bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sum‐rate maximization for downlink multiuser MISO URLLC system aided by IRS with discrete phase shifters
Authors: Ye Chang‐Qing , Jiang Hong , Zeng Chen‐Ping , Shi Hao‐Xin , Tang Zhan‐Peng 
Published: June 2024

AbstractIntelligent reflecting surface (IRS) has recently been considered as a potential technology for realizing ultra‐reliable and low‐latency (URLLC) in wireless networks. This paper proposes a resource optimization scheme to maximize the sum‐rate for an IRS‐assisted downlink multiuser multi‐input single‐output (MISO) URLLC system. For the perfect CSI scenario, we jointly optimize each user's block‐length and packet‐error probability, the precoding vectors at the base station (BS), and the passive beamforming with discrete phase shifts at the IRS. Given the problem's complexity, we design a computationally efficient iterative algorithm using successive convex approximation (SCA) and semidefinite relaxation (SDR) techniques to obtain a locally optimal solution. Specifically, for the imperfect CSI scenario, we construct a robust resource optimization problem model and incorporate the S‐procedure to address the impact of channel uncertainty, proposing an iterative algorithm based on the alternating optimization (AO) method to achieve a locally optimal solution. Simulation results demonstrate that: 1) An IRS equipped with a 2‐bit quantized resolution phase shifter is sufficient to achieve a system sum‐rate comparable to that of an ideal phase shifter; 2) Compared to other Baseline schemes, Algorithm 2 exhibits better robustness and superior performance gains under imperfect CSI.
An accelerated zeroing neural network for solving continuous coupled Lyapunov matrix equations
Authors: Wang Yurui , Zhang Ying 
Published: June 2024

AbstractIn this paper, an improved zeroing neural network (ZNN) model is proposed to obtain the positive definite solutions of the continuous coupled Lyapunov matrix equations (CLMEs) associated with continuous‐time Markovian jump (CMJ) systems. To achieve this, a general ZNN model is established by constructing a matrix‐valued error function. Then, to accelerate the convergence rate of the proposed ZNN model, the latest estimation is introduced to obtain an improved ZNN model. Some convergence conditions have been derived for the presented improved ZNN model through Lyapunov theory. Comparisons among the improved ZNN model and the existing results are conducted to illustrate the advantages of the proposed improved ZNN model in numerical examples.
Smart line planning method for power transmission based on D3QN‐PER algorithm
Authors: Nan Guojun , Shen Zixiang , Du Haibo , Yu Lanlin , Zhu Wenwu 
Published: June 2024

AbstractThe planning of power transmission line projects encompasses vast and complex geographical terrains. To address the complexity of transmission line planning and achieve lower line costs, this study proposes a novel intelligent line planning method. For the first time, it combines the Dueling Double Deep Q Network (D3QN) with the prioritized experience replay (PER) mechanism. First, correlate the reward function with metrics such as line length, number of corner points, and geographical environmental data, which are pertinent to the construction costs of power transmission line. Second, the D3QN algorithm is formulated by integrating Double DQN and Dueling DQN. The network's input information is divided into two components during training, aligning with the characteristics of power transmission line planning projects. Finally, the convergence efficiency of the algorithm is improved by using the PER mechanism for the problem of cost difference due to the different number of corner points in the planning path. In order to test the feasibility of the algorithm, we conducted experiments using real maps. Compared with the traditional ant colony optimization (ACO) algorithm, the D3QN‐PER deep reinforcement learning algorithm reduces the line length by more than 4% and the number of corner points by more than 60%.
Guest Editorial: Identification, stability analysis, control, and situation awareness of power systems with high penetrations of renewable energy resources
Authors: Lie Tek Tjing , Luan Wenpeng 
Published: June 2024

AbstractIt is with great pleasure that the authors introduce this special issue, commemorating the 8th Asia Conference on Power and Electrical Engineering held in Tianjin in 2023. This conference served as a nexus for researchers, practitioners, and industry experts from around the globe to convene and exchange cutting‐edge insights, innovative ideas, and transformative advancements in the field of power and electrical engineering. The contributions featured in this special issue represent a diverse array of research endeavours, spanning from fundamental theories to practical applications, all aimed at addressing the myriad challenges and opportunities facing the power and electrical engineering domain. From novel methodologies in renewable energy integration to advancements in smart grid technologies, each article encapsulates the spirit of innovation and collaboration that characterised the conference. This special issue includes scientific investigations on topology modelling and virtual stability analysis methods for distribution networks with high penetration of renewable energy resources, monitoring and situation awareness on grid inertia and power‐frequency evolution, novel voltage source converter control schemes, and reviews of low‐carbon planning and operation of electricity, hydrogen fuel, and transportation networks.
A customised artificial neural network for power distribution system fault detection
Authors: Bhagwat Arnav , Dutta Soham , Jadoun Vinay Kumar , Veerendra Arigela Satya , Sahu Sourav Kumar 
Published: June 2024

AbstractMachine learned fault detection approaches are being increasingly used for fault detection in distribution grid. However, the performance of the models can be improved by customizing the models. In this regard, a customised artificial neural network (CANN) for fault detection in a distribution grid is proposed in this paper. The proposed work develops a CANN that combines the “up‐pyramid” and “down‐pyramid” model of ANN into a “custom‐pyramid” model. As a result, the same model can be used both for determining the types of fault as well as its location. The data needed to train the model has been taken from a reconfigured IEEE‐33 bus distribution system developed in Typhoon HIL real‐time simulator. Spectral‐kurtosis is utilized for extraction of features of the faulted transient signals which are used as input data to develop the CANN. The result showcases that the reduction of input features reduces computational complexity without compromising its accuracy. The proposed model classifies fault location with an accuracy of 95.43%. The proposed method also identifies fault type with an accuracy of 96.08%. Several test cases have been developed to test the method. The method proved to be able to perform in most of the cases.
Flexible thin parts multi‐target positioning method of multi‐level feature fusion
Authors: Deng Yaohua , Liu Xiali , Yang Kenan , Li Zehang 
Published: June 2024

AbstractIn new energy battery manufacturing, machine vision is widely used in automated assembly scenarios for key parts. To improve the accuracy and real‐time multi‐target positioning recognition of flexible thin parts, this paper proposes a multi‐level feature fusion template matching algorithm based on the Gaussian pyramid. Firstly, the algorithm constructs a Gaussian pyramid by multi‐scale image construction. Secondly, considering the image features of each layer of the pyramid, this paper uses the grey‐based Fast Normalized Matching algorithm to obtain coarse positioning coordinates on the upper layer, and the improved Linemod‐2D algorithm is applied to the bottom layer image to get accurate positioning coordinates. Finally, the positioning coordinates returned from each layer are fused to obtain the final positioning coordinate. The experimental results show that the proposed algorithm achieves excellent performance in nickel plate positioning and recognition. It exhibits satisfactory performance in nickel sheet localization and recognition. In terms of angular error, repeat accuracy, and matching speed, it competes favourably with Halcon, VisionMaster, and SCISmart. Its positioning error closely approximates that of Halcon, effectively meeting the practical production demands for high‐speed feeding and high‐precision positioning.
Chinese image captioning with fusion encoder and visual keyword search
Authors: Zou Yang , Liao Shiyu , Wang Qifei 
Published: June 2024

AbstractAutomatic generation of image captions is essentially a cross‐modal conversion from image to text. Owing to the differences in linguistic characteristics between Chinese and English, quite a few Chinese image captioning methods have recently been proposed. Nevertheless, the existing Chinese image captioning models usually lack attention to local details of images or tend to produce general descriptions. To address these challenges, a Chinese image captioning method is proposed that incorporates fusion encoder, visual keyword search, and reinforcement learning. The fusion encoder can simultaneously extract local and global features of the input image to enrich the semantic information in the decoding stage, visual keyword search can pursue potential visual words associated with the image content, and the reinforcement learning mechanism can optimize the evaluation metric CIDEr at sentence level to promote the lexical diversity of image description. The results of extensive experiments demonstrate that the proposed model outperforms the state‐of‐the‐art models and delivers expressive and informative Chinese image captions.
How can we consider multi‐core fibre standard?
Authors: Nakajima Kazuhide , Matsui Takashi 
Published: June 2024

AbstractThe authors provide an example roadmap for realising the space division multiplexing (SDM)‐based ecosystem. The authors investigate whether the new standard for multi‐core fibre can be specified by considering a 125 μm standard cladding diameter and backward compatibility with the existing single‐core single‐mode fibre. The authors propose that well‐planned standardisation activities need to be initiated considering mandatory technologies for realising the terrestrial SDM ecosystem in the near future.
Thermal behaviour of a transformer mineral oil‐tank surface under incipient turn‐to‐turn short‐circuit fault
Authors: Chen Si , Luo Yingting , Sheng Gehao , Jiang Junfei 
Published: June 2024

AbstractA slight turn‐to‐turn short‐circuit fault in the incipient stage does not trigger fuse protection, and the regular transmission and transformation functions of the transformer within the power grid are not affected very much by the incipient turn‐to‐turn short‐circuit fault. Therefore, the incipient turn‐to‐turn short‐circuit faults are often undetected, resulting in massive accidents. Incipient turn‐to‐turn short‐circuit faults lead to localized overheating in the transformer, which changes the transformer's oil‐tank surface temperature (OTST). A thermal simulation model (TSM) is presented. Based on the TSM, OTST data with different load rates and fault parameters are collected. The steady‐state and transient characteristics of OTST are analysed by extracting the OTST feature vector and the temperature difference of specific regions. The results show that the growth of the heat production value of faulty coils causes a rise in the OTST; higher faulty coils' locations lead to wider OTST differences; the temperature difference's area S can follow the incipient short‐circuit fault in the first 20 min after it occurs, which is faster than the top oil temperature. This study gives insight into the thermal behaviour of OTST, assisting in fault detection and location at the incipient fault stage.
Dossier : « La recherche au défi de la crise des temporalités » : De la crise des temporalités aux conditions de son dépassement. Essai de réflexion interdisciplinaire
Authors: Cornu Pierre , Theys Jacques 
Published: June 2024

Jamais pleinement alignées, les temporalités de la nature, des sciences et des sociétés se trouvent aujourd’hui dans un déphasage problématique, qui les place au cœur de la crise du système Terre et de ce que l’on peut appeler la « crise du futur ». Délaissée durant la phase historique de la « grande accélération » de la seconde moitié du XXe siècle, la question de la prise en compte des temporalités intriquées resurgit aujourd’hui sur le mode de l’urgence, quand ce n’est pas de la panique, appelant à un effort inédit pour concevoir, dans une logique à la fois interdisciplinaire et transdisciplinaire, une intelligence du temps susceptible d’être actionnée à toutes les échelles pertinentes pour « embarquer » le système Terre dans une transition vers un modèle à la fois viable et vivable. Inscrit dans la filiation des réflexions et des propositions portées par le collectif Natures Sciences Sociétés depuis sa fondation en 1993, cet article se propose de mener une analyse clinique et critique du « présentisme », avant d’explorer les possibles nouveaux usages de l’histoire d’une part, de la prospective d’autre part, pour fonder une pensée impliquée et responsable des temporalités dans le contexte des fluctuations de plus en plus fortes de l’anthropocène.
Dossier : « La recherche au défi de la crise des temporalités » : Prendre en compte les dimensions temporelles de l’information géographique environnementale dans l’action publique territoriale
Authors: Catteau Suzanne , Lobry Emmeline 
Published: June 2024

La multiplication des indicateurs quantitatifs dans les politiques publiques liées à l’environnement engendre le recours croissant aux systèmes d’information géographique et aux données environnementales géoréférencées. L’enjeu est de traduire spatialement les changements globaux pour la planification et le suivi des dynamiques naturelles et anthropiques. L’article questionne le rapport à la temporalité de ces données : leur trajectoire d’évolution, rythmée par les progrès technologiques, et leur difficile adéquation avec les temporalités de l’objet qu’elles cherchent à représenter et celles de leurs utilisations. Il décortique l’incidence des croisements de données aux temporalités multiples. À partir de deux cas d’étude, l’article affirme l’importance de prendre le temps de la discussion durant le traitement des données afin d’en améliorer la compréhension et la comptabilité avec les objectifs attendus.
Liebe Leserinnen, liebe Leser…
Authors: Jobst Detmar 
Published: June 2024

Phytotherapie in BewegungPhytotherapie scheint mir in ständiger Bewegung zu sein. Einzelne, vorher nur
summarisch beschriebene Inhaltsstoffe bereits bekannter, aber zwischenzeitlich in
Vergessenheit geratener Arzneipflanzen, wie z.B. der Zistrose und des Kalmegh,
zeigen unerwartete neue Wirkungen. Bekannte Inhaltsstoffe anderer Pflanzen werfen
Fragen nach deren Ungefährlichkeit auf, wie z.B. bei Fenchelfrüchten bzw. Fenchelöl.
Wie gut, dass spezialisierte Analyse- und In-vitro-Testmethoden unser Wissen
erweitern und die Therapie mit Arzneipflanzen dadurch sicherer machen!
Biologikatherapie in der Behandlung der atopischen Dermatitis und des Asthma bronchiale
Authors: Knappe Nora , Vogelberg Christian 
Published: June 2024

ZUSAMMENFASSUNGBiologika, im engeren Sinne molekulare Antikörper, sind ein moderner Ansatz auch bei der Therapie pneumologischer und allergologischer Krankheitsbilder. Durch eine gezielte Auswahl je nach Phäno- und Endotyp, bietet sich die Möglichkeit einer individuellen Behandlung. In diesem Artikel wird insbesondere auf die Therapieoptionen der mittelschweren bis schweren atopischen Dermatitis sowie des schweren Asthma bronchiale fokussiert.
Use of Magnetic Resonance Direct Thrombus Imaging for the Diagnostic Management of Suspected Thrombosis in Routine Clinical Practice
Authors: de Jong Cindy M.M. , van Dam Lisette F. , Dronkers Charlotte E.A. , Eikenboom Jeroen , den Exter Paul L. , ter Haar Sophie N.M. , van Haren Guido R. , Huisman Menno V. , van Mens Thijs E. , Stöger J. Lauran , Kroft Lucia J.M. , Klok Frederikus A. 
Published: June 2024

Abstract
Background The noninvasive magnetic resonance direct thrombus imaging (MRDTI) technique can be used to diagnose acute deep vein thrombosis (DVT), without the use of intravenous contrast. MRDTI holds the potential to differentiate between acute and chronic DVT and could be helpful when diagnosing thrombosis is challenging.
Objectives Our objective was to evaluate the application of MRDTI in clinical practice, including the frequency and indications of MRDTI scans performed in practice-based conditions, results, impact on treatment decisions, and associated patient outcomes.
Methods A retrospective study was performed at the Leiden University Medical Center, the Netherlands. MRDTI scans performed since its implementation in patients aged ≥18 years as part of clinical practice for the diagnostic management of suspected thrombosis were evaluated.
Results Between October 2015 and September 2023, 36 patients had undergone MRDTI for the diagnostic evaluation of thrombosis. MRDTI application increased since 2019 (five–eight scans per year). The most common indication was to differentiate between acute and chronic thrombosis, mainly for suspected recurrent ipsilateral DVT after inconclusive compression ultrasonography. In over a third of patients, acute thrombosis was confirmed by MRDTI. MRDTI results determined treatment decisions in all except two patients. One patient had symptomatic thrombosis of the lower extremity within 3 months after an MRDTI of the upper extremity without signs of acute thrombosis (1/23; 4.3%, 95% confidence interval: 0.77–21).
Conclusion Over the past 4 years, MRDTI has been used increasingly in our hospital. MRDTI results guided treatment decisions, which confirms the clinical impact and feasibility of its application in daily practice.
Colorectal tumor comorbidity is common in patients with duodenal tumors: Exploratory cross-sectional study
Authors: Mizutani Mari , Kato Motohiko , Yamanoi Kazuhiro , Matsubara Akiko , Nakayama Atsushi , Fukuhara Kayoko , Iwata Kentaro , Miyazaki Kurato , Masunaga Teppei , Kubosawa Yoko , Hayashi Yukie , Takatori Yusaku , Akimoto Teppei , Matsuura Noriko , Bessho Rieko , Sujino Tomohisa , Takabayashi Kaoru , Ichikawa Hitoshi , Kashiwagi Kazuhiro , Takaishi Hiromasa , Sato Yasunori , Kanai Takanori , Kushima Ryoji , Yahagi Naohisa 
Published: June 2024

Abstract
Background and study aims The duodenum and colorectum are target organs for familial colorectal adenomatous polyposis, however, the association of duodenal epithelial tumors (DETs) and colorectal tumors is still controversial. The aim of our study was to elucidate the association between DET and colorectal tumor.
Patients and methods This was an exploratory cross-sectional study of patients with DETs treated by endoscopic resection at our hospital, between November 2018 and October 2022. Individuals who underwent colonoscopy as part of the health screening comprised the reference control group for comparison. In both groups, lesions suspected of being tumors were resected. The main outcome was the adenoma detection rate (ADR). Other outcomes were the detection rate for advanced neoplasia (AN) and risk factors for colorectal adenoma and AN, evaluated using univariate and multivariable analyses.
Results Analyses were based on data from 163 individuals in the DET group and 177 in the control group. ADR was higher in the DET (63.2%) than in the control (23.6%) group (P < 0.001). AN and invasive cancer rates were also significantly higher in the DET than in the control group (AN: 20.9% vs 3.4%, respectively, P < 0.001; invasive cancer: 3.1% vs 0%, respectively, P < 0.001). On logistic regression analysis, DET was found to be associated with a 5-fold increase in the detection rate of adenoma and 6-fold increase in AN detection.
Conclusions The study revealed significant association between DET and high ADR and a higher frequency of AN and invasive cancer. Screening colonoscopy is suggested for patients with DETs.
Efficient Synthesis of Fluorene Derivatives by Benzannulation of Indene Dienes with Benzoylacetonitrile Catalyzed by Lipase
Authors: Zhao Rui , Wang Zhi , Shi Wenhan , Wang Yiyao , Li Fengxi , Xie Hanqing , Wang Lei 
Published: June 2024

AbstractAn enzymatic method was developed for the synthesis of fluorene derivatives by benzannulation of indene dienes with benzoylacetonitrile in a nonaqueous solvent. Under the optimal reaction condition [indene diene (0.5 mmol), benzoylacetonitrile (0.5 mmol), ethanol (2 mL), lipase from porcine pancreas (5 mg), 50 °C, 24 h], fluorenes bearing various groups were obtained in satisfactory yields (83–93%). This method not only offers a significant advancement in the synthesis of fluorene derivatives, but also represents a new application of lipase in promiscuous enzyme catalysis.
Repetitive Subconcussive Head Impacts in Sports and Their Impact on
Brain Anatomy and Function: A Systematic Review
Authors: Hack Lukas , Singh Bhagyashree , Binkofski Ferdinand , Helmich Ingo 
Published: June 2024

AbstractRepetitive subconcussive head impacts occur regularly in sports. However, the
exact relationship between their biomechanical properties and their consequences
on brain structure and function has not been clarified yet. We therefore
reviewed prospective cohort studies that objectively reported the biomechanical
characteristics of repetitive subconcussive head impacts and their impact on
brain anatomy and function. Only studies with a pre- to post-measurement design
were included. Twenty-four studies met the inclusion criteria. Structural white
matter alterations, such as reduced fractional anisotropy and an increase in
mean diffusivity values, seem to be evident in athletes exposed to repetitive
subconcussive head impacts exceeding 10 g. Such changes are observable after
only one season of play. Furthermore, a dose-response relationship exists
between white matter abnormalities and the total number of subconcussive head
impacts. However, functional changes after repetitive subconcussive head impacts
remain inconclusive. We therefore conclude that repetitive subconcussive head
impacts induce structural changes, but thus far without overt functional
changes.