bluuebunny/crossref_metadata_2025_split huggingface dataset:
Price optimization in supply chain agreements: a comparative analysis of buyback and put option contracts for inventory risk management
Authors: Farzadmehr Mehran , Taleizadeh Ata Allah , Thaichon Park 
Published: October 2024

AbstractThis paper aims to provide a model of a supply chain in the integrated system and obtain its optimal decision variables. The paper introduces buyback and put option contracts to reduce inventory risk. These contracts were compared in three different cases via a numerical analysis approach. In the first case, the holding cost (h) of a retailer for surplus orders in the buyback contract is equal to the option price (o) in the put option model. The relationship between exercise price (e) in the put option model and buyback price (b) in the buyback contract was obtained by comparing the optimal values in the models. This study found that the exercise price in the put option contract will be greater than the buyback price. Furthermore, it is more likely that the retailer gave more benefits under the buyback agreement than the time the retailer chooses the put option contract. Therefore, it can be concluded that if the retailer chooses the buyback agreement in this situation, can gain more benefits. The study provides essential managerial insights to compare agreements and presents recommendations to choose a suitable contract.
Influence of different composite curing agents on the rapid curing characteristics and mechanical performance of epoxy resins
Authors: Xu Ting , An Lizhou , Yin Qin , Jiao Yumin , Zhou You , Tan Yefa 
Published: October 2024

To address the need for rapid in situ plugging and repair of hydraulic machinery and chemical pipelines and to resolve the issue that a single curing agent cannot simultaneously achieve rapid curing and excellent mechanical properties in epoxy resin systems, this study explores the use of composite curing agents. In particular, effective formulations are designed for mixing fast and slow curing agents, studying their effects on the curing behavior, curing quality, and mechanical properties of epoxy resins and elucidating their influence mechanisms. The results indicate that three resin systems meet the requirements for rapid curing (curing time within 30 min): 4A6B/EP, 2A8B/EP, and 0A10B/EP. Among them, 4A6B/EP exhibits the best curing quality and mechanical properties. In particular, 4A6B/EP demonstrates the lowest values of curing shrinkage rate, internal curing stress, average pore size, porosity, and cumulative pore volume. Its low internal stress and low defects reduce the stress concentration, while more efficient deflection and branching of internal cracks enhance its deformation resistance. Consequently, 4A6B/EP shows the highest microhardness, fracture toughness, tensile strength, Young’s modulus, and elongation after fracture. Based on the comprehensive evaluation of rapid curing characteristics and mechanical properties, the 4A6B/EP system offers the best overall performance. Therefore, it is recommended as the preferred resin system for rapid plugging and repair of composite materials, providing a theoretical basis and technical support for boosting the application of epoxy resin composite materials in high-tech fields.
The role of the human-canine bond in recovery from substance use disorder: A scoping review and narrative synthesis
Authors: Dell Colleen , Kosteniuk Brynn , Doi Carolyn , Townsend Courtney , Cook Alexis , Chalmers Darlene , Butt Peter 
Published: October 2024

Abstract
Recovery from substance use disorder (SUD) is a personal journey that includes connection with self and others, including animals – known as the human-animal bond (HAB). Research shows that canines are the most common type of animal integrated into animal-assisted interventions to support people with SUD. Yet, to our knowledge, there has been no review of the evidence on the role of canines in SUD recovery. The scoping review’s objective was to examine the literature on the human-canine bond’s role in recovery from SUD among adolescents and adults, including how the bond may help or hinder recovery. The review considered records that described the human-canine bond with respect to recovery in any recovery- or therapy-related setting globally. Eleven databases were searched, and 32 sources met inclusion criteria that involved companion dogs, therapy dogs, service/assistance, dogs and others. The thematic analysis across records identified three key benefits of the human-canine bond in SUD recovery: (1) a source of social connection and a conduit for human-to-human social connection, (2) a calming and comforting effect on individuals with SUD that can reduce stress and anxiety, and (3) the human-canine bond as a motivating factor for positive change. Through these themes, the bond may help divert substance use-related thoughts and reduce cravings, bolster engagement in treatment and recovery, and help to decrease and prevent substance use. However, a few articles found no role or a limited role of the human-canine bond in recovery, and challenges and considerations were reported, particularly for marginalized populations (e.g., related to obtaining and maintaining housing, employment, and SUD treatment). Most of the records discussed canine welfare in some capacity. Calls were also made for improved policy, public awareness, and animal welfare.
Key comparison BIPM.RI(I)-K8 of high dose-rate 192Ir brachytherapy standards for reference air kerma rate of the LNE-LNHB and the BIPM
Authors: Kessler C , Hernandez-Elvira V 
Published: October 2024

Main text
An indirect comparison of the standards for reference air kerma rate for 192Ir high dose rate (HDR) brachytherapy sources of the Laboratoire National Henri Becquerel (LNE-LNHB), France, and of the Bureau International des Poids et Mesures (BIPM) was carried out at the LNE-LNHB in May 2024. The comparison result, based on the calibration coefficients for a transfer standard and expressed as a ratio of the LNE-LNHB and the BIPM standards for reference air kerma rate, is 0.9990 with a combined standard uncertainty of 0.0071.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCRI, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Introduction and evaluation of size-specific DLP for radiation dose estimation in CT examinations
Authors: Dendo Yutaka , Abe Keisuke , Onodera Shu , Kayano Shingo , Ota Hideki , Takase Kei 
Published: October 2024

Abstract
The increased utilization of computed tomography (CT) has raised concerns about patient radiation exposure. Effective dose (ED), which requires precise estimation, is crucial for assessing and managing these risks. Traditional ED estimation methods, which are based on the dose-length product (DLP), often lack accuracy due to variations in patient size and anatomy. This study aims to evaluate the efficacy of size-specific DLP (SS-DLP), a novel metric that combines the size-specific dose estimate (SSDE) with scan length, to provide a more accurate estimation of radiation exposure from CT examinations. Focusing on adult chest-abdomen-pelvis scans, we calculated SSDE and SS-DLP and utilized two simulation tools, Radimetrics and WAZA-ARI, for a detailed analysis. Our findings indicate that SS-DLP is highly correlated with EDs from Monte Carlo simulations, suggesting its reliability. Additionally, SS-DLP showed a moderate reduction in errors based on patient sex and body mass index compared to traditional DLP-based methods. Thus, SS-DLP offers a more accurate and personalized radiation exposure estimate, potentially enhancing patient safety.
Reliable comparison of multi-directional mechanical properties for biomimetic circle arc honeycombs
Authors: Yu Junxian , Zheng Zhaoyang , Yu Wei , Wang Ziyue , Xiao Junhua , Liang Xi 
Published: October 2024

Abstract
Curved honeycombs, inspired by biomimetic strategies, often have better mechanical properties and a wider range of tunability compared to straight honeycombs. Research into these curved honeycombs is growing, but few studies compare multiple designs or consider isotropy. This study replaces straight walls with circle arc walls in five classic honeycomb designs, creating curved honeycombs for analysis. We validated our numerical modeling in ANSYS by testing 3D printed specimens. We evaluated the Young’s modulus, yield strength, Poisson’s ratio, and energy absorption (EA*)of circle arc hexagon (CAH), circle arc square, circle arc triangle, circle arc re-entrant, and circle arc double-V (CAD) under different loading conditions. Results showed CAH has the best EA* and high isotropy, with all isotropic factors below 0.1. CAD shows a negative Poisson’s ratio effect in all directions. These findings offer benchmarks for future curved honeycomb research.
Three-cavity system with multiple magnomechanically induced transparency
Authors: Din Ghaisud , Abbas Muqaddar , Zhang Pei 
Published: October 2024

Abstract
This paper presents the characteristics of a weak probe field in a three-connected cavity system. In this system, a microwave cavity contains a yittrium iron garnet sphere that is driven by a strong pump and a weak probe optical fields, and the magnon is driven by a weak microwave source. The other two cavities are empty and are coupled to the first cavity with specific coupling strengths. This setup leads to the observation of multiple magnomechanically induced transparency phenomena by varying quantum parameters g
ma, g
mb, and the coupling strengths between cavities J
1 and J
2. The study of these phenomena in the three coupled cavities can potentially contribute to advancements in quantum transduction and future technologies.
Characters are quantum numbers
Authors: Lemus Renato 
Published: October 2024

Abstract
Character tables represent an invaluable tool for applications of group theory in physics and chemistry. They are useful, among other applications, to carry out the projection of functions which later on constitute the basis to simplify the calculations and establish the selection rules. However, the physical interpretation of the character tables as quantum numbers is not visible. In this contribution we prove that the characters are indeed conserved quantities associated with the discrete symmetry of a molecule. In the process, the eigenfunction method of symmetry projection emerges in natural form, an approach not discussed in traditional textbooks. A non trivial example involving the octahedral group

O

h

is presented.
Simulating the Universe from the cosmological horizon to halo scales
Authors: Montandon Thomas , Hahn Oliver , Stahl Clément 
Published: October 2024

AbstractUltra-large scales close to the cosmological horizon will be probed by the upcoming observational campaigns. They hold the promise to constrain single-field inflation as well as general relativity, but in order to include them in the forthcoming analyses, their modelling has to be robust. In particular, general relativistic effects may be mistaken for primordial signals, and no consensus has emerged either from analytical modelling nor from the numerical route, obstructed by the large dynamical range to be simulated. In this work, we present a numerical technique to overcome the latter limitation: we compute the general relativistic displacement field with the N-body relativistic codegevolutionand combine it with the accurate Newtonian simulationGadget-4. This combination leads to an effective simulation reproducing the desired behaviour at the level of the matter power spectrum and bispectrum. We then measure, for the first time in a simulation, the relativistic scale-dependent bias in Poisson gauge; at redshiftz= 0, we findb1GR= -8.1 ± 2.8. Our results at the field level are only valid in the Poisson gauge and need to be complemented with a relativistic ray tracing algorithm to compute the number count observable.
Multi-component decompositions, linear superpositions, and new nonlinear integrable coupled KdV-type systems
Authors: Hao Xiazhi , Lou S Y 
Published: October 2024

Abstract
In the realm of nonlinear integrable systems, the presence of decompositions facilitates the establishment of linear superposition solutions and the derivation of novel coupled systems exhibiting nonlinear integrability. By focusing on single-component decompositions within the potential BKP hierarchy, it has been observed that specific linear superpositions of decomposition solutions remain consistent with the underlying equations. Moreover, through the implementation of multi-component decompositions within the potential BKP hierarchy, successful endeavors have been undertaken to formulate linear superposition solutions and novel coupled KdV-type systems that resist decoupling via alterations in dependent variables.
Hyperbolic map unravels eight regions in temperature volatility regionalization of Mainland China
Authors: Song 宋 Yuxuan 雨轩 , Gu 顾 Changgui 长贵 , Zheng 郑 Muhua 木华 , Feng 冯 Aixia 爱霞 , Xi 席 Yufei 雨菲 , Wang 王 Haiying 海英 , Yang 杨 Huijie 会杰 
Published: October 2024

Abstract
Abrupt temperature volatility has detrimental effects on daily activities, macroeconomic growth, and human health. Predicting abrupt temperature volatility and thus diminishing its negative impacts can be achieved by exploring homogeneous regions of temperature volatility and analyzing the driving factors. To investigate the regionalization of temperature volatility in Mainland China, a network constructed by the cosine similarity of temperature volatility series from Mainland China was embedded in hyperbolic space. Subsequently, we partitioned the network on the hyperbolic map using the critical gap method and then found eight regions in all. Ultimately, a network of communities was constructed while the interaction among communities was quantified. This yields a perspective of temperature volatility regionalization that can accurately reflect factors including altitude, climate type, and the geographic location of mountains. Further analysis demonstrates that the regionalization in the hyperbolic map is distinct from provinces and has a realistic basis: communities in southwest China show strong correlations due to the temperature sensitivity to altitude, and communities in northern China show a convergence in the area of Dingxi, Gansu, mainly owing to the strong temperature sensitivity to climate types. As a consequence, node distributions and community divisions in the hyperbolic map can offer new insights into the regionalization of temperature volatility in Mainland China. The results demonstrate the potential of hyperbolic embedding of complex networks in forecasting future node associations in real-world data.
Analysis of different test techniques of DC circuit breaker
Authors: Zhang Ruike , Xu Feng , Yang Ziyue , Wu Yifei , Wu Wenbo , Wang Song , Huang Xiaoming , Feng Hua 
Published: October 2024

Abstract
Amidst the escalating demand for energy and the proliferation of renewable energy sources, direct current (DC) systems have garnered increasing interest. As pivotal for the safety and reliability of DC systems, testing DC circuit breakers is a critical step to evaluate their performance and dependability. This study focuses on the breaking test method for medium and high-voltage DC circuit breakers. It compares and evaluates the current waveform, recovery voltage, and energy dissipation across various test circuit methodologies during the breaking process of DC circuit breakers and assesses the suitability of test methods across different voltage levels.
Disaster Rescue Drone Based on YOLOv4 Algorithm
Authors: Huang Weicheng , Li Weijie , Yang Liming , Zhang Wenqian , Wang Li 
Published: October 2024

Abstract
With the rapid development of artificial intelligence technology, the application of unmanned aerial vehicles (UAV) in disaster relief is becoming more widespread. This article presents a disaster relief UAV based on the YOLOv4 algorithm, aimed at improving the speed and efficiency of emergency response and rescue. The article designs and implements a UAV integrated with the YOLOv4 object detection algorithm, used for real-time identification and location of people within disaster areas and for deploying rescue materials using a mechanical claw. Through experiments and comparative verification, the system has demonstrated high-efficiency in target detection and tracking in various disaster environments.
A real-time cardiac output monitoring system based on photoplethysmography
Authors: Hu Hepeng , Zhuang Junyue , Zhu Ende , Gao Jiyang , Gao Bo 
Published: October 2024

Abstract
Cardiac output is a critical parameter for assessing the cardiovascular system, and thermodilution is commonly used as CO monitoring in clinical settings. Thermodilution cannot be applied in continuous monitoring due to invasion. Photoplethysmography signal originates from the cardiovascular system. We proposed a CO continuous monitoring system based on photoplethysmography and deep learning method. PPG waveform parameters are extracted during the pre-processing stage, and fed into the deep learning model to calculate cardiac output. The system employs an analog front-end chip and an HPS_FPGA architecture to capture PPG signals. The pre-processing and the deep learning model-driven algorithm are designed in Python on the custom Linux for HPS. It realizes the real-time processing of the PPG signals and the continuous monitoring of cardiac output. Validated by an FPGA, the system reported average cardiac output monitoring results of approximately 5.09 L/min at rest and about 7.39 L/min after exercise.
UAV trajectory planning in NOMA-aided UAV-mounted RIS networks: A budgeted Multi-armed bandit approach
Authors: Hosny Ramez , Hashima Sherief , Hatano Kohei , Zaki Rokaia M. , El Halawany Basem M. 
Published: October 2024

Abstract
Reconfigurable Intelligent Surface (RIS) and Non-Orthogonal Multiple Access (NOMA) can be used as supporting technologies for driving the effective development of Unmanned Aerial Vehicles (UAV) communication systems. Herein, both technologies are combined to widen the millimeter-wave Base Stations (mmWave-BS) coverage range. In this work, we consider UAV Trajectory Planning (UTP) problem to enhance the performance of a NOMA-based UAV-mounted RIS communication network. The problem is formulated using two Budgeted Multi-Armed Bandits (BMAB) schemes. BMAB is a variant of the classical MAB algorithm that considers the random cost of selecting an arm. The UAV performs as a bandit player attempting to maximize its achievable rate (i.e., reward) via accessing different grids in its trajectory. This reward is accomplished simultaneously while minimizing the energy/cost of flying the UAV from one grid to another to preserve its battery lifetime. Hence, two variants of the Budgeted upper confidence bound (BUCB), namely the BUCB1 and BUCB2, are investigated, where the simulations show that both algorithms outperform other benchmarks.
YOLO-EF: A lightweight YOLOv7 PCB defect detection algorithm
Authors: Chen Yu , Song Xudong , Song Liang , Li Changxian 
Published: October 2024

Abstract
This study addresses the challenge of accurate PCB defect detection, considering the computational complexity and excessive model parameters associated with existing methods. To mitigate these issues, we propose an enhanced PCB surface defect detection method called YOLO-EF, which is built upon the YOLOv7 architecture. Firstly, we replace the backbone of YOLOv7 with the lightweight Efficient FormerV2 module. This replacement reduces both the model volume and computational requirements. Secondly, the dynamic head module is introduced to unify the target detection head and improve its performance. Finally, the Wise-IoUv3 function is used to suppress the influence of low-quality samples on the model performance. The experimental results show that the proposed model improves by 2.85% in mAP over the original model. Model computation is reduced from 106.5 GFLOPs to 44.3 GFLOPs. Our YOLO-EF model achieves an optimal balance in terms of precision, computational efficiency, and detection speed.
A miniaturized polarization-insensitive energy absorption metasurface
Authors: Zhen Fajian , Liu Yunqing 
Published: October 2024

Abstract
A novel metasurface structure for energy absorption is proposed. The metasurface structure unit is composed of four bidirectional arrow patches, which are connected by load. In order to achieve unit miniaturization, a humanoid slot structure is proposed, which reduces the unit size to 0.23 λ. The designed metasurface structure can capture more than 90% of the energy at 5.8 GHz, has the characteristics of polarization insensitive, and can maintain 80% of the energy capture efficiency between 0 and 45°. The simulation results show that the structure is nonlinear to the load and can be applied to the design of rectification metasurface structures.
Design and implementation of a multifunctional desktop robot for computer peripherals
Authors: Li Huanzhou , Xu Hongxia , Zhan Minghui 
Published: October 2024

Abstract
As an important component of the intelligent machinery field, desktop robots not only enrich people’s entertainment lives but are also gradually expanding into applications in education, healthcare, and other fields. However, existing products often struggle to meet the increasingly diverse needs due to short battery life and limited computing resources. In response to this challenge, this study designs a multifunctional desktop robot that can be used as a computer peripheral, which significantly improves power supply and computing capabilities. The design uses the STM32F4 series microcontroller as the main control chip, combined with high-performance servos and their self-developed driver boards, to achieve precise motion control. By integrating USB-HS PHY and USB-CDC protocol, the communication efficiency with the computer is greatly improved, and new screen-driving technology is developed using open-source routines, thus optimizing the user interaction experience. In addition, an innovative adaptive algorithm is incorporated into the firmware program, enhancing the robot’s working stability in different environments. Through systematic hardware debugging and software testing, the robot can achieve efficient performance and stable response when executing complex tasks. This research will promote the expansion of desktop robot technology into broader application fields and support future intelligent work and lifestyle.
Global path planning of unmanned ship island region based on improved A* algorithm
Authors: Fu Hongyu , Shao Guoyu , Zhao Lei 
Published: October 2024

Abstract
To solve the path planning problem for unmanned boats in island and reef areas, this paper introduces an adaptive heuristic function specifically for island and reef areas based on the traditional A* algorithm, in order to effectively handle the obstacle avoidance problem. A new cost function is designed to balance the relationship between path length and safety. The sea chart is converted into a path planning map by using the grid method, and the path planning is carried out. The paper compares the performance of the new path-planning algorithm with other path-planning algorithms through experiments, and the improved A* algorithm for global path planning of unmanned boats in island and reef areas shows excellent performance in various complex environments, effectively improving the island and reef area navigation efficiency.