bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient implementation of quantum permutation algorithm using a polar SrO molecule in pendular states
Authors: Hu Jie-Ru , Zhang Zuo-Yuan , Liu Jin-Ming 
Published: October 2024

Abstract
Quantum algorithms offer more enhanced computational efficiency in comparison to their classical counterparts when solving specific tasks. In this study, we implement the quantum permutation algorithm utilizing a polar molecule within an external electric field. The selection of the molecular qutrit involves the utilization of field-dressed states generated through the pendular modes of SrO. Through the application of multi-target optimal control theory, we strategically design microwave pulses to execute logical operations, including Fourier transform, oracle U

f
operation, and inverse Fourier transform within a three-level molecular qutrit structure. The observed high fidelity of our outcomes is intricately linked to the concept of the quantum speed limit, which quantifies the maximum speed of quantum state manipulation. Subsequently, we design the optimized pulse sequence to successfully simulate the quantum permutation algorithm on a single SrO molecule, achieving remarkable fidelity. Consequently, a quantum circuit comprising a single qutrit suffices to determine permutation parity with just a single function evaluation. Therefore, our results indicate that the optimal control theory can be well applied to the quantum computation of polar molecular systems.
A hybrid method integrating Green’s function Monte Carlo and projected entangled pair states
Authors: Lin 林 He-Yu 赫羽 , He 贺 Rong-Qiang 荣强 , Guo 郭 Yibin 奕斌 , Lu 卢 Zhong-Yi 仲毅 
Published: October 2024

Abstract
This paper introduces a hybrid approach combining Green’s function Monte Carlo (GFMC) method with projected entangled pair state (PEPS) ansatz. This hybrid method regards PEPS as a trial state and a guiding wave function in GFMC. By leveraging PEPS’s proficiency in capturing quantum state entanglement and GFMC’s efficient parallel architecture, the hybrid method is well-suited for the accurate and efficient treatment of frustrated quantum spin systems. As a benchmark, we applied this approach to study the frustrated J
1–J
2 Heisenberg model on a square lattice with periodic boundary conditions (PBCs). Compared with other numerical methods, our approach integrating PEPS and GFMC shows competitive accuracy in the performance of ground-state energy. This paper provides systematic and comprehensive discussion of the approach of our previous work [Phys. Rev. B
109 235133 (2024)].
Influence of crystal dimension on performance of spherical crystal self-emission imager
Authors: Zhang 张 Chenglong 成龙 , Zhang 张 Yihang 翌航 , Gu 谷 Haochen 昊琛 , Chen 陈 Nuo 诺 , Yuan 远 Xiaohui 晓辉 , Zhang 张 Zhe 喆 , Xu 徐 Miaohua 妙华 , Li 李 Yutong 玉同 , Li 李 Yingjun 英骏 , Zhang 张 Jie 杰 
Published: October 2024

Abstract
The spherical crystal imaging system, noted for its high energy spectral resolution (monochromaticity) and spatial resolution, is extensively applied in high energy density physics and inertial confinement fusion research. This system supports studies on fast electron transport, hydrodynamic instabilities, and implosion dynamics. The x-ray source, produced through laser–plasma interaction, emits a limited number of photons within short time scales, resulting in predominantly photon-starved images. Through ray-tracing simulations, we investigated the impact of varying crystal dimensions on the performance of a spherical crystal self-emission imager. We observed that increasing the crystal dimension leads to higher imaging efficiency but at the expense of monochromaticity, causing broader spectral acceptance and reduced spatial resolution. Furthermore, we presented a theoretical model to estimate the spatial resolution of the imaging system within a specific energy spectrum range, detailing the expressions for the effective size of the crystal. The spatial resolution derived from the model closely matches the numerical simulations.
Research on an Intelligent Perception Data Collection Method
Authors: Meng Qingjia , Guo Wei , Chen Xiaofei , li Kang , Yang Kai 
Published: October 2024

Abstract
This article proposes a sensor anomaly event intelligent perception monitoring technology to address the problem of insufficient intelligent perception of landslides. This method achieves real-time dynamic monitoring of abnormal deformation in landslide disasters from deformation, accelerated deformation to instability and failure stages. This article proposes an algorithm that triggers acquisition by sensing abnormal deformation and adjusts the acquisition frequency autonomously. By embedding the algorithm into the monitoring system, real-time monitoring of abnormal event data of disaster bodies can be achieved. The system achieves low-power sleep monitoring mode by adjusting the working mode. This method provides a good real-time understanding of the dynamic evolution laws of landslide bodies and improves the effectiveness of disaster prevention and reduction.
Nonlinear terminal sliding mode trajectory tracking control algorithm for industrial robots based on dung beetle optimizer
Authors: Tu Yating , Huang Deqi , Zhang Zhenhua , Wu Jianhui , Ye Zikuang 
Published: October 2024

Abstract
To enhance the precision of trajectory tracking control in industrial robots, a nonlinear end-to-end sliding mode trajectory tracking control algorithm for industrial robots based on the dung beetle algorithm is proposed. By employing nonlinear terminal sliding mode control to resolve the issue of inadequate trajectory tracking control performance in industrial robots, and integrating the dung beetle optimizer (DBO) algorithm for control parameter adjustment, significant enhancements are achieved in trajectory tracking accuracy.
YOLO-based thyroid ultrasound for assisted diagnosis
Authors: Yang Xu , Geng Hongliang , Wang Zhilin , Cong Zhibin 
Published: October 2024

Abstract
Real-time intelligent diagnosis of thyroid ultrasound images using deep learning techniques can mitigate the impact of human subjective factors on diagnostic outcomes. Three thousand and fifty-five thyroid ultrasound images were acquired from 205 selected patients aged 10 to 77 years who underwent ultrasound examinations between 2019 and 2023. Each image contained at least one area of thyroid nodules, totaling 3, 088 nodules, including 1, 752 benign and 1, 336 malignant nodules. YOLOV8 is the baseline model for developing an end-to-end architecture for thyroid nodule detection. This architecture automatically identifies nodule lesions in ultrasound images, classifies them as benign or malignant, and enables real-time detection in video frames. The experimental results on 611 clinical thyroid ultrasound images demonstrate that our method can accurately diagnose benign and malignant nodal lesions in thyroid ultrasound with 88.1% and 84.6% accuracy, respectively. The mean average accuracy is as high as 91.1%, indicating a 5.1% improvement compared to the baseline model.
Tailoring emission spectra by using core-shell nanostructures with a random forest algorithm
Authors: Chen Guoping , Jiang Chun 
Published: October 2024

Abstract
We propose a scheme to tailor emission spectra through the engineering of the local density of states by using core-shell nanostructures. A random forest algorithm is used to train a forward model for spectrum prediction and an inverse model for the construction of core-shell nanostructures. From the simulation results, it can be seen that we can predict the spectra very well and achieve good effects for tailoring the emission spectra with core-shell nanostructures based on the established models, eliminating the time-consuming and laborious design process with manual intervention.
SDS-YOLOv8n: A lightweight detection method for flames and smoke
Authors: Guo Shijing , Li Bohan , Zhang Jinjing , Zhu Enjiang , Liang Yan , Sun Jianzhi 
Published: October 2024

Abstract
In flame and smoke image processing scenarios, real-time detection of translucent flames and smoke targets is a difficult task. In the process of optimizing accuracy and speed, this study proposed an SDS-YOLOv8n lightweight detection network by using YOLOv8n as a benchmark. First, SimAM was integrated into the SPPF feature pyramid pooling layer to improve the weight attention of the 3D feature map. Secondly, Slim-Neck is used to replace the neck network layer to reduce the parameters and calculations of the model. Finally, the dynamic upsampling operator DySample was used to improve Slim-Neck, integrated into the YOLOv8n lightweight network. Experimental results on the constructed flames and smoke dataset show that the precision rates increased to 81.7%, recall rates increased to 79.2%, and parameters and calculations were reduced by 8% and 18%, respectively. While reducing computing costs, accuracy is improved, and all indicators surpass comparison methods.
Adaptive anchor learner for object detection
Authors: Wang Xiaobin , Zhu Dekang , Yan Ye 
Published: October 2024

Abstract
There is a growing interest in advancing object detection and its various applications. Promising performance is achieved by using anchor-based detectors while the difficulty is encountered. The performance is sensitive to the hyper-parameters related to anchor boxes, which are manually determined and are task-specific. To address the issue, an anchor learner is proposed in the paper, which automatically learns adaptive anchor from the data, and the difficulty of anchor design for a specific task is thus avoided. Specifically, the method we propose comprises a backbone network and two fully connected branches, and these two branches learn anchor scales and aspects ratios, respectively. We use RGB and ground-truth mask image data as the network input. Importantly, the anchor learner can be embedded into any anchor-based object detector. Experiments are performed on the datasets Visdrone 2019, UAVDT, and DOTA, respectively. Experimental results demonstrate that our proposed method markedly enhances object detection performance.
Research on irregular sponge layout system based on heuristic algorithms
Authors: Zhang Wenle , Chen Tian 
Published: October 2024

Abstract
A layout optimization method that integrates No-Fit Polygons (NFP) positioning and a genetic algorithm is proposed for the two-dimensional irregular sponge packing problem. Firstly, according to the geometric characteristics of the parts, they are classified and encoded to calculate the NFP between part classes, avoiding redundant NFP calculations. Simultaneously, heuristic rules aimed at minimizing the packing height are introduced to provide a comprehensive evaluation function for part positioning strategies, thus improving packing efficiency. Secondly, in the optimization of part sorting, a genetic algorithm is introduced to optimize the sponge packing algorithm. Finally, several standard cases provided by the European Special Interest Group on Cutting and Packing (ESICUP) are used to test the proposed packing method. The results show that compared to the traditional Bottom-Left algorithm, the computational efficiency of the proposed packing method is improved by 4.20% to 22.73%.
Layer multiplexing and DNA based color image encryption
Authors: Zhang Zhenhua , Huang Deqi , Tu Yating , Ye Zikuang 
Published: October 2024

Abstract
A layer multiplexing-based encrypted image scheme for DNA color images is proposed. Firstly, a memristor is added to the Sprott-B chaotic system to make it a fourth-order memristorised hyper-chaotic system. The hyperchaotic system has better pseudo-randomness. The encryption system proposed generates the initial value of the system by SHA3-256 function to achieve “One image, one secret”. The chaotic sequence is generated by a memory hyperchaotic system for encrypting the image. The encryption process includes image zero complements, image chunking, DNA encryption, layer multiplexing, DNA decryption, and improved XOR diffusion. The encrypted images are analyzed by Matlab. The pixel distribution of the encrypted image is verified to be homogeneous by pixel histogram analysis. The encryption system is tested to have good resistance to shear attacks and noise attacks. The encryption system also has a good encryption effect by information entropy test. Experiments show that the encryption system proposed has a short encryption time and decryption time.
Spatial identification of public spaces’ functions: a case study of Bach Dang Wharf Park in Ho Chi Minh City, Vietnam
Authors: Lan N H M , Hung L K , Huong D N T , Van P D B 
Published: October 2024

Abstract
Urban public spaces serve various functions and roles, such as physical, symbolic, ecological, economic, political, social, psychological, and aesthetic. Each function has specific design requirements and holds different meanings for space users. This study aims to identify the location of various functions within Bach Dang Wharf Park, one of the famous central riverside parks of Ho Chi Minh City, Vietnam, and test hypotheses about the concentration of hotspots for each function. To achieve these, we combined participatory GIS methods and face-to-face interviews using quantitative questionnaires and then used SPSS software to examine the relationship between park users’ identification of functions and other factors. We conducted two surveys, each lasting one week, in June 2022 and April 2023, with a total of 223 respondents and 1,413 marked points for park functions. The results showed that how people perceive park functions significantly relates to the characteristics of their park visitation rather than personal information. The hotspots of physical, symbolic, ecological, economic, and political functions appeared with high confidence levels and differed in size and location between the survey times. Meanwhile, in the 2022 survey, hotspots of social function appeared at the old pier near the high-speed boat station and opposite Nguyen Hue walking street. Later in 2023, these areas were mostly concentrated by markers of psychological function. At the same time, hotspots of aesthetic function were recorded in the space in front of the ASEAN flagpole. This approach effectively promotes community involvement in urban planning by better understanding citizens’ needs for public space.
Conflict between Tourism and Conservation at Nui Chua National Park, Ninh Thuan Province, Vietnam
Authors: Le Nguyen H 
Published: October 2024

Abstract
In protected areas, particularly in national parks, tourism management requires a trade-off between ensuring the key values that support conservation and permitting visitors to appreciate those values. This conflict between conservation and tourism exploitation exists in most national parks around the world. Nui Chua National Park is in the most arid region of Vietnam. Despite that, it has a combination of forest, sea, and semi-desert landscapes that put it into the protected area system of Vietnam. Nui Chua National Park is open to tourists for various purposes. As such, the clash between tourism and conservation maintains as an issue at the park. This paper offers some insights about this conflict at Nui Chua National Park and proposes solutions to tackle this matter. The research is conducted using a qualitative approach. The data is collected using expert interview and in-depth interview method. Expert interview is used to extract information from park’s authority and experts. In-depth interview is used to ask the Raglai people who live within the park’s boundary and participate in some tourism activities. The results suggest that the conflict between conservation and tourism exploitation is in existence but not intensively. The author proposes a more scientific approach in managing tourist activities at Nui Chua National Park.
Factors Affecting the Students’ Usage Intention towards Electric Transportation in Ho Chi Minh City, Vietnam
Authors: Nho TT N , Vy N T 
Published: October 2024

Abstract
Emissions from vehicles are increasingly causing serious consequences to the environment. Therefore, most countries around the world have implemented action plans to reduce and prevent such a bad situation. One of the most popular solutions is electrification of the transportation system. Ho Chi Minh City is no exception to that trend by deploying electric transportation with a variety of vehicles. However, the level of social consumption of this friendly means of transportation is still limited, including among students. This current article is aimed at identifying factors that affect students’ intention to use electric transportation, including: (1) Personal factors (environmental attitude, green consumption attitude, knowledge, perception towards green products, environmental responsibility, capabilities), (2) interpersonal factors (social values) and (2) external factors (public policy, availability, price). By using questionnaires, the research carried out a direct survey of 300 students studying at Vietnam National University, Ho Chi Minh City. Research results show that public policy, green consumption attitudes, environmental responsibility, and social values have a significant relationship with student’s intention to use electric transportation, in which public policy is the biggest motivator. From the research results, the paper is solutions to promote use aimed at improving environmental quality.
Indigenous Knowledge in Tourism Development: The Case of Hô River Island, Tra Vinh Province, Vietnam
Authors: Van Chat Nguyen 
Published: October 2024

Abstract
Climate change is affecting various aspects people’s lives in the Mekong Delta, Vietnam, especially those who are living in the low-elevation terrain such as small river islands. Some studies revealed that indigenous knowledge can assist local people in mitigating the damage to agricultural production caused by climate change. Thus, this paper analyzes the application of indigenous knowledge of the people in Hô Island, Tra Vinh province in tourism development in the context of climate change. The qualitative approach was utilized in this paper including 35 semi-in-depth interviews and participant observations in 13 events. The results showed that indigenous knowledge not only greatly contributed to creating impressive tourism products and services but also formed secondary livelihoods aside from agriculture, which improved the living standards for the people in Hô Island. This research implies that there is a need for policies and training courses to raise general awareness of the adaptation of indigenous knowledge in economic development, and particularly, tourism development in vulnerable geographic areas (such as small river islands) in the context of climate change observed in the Mekong Delta.
Regional Governance in Ho Chi Minh City Metropolitan Area: Mechanisms and Challenges
Authors: Truong T H , Khanh N N 
Published: October 2024

Abstract
This article explores regional governance in Ho Chi Minh City Metropolitan Area, a mechanism established by the central government to encourage collaboration among local authorities in the context of this metropolitan area becoming a large polycentric metropolitan region. We employ the content analysis method, collect and analyze secondary data, including theoretical research articles, legal documents, research papers, and news reports etc, to assess current regional governance mechanisms, identify challenges, and propose solutions to enhance the effectiveness of governance in Ho Chi Minh City Metropolitan Area. The regional governance mechanism includes a Central Steering Committee directing a Local Council at the regional level. The research results indicate that the current regional governance mechanism is characterized by a top-down approach, with provinces within the metropolitan area being under the direct management of the central government, lacking horizontal coordination among local authorities. This leads to various issues and challenges such as sluggish operation, inefficiency, and a lack of encouragement for voluntary collaboration among localities. Therefore, in the future, it is essential to introduce innovations in the governance of this metropolitan area.
Context-aware coupler reconfiguration for tunable coupler-based superconducting quantum computers
Authors: Hour Leanghok , Heng Sengthai , Heng Sovanmonynuth , Go Myeongseong , Han Youngsun 
Published: October 2024

Abstract
Crosstalk, caused by unwanted interactions from the surrounding environment, remains a fundamental challenge in existing superconducting quantum computers (SQCs). We propose a method for qubit placement, connectivity, and logical qubit allocation on tunable-coupler SQCs to eliminate unnecessary qubit connections and optimize resources while reducing crosstalk errors. Existing mitigation methods carry trade-offs, like increasing qubit connectivity or software-based gate scheduling. Our method, the Context-Aware COupler REconfiguration (CA-CORE) compilation method, aligns with application-specific design principles. It optimizes the qubit connections for improved SQC performance, leveraging tunable couplers. Through contextual analysis of qubit correlations, we configure an efficient coupling map considering SQC constraints. We then apply the SWAP-based Bidirectional Heuristic Search (SABRE) qubit mapping method and crosstalk-adaptive scheduling to further optimize the quantum circuit. Our architecture reduces depth by an average of 18% and 27%, and by up to 50% and 60%, compared to lattice and heavy-hex architectures, respectively. With crosstalk optimization through adaptive scheduling, we achieve performance improvements of 35%, 20%, and 160% on fully-enabled grid, lattice, and heavy-hex topologies, respectively.
A comprehensive study on a tapered Paul trap: from design to potential applications
Authors: Deng Bo , Göb Moritz , Masuhr Max , Roßnagel Johannes , Jacob Georg , Wang Daqing , Singer Kilian 
Published: October 2024

Abstract
We present a tapered Paul trap whose radio frequency electrodes are inclined to the symmetric axis of the endcap electrodes, resulting in a funnel-shaped trapping potential. With this configuration, a charged particle confined in this trap has its radial degrees of freedom coupled to that of the axial direction. The same design was successfully used to experimentally realize a single-atom heat engine, and with this setup amplification of zeptonewton forces was implemented. In this paper, we show the design, implementation, and characterization of such an ion trap in detail. This system offers a high level of control over the ion’s motion. Its novel features promise applications in the field of quantum thermodynamics, quantum sensing, and quantum information.