bluuebunny/crossref_metadata_2025 huggingface dataset:
Solving the matrix exponential function for the Lie groups SU(3), SU(4) and Sp(2)
Authors: Kaiser Norbert
Published: September 2022

The well known analytical formula forSU(2) matrices$$U = \exp (i \vec \tau \!\cdot \! \vec \varphi \,) = \cos |\vec \varphi \,|\mathbf{1} + i\vec \tau \!\cdot \! {\hat{\varphi }} \, \sin |\vec \varphi \,|$$U=exp(iτ→·φ→)=cos|φ→|1+iτ→·φ^sin|φ→|is extended to theSU(3) group with eight real parameters. The resulting analytical formula involves the sum over three real roots of a cubic equation, corresponding to the so-called irreducible case, where one has to employ for solution the trisection of an angle. When going to the special unitary groupSU(4) with 15 real parameters, the analytical formula involves the sum over four real roots of a quartic equation. The associated cubic resolvent equation with three positive roots belongs again to the irreducible case. Furthermore, by imposing the pertinent condition onSU(4) matrices one can also treat the symplectic groupSp(2) with ten real parameters. Since there the roots occur as two pairs of opposite sign, this simplifies the analytical formula forSp(2) matrices considerably. An outlook to the situation with quasi-analytical formulas forSU(5),SU(6) andSp(3) is also given.
Coherent radiation of photons by particle wave packets
Authors: Kazinski P. O. , Solovyev T. V.
Published: September 2022

The radiation of photons by electrons is investigated in the framework of quantum electrodynamics up to the second order in the coupling constant e. The N-particle, coherent, and thermal initial states are considered and the forms of the electron wave packets are taken into account. The explicit expressions for the intensity of radiation and the inclusive probability to record a photon are obtained. It is found that there are three processes in this order of perturbation theory where the electron wave packet radiates coherently and can be regarded as a charged fluid even on integrating over the final states of the electron, i.e., in considering the inclusive probabilities and intensity of radiation. These processes are stimulated radiation by an electron, coherent radiation from a beam of particles, and reradiation of a photon in the Compton process. We obtain the explicit expressions for the intensity of radiation and the inclusive probability to record a photon for these processes. As particular cases, we consider: stimulated transition radiation produced by an electron wave packet traversing a mirror and backlighted by a laser wave, reradiation of photons in a coherent state by an electron wave packet. In the latter case, we deduce that the wave packet of a single electron can be endowed with the susceptibility tensor and this tensor has the same form as for an electron plasma in the small recoil limit.
Event-by-event cumulants of azimuthal angles
Authors: Bilandzic Ante
Published: September 2022

We further develop the recently proposed event-by-event cumulants of azimuthal angles. The role of reflection symmetry, permutation symmetry, frame independence, and relabeling of particle indices in the cumulant expansion is discussed in detail. We argue that mathematical and statistical properties of cumulants are preserved if cumulants of azimuthal angles are defined event-by-event in terms of single-event averages of azimuthal angles, while they are violated in the traditional approach in which cumulants are defined in terms of all-event averages. We derive for the first time the example analytic solutions for the contribution of combinatorial background in the measured two- and three-particle correlations. We demonstrate that these solutions for the combinatorial background are universal, as they can be written generically in terms of multiplicity-dependent combinatorial weights and marginal probability density functions of starting multivariate distribution. The new general results between multiparticle azimuthal correlators and flow amplitudes and symmetry planes are presented.
Polarized image of an equatorial emitting ring around a 4D Gauss–Bonnet black hole
Authors: Qin Xin , Chen Songbai , Jing Jiliang
Published: September 2022

We have studied the polarized image of an equatorial emitting ring around a 4D Gauss–Bonnet black hole. Our results show that the effects of Gauss–Bonnet parameter on the polarized image depend on the magnetic field configuration, the observation inclination angle, and the fluid velocity. As the magnetic field lies in the equatorial plane, the observed polarization intensity increases monotonously with Gauss–Bonnet parameter in the low inclination angle case, and its monotonicity disappears in the case with high inclination angle. However, as the magnetic field is vertical to the equatorial plane, the polarization intensity is a monotonously increasing function of Gauss–Bonnet parameter in the high inclination angle case. The changes of the electric vector position angle with Gauss–Bonnet parameter in both cases are more complicated. We also probe the effects of Gauss–Bonnet parameter on the Strokes Q–U loops.
Leveraging change point detection to discover natural experiments in data
Authors: He Yuzi , Burghardt Keith A. , Lerman Kristina
Published: September 2022

Change point detection has many practical applications, from anomaly detection in data to scene changes in robotics; however, finding changes in high dimensional data is an ongoing challenge. We describe a self-training model-agnostic framework to detect changes in arbitrarily complex data. The method consists of two steps. First, it labels data as before or after a candidate change point and trains a classifier to predict these labels. The accuracy of this classifier varies for different candidate change points. By modeling the accuracy change we can infer the true change point and fraction of data affected by the change (a proxy for detection confidence). We demonstrate how our framework can achieve low bias over a wide range of conditions and detect changes in high dimensional, noisy data more accurately than alternative methods. We use the framework to identify changes in real-world data and measure their effects using regression discontinuity designs, thereby uncovering potential natural experiments, such as the effect of pandemic lockdowns on air pollution and the effect of policy changes on performance and persistence in a learning platform. Our method opens new avenues for data-driven discovery due to its flexibility, accuracy and robustness in identifying changes in data.
Complex physical phenomena of a generalized (3+1)-dimensional Yu-Toda-Sasa-Fukuyama equation in a two-layer heterogeneous liquid
Authors: Tantawy M. , Abdel-Gawad H. I.
Published: September 2022

Inhomogeneous liquid may be argued to inhomogeneous density or induced by an external field. It is a type of the commonly seen fluids. Heterogeneous medium, which stands to, by heterogeneous medium (HM). As a realistic example, the Earth’s atmosphere, as a whole, it is blue a heterogeneous mixture. Further, the liquid formed from oil and water, which is with non-uniform composition, is immiscible HM. The study of the dynamics of clouds, as HM fluid, is of great interest in depicting many natural phenomena. It is recognized that petroleum pollutants were being discharged in marine waters worldwide, from oil spills. So, methods for assessing petroleum load and a discussion about the concerns of these loads were presented. Due to the wide spread of the applications of the heterogeneous fluid (or liquid) in nature, this motivated us to study, here, a prototype example. The model equation that describes the interaction of two-layer liquid was constructed by (3+1)-dimensional Yu-Toda-Sasa-Fukuyama (3D-YTSFE), which is an integro-differential equation. A generalized 3D-YTSFE with constant or time-dependent coefficients was intensively studied the literature. Here, we are concerned with the study of the dynamics of two-layer heteroogeneous liquid with space and time-dependent coefficients. That is, model equation constructed here is inhomogeneous-non-autonomous generalized 3D-YTSFE. The problem considered, in the present work, is completely novel and was not studied previously. This may be argued to the fact that it cannot be amenable by the known methods in the literature. On the other hand, the derivations are not straightforward. We solve the equations obtained, which contain arbitrary functions and their space and time derivatives. So, compatibility equations are needed, that will be illustrated, here, in detail. Exact solutions of the proposed model equation are found via the extended unified method. A variety of similarity solutions are found in polynomial and rational forms in an auxiliary function. They are evaluated numerically and are represented in graphs. It is shown that they reveal abundant novel waves geometric structures. They are classified as cylindrical soliton, molar soliton, soliton with support and double branches, dromian structure, lattice wave with tunneling, capillary wave, and chaotic solutions.
Faking photon number on a transition-edge sensor
Authors: Chaiwongkhot Poompong , Zhong Jiaqiang , Huang Anqi , Qin Hao , Shi Sheng-cai , Makarov Vadim
Published: September 2022

We study potential security vulnerabilities of a single-photon detector based on superconducting transition-edge sensor. In one experiment, we show that an adversary could fake a photon number result at a certain wavelength by sending a larger number of photons at a longer wavelength, which is an expected and known behaviour. In another experiment, we unexpectedly find that the detector can be blinded by bright continuous-wave light and then, a controlled response simulating single-photon detection can be produced by applying a bright light pulse. We model an intercept-and-resend attack on a quantum key distribution system that exploits the latter vulnerability and, under certain assumptions, able to steal the key.
STABILITY ANALYSIS AND OPTIMAL CONTROL OF A LYME DISEASE MODEL WITH INSECTICIDES SPRAYING AND VACCINATION
Authors: SUN BEI , OKOSUN KAZEEM OARE , ZHANG XUE
Published: September 2022

This paper studies an SIS-type Lyme transmission model incorporating insecticides spraying and vaccination as interventions. We obtain the positivity and boundedness of solutions, calculate the basic reproduction number, and discuss the global stability of disease-free and endemic equilibria when the basic reproduction number [Formula: see text] and [Formula: see text], respectively. We apply Pontryagin’s maximum principle to explore an optimal control strategy to minimize the number of infected ticks and hosts and the cost of using insecticides and vaccination. We design numerical simulations to illustrate the effectiveness of theoretical analysis.
DYNAMICS OF AN SIRS EPIDEMIC MODEL WITH PERIODIC INFECTION RATE ON A SCALE-FREE NETWORK
Authors: SUN HONGQUAN , LI HONG , ZHU ZHANGSHENG
Published: September 2022

Influenced by seasonal changes, the infection rate of many infectious diseases fluctuates in cycles. In this paper, we propose and investigate an SIRS model on a scale-free network. To model seasonality, we assume that the infection rate is periodic. The existence and positivity of solutions of the proposed model are proved and the basic reproduction number [Formula: see text] is defined. The global stability of steady states is determined by rigorous mathematical analysis. When [Formula: see text], the disease-free equilibrium [Formula: see text] is globally asymptotically stable. When [Formula: see text], the system has a unique positive periodic solution [Formula: see text], and [Formula: see text] is globally asymptotically stable. Numerical simulations are performed to support our theoretic results, and the effects of various parameters on the amplitude and mean of infected individuals are studied. The sensitivity of parameters of the basic reproduction number [Formula: see text] is solved by the Sobol global sensitivity analysis method, and the results show that the effects of the parameters [Formula: see text] and [Formula: see text] on [Formula: see text] are remarkable.
Comparing the Efficiency and Similarity Between WTI, Fiat Currencies and Foreign Exchange Rates
Authors: Fernandes Leonardo H. S. , Silva José W. L. , Quintino Derick D. , Santos André L. P. , Ferreira Tiago A. E. , de Araujo Fernando H. A.
Published: September 2022

The complex dynamics of financial asset prices play a pivotal role in the global economy and consequently in the life of the people. Thus, this research encompasses a systematic analysis of the price dynamics of the financial assets considering simultaneously four critical attributes of the financial market (disorder, predictability, efficiency and similarity/dissimilarity). We explore these essential attributes of the financial market using the permutation entropy ([Formula: see text]) and Fisher Information measure ([Formula: see text]), and cluster analysis. Primary, we use the values of the information theory quantifiers to construct the Shannon–Fisher causality plane (SFCP) allows us to quantify the disorder and assess the randomness exhibited by these financial price time series. Bearing in mind the complexity hierarchy, we apply the values of [Formula: see text] and [Formula: see text] to rank the efficiency of these financial assets. The overall results suggest that the fiat currencies of developed countries, such as the Canadian dollar (CAD), British pound (GBP), and Norwegian krone (NOK), display higher disorder, lower predictability, and higher efficiency than other financial assets such as Crude oil (WTI) and Foreign exchange rates. Also, the cluster analysis provided by the K-means and the Hierarchical cluster techniques grouped these financial assets into only three distinct groups. We conclude that an oligopolistic market structure drives the WTI. At the same time, the other financial assets are characterized by atomized markets.
An introduction to the geochemistry and geophysics of the Antarctic mantle
Authors: Martin Adam P. , van der Wal Wouter , de Boer Bas
Published: September 2022

The Antarctic mantle, bounded between the core and the Mohorovičić discontinuity, is one of the most difficult targets of study on Earth because of ice cover and rare outcrops. A multidisciplinary approach is adopted in this volume, using petrology, geochemistry, remote-sensed data and geodesy to characterize the Antarctic mantle. This characterization has application to rates of glacial isostatic adjustment, heat flow, sea-level rise and tectonics. It places the Antarctic mantle domain in a global framework on a scale not attempted before. In this chapter we review the historical development of mantle studies in Antarctica, outline current research directions, introduce the volume chapters and provide a summary and outlook.
A first-order estimation of underground hydrogen storage potential in Indian sedimentary basins
Authors: Vishal Vikram , Verma Yashvardhan , Sulekh Kunal , Singh T. N. , Dutta Arnab
Published: September 2022

Hydrogen is considered as a fuel of the future, primarily owing to its advantage of zero carbon emissions during its combustion and electricity generation. India's geographical location in the tropics and the country's government policies, which favour hydrogen, render it a potential pioneer as a hydrogen economy. Therefore, identifying suitable storage mechanisms for hydrogen in the country is crucial. In this study, we have reviewed different methodologies to estimate the potential for underground hydrogen storage in depleted hydrocarbon fields and saline aquifers. Based on our analysis, we have then estimated a first-order storage potential for underground hydrogen storage in India after applying suitable constraints. We conclude that India can store up to 22 610 terrawatt-hours (TWh) of hydrogen in deep saline aquifers. We found that the major Indian sedimentary basins, such as the Mumbai offshore, Krishna–Godavari, Rajasthan, Cauvery and Cambay basins, have high storage capacities for hydrogen on the order of 2163, 1788.8, 1211.5, 1666.6 and 342.9 TWh, respectively. We have also presented an overview of the storage potential of salt structures that are present in India. In addition to storage pathways, we have also delineated the sources that can be used in electrolysis to generate hydrogen.
Expanded Criminal Defense Lawyering
Authors: Wright Ronald , Roberts Jenny
Published: September 2022

This review collects and critiques the academic literature on criminal defense lawyering, with an emphasis on empirical work. Research on criminal defense attorneys in the United States has traditionally emphasized scarcity of resources: too many people facing criminal charges who are “too poor to pay” for counsel and not enough funding to pay for the constitutionally mandated lawyers. Scholars have focused on the capacity of different delivery systems, such as public defender offices, to change the ultimate outcomes in criminal cases within their tight budgetary constraints. Over the decades, however, theoretical understandings of the defense attorney's work have expanded to include client interests outside the criminal courtroom, reaching the broader social conditions connected to the alleged criminal act. Researchers have responded by asking a broader range of questions about the effectiveness of defense counsel outside the courtroom and by using improved data to study the effectiveness of lawyers at discrete procedural stages.
Addressing Hate Crime in the 21st Century: Trends, Threats, and Opportunities for Intervention
Authors: Farrell Amy , Lockwood Sarah
Published: September 2022

Hate crimes, often referred to as bias-motivated crimes, have garnered greater public attention and concern as political rhetoric in the United States and internationally has promoted the exclusion of people based on their group identity. This review examines what we know about the trends in hate crime behavior and the legal responses to this problem across four main domains. First, we describe the legal framework and recent attempts to expand hate crime protections beyond historically disenfranchised groups. Second, we examine recent trends and patterns of hate crime victimization. Third, we review what is known about those who perpetrate hate crimes and those who experience hate crime victimization. Finally, we examine the efficacy of efforts to respond to and prevent hate crime. This review examines a wide range of bias-motivated harms and suggests how future research and policy can be more inclusive of victimization extending beyond traditionally understood hate crimes.
CO Effect on the Dynamics of Platinum Nucleation/Growth Under the Liquid-Phase Synthesis of Pt/C Electrocatalysts
Authors: Danilenko M. V. , Guterman V. E. , Paperzh K. O. , Alekseenko A. A. , Pankov I. V.
Published: September 2022

This paper shows how bubbling the reaction medium with CO affects the nucleation/growth of Pt nanoparticles under the synthesis using formic acid or formaldehyde as reducing agents. CO has been found to affect not only the dynamics of the Pt(IV) to

Pt

x

0

transformation but also the size of the formed particles (1.1–3.9 nm) deposited on the carbon support (ca. 20 wt% Pt). The dual role of CO due to combining the functions of a stabilizer and a reducing agent has been shown. The study demonstrates that the introduction of the dispersed carbon support to the reaction medium leads to the enhancement of the CO positive effect on the microstructure of Pt/C catalysts. In this case, the spatial distribution of Pt nanoparticles over the carbon support surface becomes more uniform that is conducive to increasing the electrochemical surface area. Thus, CO is a unique reagent used to control the microstructure of Pt nanoparticles during their wet synthesis.
Towards Tax Evasion Detection Using Improved Particle Swarm Optimization Algorithm
Authors: Mojahedi Houri , Babazadeh Sangar Amin , Masdari Mohammad
Published: September 2022

This paper employs machine learning algorithms to detect tax evasion and analyzes tax data. With the development of commercial businesses, traditional algorithms are not appropriate for solving the tax evasion detection problem. Hence, other algorithms with acceptable speed, precision, analysis, and data decisions must be used. In the case of assets and tax assessment, the integration of machine learning models with meta-heuristic algorithms increases accuracy due to optimal parameters. In this paper, intelligent machine learning algorithms are used to solve tax evasion detection. This research uses an improved particle swarm optimization (IPSO) algorithm to improve the multilayer perceptron neural network by finding the optimal weight and improving support vector machine (SVM) classifiers with optimal parameters. The IPSO-MLP and IPSO-SVM models using the IPSO algorithm are used as new models for tax evasion detection. Our proposed system applies the dataset collected from the general administration of tax affairs of West Azerbaijan province of Iran with 1500 samples for the tax evasion detection problem. The evaluations show that the IPSO-MLP model has a higher accuracy rate than the IPSO-SVM model and logistic regression. Moreover, the IPSO-MLP model has higher accuracy than SVM, Naive Bayes, k-nearest neighbor, C5.0 decision tree, and AdaBoost. The accuracy of IPSO-MLP and IPSO-SVM models is 93.68% and 92.24%, respectively.
CSO-DRL: A Collaborative Service Offloading Approach with Deep Reinforcement Learning in Vehicular Edge Computing
Authors: Huang Yuze , Cao Yuhui , Zhang Miao , Feng Beipeng , Guo Zhenzhen
Published: September 2022

In vehicular edge computing, vehicles move along the road and request the services from the nearest edge servers with low latency. Due to the limitation of computation capacity of vehicular devices, the services should be offloaded on RSUs equipped with edge servers to provide service with low latency. Noticed that the location of service offloading may affect the service requesting delay directly, and it may exist some interrelationship between interacting services﻿; all of these are rarely considered in recent studies. To address such problems, we propose a collaborative service offloading approach with deep reinforcement learning in vehicular edge computing named CSO-DRL. Our approach first divides the road segments by k-means-based algorithm through analyzing the trajectory data of vehicles, and then the offloading location is determined by observing the vehicle running status. Secondly, the interacting services are discovered by a parallel frequent pattern-based algorithm efficiently. Furthermore, the collaborative service offloading algorithm is presented by the DDPG model for offloading the interacting services, which can minimize the service requesting delay and data communication delay between interacting services. Finally, the efficiency of the algorithm is evaluated by real-world data-based simulation experimental evaluations. The results show our algorithm can obtain a lower delay than other baseline algorithms in searching for the optimal service offloading strategy.
Monitoring Research of Network Security Information System Based on Rough Set Data Mining
Authors: Chen Minfeng
Published: September 2022

In recent years, with the explosive development of Internet technology, network security has gradually become a hot issue. At present, data mining technology has been widely used in processing network information. Rough set theory is a natural data mining or knowledge discovery method because the purpose and starting point of the research is to directly analyze and reason the data, discover the implicit knowledge and reveal the potential laws. Rough set data mining has unique advantages in processing information, so it is necessary to carry out research on monitoring network security information system based on rough set data mining. The purpose of this article is to solve how to implement network security problems of information system of monitoring, through research the related contents of rough set data mining technology, based on the two kinds of data pre-processing algorithm, data mining based on rough sets is discussed in detail the two kinds of data pre-processing algorithm in network security information system monitoring, especially the feasibility of the invasive monitoring. The results show that the two data pre-processing algorithms based on rough set data mining can effectively realize the monitoring function of common network security information system and improve the security of network security information system to some extent. The simulation results show that the monitoring accuracy of these two data pre-processing algorithms in the common network security information system is as high as 98.5%, which is about 12% higher than the accuracy of the general system.
Endoscopic Surgical Treatment of Osteoarthritis and Prognostic Model Construction
Authors: Su Qi , Xu Guokang
Published: September 2022

Purpose. Osteoarthritis (OA) is a degenerative disease of joints. Currently, there is still a lack of effective tools to predict the long-term efficacy of surgical treatment of OA. The purpose of this study was to explore the prognostic factors of endoscopic surgery for OA and to predict the long-term efficacy of this type of surgery for OA by establishing a prognostic model. Methods. Baseline and follow-up data on 236 OA patients who underwent surgery in our hospital from January 2017 to December 2021 were selected and patients were randomly assigned to a training set (

n

 = 165) and a test set (

n

 = 71). The Pearson correlation coefficient was used to analyze the correlation between features. Feature selection was performed by recursive feature elimination (RFE) and linear regression.

K

-means clustering analysis was performed on the selected features to obtain the number of output layers. Finally, a single hidden layer error backpropagation (BP)-artificial neural network (ANN) model was established on the training set, and receiver operating characteristic (ROC) curve was drawn on the test set for verification. Results. Correlation analysis revealed no redundancy among features. RFE and linear regression screened out the features associated with postoperative prognosis under endoscopic surgery: sex, age, BMI, region, morning stiffness time, step count, and osteophyte area.

K

-means clustering yielded that the optimal number of categories was three, the same as the number of categories for the outcome variable. Therefore, a 7-1-3 BP neural network model was established based on these 7 features, and this model could predict the postoperative situation within one year to a relatively accurate extent: area under curve values (AUC) were 0.814, 0.700, and 0.761 in patients with worse, unchanged, and improved conditions one year after surgery, respectively, higher than the multiclass AUC value (0.646). Conclusion. The prognostic model of endoscopic surgery for OA constructed in this study can well predict the disease progression of patients within one year after surgery.
An Approximation Theorem and Generic Convergence of Solutions of Inverse Quasivariational Inequality Problems
Authors: Liu Ting , Jia Wensheng
Published: September 2022

In this paper, we mainly obtain an approximation theorem and generic convergence of solutions for inverse quasivariational inequality problems. First, we define the concept of the approximate solution to inverse quasivariational inequality problems under bounded rationality theory. Afterward, an approximation theorem that satisfies fairly mild assumptions is proved. Moreover, we establish a function space and discuss the convergence properties of solutions for inverse quasivariational inequality problems by the method of set-valued analysis. Finally, we prove that most of inverse quasivariational inequality problems are stable in the case of perturbation of the objective function. These results are new, which improve the corresponding outcomes of the recent literatures.
Study on Sedimentary Facies of the Lower Eocene Basal Deposits in the Southeastern Part of the Jiyang Depression, Bohai Bay Basin, China
Authors: Yang Ya
Published: September 2022

Based on the analysis of cores, logging, and seismic data, this paper identifies the sedimentary facies of the basal deposits from the lower Eocene in the southeastern part of the Jiyang Depression and studies its depositional law. On this basis, a sedimentary model of the basal deposits is established. The basal sediments of the lower Eocene in the Jiyang Depression are mainly red, brown, gray, and variegated clastic rocks, which are mainly divided into Kongdian and lower Shahejie-4 Formation. It is considered that the climate during the depositional period was relatively arid, and the depositional process was greatly affected by floods. Three types of sedimentary facies were identified in the study area: proluvial fan, fan delta, and beach-bar deposition. Proluvial fans are mainly developed at the exit of the paleo gullies in the south area, and fan deltas are mainly distributed in the large gentle slope belt in the northwest, while beach bars are isolated and scattered along the lake shoreline in shallow lakes. The fan-delta and beach-bar clastic rocks are well sorted, with high compositional and textural maturity and can be used as good oil and gas reservoirs. The basal deposits in the southeast of Jiyang Depression are mainly flood-controlled sedimentary models. During the flood period, a large amount of detrital material brought by the flood was deposited in the gentle slope zone, forming the deposition of proluvial fan and fan delta, and the sand bodies at the front of the fan delta formed beach-bar deposits on its front under the transformation of waves and coastal currents. However, during the inter-flood period, only small-scale proluvial fan deposits are formed, fan delta and beach-bar sand bodies are rare.
Interstitial Mycosis Fungoides: An Unusual Mimic of Interstitial Granuloma Annulare Not to Miss
Authors: Singh Neha , Fagan Kiley K. , Grider Douglas J.
Published: September 2022

Interstitial mycosis fungoides is a rare histopathologic variant of mycosis fungoides that may resemble interstitial granuloma annulare, inflammatory morphea, and interstitial granulomatous dermatitis. Reported is a case of a 62-year-old African American female who presented with an asymptomatic, progressive rash of the left underarm and abdomen with histologic features suggestive of granuloma annulare. Biopsies revealed an interstitial pattern of cells in the dermis with prominent small aggregates of atypical lymphocytes, a few atypical lymphocytes in the lower epidermis, and a mild increase in dermal mucin. Immunohistochemistry staining revealed the atypical lymphocytes to be positive for CD3 and CD8 and negative for CD4 and CD7, an aberrant immunoprofile. Mixed in the dermis with the atypical lymphoid cells were a few CD68 positive histiocytes and S100 protein positive dermal dendritic cells. T-cell receptor beta gene rearrangement studies showed nearly the same clonal peaks for TCRB rearrangement in two biopsy specimens from separate sites, all supporting a diagnosis of interstitial mycosis fungoides. The patient is undergoing treatment with full body narrowband UVB (nbUVB) phototherapy with notable improvement in skin discoloration and resolution of several abdominal lesions. A diagnosis of interstitial mycosis fungoides is challenging to make based on clinical features alone and is often clinically misdiagnosed. Awareness of histopathologic features is critical to make an accurate diagnosis and thus patient management.
Comprehensive Objective Optimization Analysis of Construction Projects under Multiobjective Particle Swarm Optimization
Authors: Xiang Yong , Ma Yunhui , Wei Yao
Published: September 2022

Due to the future development of the construction industry towards the sustainable development direction of green, ecology, and safety in the future, the ultimate goal requirement of engineering projects will be higher, and the investment traditional objectives, time limit, and quality cannot meet the requirements of comprehensive management objectives. Therefore, safety and environmental management were added in this paper based on traditional management objectives from the perspective of the project owners, the relationship between objectives was analyzed, and an equilibrium optimization model of objectives was constructed. A series of Pareto optimal solutions were obtained by using multiobjective particle swarm optimization (MOPSO). Then, the best scheme was selected from the series solutions by using the efficiency coefficient method according to the specific requirements of project management. Finally, taking the objective comprehensive optimization management of a wind power project in Sichuan province as an example, 1000 paths are run by using a multitarget particle swarm algorithm, and the mean and standard deviation of the 1000 paths are calculated. The rationality of the model and the practicability of the multiobjective particle swarm optimization algorithm in the study of engineering project comprehensive optimization management were verified. It has realized the multiobjective optimization management of engineering projects and contributed to improving the quality of engineering management.
Design and Implementation of Coal Mine Safety Monitoring System Based on GIS
Authors: Zhang Junwen
Published: September 2022

In order to further improve the safety production management capacity of coal enterprises and minimize the rate of coal mine safety accidents, based on the purpose of improving safety production efficiency, this paper constructs a coal mine safety detection system based on GIS technology. At the same time, on the basis of fixed-point positioning and remote monitoring at the PC end, this paper implements the whole process detection and monitoring of coal mine safety production with the help of mobile terminal intelligent system. The system software uses Java language to code it. In the first round of test, one function omission, three serious system errors, 14 general errors, and 21 minor errors are found. The accident passing rate of the second test is greater than 99.88%, and all performance indexes of the system meet the performance requirements, which proves the feasibility of the system.
Analysis of Flexural Buckling Capacity of Stainless Steel Columns under Axial Compression
Authors: Liang Yong , Shu Gapi , Li Shaohua
Published: September 2022

In order to provide a basis for the compilation of the bending buckling stability part of axially compressed columns in the technical code for stainless steel structures, the design methods and experimental research data of similar components are collected and compared. The results showed that there are some deficiencies in the current European code for the design of stainless steel structures and the American code for the design of cold‐formed stainless steel structures. According to the collected test data of square tube, rectangular tube, circular tube, elliptical tube, welded H‐shaped steel, and cold‐formed C‐shaped steel for 199 section columns and according to the influence of cold‐formed effect and residual stress on the stability of axial compression members, the members are divided into three categories: A, B, and C according to the section form, in which the columns with cold‐formed square, rectangular hollow section, and lipped C‐section were included in A, columns with circular and oval hollow section were sorted into B, columns with welded H‐section were separated into C, and the three categories of axial compression stability curves are expressed in the form of Perry formula. The comparison with the test data shows that the three kinds of curves can well estimate the stability bearing capacity of members, and the discreteness is small. The reliability of the proposed formula is analyzed, and the results show that its reliability index β meets the requirements of the GB 50068 standard.
New Fractional Estimates of Simpson-Mercer Type for Twice Differentiable Mappings Pertaining to Mittag-Leffler Kernel
Authors: Butt Saad Ihsan , Rashid Saima , Javed Iram , Khan Khuram Ali , Mabela Rostin Matendo
Published: September 2022

The main motivation of this study is to introduce a novel auxiliary result of Simpson’s formula by employing the Mercer scheme for twice differentiable functions involving the Atangana-Baleanu (AB) fractional integral operator concerned with the Mittag-Leffler as a nonsingular or nonlocal kernel. Thus, by employing Mercer’s convexity on twice differentiable mappings along with Hölder’s and power-mean inequalities, one can develop a variety of new Simpson’s error estimates. Lastly, some applications to

q

-digamma function and modified Bessel functions are presented. Furthermore, the graphical illustrations described the efficiency and applicability of the proposed technique with success. We make links between our findings and a number of well-known discoveries in the literature. It is hoped that the proposed methodology will provide a new venue in the numerical techniques for calculating the quadrature formulae.
Thermal Conductivity and Mechanical Characterization of Bamboo Fiber and Rice Husk/MWCNT Filler Epoxy Hybrid Composite
Authors: Ramu S. , Senthilkumar N. , Rajendran Saravanan , Deepanraj B. , Paramasivam Prabhu
Published: September 2022

Recent trends utilizing recycled materials from around the world aim to improve a wide range of industrial and domestic applications. The natural fiber/filler matrix is used to evaluate the mechanical qualities of the hybrid nanocomposites. The specific concentration is dealing with a bidirectional bamboo fiber mat/rice husk particle/MWCNT blend with epoxy composite. The experimental work plan to execute with the three different proportional composites was as follows: bamboo fiber mat constant loading for all the specimens, but the filler particle ratio will be varied, prominently rice husk particle concentrated for all the three specimens: 5%, 10%, and 15%, and additionally, MWCNT drawn two specific specimens (2 and 3): 0.5% and 1% based on the fiber/filler concentration balanced the epoxy resin. The research presented here is hybrid nanocomposite experimented with thermal, mechanical, and morphological characterization. Thermal conductivity measured by Lee’s disc method is observed at 0.2577 W/mK for specimen 3. The tensile and flexural properties are higher for 0.5% MWCNT concentration (specimen 2): 42.66 MPa and 54.72 MPa, respectively. The maximum impact strength is reached at 1% MWCNT concentration (specimen 3). Bamboo fiber and rice husk filler matrix composite (specimen 1) reached extremities shore‐D hardness 84. Scanning electron microscopy was performed to examine the morphological characteristics of the tensile fractography specimen and analyzed the dispersion of the fiber/filler matrix adhesion of the surface. The bamboo fiber mat/rice husk/MWCNT (specimen 3) filler had better binding and observed fewer fiber pull‐out, fiber fracture, fiber extension, and voids. In the graphic comparison, 0.5% MWCNT achieved more mechanical properties than the other two combinations.
Onp-Laplace Equations with Singular Nonlinearities and Critical Sobolev Exponent
Authors: El Mokhtar Mohammed El Mokhtar ould
Published: September 2022

In this paper, we deal withp-Laplace equations with singular nonlinearities and critical Sobolev exponent. By using the Nehari manifold, Mountain Pass theorem, and Maximum principle theorem, we prove the existence of at least four distinct nontrivial solutions.
Survey on Mental Health Status and Quality of Life and Correlation among Patients with Permanent Stoma of Colorectal Tumor
Authors: Zou Yanlei , Yang Qiu , Guan Bi , Fu Xiaoyu , Wang Jia , Li Yan
Published: September 2022

Background. Colorectal cancer is one of the malignant tumors of the digestive system relatively hidden onset with unobvious early clinical symptoms. Most patients have developed into middle and late stages when they were diagnosed, missing the best period of operation. Advanced colorectal cancer has strong diffusion and metastasis with short survival time, which seriously threatens the life safety of patients. Objective. To investigate the mental health status and quality of life and the relationship between them in patients with permanent stoma of colorectal cancer. Methods. In this study, a case-control study was conducted to select 80 patients (stoma group) with colorectal cancer treated by permanent stoma surgery in our hospital from January 2020 to June 2021 and 80 patients (control group) with colorectal cancer treated by sphincter-preserving surgery at the same time. The psychological health degree and quality of life of the two groups of patients were evaluated by the psychological resilience scale (CD-RISC), the positive psychological capital questionnaire (PPQ), and the cancer patient quality of life-specific scale (QOL-LC), and a linear correlation model was used to analyze the correlation of CD-RISC score, PPQ score, and QOL-LC score. Results. The total scores of tenacity, optimism, self-improvement, and resilience of the patients in the stoma group were significantly lower than those in the control one, and the difference between them was statistically significant (

P
<
0.05

); the four dimensions of self-efficacy, optimism, hope, and resilience and the total score of PPQ of patients in the stoma group were significantly lower than those in the control group, and all of the differences were statistically significant (

P
<
0.05

); the somatic function, psychological function, symptoms of side effects, social function, and the total QOL-LC score of patients in the stoma one were significantly lower than those in the control one, and all of the differences were statistically significant (

P
<
0.05

); the total QOL-LC score of patients in the stoma group showed a significant positive correlation with PPQ score and CD-RISC score (

r
=
0.511

and

r
=
0.608

,

P
<
0.01

). Conclusion. The overall level of mental health and life quality of patients with permanent stoma of colorectal cancer was worse than that of patients without stoma measures, and there was a certain correlation between patients’ mental health and quality of life.
Research Report on the Application of MEMS Sensors Based on Copper Oxide Nanofibers in the Braking of Autonomous Vehicles
Authors: Guo Kuiyuan , Zhou Xiaoqin
Published: September 2022

Herein, we report a novel nanofiber as a humidity sensor applied to autonomous vehicles. We prepared copper oxide nanofibers by electrospinning, characterized the obtained materials by XRD, SEM, and TEM, and fabricated MEMS sensors based on copper oxide nanofibers. The humidity sensitivity performance of the sensor was tested in different humidity environments. We found that the MEMS humidity sensor based on copper oxide nanofibers can detect the change of humidity in the environment over a large humidity range. Its fast response/mixing speed (1 s), good stability, and sensitivity make it to fully adapt to the high speed of the car.
Encoding Test Pattern of System-on-Chip (SOC) Using Annular Scan Chain
Authors: Huang Guilin , Zhang Zhengjin , Wang Honghai , Jiang Jiabao , Wu Qilin
Published: September 2022

With the improvement of System-on-Chip integration, the chip requires an increasingly large amount of test data. To solve the contradiction between the storage capacity and bandwidth of automatic test equipment (ATE), a new method of test data compression/decompression is proposed based on an annular scan chain. Corresponding fault bits of different test patterns are incompatible, moving test patterns in an annular scan chain, makes all of the new corresponding bits of different test patterns be compatible or backward-compatible, so different adjacent test patterns form a new relation that are indirectly compatible or indirectly backward-compatible, achieves the purpose of test data compression by encoding these indirectly compatible test patterns or indirectly backward-compatible test patterns. According to experimental results, the average compression ratio increases by %6.94 to % 15.1 compared with the other schemes, relative decompression architecture is simple. In the annular scan chain, the test pattern moves clockwise with the minimal bits, generating subsequent test patterns quickly, it is advantageous to reduce the test application time of a single IP core.
Estimation of Hydraulic Diffusivity of a Confined Limestone Aquifer at the Xiluodu Dam
Authors: Li Mingwei , Zhou Zhifang , Huang Hailong , Liao Jianxin
Published: September 2022

Hydraulic diffusivity is a fundamental parameter in studying groundwater flow. An analytical solution for groundwater flow within a finite-length one-dimensional aquifer has been introduced. This analytical solution simplifies the river water level (RWL) by a piecewise linear function, accurately describing the arbitrary variation pattern. An inversion method for hydraulic diffusivity has been provided based on the analytical solution. Then, the method was employed to estimate the hydraulic diffusivity of a limestone aquifer in the Xiluodu reservoir and was verified by the FEFLOW software. The parameter sensitivity increases with the RWL fast increasing and reaches its peak value when the RWL approaches the maximum value. Given the sensitivity analysis, great attention should be paid to the stage when RWL fluctuates drastically for estimating hydraulic diffusivity. The proposed method is flexible to conditions that lack observation data or RWL fluctuating drastically.
Effect of Stocking Density and Dietary Protein Level in Biofloc System on the Growth, Digestive and Antioxidant Enzyme Activities, Health, and Resistance to Acute Crowding Stress in Juvenile Common Carp (Cyprinus carpio)
Authors: Adineh Hossein , Naderi Mahdi , Jafaryan Hojatallah , Khademi Hamidi Mohammad , Yousefi Morteza , Ahmadifar Ehsan
Published: September 2022

This study is aimed at evaluating the effects of stocking densities and dietary protein levels in the biofloc system on the performance of common carp. Fish (

12.09
±
0.99

 g) were transferred to 15 tanks: fish reared at 10 kg/m3 as medium density and fed 35% (MD35) or 25% (MD25) protein and fish reared at 20 kg/m3 as high density and fed 35% (HD35) or 25% (HD25) protein in the biofloc system and control fish reared at MD and fed 35% protein in clear water. After 60 days, fish were subjected to crowding stress (80 kg/m3) for 24 h. The growth of fish was highest in MD35. The feed conversion ratio was lower in MD35 compared to the control and HD groups. The amylase, lipase, protease, and superoxide dismutase and glutathione peroxidase activities in the biofloc groups were significantly higher than in the control. After crowding stress, cortisol and glucose levels in biofloc treatments were significantly decreased compared to the control. After 12 and 24 h stress, lysozyme activity in MD35 was significantly lower than in the HD treatments. Overall, the biofloc system with MD could improve growth and robustness against acute stress in fish. Also, biofloc could compensate 10% reduction of protein in common carp juvenile diet when reared in MD.