bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the strategies for collision avoidance of multi‐UAV with three dimensional formation in combination of consensus algorithm and uniform flow
Authors: Xu Wei , Cao Ning 
Published: July 2023

AbstractThe paper proposes the method of uniform flow loading the improved consensus algorithm to achieve obstacle avoidance for multi‐UAV with 3‐D formation. In view of that the flow function is generally only applicable to two dimensional flow field, dimension reduction is to treat multi‐UAV formation as each UAV flows around along the circular surface of the projected cylinder of spherical obstacle at its different heights. To formation guaranteeing the smooth realization of obstacle avoidance of multi‐UAV formation centered on the leader, it is used the tactics of virtually expanding the radius of these static or moving equivalent cylindrical obstacles to reserve a certain space. The innovation of this strategy is to further reduce the possibility of collision between UAV formation and the edge of obstacles, meanwhile the problem of multi‐UAV formation avoiding obstacles is transformed into the problem of collision avoidance navigation for the leader treated as a particle. It is considered collision avoidance for multi‐UAV formation under three scenarios assumed are the most common situations, and the simulation experimental results of these scenarios are demonstrated on the validity of the designed experiments based on these algorithms.
High‐frequency square‐wave voltage injection position sensorless control method using single current sensor
Authors: Lin Zhichen , Chen Wei , Yan Yan , Wang Zhiqiang , Shi Tingna , Xia Changliang 
Published: July 2023

AbstractHigh‐frequency (HF) square‐wave voltage injection position sensorless control method for interior permanent magnet synchronous motor (IPMSM) is widely utilised in zero and low speed range due to its good dynamic performance and easy implementation. However, this method relies on the sampling accuracy of current sensors for rotor position estimation. To overcome this restriction, an HF square‐wave voltage injection position sensorless control method for IPMSM using a single current sensor (SCS) is proposed. Firstly, the impact of current sampling errors on HF square‐wave voltage injection position sensorless control is analysed, and it is concluded that the scaling errors of current sensors will cause the estimated position to oscillate at twice the fundamental frequency. Based on this conclusion, the phase currents reconstruction technology with SCS is adopted to avoid the impact of scaling errors on rotor position estimation. To reconstruct the phase currents containing HF component, a PWM cycle is divided into two parts, sampling stage and injection stage. By this way, the impact of HF square‐wave voltage injection on current reconstruction can be avoided. Then, the rotor position estimation is realised. The experiments are performed on a 20‐kW IPMSM platform and the results verify the effectiveness of the proposed method.
Coordinated planning of charging swapping stations and active distribution network based on EV spatial‐temporal load forecasting
Authors: He Chenke , Zhu Jizhong , Borghetti Alberto , Liu Yun , Li Shenglin 
Published: July 2023

AbstractElectric vehicles (EVs) charging swapping stations (CSSs), as well as multi‐functional integrated charging and swapping facilities (CSFs), have become important to reduce the impact of e‐mobility on the electric power distribution system. This paper presents a coordinated planning optimization strategy for CSSs/CSFs and active distribution networks (AND) that includes distributed generation. The approach is based on the application of a specifically developed spatial‐temporal load forecasting method of both plug‐in EVs (PEVs) and swapping EVs (SEVs). The approach is formulated as a mathematical programming optimization model that provides the location and sizing of new CSSs, the best active distribution network topology, the required distributed generation, and substation capacities. The developed model is solved using CPLEX, and its characteristics and performances are evaluated through a realistic case study.
Learnable interpolation and extrapolation network for fuzzy pulmonary lobe segmentation
Authors: Fan Xiaochen , Xu Xin , Feng Jianxing , Huang Haixia , Zuo Xiang , Xu Guohou , Ma Guanghui , Chen Bin , Wu Jianbin , Huang Yinhua , Luo Yang 
Published: July 2023

AbstractPulmonary lobe segmentation is an important prerequisite for accurately quantifying pulmonary damage in many pulmonary diseases and planning treatment. However, due to the incomplete lobar structures and morphological changes caused by diseases, the lobe segmentation still encounters great challenges. In this study, a Learnable Interpolation and Extrapolation Network (LIE‐Net) is proposed to form complete and consecutive fissure surfaces by learning to extract information of the fissures from existing fissure points and absent points (unsegmented points belonging to fissures) to predict the z coordinate of the absent fissure points. The completed pulmonary fissures are further used for accurate pulmonary lobe segmentation. Specifically, LIE‐Net takes the coordinate information of existing fissure points (their (x, y, z) coordinates) and absent fissure points (their (x, y) coordinates) as two independent inputs, and predicts the z coordinates of absent points. The proposed LIE‐Net makes voxel‐wise predictions based on the spatial structure characteristics of the lung fissure, and is able to provide a consecutive fissure surface in space. According to the evaluation of radiologists, the lobe segmentation performance was remarkably enhanced in approximately 76% of patients in our additional dataset after the application of LIE‐Net, especially for those cases with large‐scale missing fissures.
An extendable maneuver management framework with fault‐tolerant mechanism for vehicle platoon control system in highway scenario
Authors: Liu Chang , Luo Yugong , Li Pengfei , Xing Chunhui , Kong Weiwei 
Published: July 2023

AbstractVehicle platoons can encounter many complex scenarios in practice that were not considered in the design, which reveals the need to add new maneuvers. Platoon control system will face the challenge of the lack of maneuver scalability in practical applications. To address this problem, this study introduces an extendable maneuver management framework with fault‐tolerant mechanism on the basis of the hierarchical architecture for the platoon control system. Maneuvers and roles are two dimensions, based on which the management strategies are decoupled. They enable each vehicle in the platoon to execute management strategies of various maneuvers and make it possible to expanding new behaviors into existing strategies. The fault‐tolerant mechanism is designed as a maneuver triggered by hardware failures to remain safe before taking over. Furthermore, three typical maneuvers are selected for case studies to illustrate the management strategies in this framework. Finally, a comprehensive simulation scenario integrating different maneuvers is designed and a real‐world implementation using micro‐vehicles is conducted. The results demonstrate that the proposed two‐dimensional framework could effectively address various maneuvers and satisfy the computational real‐time requirements.
Machine learning based model predictive control for grid connected enhanced switched capacitor cross‐connected switched multi‐level inverter (ESC3SMLI)
Authors: Vijayakumar Arun , Stonier Albert Alexander , Peter Geno , Vignesh Ezhil , Ganji Vivekananda 
Published: July 2023

AbstractThis article describes an enhanced switched capacitor cross‐connected switched multilevel inverter (ESC3SMLI) with a machine learningbased model‐predictive control method (ML‐MPCM). The proposed ESC3SMLI produces nine levels using eight switches, including two bidirectional switching devices, a single DC source, and a capacitor. Additionally, the design generates a negative level without the use of extra circuitry like an H‐bridge, which implies that switches in ESC3SMLI are less subject to voltage stress. In comparison to a conventional H‐Bridge setup, only 3 switches conduct for each operating mode, leading to fewer switching transitions, reduced switching and conduction losses, and better efficiency. The exponential rise in computational complexity required to perform the optimisation, which consumes an unacceptably high quantity of computing resources, is the most important drawback of MPCMs. This article examines inverters static and dynamic behaviour since grid‐connected utility is intended. In specific, ESC3SMLI is controlled with high accuracy using the artificial neural network (ANN) model that was trained offline using the information gathered from the conventional MPC method. The rapid and accurate reaction, as well as the superior function, of the control scheme is demonstrated by its dynamic performance during sudden shifts in current and PF.
Constraints on (2060) Chiron’s size, shape, and surrounding material from the November 2018 and September 2019 stellar occultations
Authors: Braga-Ribas F. , Pereira C. L. , Sicardy B. , Ortiz J. L. , Desmars J. , Sickafoose A. , Emilio M. , Morgado B. , Margoti G. , Rommel F. L. , Camargo J. I. B. , Assafin M. , Vieira-Martins R. , Gomes-Júnior A. R. , Santos-Sanz P. , Morales N. , Kretlow M. , Lecacheux J. , Colas F. , Boninsegna R. , Schreurs O. , Dauvergne J. L. , Fernandez E. , van Heerden H. J. , González H. , Bihel D. , Jankowsky F. 
Published: July 2023

Context. After the discovery of rings around the largest known Centaur object, (10199) Chariklo, we carried out observation campaigns of stellar occultations produced by the second-largest known Centaur object, (2060) Chiron, to better characterize its physical properties and presence of material on its surroundings.
Aims. We aim to provide constraints on (2060) Chiron’s shape for the first time using stellar occultations. We investigate the detectability of material previously observed in its vicinity using the 2018 occultation data obtained from South Africa Astronomical Observatory (SAAO).
Methods. We predicted and successfully observed two stellar occultations by Chiron. These observations were used to constrain its size and shape by fitting elliptical limbs with equivalent surface radii in agreement with radiometric measurements. We also obtained the properties of the material observed in 2011 with the same technique used to derive Chariklo’s ring properties in our previous works, used to obtain limits on the detection of secondary events in our 2018 observation.
Results. Constraints on the (2060) Chiron shape are reported for the first time. Assuming an equivalent radius of Requiv = 105−7+6 km, we obtained a semi-major axis of a = 126 ± 22 km. Considering Chiron’s true rotational light curve amplitude and assuming it has a Jacobi equilibrium shape, we were able to derive a 3D shape with a semi-axis of a = 126 ± 22 km, b = 109 ± 19 km, and c = 68 ± 13 km, implying in a volume-equivalent radius of Rvol= 98 ± 17 km. We determined the physical properties of the 2011 secondary events around Chiron, which may then be directly compared with those of Chariklo rings, as the same method was used. Data obtained from SAAO in 2018 do not show unambiguous evidence of the proposed rings, mainly due to the large sampling time. Meanwhile, we discarded the possible presence of a permanent ring similar to (10199) Chariklo’s C1R in optical depth and extension.
Conclusions. Using the first multi-chord stellar occultation by (2060) Chiron and considering it to have a Jacobi equilibrium shape, we derived its 3D shape, implying a density of 1119 ± 4 kg m−3. New observations of a stellar occultation by (2060) Chiron are needed to further investigate the material’s properties around Chiron, such as the occultation predicted for September 10, 2023.
Pressure, state and response: configurational analysis of organizational resilience in tourism businesses following the COVID-19 pandemic crisis
Authors: Zhao Ruiyi , Li Ling 
Published: July 2023

AbstractOrganizational resilience is key for tourism companies in coping with crises; however, little is known about how tourism companies can become more resilient. Furthermore, much of the empirical evidence in the extant literature comes from developed countries. The study identifies key factors affecting organizational resilience based on a “resource–capacity-relationship” theoretical framework, incorporating the number of COVID-19 cases as an external factor in the stress-state-response (PSR) model, with the epidemic as pressure, corporate governance, and redundant resources as the enterprise state, and CSR performance as the response. The fsQCA method was used to analyse the interaction and joint effects among multisource influencing factors such as pressure, state and response. Based on an empirical analysis of 35 listed tourism companies in China from 2010 to 2020, the research found the following: (1) Four groupings of high organizational resilience: redundant resource deficit under epidemic pressure with high pay incentive compensation, low financial risk, and CSR driven under low epidemic pressure, resource deployment and CSR driven under low financial risk and CSR driven under low financial risk. Of these, CSR at the response level as a core condition is key to developing high organizational resilience. (2) Corporate governance capabilities play a high role in fostering organizational resilience under epidemic pressure and can compensate for organizational deficiencies in resources and relationships. (3) Under specific objective endowment conditions, unabsorbed redundant resources and absorbed redundant resources can substitute to some extent for deficiencies in capabilities and relationships. (4) The low organizational resilience configurations suggest that potentially redundant resources may be the key to low organizational resilience. CSR is not the ‘golden key’ to organizational resilience but is influenced by redundant resources. Furthermore, the key variables affecting organizational resilience were significant during the studied period. The research provides a theoretical reference and practical guidance for the sustainable development of tourism enterprises in the context of major public health crises.
Bidirectional causal relationship between depression and frailty: a univariate and multivariate Mendelian randomisation study
Authors: Sang Ni , Li Bo-Han , Zhang Meng-Yao , Wei Meng , Fang Ruo-Xuan , Liu Wen-Jing , Huang Li-E , Zhang Jing , Wu Guo-Cui 
Published: July 2023

Abstract

Background
cumulative evidence from cohort studies suggested that there were inconsistent conclusions as to whether there was a bidirectional association between depression and frailty. Therefore, this study used a bidirectional two-sample Mendelian randomisation (MR) study to investigate the causal relationship between depression and frailty.

Methods
we performed univariate and multivariate bidirectional MR analyses to assess the causal association between depression and frailty. Independent genetic variants associated with depression and frailty were selected as instrumental variables. Inverse variance weighted (IVW), MR-Egger, weighted median and weighted mode were mainly used in univariate MR analysis. Multivariate MR (MVMR) analyses used multivariable inverse variance-weighted methods to individually and jointly adjust for three potential confounders, body mass index (BMI), age at menarche (AAM) and waist-to-hip ratio (WHR, adjusted for BMI).

Results
univariate MR analysis showed a positive causal relationship between depression and risk of frailty (IVW, odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.23–1.37, P = 6.54E−22). Causal relationship between frailty and risk of depression (IVW, OR = 1.69, 95% CI = 1.33–2.16, P = 2.09E−05). MVMR analysis revealed that the bidirectional causal association between depression and frailty remained after adjusting for three potential confounders, BMI, AAM and WHR (adjusted for BMI), individually and in combination.

Conclusions
our findings supported a causal relationship between genetically predicted depression and frailty in both directions.
The roles of phylogeny, body size and substrate use in trabecular bone variation among Philippine ‘earthworm mice’ (Rodentia: Chrotomyini)
Authors: Smith Stephanie M , Rowsey Dakota M , Nations Jonathan A , Angielczyk Kenneth D , Heaney Lawrence R 
Published: July 2023

AbstractTrabecular bone is modelled throughout an animal’s life in response to its mechanical environment, but like other skeletal anatomy, it is also subject to evolutionary influences. Yet the relative strengths of factors that affect trabecular bone architecture are little studied. We investigated these influences across the Philippine endemic murine rodent clade Chrotomyini. These mammals have robustly established phylogenetic relationships, exhibit a range of well-documented substrate-use types, and have a body size range spanning several hundred grammes, making them ideal for a tractable study of extrinsic and intrinsic influences on trabecular bone morphology. We found slight differences in vertebral trabecular bone among different substrate-use categories, with more divergent characteristics in more ecologically specialized taxa. This suggests that the mechanical environment must be relatively extreme to affect trabecular bone morphology in small mammals. We also recovered allometric patterns that imply that selective pressures on bone may differ between small and large mammals. Finally, we found high intrataxonomic variation in trabecular bone morphology, but it is not clearly related to any variable we measured, and may represent a normal degree of variation in these animals rather than a functional trait. Future studies should address how this plasticity affects biomechanical properties and performance of the skeleton.
Support for Democratic Policing Among Frontline Police Officers: The Role of Social Dominance Orientation
Authors: Davis Jill A , Baluran Darwin A , Hassan Shahidul 
Published: July 2023

Abstract
Motivated by emerging research that connects officer psychological orientations to policing outcomes, we examine how Social Dominance Orientation (SDO), i.e. preference for group-based social hierarchy, is related to officer attitudes toward democratic policing practices. Analysing survey data collected from officers in a state-level police organization in the United States, we find that high SDO officers are more willing to use force and less willing to report peer misconduct than low SDO officers. High SDO officers are also less supportive of procedurally fair policing practices. These findings contribute to research on factors that may inhibit officer support for democratic policing. We discuss the implications of these results for organizational efforts to inculcate democratic values among frontline officers.
Long-term analgesic effect of trans-spinal direct current stimulation compared to non-invasive motor cortex stimulation in complex regional pain syndrome
Authors: Hodaj Hasan , Payen Jean-Francois , Hodaj Enkelejda , Sorel Marc , Dumolard Anne , Vercueil Laurent , Delon-Martin Chantal , Lefaucheur Jean-Pascal 
Published: July 2023

Abstract
The aim of the present study was to compare the analgesic effect of motor cortex stimulation using high-frequency repetitive transcranial magnetic stimulation or transcranial direct current stimulation and transcutaneous spinal direct current stimulation in patients with complex regional pain syndrome. Thirty-three patients with complex regional pain syndrome were randomized to one of the three treatment groups (repetitive transcranial magnetic stimulation, n = 11; transcranial direct current stimulation, n = 10; transcutaneous spinal direct current stimulation, n = 12) and received a series of 12 sessions of stimulation for 3 weeks (induction phase) and 11 sessions for 4 months (maintenance therapy). The primary end-point was the mean pain intensity assessed weekly with a visual numerical scale during the month prior to treatment (baseline), the 5-month stimulation period and 1 month after the treatment. The weekly visual numerical scale pain score was significantly reduced at all time points compared to baseline in the transcutaneous spinal direct current stimulation group, at the last two time points in the repetitive transcranial magnetic stimulation group (end of the 5-month stimulation period and 1 month later), but at no time point in the transcranial direct current stimulation group. A significant pain relief was observed at the end of induction phase using transcutaneous spinal direct current stimulation compared to repetitive transcranial magnetic stimulation (P = 0.008) and to transcranial direct current stimulation (P = 0.003). In this trial, transcutaneous spinal direct current stimulation was more efficient to relieve pain in patients with complex regional pain syndrome compared to motor cortex stimulation techniques (repetitive transcranial magnetic stimulation, transcranial direct current stimulation). This efficacy was found during the induction phase and was maintained thereafter. This study warrants further investigation to confirm the potentiality of transcutaneous spinal direct current stimulation as a therapeutic option in complex regional pain syndrome.
Sicilian semi- and supercentenarians: identification of age-related T-cell immunophenotype to define longevity trait
Authors: Ligotti Mattia Emanuela , Accardi Giulia , Aiello Anna , Aprile Stefano , Calabrò Anna , Caldarella Rosalia , Caruso Calogero , Ciaccio Marcello , Corsale Anna Maria , Dieli Francesco , Di Simone Marta , Giammanco Giovanni Maurizio , Mascarella Chiara , Akbar Arne N , Meraviglia Serena , Candore Giuseppina 
Published: July 2023

Abstract
The immunophenotype of oldest centenarians, i.e. semi- and supercentenarians, could provide important information about their ability to adapt to factors associated with immune changes, including ageing per se and chronic Cytomegalovirus infection. We investigated, by flow cytometry, variations in percentages and absolute numbers of immune cell subsets, focusing on T cells, and pro-inflammatory parameters in a cohort of 28 women and 26 men (age range 19–110 years). We observed variability in hallmarks of immunosenescence related to age and Cytomegalovirus serological status. The eight oldest centenarians showed the lowest percentages of naïve T cells, due to their age, and the highest percentages of T-effector memory cells re-expressing CD45RA (TEMRA), according to their cytomegalovirus status, and high levels of serum pro-inflammatory parameters, although their means were lower than that of remaining 90+ donors. Some of them showed CD8 naïve and TEMRA percentages, and exhaustion/pro-inflammatory markers comparable to the younger ones. Our study supports the suggestion that immune ageing, especially of oldest centenarians, exhibits great variability that is not only attributable to a single contributor but should also be the full result of a combination of several factors. Everyone ages differently because he/she is unique in genetics and experience of life and this applies even more to the immune system; everybody has had a different immunological history. Furthermore, our findings on inflammatory markers, TEMRA and CMV seropositivity in centenarians, discussed in the light of the most recent literature, suggest that these changes might be not unfavourable for centenarians, and in particular for the oldest ones.