bluuebunny/crossref_metadata_2025 huggingface dataset:
Hyperammonaemia syndrome in disseminatedUreaplasma parvuminfection
Authors: Brell Nadiya , Overton Kristen , Micallef Milton J , Hurley Siobhan
Published: November 2022

Hyperammonaemia syndrome secondary toUreaplasmaspp. infection is well documented in the post-lung transplant population. We report a case of a man in his fifties with hyperammonaemia syndrome secondary to disseminatedUreaplasma parvuminfection. This occurred in the context of immunosuppression for chronic graft versus host disease and six years following an allogeneic stem cell transplant for diffuse large B-cell lymphoma. Following treatment ofU. parvumseptic arthritis with ciprofloxacin and doxycycline, the patient experienced a full neurological recovery, and continues on suppressive doxycycline therapy with no recurrence of symptoms to date.
Whole exome sequencing based identification of a case of cardiofaciocutaneous syndrome type 3: the benefits of new sequencing technology in children with neurodevelopmental delay
Authors: O'Reilly Daniel , Dempsey Sharon , O'Grady Michael Joseph , Yousif Taha Ibrahim
Published: November 2022

We report the case of a boy with a prolonged diagnostic workup for global developmental delay alongside feeding difficulties, failure to thrive, pulmonary stenosis and macrocephaly. Following a series of diagnostic tests over the first 25 months of life, whole-exome sequencing was performed which diagnosed cardiofaciocutaenous syndrome type 3.

Global developmental delay is a common presentation to general paediatric and community paediatric clinics. This prompts the search for an aetiology to describe the child’s constellation of symptoms which often consists of a chromosomal microarray, neuroimaging and investigations for an inborn error of metabolism. With developments in genetic testing such as the reducing cost of clinical exome sequencing or whole-exome sequencing, could these testing strategies offer a more comprehensive first line test?

This case not only demonstrates the features of cardiofaciocutaneous syndrome type 3 but the added value of modern genetic technologies in the diagnosis of children with global developmental delay.
Very early medical abortion: treatment with mifepristone and misoprostol before ultrasonographic visualisation of an intrauterine pregnancy
Authors: Tai Natalie Qian Ru , Reynolds-Wright John Joseph , Cameron Sharon
Published: November 2022

Introduction

Abortion providers may be reluctant to commence abortion before ultrasound evidence of intrauterine pregnancy (IUP) due to concerns of missed ectopic pregnancy. In 2017, very early medical abortion (VEMA) was introduced at an abortion service in Edinburgh, UK. Following ultrasound, patients without confirmed IUP, and without symptoms or risk factors for ectopic pregnancy, could commence treatment immediately after baseline serum-human chorionic gonadotrophin (hCG) measurement, and return for follow-up serum-hCG a week later to determine treatment success (≥80% decline from baseline). This study aimed to compare clinical outcomes between two pathways: (1) VEMA; and (2) standard-of-care delayed treatment where treatment is only commenced on IUP confirmation by serial serum-hCG monitoring and/or repeat ultrasound.

Methods

A retrospective database review was conducted of VEMA eligible patients from July 2017 to December 2021. Study groups were determined by patient preference. Records were searched for abortion outcomes, duration of care, number of appointments (clinic visits, ultrasounds, serum-hCG) and clinical data entries.

Results

Of 181 patients included, 77 (43%) chose VEMA and 104 (57%) chose delayed treatment. 11/181 (6.1%) were lost to follow-up. Cohort ectopic prevalence was 4.4% and was not statistically different between groups (2.6% vs 5.8%, VEMA vs delayed group, respectively, p=0.305), as with complete abortion rates (93.3% vs 97.6%, p=0.256). All VEMA group ectopics were detected on the seventh day (from initial visit) while time-to-diagnosis for delayed group ectopics ranged from 7 days to 3 weeks. VEMA patients had significantly reduced duration of care (12 vs 21 days, p<0.001), number of visits (2 vs 3, p<0.001), ultrasounds (1 vs 2, p<0.001) and data entries (6 vs 9, p<0.001).

Conclusions

VEMA is safe, effective and reduces the duration of care, number of appointments and clinical administrative time. It should be offered to medically eligible patients.
Development and evaluation of a patient decision aid for pediatric interval appendectomy
Authors: Larocca Victoria , Oltean Irina , Grandpierre Viviane , Nasr Ahmed
Published: November 2022

Objective

One option for the treatment of perforated appendicitis in pediatric patients is interval appendectomy (IA). A patient decision aid (PDA) can be useful in the decision-making process regarding IA. The purpose of this study was to evaluate parents’ decisional conflict before and after engaging with a developed PDA.

Methods

Participants included (a) parents who are considering IA surgery for their child, (b) have not yet had their follow-up appointment postdischarge, and (c) were fluent in either the official languages of English or French. This study used a pretest and post-test design to measure participants’ decisional conflict and treatment option choice. Perceptions and acceptability of the PDA were also assessed.

Results

A total of 18 participants completed the study (16 mothers). Major findings include significant decreases in all Decisional Conflict Scale items from pre-PDA to post-PDA engagement, except for one item. The majority of participants perceived the PDA to be useful, easy to find information regarding risks and provided enough information to help them make a decision regarding their child’s treatment.

Conclusions

This is the first study to develop and evaluate a PDA among parents who are making a decision regarding IA surgery. The results showed a significant decrease in decisional conflict after using the PDA. The results also showed that the PDA was generally accepted among parents and had positive perceptions regarding length, content, and balance. The use of PDA for this population can help ease feelings of decisional conflict and equip parents with the information to make informed decisions.
Paired 3-Disjoint Path Covers in Bipartite Torus-Like Graphs with Edge Faults
Authors: Park Jung-Heum
Published: November 2022

Given two disjoint vertex-sets, [Formula: see text] and [Formula: see text] in a graph, a paired many-to-many [Formula: see text]-disjoint path cover joining [Formula: see text] and [Formula: see text] is a set of pairwise vertex-disjoint paths [Formula: see text] that altogether cover every vertex of the graph, in which each path [Formula: see text] runs from [Formula: see text] to [Formula: see text]. In this paper, we reveal that a bipartite torus-like graph, if built from lower dimensional torus-like graphs that have good disjoint-path-cover properties, retain such good property. As a result, an [Formula: see text]-dimensional bipartite torus, [Formula: see text], with at most [Formula: see text] edge faults has a paired many-to-many [Formula: see text]-disjoint path cover joining arbitrary disjoint sets [Formula: see text] and [Formula: see text] of size [Formula: see text] each such that [Formula: see text] contains the equal numbers of vertices from different parts of the bipartition.
Sliding discharge plasma jet actuators for circular-cylinder wake modification
Authors: Luo Xinfu , Li Yong
Published: November 2022

A sliding discharge (SD) plasma actuator designed for the control of a circular cylinder wake is examined experimentally in this paper. This kind of discharge demonstrates a thicker and higher maximum speed wall jet than a Dielectric Barrier Discharge (DBD). The plasma actuator mounted strategically on the rear part of the cylinder model can induce either a downward or upward jet into the flow around the circular cylinder by simply adjusting the electrodes’ electrical circuits. Experiments were performed in a low-speed and low-turbulence wind tunnel at Reynolds numbers between 7000 and 24,000 based on the diameter of the circular cylinder. Wake measurements by particle image velocimetry (PIV) showed that both the mean velocity and the turbulence level in the cylinder wake were modified under the plasma actuation. Reducing or increasing the cylinder drag force estimated from the velocity field could be realized by changing plasma actuation directions. They showed that up to 30% drag reduction and 24% drag increase were obtained with the downstream and upstream actuation respectively at the continuous plasma blowing. The efficiency of flow control was found to be about 1.8% for drag reduction. This study suggests that an appropriate arrangement of an SD actuator can practically suppress flow separation or enhance flow mixing.
Non-mean-field Vicsek-type models for collective behavior
Authors: Buttà Paolo , Goddard Ben , Hodgson Thomas M. , Ottobre Michela , Painter Kevin J.
Published: November 2022

We consider interacting particle dynamics with Vicsek-type interactions, and their macroscopic Partial Differential Equation (PDE) limit, in the non-mean-field regime; that is, we consider the case in which each particle/agent in the system interacts only with a prescribed subset of the particles in the system (for example, those within a certain distance). In this non-mean-field regime the influence between agents (i.e. the interaction term) can be normalized either by the total number of agents in the system (global scaling) or by the number of agents with which the particle is effectively interacting (local scaling). We compare the behavior of the globally scaled and the locally scaled systems in many respects, considering for each scaling both the PDE and the corresponding particle model. In particular, we observe that both the locally and globally scaled particle system exhibit pattern formation (i.e. formation of traveling-wave-like solutions) within certain parameter regimes, and generally display similar dynamics. The same is not true of the corresponding PDE models. Indeed, while both PDE models have multiple stationary states, for the globally scaled PDE such (space-homogeneous) equilibria are unstable for certain parameter regimes, with the instability leading to traveling wave solutions, while they are always stable for the locally scaled one, which never produces traveling waves. This observation is based on a careful numerical study of the model, supported by further analysis.
Tangential Navier–Stokes equations on evolving surfaces: Analysis and simulations
Authors: Olshanskii Maxim A. , Reusken Arnold , Zhiliakov Alexander
Published: November 2022

The paper considers a system of equations that models a lateral flow of a Boussinesq–Scriven fluid on a passively evolving surface embedded in [Formula: see text]. For the resulting Navier–Stokes type system, posed on a smooth closed time-dependent surface, we introduce a weak formulation in terms of functional spaces on a space-time manifold defined by the surface evolution. The weak formulation is shown to be well-posed for any finite final time and without smallness conditions on data. We further extend an unfitted finite element method, known as TraceFEM, to compute solutions to the fluid system. Convergence of the method is demonstrated numerically. In another series of experiments we visualize lateral flows induced by smooth deformations of a material surface.
More definable combinatorics around the first and second uncountable cardinals
Authors: Chan William , Jackson Stephen , Trang Nam
Published: November 2022

Assume [Formula: see text]. If [Formula: see text] is an ordinal and X is a set of ordinals, then [Formula: see text] is the collection of order-preserving functions [Formula: see text] which have uniform cofinality [Formula: see text] and discontinuous everywhere. The weak partition properties on [Formula: see text] and [Formula: see text] yield partition measures on [Formula: see text] when [Formula: see text] and [Formula: see text] when [Formula: see text]. The following almost everywhere continuity properties for functions on partition spaces with respect to these partition measures will be shown. For every [Formula: see text] and function [Formula: see text], there is a club [Formula: see text] and a [Formula: see text] so that for all [Formula: see text], if [Formula: see text] and [Formula: see text], then [Formula: see text]. For every [Formula: see text] and function [Formula: see text], there is an [Formula: see text]-club [Formula: see text] and a [Formula: see text] so that for all [Formula: see text], if [Formula: see text] and [Formula: see text], then [Formula: see text]. The previous two continuity results will be used to distinguish the cardinalities of some important subsets of [Formula: see text]. [Formula: see text]. [Formula: see text]. [Formula: see text]. It will also be shown that [Formula: see text] has the Jónsson property: For every [Formula: see text], there is an [Formula: see text] with [Formula: see text] so that [Formula: see text].
The degree of nonminimality is at most 2
Authors: Freitag James , Jaoui Rémi , Moosa Rahim
Published: November 2022

In this paper, it is shown that if [Formula: see text] is a complete type of Lascar rank at least 2, in the theory of differentially closed fields of characteristic zero, then there exists a pair of realisations [Formula: see text], [Formula: see text] such that p has a nonalgebraic forking extension over [Formula: see text]. Moreover, if A is contained in the field of constants then p already has a nonalgebraic forking extension over [Formula: see text]. The results are also formulated in a more general setting.
Modified Model of Multiplication Cascade Image-Based 2D MF-DFA with Sign Retention
Authors: Zhang Yudong , Yang Mengdie , Wang Jian
Published: November 2022

In this paper, we propose a two-dimensional multifractal sign retention detrending fluctuation analysis algorithm (2D MF-S-DFA), which takes the sign of the residual matrix into account when calculating the detrending fluctuation function in traditional 2D MF-DFA. We evaluate these two methods based on images constructed from [Formula: see text]-model multiplicative cascades. The results indicate that the numerical solution of the images extracted by 2D MF-S-DFA is closer to the theoretical solution of the multiplicative cascade images. In addition, we also compare the performance of the two methods after transforming the important parameters of the multiplicative cascade images. The results show that the relative errors and overall distance between the generalized Hurst exponent [Formula: see text] and the scale exponent [Formula: see text] extracted by 2D MF-S-DFA and the image feature values are smaller than those of 2D MF-DFA. We can conclude that the sign retention algorithm outperforms the traditional 2D MF-DFA.
Current Injection and Voltage Insertion Attacks Against the VMG-KLJN Secure Key Exchanger
Authors: Ferdous Shahriar , Chamon Christiana , Kish Laszlo B.
Published: November 2022

In this paper, the vulnerability of the Vadai, Mingesz and Gingl (VMG)- Kirchhoff-Law–Johnson-Noise (KLJN) Key Exchanger (Nature, Science Report 5 (2015) 13653) against two active attacks is demonstrated. The security vulnerability arises from the fact that the effective driving impedances are different between the HL and LH cases for the VMG-KLJN scheme; whereas for the ideal KLJN scheme, they are the same. Two defense schemes are shown against these attacks but each of them can protect against only one of the attack types; but not against the two attacks simultaneously. The theoretical results are confirmed by computer simulations.
Stochastic rotating waves
Authors: Kuehn Christian , MacLaurin James , Zucal Giulio
Published: November 2022

Stochastic dynamics has emerged as one of the key themes ranging from models in applications to theoretical foundations in mathematics. One class of stochastic dynamics problems that has recently received considerable attention are traveling wave patterns occurring in stochastic partial differential equations (SPDEs). Here, one is interested in how deterministic traveling waves behave under stochastic perturbations. In this paper, we start the mathematical study of a related class of problems: stochastic rotating waves generated by SPDEs. We combine deterministic partial differential equation (PDE) dynamics techniques with methods from stochastic analysis. We establish two different approaches, the variational phase and the approximated variational phase, for defining stochastic phase variables along the rotating wave, which track the effect of noise on neutral spectral modes associated to the special Euclidean symmetry group of rotating waves. Furthermore, we prove transverse stability results for rotating waves showing that over certain time scales and for small noise, the stochastic rotating wave stays close to its deterministic counterpart.
Instigating the Sailfish Optimization Algorithm Based on Opposition-Based Learning to Determine the Salient Features From a High-Dimensional Dataset
Authors: Khaire Utkarsh Mahadeo , Dhanalakshmi R. , Balakrishnan K. , Akila M.
Published: November 2022

The aim of this research critique is to propose a hybrid combination of Opposition-Based Learning and Sailfish Optimization strategy to recognize the salient features from a high-dimensional dataset. The Sailfish Optimization is a swarm-based metaheuristics optimization algorithm inspired by the foraging strategy of a group of Sailfish. Sailfish Optimization explores the search space in only one direction, limiting its converging capacity and causing local minima stagnation. Convergence will be optimal if the search space is reconnoitred in both directions, improving classification accuracy. As a result, combining the Opposition-Based Learning and Sailfish Optimization strategies improves SFO’s exploration capability by patrolling the search space in all directions. Sailfish Optimization Algorithm based on Opposition-Based Learning successfully amalgamates the model to global optima at a faster convergence rate and better classification accuracy. The recommended method is tested with six different cancer microarray datasets for two different classifiers: the Support Vector Machine classifier and the K-Nearest Neighbor classifier. From the results obtained, the proposed model aided with Support Vector Machine outperforms the existing Sailfish Optimization with or without K-Nearest Neighbor in terms of convergence capability, classification accuracy, and selection of the most delicate salient features from the dataset.
New perspective to the fractal Konopelchenko–Dubrovsky equations with M-truncated fractional derivative
Authors: Wang Kangle
Published: November 2022

In this work, for the first ever, the fractal Konopelchenko–Dubrovsky equations is defined by using a new fractional derivative called [Formula: see text]-truncated fractional derivative. The main goal of this work is to seek new type of fractal solitary wave solutions for the fractal Konopelchenko–Dubrovsky equations by a novel mathematical scheme, which is called variational sech-function method. The forms of these new fractal solitary wave solutions are different from those in the existing literature. Ultimately, the fractal dynamic behavior of these derived fractal solitary wave solutions is illustrated via a number of 3D and 2D simulation graphs with different parameters and fractal dimensions. The proposed new method can be employed to other nonlinear wave equations in mathematical physics with the same fractional derivative.
SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols
Authors: Xu Jiahua , Paruch Krzysztof , Cousaert Simon , Feng Yebo
Published: November 2022

As an integral part of the decentralized finance (DeFi) ecosystem, decentralized exchanges (DEXs) with automated market maker (AMM) protocols have gained massive traction with the recently revived interest in blockchain and distributed ledger technology (DLT) in general. Instead of matching the buy and sell sides, automated market makers (AMMs) employ a peer-to-pool method and determine asset price algorithmically through a so-called conservation function. To facilitate the improvement and development of AMM-based decentralized exchanges (DEXs), we create the first systematization of knowledge in this area. We first establish a general AMM framework describing the economics and formalizing the system’s state-space representation. We then employ our framework to systematically compare the top AMM protocols’ mechanics, illustrating their conservation functions, as well as slippage and divergence loss functions. We further discuss security and privacy concerns, how they are enabled by AMM-based DEXs’ inherent properties, and explore mitigating solutions. Finally, we conduct a comprehensive literature review on related work covering both DeFi and conventional market microstructure.
GANDSE: Generative Adversarial Network-based Design Space Exploration for Neural Network Accelerator Design
Authors: Feng Lang , Liu Wenjian , Guo Chuliang , Tang Ke , Zhuo Cheng , Wang Zhongfeng
Published: November 2022

With the popularity of deep learning, the hardware implementation platform of deep learning has received increasing interest. Unlike the general purpose devices, e.g., CPU or GPU, where the deep learning algorithms are executed at the software level, neural network hardware accelerators directly execute the algorithms to achieve higher energy efficiency and performance improvements. However, as the deep learning algorithms evolve frequently, the engineering effort and cost of designing the hardware accelerators are greatly increased. To improve the design quality while saving the cost, design automation for neural network accelerators was proposed, where design space exploration algorithms are used to automatically search the optimized accelerator design within a design space. Nevertheless, the increasing complexity of the neural network accelerators brings the increasing dimensions to the design space. As a result, the previous design space exploration algorithms are no longer effective enough to find an optimized design. In this work, we propose a neural network accelerator design automation framework named GANDSE, where we rethink the problem of design space exploration, and propose a novel approach based on the generative adversarial network (GAN) to support an optimized exploration for high-dimension large design space. The experiments show that GANDSE is able to find the more optimized designs in negligible time compared with approaches including multilayer perceptron and deep reinforcement learning.
Transforming Large-Size to Lightweight Deep Neural Networks for IoT Applications
Authors: Mishra Rahul , Gupta Hari
Published: November 2022

Deep Neural Networks (DNNs) have gained unprecedented popularity due to their high-order performance and automated feature extraction capability. This has encouraged researchers to incorporate DNN in different Internet of Things (IoT) applications in recent years. However, the colossal requirement of computation, energy, and storage of DNNs make their deployment prohibitive on resource-constrained IoT devices. Therefore, several compression techniques have been proposed in recent years to reduce the energy, storage, and computation requirements of the DNN. These techniques have utilized a different perspective for compressing a DNN with minimal accuracy compromise. This encourages us to comprehensively overview DNN compression techniques for the IoT. This article presents a comprehensive overview of existing literature on compressing the DNN that reduces energy consumption, storage, and computation requirements for IoT applications. We divide the existing approaches into five broad categories—network pruning, sparse representation, bits precision, knowledge distillation, and miscellaneous—based upon the mechanism incorporated for compressing the DNN. The article discusses the challenges associated with each category of DNN compression techniques and presents some prominent applications using IoT in conjunction with a compressed DNN. Finally, we provide a quick summary of existing work under each category with the future direction in DNN compression.
Spatial and Temporal Organization of Chromatin at Small and Large Scales
Authors: Schiessel Helmut
Published: November 2022

DNA molecules with a total length of two meters contain the genetic information in every cell in our body. To control access to the genes, to organize its spatial structure in the nucleus, and to duplicate and faithfully separate the genetic material, the cell makes use of sophisticated physical mechanisms. Base pair sequences multiplex various layers of information, chromatin remodelers mobilize nucleosomes via twist defects, loop extruders create a system of nonconcatenated rings to spatially organize chromatin, and biomolecular condensates concentrate proteins and nucleic acids in specialized membraneless compartments. In this review, we discuss the current state of understanding of some of these mechanisms that influence the organization of the genetic material in space and time.
Configuration Features and Calculation Mechanisms of the Composite RC Column-Steel Beam (RCS) Joints: State of the Art
Authors: Xiong Liquan , Pan Xingyue , Jia Zhen , Guo Zhengchao , Li Linyan , He Jian
Published: November 2022

Reinforced concrete and steel (RCS) composite moment frame structures consist of reinforced concrete (RC) columns and steel (S) beams. Such systems combined with several advantages of the two structural members have larger structural stiffness, lower cost, and faster construction speed than the traditional concrete or steel frame system to be a particularly well viable alternative for use in seismic risk regions. The calculation of joint shear capacity is an essential step in seismic design. This study introduces the typical configuration characteristics of the RCS connection and reviews the state of the art of the shear bearing capacity in terms of failure models, shear distribution mechanisms, calculation mechanisms, and requirements given in the experimental and theoretical study to provide reference and foundation for the subsequent study. Finally, the development of recommendations and further research studies on seismic performance of RCS composite frames are provided.
Complete Genome Sequence and Comparative Genome Analysis of Variovorax sp. Strains PAMC28711, PAMC26660, and PAMC28562 and Trehalose Metabolic Pathways in Antarctica Isolates
Authors: Shrestha Prasansah , Karmacharya Jayram , Han So-Ra , Lee Jun Hyuck , Park Hyun , Oh Tae-Jin
Published: November 2022

The complete genomes of Variovorax strains were analyzed and compared along with the genomes of Variovorax strains PAMC28711, PAMC28562, and PAMC26660, Antarctic isolates. The genomic information was collected from the NCBI database and the CAZyme database, and Prokka annotation was used to find the genes that encode for the trehalose metabolic pathway. Likewise, CAZyme annotation (dbCAN2 Meta server) was performed to predict the CAZyme family responsible for trehalose biosynthesis and degradation enzymes. Trehalose has been found to respond to osmotic stress and extreme temperatures. As a result, the study of the trehalose metabolic pathway was carried out in harsh environments such as the Antarctic, where bacteria Variovorax sp. strains PAMC28711, PAMC28562, and PAMC26660 can survive in extreme environments, such as cold temperatures. The trehalose metabolic pathway was analyzed via bioinformatics tools, such as the dbCAN2 Meta server, Prokka annotation, Multiple Sequence Alignment, ANI calculator, and PATRIC database, which helped to predict trehalose biosynthesis and degradation genes’ involvement in the complete genome of Variovorax strains. Likewise, MEGA X was used for evolutionary and conserved genes. The complete genomes of Variovorax strains PAMC28711, PAMC26660, and PAMC28562 are circular chromosomes of length (4,320,000, 7,390,000, and 4,690,000) bp, respectively, with GC content of (66.00, 66.00, and 63.70)%, respectively. The GC content of these three Variovorax strains is lower than that of the other Variovorax strains with complete genomes. Strains PAMC28711 and PAMC28562 exhibit three complete trehalose biosynthetic pathways (OtsA/OtsB, TS, and TreY/TreZ), but strain PAMC26660 only possesses one (OtsA/OtsB). Despite the fact that all three strains contain trehalose, only strain PAMC28711 has two trehalases according to CAZyme families (GH37 and GH15). Moreover, among the three Antarctica isolates, only strain PAMC28711 exhibits auxiliary activities (AAs), a CAZyme family. To date, although the Variovorax strains are studied for different purposes, the trehalose metabolic pathways in Variovorax strains have not been reported. Further, this study provides additional information regarding trehalose biosynthesis genes and degradation genes (trehalases) as one of the factors facilitating bacterial survival under extreme environments, and this enzyme has shown potential application in biotechnology fields.
Analysis of Mechanical Performance of Steel‐Concrete Composite Girder Bridge with V‐Shaped Piers
Authors: Zeng Yong , Li Yongqi , Yu Tao , Wei Jiahao
Published: November 2022

The steel‐concrete composite girder bridge with V‐shaped piers is a new type of bridge structure. It has both the unique mechanical performance of a combined continuous girder and that of a V‐shaped pier bridge. At present, studies on the mechanical properties of steel main girders combined with concrete deck slabs are mainly focused on the substructure for vertical piers, but piers and girders are not solidified. However, if the V‐shaped piers are cemented to the main girder, the performance of the V‐shaped piers will directly affect the performance of the total superstructure. The steel main girder and concrete deck slab of a steel‐composite girder are considered to be different parts of the same section. The joint section is used to simulate the changes in section stiffness of each section during the different stages of construction. In this paper, the first steel‐concrete composite girder bridge with V‐shaped piers is studied in detail. The effects of different influencing factors on the structural forces are investigated using finite element analysis. The results show that the force performance of this bridge type is strongly influenced by the structure. These can provide guidance for the design and construction of this bridge type, which is of great significance.
Numerical Simulation of Single-Mode 3D Rayleigh-Taylor Instability
Authors: Kim Dongyung
Published: November 2022

Rayleigh-Taylor instability (RTI) is analyzed theoretically by Taylor, and 2-dimensional experimental results are obtained by Lewis in 1950. Over the 72 years, several experiments and theories are developed with the shock-driven Ritchmyer-Meshkov instability (RMI) and the shear-driven Kelvin-Helmholtz instability (KHI). Here, we emphasize the single-mode Rayleigh-Taylor instability (RTI) mixing simulation with a surface area in 3 dimensions. The simulation uses concentration equations and nonzero transport. We observed chaotic interface behavior even for this single-mode simulation, in the sense that the interface appears to have an area proportional to

Δ

x

−
1

, with respect to its mesh (non)convergence (i.e., rate of divergence) properties.
The Equitable Chromatic Bounds on Splitting of Block Circulant Graphs
Authors: Jagannathan M , Vivin.J Vernold , Vivik.J Veninstine
Published: November 2022

An equitable vertex coloring for the splitting of block circulant graphs is investigated. The block circulant graphs comprises block circulant matrices, where each block is itself a matrix. These blocks in each row are cyclically shifted one place to the right from those of the previous row. We approached such block circulant graphs in matrix representation and derived their independent sets using the neighbourhoods of each vertex. This classification makes the vertex coloring process to be simpler and equitable in most cases. In this framework, the equitable chromatic numbers are obtained for splitting on block circulant graphs, namely prism, antiprism, crossed and closed sun graphs.
Local Feature Filtering Method for Dynamic Multiframe Video Sequence Images
Authors: Zhang Dawei , Huang Dan
Published: November 2022

To improve the quality of local feature filtering for dynamic multiframe video sequence images, this study is aimed at designing an improved nontexture class noise filtering algorithm based on noise construction denoising algorithm and gray histogram of pixel points, and then designs a texture noise denoising algorithm based on texture smoothing processing and circular gradient values. The two algorithms are combined to propose a comprehensive filtering and denoising algorithm for horizontal dynamic video images. The experimental test results show that the normalized correlation coefficient, mutual information quantity, peak signal-to-noise ratio, and information entropy of the integrated filter denoising algorithm are 0.950, 0.935, 0.816, and 0.933 after convergence of the training effect, which are significantly higher than those of the commonly used median denoising algorithm and Kalman denoising algorithm. However, the computational time consumption of the proposed integrated filtering and denoising algorithm is higher than that of the comparison algorithms. The experimental results show that the integrated filtering algorithm for dynamic video images designed in this study can achieve better filtering and image reconstruction results in application scenarios with lower requirements for the timeliness of processing results.
New Constructions of Existential Unforgeable Aggregate Signature Scheme from CSP
Authors: Mi Bo , Zou Yongxing , Huang Darong , Liu Yang , Chen Lu
Published: November 2022

In future, hundreds of years of mathematical problems that the security of public key cryptography algorithms rely on may be defeated by quantum algorithms. How can a digital signature scheme gracefully balance security and efficiency? This study uses the conjugate search problem and the left self-distributive system to combine and uses the RSA-like algorithm as the underlying structure to propose a new aggregated signature scheme. We, through the EUF game, under the random metaphor model, prove that the security of the scheme satisfies the adaptation unforgeability under selective message attack, the scheme can be finally reduced to the discrete logarithm problem or large prime number decomposition problem. In addition, we can achieve antiquantum attack and exhaustive attack by performing matrix calculations on the message, defining and changing the structure of the matrix by encoding, and setting thresholds for the matrix dimension and the length of the private key. In terms of efficiency, the message signature implementation is linear compared with the expansion rate in terms of storage and computing overhead, and the generation and verification of the final signature pair have nothing to do with the number of users. In addition, the length of the signature is fixed and the size is only the length of a single group, which effectively reduces the generation of public and private key pairs and saves a lot of storage space. The storage space and computational complexity are also effectively improved compared with other solutions.
The Green Credit Policy Impact on the Financial Performance of Commercial Banks: A Quasi-Natural Experiment from China
Authors: Gao Xiaoyan , Guo Yiyang
Published: November 2022

Green credit is an important manifestation of commercial banks’ environmental responsibility, but few studies have examined the impact of green credit policies on the financial performance of commercial banks. Based on the panel data of 62 commercial banks in China from 2013 to 2020, this paper investigates the changes in financial performance due to the implementation of green credit policies in 2016 using the difference-in-differences (DID) method and explores the mediating mechanism of green credit affecting commercial banks’ profit. The sample was divided into a treatment and a control group. The treatment group disclosed total green credit data during the sample period, while the control group did not. The findings of this paper are as follows: (1) the implementation of the green credit policy increases the profits of commercial banks. (2) The green credit policy improves the profits of commercial banks by increasing their noninterest income and reducing their nonperforming loan ratios. (3) The green credit policy does not improve commercial banks’ profit by reducing their cost-to-income ratios. (4) The implementation of the green credit policy significantly improves the profits of banks with low (vs. high) nonperforming loan ratios. (5) Compared to large national banks, regional urban and agricultural commercial banks’ profits improve more significantly after executing the green credit policy. The research contribution of this paper provides a quantitative basis for Chinese commercial banks to improve their financial performance through the implementation of green credit in recent years and for the government to further improve green credit policies to motivate banks to implement green credit and achieve sustainable development. Then, we further discuss the implications for the prominent theoretical and managerial policies, study’s limitations, and future research directions.
A produção das diferenças e da visibilidade: reflexões sobre música, corpo, política e saberes
Authors: Almeida Heloisa Buarque de , Cesarino Pedro de Niemeyer
Published: November 2022

Neste volume, a Revista de Antropologia reúne seis artigos em torno do dossiê “ReXistências musicais entre arte e política”, organizado por Rose Satiko Gitirana Hikiji, Vi Grunvald e Paula Guerra. Neste dossiê, todos os artigos trazem questões sobre música, performatividade e política, ao revelar contextos sociais em que o musicar é um ato político de resistência que viabiliza a construção de redes e comunidades imaginadas, e ainda permite visibilizar alternativas não hegemônicas de gênero, raça e sexualidade. Os artigos se debruçam sobre populações vulnerabilizadas e performances musicais e visuais questionadoras sobre os limites dos corpos e das tradições musicais num mundo digitalmente conectado.
The King’s Horsemen in the Battle of Cunaxa
Authors: Podrazik Michał
Published: November 2022

The scholarly debate on the Achaemenid Empire’s cavalry pays only a little attention to the Great King’s horsemen in the Battle of Cunaxa, fought in 401 BC between the forces of Artaxerxes II (404-359 BC) and his younger brother Cyrus. The same can be said of the discussion on the battle itself—Artaxerxes’ horsemen are mentioned rather cursorily. The aim of the present article is to provide a closer look into Artaxerxes’ cavalry in the Battle of Cunaxa, with particular attention paid to the horsemen commanded by Artagerses and by Tissaphernes.
Morphological trends and genetic divergence in anacondas, genus Eunectes Wagler, 1830 (Serpentes: Boidae)
Authors: Tarkhnishvili David , Hille Axel , Waller Thomas , Todua Mariam , Murtskhvaladze Marine , Böhme Wolfgang
Published: November 2022

The genus Eunectes Wagler, 1830 is divided into four nominal species: E. murinus (Linnaeus, 1758), E. notaeus Cope, 1862, E. deschauenseei Dunn and Conant, 1936, and E. beniensis Dirksen, 2002 (E. barbouri Dunn and Conant, 1936 being a synonym of E. murinus). We analyze multivariate morphological traits (scalation, coloration pattern, and body shape), sequences of one mitochondrial and five nuclear genes, and genetic patterns of randomly amplified DNA (RAPD) markers of historical geographical samples representing all known taxa. We show that the genus consists of two distinct evolutionary lineages, ‘big-bodied’ (only E. murinus) and ‘small-bodied’ anacondas. The latter group includes three morphologically distinct allopatric forms, E. notaeus, E. deschauenseei, and E. beniensis. Both phenotypically and genotypically, E. beniensis is more distant from E. notaeus and E. deschauenseei than the two latter species are from each other. However, the three nominal species of small-bodied anacondas did not show clear reciprocal monophyly and did not reach the stage of complete lineage sorting. Instead, genetic data support the presence of three incipient species of small-bodied anacondas.
Sève and Alienation – A Biographical Preface
Authors: Roche Julian
Published: November 2022

Lucien Sève devoted his life to the development of a Marxist theory of the personality. In so doing, and as part of a theoretical debate with both Marxist humanists and structural Marxists within the Parti Communiste Français, he was inevitably drawn to analyse alienation as a category of Marxist analysis. His conclusion was that although Althusser had been right to argue for the ‘epistemological break’ in Marx’s thought, it was wrong to suggest that Marx abandoned the concept of alienation in his later work. Far from it: a transformed conception of alienation derived from historical materialism remains the key to understanding Marxism.
Political Work on a Cultural Front
Authors: Plys Kristin
Published: November 2022

After South Asia won its flag-independence from Britain, Pakistani artists pursued two distinct strategies for the shared goal of producing art in the service of national liberation. A group of communist artists sought to innovate new cultural forms to serve movements of the left, while others endeavoured to recover the pre-colonial Islamicate culture of South Asia to serve state-building efforts. During the Zia coup in 1977, protest poetry and art of the Pak Tea House, Lahore’s art and literary salon, inspired resistance against the military dictatorship. This protest was framed not merely against the military dictatorship, but also against US imperialism more broadly. By examining Walter Rodney’s and Frantz Fanon’s ideal role of the postcolonial artist or intellectual, I show how the role of art in leftist politics was rethought in the aftermath of the Zia coup by the artists and leftists who frequented the Pak Tea House. What the discussions about politically engaged art that took place in the Pak Tea House during the Zia Coup reveal is that novelty and abstraction are important strategies in creating art that can combat imperialist dictatorships.
La langue spéciale des poètes : l’oblitération du nom dans la poésie arabe médiévale
Authors: Foda Hachem
Published: November 2022

Cet article s’intéresse au phénomène linguistico-rhétorique massivement présent dans la poésie arabe médiévale, qui consiste à oblitérer un substantif pour le remplacer par une épithète. Après avoir analysé tel discours théorique de la tradition médiévale, portant sur ce procédé appelé ṣifa li-mawṣūf maḥḏūf, l’article examine les liens que celui-ci entretient avec ce que cette même tradition nomme abyāt al-maʿānī, ces vers abscons qui ne se laissent pas comprendre immédiatement et exigent d’être interprétés. Puis, en vue d’appréhender la spécificité de ce phénomène de l’oblitération du substantif et de rendre compte du privilège que lui confère sa remarquable récurrence dans le discours poétique, l’article tente de le situer dans le cadre plus général de l’ilġāz. À cette fin, il interroge quelques ḫabars que rapporte Abū l-Faraǧ al-Iṣfahānī dans le Kitāb al-Aġānī (Le livre des chansons), qui témoignent du fait que l’oblitération du substantif constitue un facteur décisif parmi ceux qui permettent de se servir d’un vers de poésie en guise d’énigme ou de devinette, lors d’une sorte de jeu ou d’épreuve consistant à le soumettre au savoir et à la sagacité d’une ou plusieurs personnes, dans le but d’éprouver leur compétence en poésie. L’hypothèse qui guide ce travail est la suivante : la remarquable fréquence de l’oblitération du mawṣūf témoignerait de ceci au moins que dans la tradition arabe médiévale la poésie est conçue comme un discours où le locuteur évite de nommer, évite de mentionner le nom de ce dont il parle, pour en confier la mention à son destinataire (auditeur ou lecteur). Telle est la dimension essentiellement sibylline de la parole poétique. Sans se présenter toujours ni même souvent comme une énigme, cette parole est néanmoins structurée comme une énigme.
Old Arabic Minutiae II: Greek-Safaitic Bilinguals and Language Contact in the Syro-Arabian Ḥarrah
Authors: Al-Jallad Ahmad , al-Manaser Ali
Published: November 2022

This article publishes a selection of texts discovered during the 2019 Badia Survey that shed light on the complex interactions between the inhabitants of the desert and settled areas. The inscriptions studied here include two new Safaitic-Greek bilingual texts, two new Greek inscriptions, and a Safaitic text composed by an inhabitant of the city of Bosra in the Ḥawrān.
Al-Abad: On the Ongoing
Authors: Bader Eddin Eylaf
Published: November 2022

This article focuses on the word al-Abad, literally meaning forever, infinite and immortality, and how it was deployed by the Syrian regime. The word is used excessively in different discursive mediums within Syria’s political culture, either in the form of banners, graffiti, photos, slogans or songs. The article seeks to analyze al-Abad through its different dimensions: its literal meaning in language, its position as a stagnant social structure and ‘an eternal’ political system, its connotations as a killing or extermination mechanism, and finally, al-Abad as Syria itself. My research sheds light on how authoritarian regimes use language as an important instrument of power and a mechanism to shape the political landscape. I demonstrate how terms and words are in constant flux and adjust in circulation depending on space, time and the political landscape. The changing relationship of a term or word is dependent on new layers of meaning that change its significance on multiple levels.
Jawlān
Authors: Ibraheem Aamer , Zakar Adrien
Published: November 2022

In this article, we focus on the keyword Jawlān to highlight one of the most critical, if overlooked, dimensions of autocracy in modern Syria. Occupied by Israel in 1967, the Jawlān is a borderland where words have made political relationships possible, sustaining forms of national and kin attachments for decades. We show how, within post-1967 Syria, the Jawlān came to function as a discursive vessel for the state to address its citizenry outside the boundaries of the Golan Heights. When the 2011 moment began, ways of communicating with the state were enacted to both buttress the autocracy and solidify the resistance movement opposing it. We offer an analysis demonstrating how these various ways of hailing had grown out of autocracy but came to frame communications among citizens and structure civic relations beyond the workings of the regime and the geographical scope of its sovereignty. Drawing on the dynamics in play at this moment, we contribute to current discussions on neoliberal autocracy and borderland ontologies, approaching ideological interpellation as a mode of enfolding diasporic Syria spaces and communities outside regime-controlled areas into its political order.
The ‘Un-revolutionary’ Figure
Authors: Ghazzawi Razan
Published: November 2022

Since protest movements had swept the Middle East and North Africa regions in early 2011, new politics have emerged, creating unimagined spaces, ways of existence and knowing the world, and more importantly, new subcultures of othering. This article critically examines revolutionary subcultures of non-comradeship, figurations of ‘non-authentic revolutionaries’ and ways of revolutionary othering by focusing on the term ‘Ramadyeen’ as a reference coined by Syrian revolutionaries to describe individuals whose politics are ‘not revolutionary enough’. Written from the positionality of a scholar-activist who participated in the protest movement, this text employs anti-sectarian feminist politics to reflect on how ‘Ramadyeen’ was mobilized to erase and decrease voices of nuances and criticism of dominant revolutionary demands, specifically around humanitarian intervention, militarization and sanctions against Syria. Therefore, this article locates ‘Ramadayeen’ as a keyword of counter-cultures targeting ‘un-revolutionary’ people and political positions.