bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Cell Pore Configuration on Dynamic Mechanical Properties of Honeycomb Structures
Authors: Li Jiaxing , Zhong Weizhou , Li Jian , Liu Yuan , Zhang Zexiong 
Published: December 2023

Abstract
With the rapid development of advanced manufacturing technologies such as additive manufacturing, which provides an effective means for processing and preparing a variety of structures with more complex geometrical configurations, the design and study of honeycomb structures have played an important role in promoting the design and study of honeycomb structures. At present, the study of such structures is mainly limited to hexagonal honeycombs, and relatively few studies have been conducted on other cell geometries. In this study, by using the finite element method, we have simulated and investigated the mechanical properties of typical honeycomb structures, in which these structures have different cellular pore configurations and arrangements that are subjected to in-plane low-velocity impact loading. We compared their dynamic load-carrying capacity and deformation patterns with the relative density and impact velocity which is kept constant. Our results show that different cell pore configurations lead to different cell wall stress states during the compression of the honeycomb structure, which affects the macroscopic mechanical properties of the overall structure. Honeycombs with predominantly cell-edge bending have lower stiffness, compressive strength and smoother platform stresses. Honeycombs with deformation modes dominated by cell-wall plastic buckling have the opposite properties. The design of protective structures through further combinatorial optimization of honeycomb structures provides more options to enhance their overall behavior and energy absorption properties.
Investigation of Small Strain Dynamics in Modified Aeolian Sand under Vibration Triaxial Conditions
Authors: Zhao Xiping , Sun Xiao , Liu Wanle , Tian Zhenghong 
Published: December 2023

Abstract
By utilizing vibration triaxial tests, this study analyzed the effects of various factors, such as confining pressure, consolidation ratio, and silt content on the elastic modulus and damping ratio of silt-modified aeolian sand under conditions of minor deformation. The results indicate that with increasing confining pressure and consolidation ratio, the dynamic elastic modulus of improved aeolian sand gradually increases, while the damping ratio decreases progressively. The dynamic elastic modulus growth rate of untreated aeolian sand demonstrates a positive correlation with confining pressure, while the corresponding rate for the modified aeolian sand by adding cement and silt exhibits an inverse correlation with confining pressure. As dynamic strain increases, the dynamic elastic modulus decreases and approaches a stable value. The damping ratio rises at a diminishing rate and eventually stabilizes as dynamic strain continues to increase. The dynamic stress-strain backbone curve of the modified aeolian sand follows a theoretical hyperbolic model, while the small strain dynamic behavior is consistent with the Hardin-Drnevich model.
The Effects of the Addition of Ca, Gd, La, and Y on Mechanical Properties and Microstructure of Pure Magnesium
Authors: Lin Biao-Zhi , Xu Yuan-Hao , Hou Jie , Huang Xin-Ting , Jiang Bing-Chun 
Published: December 2023

Abstract
The effects of different elements on the mechanical properties and microstructure of pure Mg were studied by XRD, SEM, and tensile tests. The results show that with the addition of 1wt% Ca, Gd, La, and Y elements alone, different second-phase particles appear in the microstructure of Mg-1X. The addition of Gd and Y elements generates a small amount of Mg5Gd and Mg24Y5 particles, respectively. In contrast, the addition of the Ca element generates a large number of coarse Mg2Ca particles, and the addition of the La element generates a large number of fine and evenly distributed Mg12La particles. After extrusion, the extruded Mg-1X magnesium alloy shows a fine equiaxed recrystallization structure. All four alloys show bimodal texture distribution with deflection along the ED direction, and the texture deflected along the TD direction appears in Mg-1La alloy. The tensile test shows that the yield strength of MG-1La alloy is the highest when it is drawn along the ED direction. The yield strength of Mg-1La alloy is the lowest when it is drawn along TD.
A mechanical analysis based on pterosaur flight
Authors: Liu Yangting 
Published: December 2023

Abstract
Pterosaurs are the earliest vertebrates known to have evolved powered flight and are one of the heaviest flying animals. The reason why pterosaurs can fly has puzzled scientists. This article conducts a mechanical analysis of the cause of pterosaur flight. First, based on the theory of hydrodynamics and aerodynamics, the energy conservation and N-S equations are established to simulate the whole process of pterosaur flight (takeoff-glide-landing). Then, based on Newton’s second law, energy equation, and differential motion equation, the power during pterosaur flight is analyzed, and the U-shaped curve is obtained. Next, based on the leaf element-momentum theory, we chose Wellnhopterus brevirostris as our analysis object, and the average velocity and flutter frequency of pterosaur during flight were analyzed[1].
Super-resolution Localization Problem Based on the Mobile Scenario
Authors: Zhu Ying Hao , Wei Xi Chuan , Jiang Xin Yu 
Published: December 2023

Abstract
Target positioning has always been a hot research topic in the field of sensors. In recent years, radar detection technology has become increasingly mature, resulting in a large number of radar sensors have begun to be used in traffic, security, medical and other fields for target detection. This paper mainly studies the super-resolution localization problem of FMCW FMCW in moving scenes. It analyzes the echo data by mathematical modeling to obtain the distance and angle information of the object to find the place of the object. To restore the motion trajectory of objects more realistically and achieve super-resolution positioning, a super-resolution radar positioning model based on Kriging interpolation based on the Fourier spectrum is established. By constructing a frame of intermediate frequency data Fourier spectrum tensor space, Fourier spectrum analysis is used to obtain the spectral characteristics of spatiotemporal changes when objects move. The Fourier spectrum surface is reasonably predicted through the statistical method - kriging interpolation. More Fourier spectrum information of objects in the time dimension can be obtained, and then more object points can be restored to achieve super-resolution positioning. This is widely used in the automotive field, which develops autonomous driving systems to help drivers better control the vehicle and reduce the probability of car accidents.
Transmission section search method based on variable scale nearest neighbor propagation clustering
Authors: Wang Zhen , Tang Jun , Mao Xun , Wang Jingjing , Peng Wei , Xia Junli , Zhang Dabo 
Published: December 2023

Abstract
Transmission sections have great significance in modern power systems. Given the phenomenon of frequent power outages caused by the chain tripping of transmission sections, a method for transmission section search based on the variable-scale affinity propagation clustering algorithm is proposed. Considering only the connection relationship, the power system model can be simplified to a topological map in graph theory for analysis. So firstly the algorithm considers the importance of each line from the perspectives of the structure of the graph and the actual operation of the power flow and then uses the variable-scale affinity propagation clustering algorithm for the network based on this value with the change of the number of cluster centers. The network will be partitioned at different scales, then find out the partition contact line at different scales, and judge whether it is a transmission cross-section by the power flow direction and the number of contact lines. This method can search out as many potential transmission sections of the power network as possible to provide more monitored objects for the staff and reduce the probability of large power outages. Finally, simulation in the IEEE-118-bus system and the IEEE-39-bus system verifies the effectiveness of the proposed method.
Distribution Network Optimization Dispatch Method Based on Renewable Energy Scenario Reduction
Authors: Huang Xinghua , Zhang Gonglin , Fan Yuanliang , Wu Han , Li Lingfei , Lin Jianli , Chen Shichuan , Chen Feixiong , Wang Hailong , Shao Zhenguo 
Published: December 2023

Abstract
The scenario analysis method is an important method to adapt to the optimal dispatch of power systems with a high percentage of new energy sources. As a hot research topic in scenario analysis methods, the significance of scenario reduction is to describe many complex scenarios that feature a small number of representative scenarios to achieve the purpose of reducing computational complexity. In this paper, a distribution network optimization dispatch method based on the hierarchical clustering algorithm for scenario reduction is proposed considering wind power output and photovoltaic output. Firstly, the original scenes are quickly categorized because of the hierarchical clustering algorithm to derive typical scenarios. Secondly, an optimal dispatch model of the distribution network containing renewable energy is established. Finally, the arithmetic example is verified by using the IEEE33 distribution network, and the experimental results validate the validity and superiority of the proposed scenario reduction method.
Power supply restoration strategy of distribution system considering load demand response
Authors: Wang Dawei , Liu Yan , Yan Xinxu , Wu Juan 
Published: December 2023

Abstract
The fluctuation of new energy output decreases distribution system reliability and increases the risk of a power outage. Based on this, considering the participation of new energy sources, the influence of load participation demand response on the distribution system is analyzed, the load demand response model is established, and the corresponding unit capacity compensation cost model is proposed. Considering the recovery income, operation cost, demand response compensation cost, and risk, a bi-level optimization model is established to solve the maximum recovery net income of the system. The upper layer aims at maximizing the expected net recovery income of the entire distribution system and proposes a distribution system partition scheme that takes into account the participation of new energy sources and mobile sources. The lower layer aims at maximizing the net recovery income of each partition and solves the recovery time and recovery amount of the load in each partition or the response time and response amount of the load participating in demand response under the condition of limited resources. Finally, the effectiveness of the power supply recovery optimization strategy of the distribution system proposed in this paper is verified by an example.
A fast simulation method of ground clutter for airborne wideband radar based on measured SAR image
Authors: Xu Yong , Zhu Yongfeng , Song Zhiyong 
Published: December 2023

Abstract
Ground clutter simulation is a key factor in the design and development of air-to-ground wideband radar. In this paper, the ground clutter simulation technology of stepped frequency airborne wideband radar is studied, and a fast simulation method of ground clutter based on SAR image is proposed. Firstly, the segmented area of high-resolution SAR image according to the radar illumination region is used as the input of the ground scattering coefficient to improve the fidelity of clutter simulation. Then, the antenna pattern is constructed by the uniform plane phased array, by which the power gain of the clutter point is modulated. Thirdly, the clutter echo of stepped-frequency radar is calculated according to the equidistant circle principle which improves the efficiency of computation. Finally, the proposed method is verified via computer simulation. The results show that the method can simulate ground clutter of radial space-variation effect induced by narrow antenna beam, verifying the effectiveness of the method. This method is applicable to various scenarios.
A Bi-directional Attention Based End to End Mispronunciation Detection and Diagnosis of Mandarin
Authors: Liu Qingqing , Wumaier Aishan , Shen Yunfei 
Published: December 2023

AbstractAn increasing number of individuals are acquiring proficiency in Mandarin, signifying the growing significance of employing computer-assisted pronunciation training systems for Mandarin learners. One pivotal component within these systems is the technique for identifying and addressing mispronunciations, known as Mispronunciation Detection and Diagnosis (MDD). Recently, certain end-to-end techniques have tried to fuse features of prompt text and acoustic features into the model for training and have shown good results. However, previous approaches have fused acoustic features with prompt text features by a simple attention mechanism. In this paper, we posit that the impact of text features varies significantly when mapped to distinct acoustic characteristics. Furthermore, we propose that the prompt text can lead the model towards achieving an integrated text-audio representation, thereby enhancing the inference quality. Hence, this article presents a model aimed at detecting and diagnosing mispronunciations. The model utilizes a bidirectional attention mechanism to integrate acoustic and prompt text features. Good results were achieved by conducting experiments on a self-built dataset of short Mandarin read-aloud texts.
Equipment consumption prediction based on improved HOLT exponential smoothing method
Authors: Gao Yu , Yao Kelei , Xiao Longbin , Gao Shuo 
Published: December 2023

Abstract
In response to the prediction of equipment consumption, the Markov chain was used to improve the Holt index smooth method. The results show that the improved Holt exponential smoothing method makes the average relative error drop significantly, and the prediction accuracy of the model is improved significantly, providing a scientific decision basis for equipment demand in equipment maintenance and guarantee work.
Security of quantum key distribution with imperfect phase randomisation
Authors: Currás-Lorenzo Guillermo , Nahar Shlok , Lütkenhaus Norbert , Tamaki Kiyoshi , Curty Marcos 
Published: December 2023

Abstract
The performance of quantum key distribution (QKD) is severely limited by multiphoton emissions, due to the photon-number-splitting attack. The most efficient solution, the decoy-state method, requires that the phases of all transmitted pulses are independent and uniformly random. In practice, however, these phases are often correlated, especially in high-speed systems, which opens a security loophole. Here, we address this pressing problem by providing a security proof for decoy-state QKD with correlated phases that offers key rates close to the ideal scenario. Our work paves the way towards high-performance secure QKD with practical laser sources, and may have applications beyond QKD.
Effects of fiber type, content, orientation, and surface treatments on the mechanical properties of PAFRP composite
Authors: Singh Siddhant Pratap , Sharma Amit , Singh Vivekanand , Mishra Sanjay 
Published: December 2023

Abstract
In present scenario, natural fibers are the preferred choice of manufactures to fabricate the sustainable polymer matrix composites. These composites may be a good substitute for synthetic materials after achieving the comparable strength with some treatments. Pineapple leaf fiber (PALF) contains high cellulose with low micro fibrillar angle which leads to decent inherent fiber strength. It is used for reinforcement in the proposed work to fabricate the epoxy matrix composite using hand layup method. During testing of composite, the effects of fiber content, type, and orientations on mechanical properties have been examined. Samples were prepared by varying the fiber type (short and long fiber), fiber orientations (at 0°, 90°, and 45°) and fiber contents by weight % (i.e., 5, 10, 15 and 25). The results of mechanical characterization reveal that the tensile and flexural strength for short fiber composite is found maximum at 25% of fiber content (20.85 MPa and 42.70 MPa, respectively). However, long fiber reinforced composite with 5% of fiber content exhibits maximum tensile and flexural strength as: 35.72 MPa and 56.19 MPa. The maximum flexural strength and impact strength of composite were found as 52.98 MPa and 25.30 J m−2, respectively when the fibers are oriented at 0°. The maximum values of water absorption in composite were found as: 1.74% for short fiber and 1.25% for long fiber reinforced composites. The Fourier transform infrared radiation (FTIR) spectroscopy confirms the removal of non-cellulose contents within the composite. Finally, the morphological analysis was carried out to find the debonding, splitting and pull-out of fibers within the composites which are the major reasons of composite failure.
High-dimensional reinforcement learning for optimization and control of ultracold quantum gases
Authors: Milson N , Tashchilina A , Ooi T , Czarnecka A , Ahmad Z F , LeBlanc L J 
Published: December 2023

Abstract
Machine-learning (ML) techniques are emerging as a valuable tool in experimental physics, and among them, reinforcement learning (RL) offers the potential to control high-dimensional, multistage processes in the presence of fluctuating environments. In this experimental work, we apply RL to the preparation of an ultracold quantum gas to realize a consistent and large number of atoms at microkelvin temperatures. This RL agent determines an optimal set of 30 control parameters in a dynamically changing environment that is characterized by 30 sensed parameters. By comparing this method to that of training supervised-learning regression models, as well as to human-driven control schemes, we find that both ML approaches accurately predict the number of cooled atoms and both result in occasional superhuman control schemes. However, only the RL method achieves consistent outcomes, even in the presence of a dynamic environment.
Improvement of adult female acne with a novel weekly oestradiol-loaded peel-off mask: a split-face placebo-controlled study
Authors: EL-Komy Mohamed H M , Youssef Dina Khaled Ahmed , Shamma Rehab Nabil , Bedair Nermeen Ibrahim 
Published: December 2023

Abstract

Background
Adult female acne (AFA) is characterized by a relapsing eruption of acne in women aged ≥ 25 years. It can be slower to respond to traditional adolescent acne treatments. Usually, androgens promote acne by stimulating sebum production, while oestrogens have the ­opposite effect by reducing sebum output when present in adequate quantities. Oestradiol is a female sex hormone that has its highest absolute serum levels and highest oestrogenic activity during the reproductive years. Peel-off facial masks have been suggested to intensify the effect of added active ingredients by forming an occlusive film after drying.

Objectives
To study the safety and efficacy of weekly topical oestradiol 0.05% in the treatment of AFA.

Methods
Twenty women with AFA were subjected to once-weekly application of an oestradiol 0.05% mask or placebo mask to either side of their face for 8 weeks. An acne lesion count was performed at baseline, at each visit and 8 weeks post-treatment.

Results
At the end of the treatment period, the treated side showed significant improvement in comedones, papules and pustules. Although lesion counts increased 2 months post-treatment, they remained significantly less common on the oestradiol-treated side compared with the side of the face treated with placebo. No side-effects were reported. Limitations included the small number of patients studied and the short follow-up period. The oestradiol effect was not studied at the cellular or molecular levels.

Conclusions
Topical oestradiol peel-off masks may be a promising convenient, safe and effective treatment for AFA.
Transitioning to sustainable energy by incumbent utilities: insights from M&As, alliances, and divestments
Authors: Niesten Eva , Pereira Guillermo , Pinkse Jonatan 
Published: December 2023

Abstract
Energy utilities play an important role in transitioning to a sustainable energy industry. Data on 8967 transactions by 19 European energy utilities from 1990 to 2019 illustrate when and how utilities invest in sustainable resources and divest traditional resources such as fossil-fuel plants. Utilities transitioning to sustainable energy have greater financial resources and experience with sustainability, are publicly owned, and access sustainable resources of international and inter-industry partners. Utilities adopt a diversified strategy of balancing sustainable and traditional resources.
Viral Load Dynamics in Plasma and Semen When Antiretroviral Therapy Is Initiated During Early HIV-1 Infection
Authors: Gilada Trupti , Ulrich Angela K , Wang Yixin , Lama Javier R , Alfaro Ricardo , Harb Socorro , Daza Glenda , Holte Sarah , Pasalar Siavash , Rios Jessica , Ganoza Carmela , Dasgupta Sayan , Coombs Robert W , Duerr Ann 
Published: December 2023

Abstract
We assessed human immunodeficiency virus (HIV) load in plasma and semen during primary HIV infection using serial samples of semen and plasma during the first 24 weeks after diagnosis in untreated participants and those who started antiretroviral therapy (ART) immediately at diagnosis. In the absence of treatment, semen viral load was &gt;1000 copies/mL in almost all specimens (83%) collected 2–10 weeks after the estimated date of HIV acquisition and remained &gt;1000 copies/mL in 35% of untreated participants at the last observed time point. Thus, in the absence of ART, semen viral load remained at a level consistent with transmissibility throughout primary infection.
The association between bacteriuria and adverse pregnancy outcomes: a systematic review and meta-analysis of observational studies
Authors: Piazzolla Hans R W , Modin Frederikke , Halkjær Sofie I , Petersen Andreas M , Calum Henrik , Holm Anne 
Published: December 2023

Abstract

Background
Antibiotics for bacteriuria and urinary tract infection are commonly prescribed during pregnancy to avoid adverse pregnancy outcomes. The aim of this study was to evaluate the association between significant bacteriuria in pregnancy and any of the four pregnancy outcomes: preterm delivery; low birth weight; small for gestational age; and preterm labour.

Methods
Systematic review with meta-analysis of observational studies. We searched PubMed, EMBASE, the Cochrane CENTRAL library, and Web of Science for observational studies published before 1 March 2022. The risk of bias was assessed using the Newcastle–Ottawa scale. Study identification, data extraction and risk-of-bias assessment was performed by two independent authors. We combined the included studies in meta-analyses and expressed results as ORs with 95% CIs (Prospero CRD42016053485).

Results
We identified 58 studies involving 421 657 women. The quality of the studies was mainly poor or fair. The pooled, unadjusted OR for the association between any significant bacteriuria and: (i) preterm delivery was 1.62 (95% CI: 1.30–2.01; 27 studies; I2 = 61%); (ii) low birth weight was 1.50 (95% CI: 1.30–1.72; 47 studies; I2 = 74%); (iii) preterm labour was 2.29 (95% CI: 1.53–3.43; 3 studies; I2 = 0%); and (iv) small for gestational age was 1.33 (95% CI: 0.88–2.02; 7 studies; I2 = 54%). Four studies provided an adjusted OR, but were too diverse to combine in meta-analysis.

Conclusions
This systematic review identified an association between significant bacteriuria in pregnancy and the three complications: preterm delivery; low birth weight; and preterm labour. However, the quality of the available evidence is insufficient to conclude whether this association is merely due to confounding factors. There is a lack of high-quality evidence to support active identification and treatment of bacteriuria in pregnancy.