measurements show that the CMPC-GA technique can deliver ultralow latency functionality in a typical Ind-IoT.
SFN: A Novel Scalable Feature Network for Vulnerability Representation of Open-Source Codes
Authors: Guo Junjun , Wang Zhengyuan , Zhang Li , Xue Yang , Long Kai , Jing Xin , Cheng Jing , Li Guiping
Published: August 2022

Vulnerability detection technology has become a hotspot in the field of software security, and most of the current methods do not have a complete consideration during code characterizing, which leads to problems such as information loss. Therefore, this paper proposes one class of Scalable Feature Network (SFN), a composite feature extraction method based on Continuous Bag of Words and Convolutional Neural Network. In addition, to characterize the source code more comprehensively, we construct multiscale code metrics in terms of semantic-, line-, and function granularity. In order to verify the effectiveness of the SFN, this paper builds a Scalable Vulnerability Detection Model (SVDM) by combining SFN with Bi-LSTM. The experimental results show that the proposed SVDM can obtain precision over 84.3% and recall at 83.4%, respectively, while both FNR and FPR are less than 17%.
Development Management of Infant Dairy Industry Integrating Internet of Things under the Background of Family Planning Policy Adjustment
Authors: Chen Qingxin , Shi Huihui , Chen Jiawen
Published: August 2022

To promote the healthy and stable development of infant dairy industry, this work starts from the background of family planning policy adjustment. Based on the Internet of Things (IoT), fertility policy, and other related theories, this work analyzes the population size changes and fertility willingness of Chinese women of childbearing age between 20 and 39 years old from 1980 to 2020. Additionally, this work discusses the current development of infant dairy industry and the willingness of residents in the first, second, third, and fourth tier cities to purchase domestic or imported milk powder. Finally, the IoT technology is introduced into the farm and infant dairy processing links for analysis. The results show that the population of women of childbearing age in China is shrinking year by year, and the willingness to bear children is also declining. From 2016 to 2021, the number of women of childbearing age will decrease by an average of 2.85 million every year. Women in rural areas are more willing to give birth than those in urban areas. Compared with Vietnam and India, China has the lowest population growth rate, followed by Vietnam and India. At present, the development of domestic infant dairy products is facing many setbacks due to the reduction of the birth population, the impact of foreign brands, and the “melamine” incident. Fortunately, due to the strict supervision of the market by the government, a certain proportion of the market has been gradually achieved in recent years. However, residents of the first, second, third, and fourth tier cities are still more willing to buy foreign milk powder. Introducing the IoT technology into the development of infant dairy industry can monitor the content of relevant additives and record the production information through radio frequency identification technology, which improves the quality of dairy products to a certain extent. Therefore, the research on the management of infant dairy industry integrated with the IoT under the background of family planning policy adjustment will have a certain beneficial impact on the subsequent development of the industry.
A Local Enhancement Method for Large-Scale Building Facade Depth Images using Densely Matched Point Clouds
Authors: Guo Jiao , Li Ke , Xu Hao
Published: August 2022

In recent years, laser scanning systems have been widely used to acquire multi-level three-dimensional spatial objects in real time. The laser scanning system is used to acquire the three-dimensional point cloud data of urban scenes. Due to the large-scale characteristics of urban scenes, and the problems of scanning occlusion, scanning path, and limited scanning laser range, the laser scanning system cannot scan every object in the scene comprehensively, multidirectionally and finely, so the corresponding three-dimensional point cloud data collected by many objects are incomplete, and the data images are relatively sparse and unevenly distributed. The existing point cloud denoising and enhancement algorithms, such as AMLS, RMLS, LOP, and WLOP, all use local information to enhance the missing or sparse parts of the point cloud. This point cloud enhancement method is only limited to a small range and cannot do anything for the larger missing area of the point cloud. Even if it is done reluctantly, the effect is not satisfactory. There are a lot of repetitive and similar features in urban buildings, such as the repetitive areas of floors and balconies in buildings. These repetitive areas are distributed in different positions of point clouds, so the repetitive information has non local characteristics. Based on the nonlocal characteristics of building point cloud data and the repetitive structure of buildings, this article proposes a nonlocal point cloud data enhancement algorithm, which organizes the point cloud data in the repeated area into a set of basic geometric elements (planes). The structures are registered in a unified coordinate system, and the point cloud is enhanced and denoised through two denoising processes, “out-of-plane” and “in-plane.”
Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles
Authors: Zhou Zhaoming , Yuan Jianbo , Zhou Shengmin , Long Qiong , Cai Jianrong , Zhang Lei
Published: August 2022

Considering the impact of informatization condition, vehicles on the road network are divided into connected automated vehicles (CAVs) and human-driven vehicles (HDVs), which follow the principle of system optimization and stochastic user equilibrium, respectively. Taking the road network reserve capacity maximization model under the condition of road capacity constraint as the upper-level programming and the traffic assignment model under heterogeneous flow environment as the lower level programming, then a bilevel programming model is constructed. Among them, the nonuniform demand growth multiplier is adopted for each OD pair to reflect the inconsistency of traffic demand structure growth, and the calculation of link capacity is related to the market penetration of CAVs. The incremental method, method of successive averages, and simulated annealing algorithm are used to solve the model, and the effects of different market penetration on road network capacity, travel time, and saturation are analyzed through a numerical example. The relevant data under different weights are normalized and the optimal deployment scheme of CAVs and HDVs in different periods is obtained by comprehensive evaluation. Meanwhile, the mixed equilibrium flow state is explored under the premise of given market penetration to verify the feasibility of the model and algorithm.
Study on the Application Value of PBL Combined with Situational Simulation Teaching Method in Clinical Practice Teaching of Radiology Department
Authors: Gong Tong , Wang Yuting , Pu Hong , Yin Longlin , Zhou Mi
Published: August 2022

Objective. To study the application value of PBL (Problem-Based Learning) combined with a situational simulation teaching method in clinical practice teaching of radiology. Methods. 120 interns who practiced in the radiology department of our hospital from 2020 to 2021 were randomly divided into a study group and a control group. The research group used PBL combined with the scenario simulation teaching method to carry out clinical practice teaching activities. The control group was carried out according to the conventional teaching plan. After 3 months, the teaching effect and satisfaction of the two groups were compared. Results. The imaging report quality control score, intravenous contrast agent score, and practice test score in the study group were higher than those in the control group. The scores of the small class and special class in the research group were higher than those in the control group, and the difference was statistically significant (

P
<
0.05

). The scores of job competency questionnaire in the research group were higher than those in the control group (

P
<
0.05

). The occupational self-efficacy questionnaire score of the research group was higher than that of the control group (

P
<
0.05

). The nursing practice satisfaction score of the research group was higher than that of the control group (

P
<
0.05

). Conclusion. The value of PBL combined with the scenario simulation teaching method in the teaching of radiology clinical practice is significant, which can improve the work ability of interns and make them more satisfied.
Application of Mathematical Model Using Random Forest in Performance Appraisal Management of Cadres in Free Trade Zone
Authors: Zhang Jie
Published: August 2022

To improve the efficiency of scientific assessment of cadre performance, first, this work analyzes the current situation of cadre performance appraisal in the free trade zone under the background of big data, and introduces the free trade zone and Random Forest (RF) algorithm. Second, based on the cadre evaluation index, this work establishes the cadre performance evaluation system of the free trade zone. Finally, the random forest algorithm model is implemented for the performance evaluation of cadres in the free trade zone. Additionally, the model’s performance is verified with the actual data, including the acquisition of the best parameters and the most important indicators of the model and the performance comparison between the RF algorithm and other models. The results show that the performance of cadres in the free trade zone is finally divided into four grades: medium, good, qualified, and excellent. There are obvious grade differences in the performance of cadres in the free trade zone. Partly because some qualified cadres lack a strong sense of competition and professional competence, do not publicize the work of cadres in the free trade zone, and do not communicate with the masses in time. In the data processing, 18 missing experimental data were supplemented, and the best model parameters were obtained as follows: NTree = 200, MTry = 1. The most important indicators of cadre performance evaluation are the construction of a clean and honest government, the ability to act in accordance with the law and the professional ability. The accuracy of the RF algorithm obtained here is 71.4%. The prediction accuracy of the RF algorithm for the overall sample, training sample, and test sample is 94%, 96%, and 86%, respectively, which are higher than those of other common models. A RF algorithm with good classification effect is obtained and this work provides a reference for the scientific management of cadre performance appraisal.
Effects of Swallowing Rehabilitation Training with a Balloon Dilation Therapy on the Deglutition Function and Quality of Life of Patients with Dysphagia after Radiotherapy for Nasopharyngeal Carcinoma
Authors: Zhao Yaoxin , Liang Junjie , Ou Haining , Zhang Jianzhong , Huang Haiqiong , Feng Huiping
Published: August 2022

Objective. The aim of this study is to investigate the effects of swallowing rehabilitation training with a balloon dilation therapy on the deglutition function and quality of life of patients with dysphagia after radiotherapy for nasopharyngeal carcinoma (NPC). Methods. The study was a retrospective study. The data of the 100 patients with dysphagia after NPC radiotherapy in our hospital between April 2021 and April 2022 were retrospectively analyzed. The patients were separated into the control group (n = 50) and experimental group (n = 50) according to their different treatments that were balloon dilation for the former and balloon dilation with swallowing rehabilitation training for the latter. The deglutition function, which was comprehensively evaluated by Kubota’s water swallow test and assessments of penetration/aspiration and pharyngeal residue, and quality of life were compared between the two groups. Results. The scores of Kubota’s water swallow test, penetration aspiration scale (PAS), and Yale pharyngeal residue severity rating scale (YPR-SRS) in the experimental group after treatment were (2.04 ± 0.66), (2.92 ± 1.07), and (2.42 ± 0.90), respectively, which were remarkably lower than (2.58 ± 0.78), (4.38 ± 1.51), and (2.78 ± 0.86) in the control group, with distinct differences in the data between both the groups (

P
<
0.05

). The quality of life of patients in the experimental group was distinctly better than that in the control group (

P
<
0.001

). Conclusion. Swallowing rehabilitation training in combination with a balloon dilation therapy can improve the deglutition function in patients with dysphagia after NPC radiotherapy as well as their quality of life, with a clinical application value.
Artificial Intelligence Application in the Design of Children's Service Robot Based on Context Perception
Authors: Gao Jing
Published: August 2022

In the era of artificial intelligence, children's service robots will surely become one of the conventional hardware. This paper combines artificial intelligence technology and the space algorithm to design the child service robot system, improves the situational space perception algorithm, and applies the algorithm to the robot system. Moreover, this paper constructs the system structure of the children's service robot according to the actual needs and obtains the system function modules. In addition, this paper constructs a child service robot based on context perception and verifies the performance of the robot system. Finally, this paper combines the simulation experiment to carry out the interactive effect of the robot system and the service effect to children and investigates the satisfaction of parents. Through experimental research, it can be seen that the child service robot system based on situational awareness constructed in this paper has good service effects, can effectively take care of children, and has high parent satisfaction.
Determination of Vitamin B12 in Milk and Dairy Products by Isotope-Dilution Liquid Chromatography Tandem Mass Spectrometry
Authors: Huang Baifen , Zhang Jingshun , Wang Mengli , Cai Zengxuan
Published: August 2022

An isotope-dilution liquid chromatography tandem mass spectrometry method was established for the determination of vitamin B12 in milk and dairy products. The samples were spiked with stable isotope-labeled vitamin B12 and digested by pepsin and amylase. The various forms of cobalamin were transformed to cyanocobalamin by potassium cyanide after they were released from the enzymatically digested samples. Cyanocobalamin was extracted and purified by an immunoaffinity SPE cartridge and then measured in multiple reaction monitoring mode (MRM). The linear correlation coefficient (R2) of this method was greater than 0.999 in the range of 2–100 ng/mL. The detection limit and the quantification limit were 0.5 μg/kg and 1.0 μg/kg, respectively. The spiked recoveries ranged from 92.0% to 99.4% at the three spiked levels with the relative standard deviation (RSD) between 1.89% and 4.51%. The measured results of NIST SRM1849a and NIST SRM1869a by the current method are all within the reference value range. The Z value was 0.8 during participating in the FAPAS proficiency test using the developed method in 2021. The method is simple, rapid, accurate, and sensitive, and it is suitable for the determination of vitamin B12 in different types of milk and dairy products such as whey powder, whole milk powder, pure milk, fermented milk, infant formula, and prescription food for special medical purposes.