bluuebunny/crossref_metadata_2025_split huggingface dataset:
A quantitative study of the micromotion of a P-band superfluid in a shaking lattice
Authors: Sun Jingxin , Liao Ren , Zhao Pengju , Hu Zhongshu , Wang Zhongkai , Liu Xiong-Jun , Zhou Xiaoji , Chen Xuzong 
Published: March 2023

Abstract
The time-of-flight (TOF) momentum distribution of the micromotion of a P-band superfluid is investigated in a frequency-modulated optical lattice. Besides the P-band atoms converted from the S-band atoms, we find a small fraction of atoms are transferred to the D-band which can be revealed by the band mapping images. A

π

/

2

phase lag can also be observed between the two satellite peaks of the D-band atoms and the two main peaks of the P-band superfluid in the oscillating TOF momentum distribution. Meanwhile, by deriving a fitting function for the TOF momentum distribution of the P-band superfluid, we find a large portion of atoms are actually thermalized due to lattice shaking. Based on this result, we introduced a generalized fitting function for the TOF momentum distribution at different time in a shaking cycle. Such a fitting function can roughly fit the experimentally observed oscillating momentum distribution and explain the micromotion of such a P-band superfluid. Thus, our results may deepen the understanding of the micromotion of the P-band superfluid in a frequency-modulated optical lattice.
Fusion hierarchies, T-systems and Y-systems for the dilute A2(2) loop models on a strip
Authors: Boileau Florence , Morin-Duchesne Alexi , Saint-Aubin Yvan 
Published: March 2023

AbstractWe study the diluteA2(2)loop models on the geometry of a strip of widthN. Two families of boundary conditions are known to satisfy the boundary Yang–Baxter equation. Fixing the boundary condition on the two ends of the strip leads to four models. We construct the fusion hierarchy of commuting transfer matrices for the model as well as itsT- andY-systems, for these four boundary conditions and with a generic crossing parameterλ. Forλ/πrational and thusq=−e4iλa root of unity, we prove a linear relation satisfied by the fused transfer matrices that closes the fusion hierarchy into a finite system. The fusion relations allow us to compute the two leading terms in the large-Nexpansion of the free energy, namely the bulk and boundary free energies. These are found to be in agreement with numerical data obtained for smallN. The present work complements a previous study (Morin-Duchesne and Pearce 2019J. Stat. Mech.1909) that investigated the diluteA2(2)loop models with periodic boundary conditions.
A Novel Definition of Fuzzy Difference on Non-increasing Fuzzy Real Numbers
Authors: Wu Xin , Zhang Yun , Lin Shuang , Zhong Yu 
Published: March 2023

Abstract
In this paper, firstly, a novel definition of a fuzzy difference based on non-increasing fuzzy real numbers is introduced, which is different from the previous definitions by using fuzzy interval-numbers and Zadeh’s extension principle. Then we give some important conclusions of fuzzy difference from the view of two cuts of fuzzy sets. Moreover, a definition of a opposite fuzzy real number is given so that we show the connection between the fuzzy difference and fuzzy addition on fuzzy real numbers. Finally, we provide several examples for the sake of illustrating the fuzzy difference on non-increasing fuzzy real numbers is reasonable generalization of classical difference. In addition, we give the prospect that we want to use this difference to research fuzzy derivatives.
Transitivity-like Postulates of Ternary Relation on Four Points
Authors: Guo Mingxue , Guo Yuhuan , Zou Jietao , Zhong Yu 
Published: March 2023

Abstract
In this paper, we firstly analyse the position relation on four points from four cases, that is, (i) both x and y are on the outside side of m and n, (ii) either x or y is on the inner side of m and n, (iii) both x and y are on the inner side of m and n, (iv) both x and y are on the same side of m and n. Then we acquire eight kinds of transitivity-like postulates from the four cases. What is more, we discuss the interrelationships between eight transitivity-like postulates and get some important deductibility theorems. Finally, we give a few counter-examples to show that the inverse of the deductibility theorems do not hold and get a summary diagram to show the relationships among these transitivity-like postulates.
Finite Element Model of Kinematic Pair Clearances of Elastic Linkage Mechanisms
Authors: Cai Ganwei , Gong Junjie , Peng Sixu , Wei Wei 
Published: March 2023

Abstract
The elastic deformation of the links in robot mechanisms affects the precision of their motion and fatigue strength. Kineto-elastodynamics (KED)-the dynamics analysis of mechanisms that considers the elasticity of their links-emerged early in studies of mechanisms and has been the subject of extensive research and applications since. However, there have been no reports on the effects of kinematic pair clearances on the elastic vibration of mechanisms. This is mainly because no finite element (FE) model has been developed for describing kinematic pair clearances in KED research of elastic linkage mechanisms. In this study, an FE model was proposed for describing kinematic pair clearances. The mass matrix of the model was obtained by considering the lumped masses of the pin and bearing. The stiffness matrix of the model was obtained based on the moduli of elasticity of the pin-bearing pair. The model was applied to KED modeling and was verified through simulation and complementary experiments. The results show that the model is suitable for KED research of elastic linkage mechanisms with small kinematic pair clearances but not suitable for those with large kinematic clearances. Our FE model of kinematic pair clearances may be useful for investigating the vibration of elastic-body robot mechanisms.
Numerical Simulation Study of Fragment Damage Based on ANSYS/LS-DYNA
Authors: Zhang Kaikai , Zhang Shuai , Zheng Ruoran , Zhang Kun 
Published: March 2023

Abstract
In this paper, combining with the possible battlefield threat mechanism of engineering equipment on the battlefield and aiming at the typical structural parts of a certain type of equipment, a numerical simulation study of fragment damage is carried out based on ANSYS/LS-DYNA software. By calibrating the material parameters of the wearing parts, the damage phenomenon caused by different impact speeds to the wearing parts is analyzed. For the tank material is Q345B steel, outer plate thickness of 3mm box, calculated by simulation at 1000m/s impact speed, tungsten alloy fragments cause the tank to be broken down, front material hole size of 1.4x4.14cm. The research results can provide theoretical reference for battlefield protection design of engineering equipment.
Numerical Investigation of the Influence of Furnace Wall Temperature on Pulverized Coal Combustion and NOx Emissions in a Supercritical CO2 Boiler
Authors: Li Mengxi , Zhang Chao 
Published: March 2023

Abstract
A study on the combustion process and NOx emission of pulverized coal in a supercritical CO2 boiler was carried out by using the method of numerical simulation. Using a comprehensive combustion model and a post-treatment NOx formation model, the influence of wall temperature on the characteristics of combustion and NOx emissions of a 300 MW tangential coal-fired boiler were studied. The temperature field and the concentration distribution of waste flue gas at the furnace outlet are analysed and studied. It was found that the furnace wall temperature seriously affected both the distribution of the temperature field and the emission of NOx. The supercritical CO2 boiler’s partial flow strategy led to further increases in temperature and NOx near the tail. According to the results of the calculations, the supercritical CO2 boiler might raise the exhaust gas temperature, making the difficulty of extracting energy from waste gas increased dramatically. The increased NOx emissions will lead to higher cost for implementation of after treatment of NOx emissions. The work’s findings can be used to improve the design of coal-fired supercritical CO2 boilers as well as gain a deeper comprehension of the formation of NOx.
Simulation Study of Fuel Concentration Field in Common-rail Diesel Engine Combustion Chamber under Plateau Environment
Authors: Wang Wei , Chen Shi , Guo Haiyang , Zhang Kaikai 
Published: March 2023

Abstract
China has the largest plateau in the world, with an average altitude of 2000m-4500m. Due to the decrease of atmospheric pressure and temperature, the decrease of air density and the decrease of water boiling point, resulting in a decrease in power, economy, low temperature starting and cooling, soot emissions and other performance, soot emissions increase, the diesel engine can not accord with the requirements of plateau areas in the plateau area. Fuel concentration field of diesel engine has important influence on its dynamics, economy and emissions. The paper uses numerical simulation to study the fuel concentration field of combustion chamber in the plateau environment of CA6DL2-35E3R common-rail diesel engine. The results show that altitude has great impact on fuel concentration field of combustion chamber, and fuel concentration field increases with the increase of altitude, and compared with high speed condition, more fuel is distributed at the bottom and top of the combustion chamber under low speed condition.
Real-time Automatic Arrhythmia Detection System based on Extreme Gradient Boosting and Neural Network Algorithm
Authors: Linghu Rongqian , Zhang Ke 
Published: March 2023

Abstract
Arrhythmia and other diseases are puzzling more and more people. Accurate detection is the key to realizing intelligent diagnosis of electrocardiogram(ECG) monitoring systems. It can prevent heart disease and effectively reduce mortality. An efficient and accurate arrhythmia detection method is urgent. In this work, a real-time automatic arrhythmia detection technology based on extreme gradient boosting (XGboost) and convolutional neural network (CNN) algorithm were developed. First, ECG signals in the MIT-BIH Arrhythmia database are preprocessed: 1) EMG interference filtering; 2) Power frequency interference suppression; 3) Baseline drift correction. Secondly, We use the cyclic singular spectrum (CISSA) algorithm to decompose the ECG after pretreatment. From the original ECG and the 7 simple signals obtained from decomposition, 23 features about the time domain, frequency domain, nonlinear dynamics and statistics are extracted respectively. Finally, XGboost and CNN algorithms are used to build a classification model, and the extracted features are classified, trained and recognized to achieve automatic detection of arrhythmia. The experimental results show that XGboost and CNN algorithms can automatically detect 98.40%, 95.65% and 97.60%, 95.12% of Category 2 and Category 4 arrhythmias, respectively.
Based AHP Loss Function Model for Equilibrium Dam Water Use
Authors: Xue Runqi , Liu Tao , Qiu Ruofeng , Miao Qunfeng , Xie Wu 
Published: March 2023

Abstract
The purpose of this paper is to establish a model to balance water for power generation and domestic use. Dams and reservoirs have been an important part of human production and life since ancient times. In order to make full use of water resources, we have modelled the distribution of water resources in Lake Powell and Lake Mead to help achieve optimal allocation of water resources. Several models are established, Model I: Multiobjective Optimization. Model II: Loss function model based on Analytic Hierarchy Process. The discussion of the above models covers a wealth of industry factors and emergencies, so our model has strong adaptability and flexibility. It can be used not only in the factor we are learning, but also in other factors. Finally, we conduct a sensitivity analysis for extreme climate events. The results show that the model is insensitive to changes in extreme climate events, which means it can deal with water allocation problems in extreme situations. The model can be considered stable.
Tunable Quasistationary States in a One-dimensional Quantum Heterostructure
Authors: Jao Ruei Fu , Luo De Yu , Lai Jin Zhi 
Published: March 2023

Abstract
In this work, we focus on the quasistationary states, lifetime, and transmittance in opened quantum wells with biased and unbiased. In order to solve the quasibound states, the complex eigenenergies are solved in our calculation model by adaptive finite element method. We have demonstrated the accuracy to exam the numerical convergence. In this case, the 1D quantum heterostructure is commonly composed of GaAs and AlxGa1-xAs. With the different applied bias, the resonant tunneling and transmittance profiles could be changed, respectively. Increasing the thickness of the outermost barrier can be prevented an electron penetrated through the barrier from the quasistationary state. This is a useful way to design easily the high-speed switch for semiconductor devices. Our results of numerical calculations are good agreement with the argument principle method approach. These results are useful and helped us to design quantum devices and quantum computations.
Research on Palletizing and Packing Based on Heuristic Algorithm
Authors: Liu Ke , Lv Xue-feng 
Published: March 2023

Abstract
Based on the heuristic packing algorithm, this paper proposes a 3D packing algorithm that can run efficiently to improve the efficiency of palletizing and packing. The design of the algorithm starts from three parts: block construction, remaining space processing, and optimal block search. Firstly, the goods are packed to meet the constraints of the direction of the goods and the constraints of the support of the goods, and various composite blocks are generated. Then, set the remaining space selection, division, and merging methods that meet the priority constraint rules. Then, a sliding window and integer-split heuristic search are used to select the optimal block for each generated space. Finally, the feasibility of the algorithm is proved by experiments.
Stability Analysis and Control Strategy of a Generalized Food Chain Model
Authors: Zhang Liping 
Published: March 2023

AbstractThe stability analysis and control strategy for a generalized food chain model is considered in this paper. Firstly, we investigate the existence of the positive equilibrium and give the conditions of local asymptotic stability. Meanwhile, we design a feedback controller and prove the stability of the proposed model with the controller by using the Lyapunov function. Due to the addition of control, the unstable food chain system can become stable. At last, the analysis results are verified by numerical simulations. Our results may help to maintain the stability of the biological systems and avoid ecosystem imbalance.
Figure Volume Calculation Based on Lidar Scanning Technology
Authors: Wang Feng , Zhang Xiaojie , Wang Wei , Zhang Kaikai 
Published: March 2023

Abstract
Aiming at the problems of earthmoving, low efficiency and complex calculation of ground object volume in the process of traditional engineering operation, a volume calculation method based on lidar scanning technology is proposed in this paper. The point cloud data of space volume was obtained by UAV lidar scanning system, and the regular grid method was used to resample the point cloud and obtained the volume of space volume. Taking the vehicle as an example, collected the twice point cloud data of the ground and the vehicle, calculated the trajectory and coordinates, the original data are pre-processing and resampled. The volume of surface vehicle was calculated by dividing regular grid and compared with the actual volume. The error was only 0.19% at the resampling interval of 0.25m. The results show that the method has high calculation efficiency and precision, and provides a reference for relevant engineering applications.
High-throughput microgel biofabrication via air-assisted co-axial jetting for cell encapsulation, 3D bioprinting, and scaffolding applications
Authors: Pal Vaibhav , Singh Yogendra Pratap , Gupta Deepak , Alioglu Mecit Altan , Nagamine Momoka , Kim Myoung Hwan , Ozbolat Ibrahim T 
Published: March 2023

Abstract
Microgels have recently received widespread attention for their applications in a wide array of domains such as tissue engineering, regenerative medicine, and cell and tissue transplantation because of their properties like injectability, modularity, porosity, and the ability to be customized in terms of size, form, and mechanical properties. However, it is still challenging to mass (high-throughput) produce microgels with diverse sizes and tunable properties. Herein, we utilized an air-assisted co-axial device (ACAD) for continuous production of microgels in a high-throughput manner. To test its robustness, microgels of multiple hydrogels and their combination, including alginate (Alg), gelatin methacrylate (GelMA) and Alg–GelMA, were formed at a maximum production rate of ∼65 000 microgels s−1 while retaining circularity and a size range of 50–500 µm based on varying air pressure levels. The ACAD platform allowed single and multiple cell encapsulation with 74 ± 6% efficiency. These microgels illustrated appealing rheological properties such as yield stress, viscosity, and shear modulus for bioprinting applications. Specifically, Alg microgels have the potential to be used as a sacrificial support bath while GelMA microgels have potential for direct extrusion both on their own or when loaded in a bulk GelMA hydrogel. Generated microgels showed high cell viability (>90%) and proliferation of MDA-MB-231 and human dermal fibroblasts over seven days in both encapsulation and scaffolding applications, particularly for GelMA microgels. The developed strategy provides a facile and rapid approach without any complex or expensive consumables and accessories for scalable high-throughput microgel production for cell therapy, tissue regeneration and 3D bioprinting applications.
Sulfur isotope engineering of exciton and lattice dynamics in

MoS2

monolayers
Authors: Varade Vaibhav , Haider Golam , Pirker Luka , Panda Jaganandha , Sykora Jan , Frank Otakar , Kalbac Martin , Vejpravova Jana 
Published: March 2023

Abstract
The optoelectronic properties of two-dimensional (2D) atomically thin transition metal dichalcogenides (TMDCs) are predominantly governed by excitons and their interaction with lattice and various physical fields. Therefore, it is essential to understand the role played by excitons in the light–matter interaction processes. We introduce sulfur isotope engineering for the first time in the TMDC family, which enables us to disentangle the crucial role played by phonons in the optoelectronic properties of TMDCs. With the gradual introduction of heavier isotopes in chemical vapor deposition growth

M
o
S

2

, we discovered a systematic variation of lattice phonon energy. Consequently, the transient and steady-state spontaneous photoluminescence spectra were dramatically altered. Accordingly, the isotopically pure monolayers (MLs) show more intrinsic properties with enhanced emission efficiencies than isotopically mixed

M
o
S

2

MLs. The variation of the free exciton energies with temperature for the isotopically modified

M
o
S

2

MLs can be well described by Varshini’s equation. Along with the enormous significance for practical applications, our study provides a unique platform to understand the fundamentals of optical processes in 2D systems, where the lattice-related quasi-particles play a dominant role.
Optimizing Treatment for Human Immunodeficiency Virus to Improve Clinical Outcomes Using Precision Medicine
Authors: Jetsupphasuk Michael , Hudgens Michael G , Lu Haidong , Cole Stephen R , Edwards Jessie K , Adimora Adaora A , Althoff Keri N , Silverberg Michael J , Rebeiro Peter F , Lima Viviane D , Marconi Vincent C , Sterling Timothy R , Horberg Michael A , Gill M John , Kitahata Mari M , Moore Richard D , Lang Raynell , Gebo Kelly , Rabkin Charles , Eron Joseph J 
Published: March 2023

AbstractIn first-line antiretroviral therapy (ART) for human immunodeficiency virus (HIV) treatment, some subgroups of patients may respond better to an efavirenz-based regimen than an integrase strand transfer inhibitor (InSTI)-based regimen, or vice versa, due to patient characteristics modifying treatment effects. Using data based on nearly 16,000 patients from the North American AIDS Cohort Collaboration on Research and Design from 2009–2016, statistical methods for precision medicine were employed to estimate an optimal treatment rule that minimizes the 5-year risk of the composite outcome of acquired immune deficiency syndrome (AIDS)-defining illnesses, serious non-AIDS events, and all-cause mortality. The treatment rules considered were functions that recommend either an efavirenz- or InSTI-based regimen conditional on baseline patient characteristics such as demographic information, laboratory results, and health history. The estimated 5-year risk under the estimated optimal treatment rule was 10.0% (95% confidence interval (CI): 8.6, 11.3), corresponding to an absolute risk reduction of 2.3% (95% CI: 0.9, 3.8) when compared with recommending an efavirenz-based regimen for all patients and 2.6% (95% CI: 1.0, 4.2) when compared with recommending an InSTI-based regimen for all. Tailoring ART to individual patient characteristics may reduce 5-year risk of the composite outcome compared with assigning all patients the same drug regimen.
Spared speech fluency is associated with increased functional connectivity in the speech production network in semantic variant primary progressive aphasia
Authors: Montembeault Maxime , Miller Zachary A , Geraudie Amandine , Pressman Peter , Slegers Antoine , Millanski Carly , Licata Abigail , Ratnasiri Buddhika , Mandelli Maria Luisa , Henry Maya , Cobigo Yann , Rosen Howard J , Miller Bruce L , Brambati Simona M , Gorno-Tempini Maria Luisa , Battistella Giovanni 
Published: March 2023

AbstractSemantic variant primary progressive aphasia is a clinical syndrome characterized by marked semantic deficits, anterior temporal lobe atrophy and reduced connectivity within a distributed set of regions belonging to the functional network associated with semantic processing. However, to fully depict the clinical signature of semantic variant primary progressive aphasia, it is necessary to also characterize preserved neural networks and linguistic abilities, such as those subserving speech production. In this case-control observational study, we employed whole-brain seed-based connectivity on task-free MRI data of 32 semantic variant primary progressive aphasia patients and 46 healthy controls to investigate the functional connectivity of the speech production network and its relationship with the underlying grey matter. We investigated brain-behaviour correlations with speech fluency measures collected through clinical tests (verbal agility) and connected speech (speech rate and articulation rate). As a control network, we also investigated functional connectivity within the affected semantic network. Patients presented with increased connectivity in the speech production network between left inferior frontal and supramarginal regions, independent of underlying grey matter volume. In semantic variant primary progressive aphasia patients, preserved (verbal agility) and increased (articulation rate) speech fluency measures correlated with increased connectivity between inferior frontal and supramarginal regions. As expected, patients demonstrated decreased functional connectivity in the semantic network (dependent on the underlying grey matter atrophy) associated with average nouns' age of acquisition during connected speech. Collectively, these results provide a compelling model for studying compensation mechanisms in response to disease that might inform the design of future rehabilitation strategies in semantic variant primary progressive aphasia.