bluuebunny/crossref_metadata_2025 huggingface dataset:
Caractériser une gammapathie :
intérêts de l’immunoélectrophorèse
Authors: Soetart Nicolas , Jaillardon Laetitia
Published: July 2024

De nombreuses maladies peuvent être responsables d’une augmentation de la production d’immunoglobulines. La distinction entre une augmentation polyclonale (plusieurs types d’immunoglobulines produites) et une augmentation monoclonale (un seul type d’immunoglobuline produite, traduisant une prolifération d’un seul clone de cellules lymphoïdes B fortement évocatrice d’une origine néoplasique) est indispensable pour préciser le diagnostic.
Lorsque l’observation du tracé électrophorétique ne permet pas d’établir cette distinction, le recours à une immunoélectrophorèse, en identifiant les types d’immunoglobulines présentes dans le sérum, est nécessaire.
Chirurgie mini-invasive : la laparoscopie
Authors: Ragetly Guillaume
Published: July 2024

La chirurgie mini-invasive laparoscopique nécessite une colonne endoscopique avec moniteur vidéo, caméra, source de lumière et insufflateur. Elle doit être réalisée par un chirurgien expérimenté.

Elle permet, par rapport à une cœliotomie classique, une meilleure visualisation des structures abdominales, une diminution de la douleur postopératoire et de la morbidité, ainsi qu’un retour à une activité normale plus rapide.

Quelques contre-indications à cette technique existent, mais les complications majeures sont rares.

La chirurgie laparoscopique est de plus en plus pratiquée pour les ovariectomies, les cryptorchidectomies, les gastropexies ou les réalisations de biopsies. Entre les mains de chirurgiens plus expérimentés, elle permet de réaliser des chirurgies plus compliquées telles que les cholécystectomies ou les surrénalectomies adrénalectomies.
Indications et limites de la thoracoscopie
Authors: Cachon Thibaut , Claude Carozzo , Éric Viguier
Published: July 2024

La thoracoscopie permet une exploration du thorax et la réalisation de nombreux gestes chirurgicaux tout en diminuant la morbidité et la mortalité de l’intervention.

Elle est très utile dans la prise en charge des affections telles que les pneumothorax, les épanchements péricardiques, les chylothorax, …

Le développement de la thoracoscopie permet d’en élargir les indications.
Intoxication des chiens par les anatoxines
des cyanobactéries en France métropolitaine
chez le chien et le chat
Authors: Jaeg Jean-Philippe
Published: July 2024

Les anatoxines sont des toxines intracellulaires synthétisées par certaines cyanobactéries. Quand les conditions climatiques sont favorables, généralement à la fin de l’été et au début de l’automne en France métropolitaine, les cyanobactéries peuvent proliférer. Dans les régions touchées, les épisodes sont très souvent récurrents. Les chiens lors de promenades peuvent avaler de grandes quantités de cyanobactéries car ils sont attirés par l’odeur.

En avalant des cyanobactéries toxinogènes, ils ingèrent les toxines intracellulaires. Les anatoxines agissent au niveau des récepteurs nicotiniques comme agonistes de l’acétylcholine. Les signes cliniques sont essentiellement nerveux : tremblements musculaires ou convulsions musculaires en fonction de la dose.
Les doses absorbées peuvent être suffisantes pour entraîner la mort rapide d’un chien, même de grande taille. Des amas verdâtres correspondant aux cyanobactéries sont souvent visibles sur l’animal, dans sa gueule et dans l’estomac.

Le traitement est non spécifique et repose sur l’élimination de la toxine et la lutte contre les convulsions.
Intoxication des chiens par les anatoxines
des cyanobactéries en France métropolitaine
chez le chien et le chat
Authors: Priymenko Nathalie , Dor Marion , Jaeg Jean-Philippe
Published: July 2024

La phytothérapie vétérinaire est une médecine non conventionnelle dont l’utilisation en médecine vétérinaire n’est pas toujours en accord avec la règlementation. L’encadrement de cette pratique n’avait jusqu’alors pas vu le jour et le praticien vétérinaire se retrouve souvent démuni face aux nombreux flous concernant la réglementation.

De plus, la mise sur le marché d’aliments complémentaires à base de plantes dont de nombreux produits dits "frontières" de façon croissante ont permis l’utilisation à tout va de nombreuses plantes sans savoir réellement quelle réglementation régit cette pratique.

De plus, les praticiens se retrouvent parfois limités dans leurs actes faute de disposer de formations spécifiques et reconnues afin d’utiliser de façon raisonnée la phytothérapie. Ce n’est pourtant pas la popularité et l’engouement de la part du grand public qui manque mais définir un cadre de bonne pratique d’utilisation de la phytothérapie est indispensable.
Peu de phytomédicaments existent à l’heure actuelle, d’où l’utilisation de nombreux aliments complémentaires ou de plantes sèches : mais sont-ils utilisés correctement en production animale notamment ?

La réglementation concernant la délivrance des AMM tente de s’adapter aux futurs phytomédicaments mais ce n’est pas sans complexité au vu de la grande diversité des principes actifs que peut contenir une plante.

C’est dans ce contexte à la fois réglementaire, pratique, médical, social que le vétérinaire doit jongler pour utiliser la phytothérapie de façon légale et intelligible afin d’en extraire tous les bénéfices dans sa pratique quotidienne.
Pricing strategy and its impact on the effort of community leader and platform: Uniform or differentiated pricing?
Authors: Liu Bin , Li Juan , Li Bingchun , Yun Qiaoyun
Published: July 2024

This paper is motivated by the rapid development of community group buying (CGB), where the CGB platform dramatically relies on the community leader to provide last-mile services and fulfill consumers’ orders. Considering two types of community leaders, the friend role and seller role, this work adopts a game-theoretical model and investigates how the pricing strategy, uniform pricing strategy (N) or differentiated pricing strategy (Y), affects players’ performance and decisions on effort level. This study shows that the commission rate is an essential factor in stimulating the role transformation of community leaders. A significantly large commission rate results in the friend role community leader with lower trust value changing into the seller role. Generally, the community leader works harder under the uniform pricing scenario except in situations with a significant commission rate and moderate sensitivity coefficient of trust value. However, the effort level of the platform is jointly influenced by the pricing strategy, commission rate, and the role of a community leader. Moreover, regardless of the commission rate, when the community leader is a friend role and the trust value is high, both the platform and community leader can gain higher profits under the uniform pricing scenario than the differentiated pricing case. It indicates that a win–win situation can be achieved.
Neues zur Behandlung von Gliomen
Authors: Lazaridis Lazaros , Seliger Corinna
Published: July 2024

Gegenstand und Ziel Gliome sind die häufigsten hirneigenen Tumore bei Erwachsenen. Traditionellerweise erfolgte die Klassifikation nach histomorphologischen Kriterien. Im Update der Klassifikation der Weltgesundheitsorganisation (WHO) für Tumoren des Zentralnervensystems (ZNS) von 2021 haben molekulare Marker eine noch stärkere Bedeutung für die Einteilung/Diagnose und Behandlung von Gliomen gewonnen.

Material und Methoden Aktuelle Empfehlungen der Deutschen Gesellschaft für Neurologie, der European Association of Neuro-Oncology sowie der nordamerikanischen Society for Neuro-Oncology sind systematisch ausgewertet und synoptisch zusammengetragen worden.

Ergebnisse Neue Entitäten von Gliomen sind definiert worden. Neue Studiendaten sind verfügbar, insbesondere für die Behandlung von Tumoren mit einer Mutation der Isozitrat-Dehydrogenase (IDH). Derzeit untersuchen internationale Studien mögliche neue Therapieansätze.

Schlussfolgerungen Die nachfolgende Übersicht stellt ausgewählte Aspekte der aktuellen multimodalen Behandlung von Gliomen beim Erwachsenen und vielversprechende innovative Ansätze künftiger Entwicklungen heraus.
Wrist Arthrodesis with Double Ulna Intussusception for Failed Wrist Arthroplasty
Authors: Sullivan Mikaela H. , Meaike Joshua J. , Elhassan Bassem T. , Kakar Sanjeev
Published: July 2024

Background Salvage procedures for failed total wrist arthroplasty have variable results and limitations such as donor site morbidity, malunion, delayed or nonunion. We present a case of substantial bone loss after failed wrist arthroplasty and a surgical technique in which the distal ulna is transferred and intussuscepted to achieve union between the residual distal radius and metacarpals.

Case Description A 48-year-old female with rheumatoid arthritis presented with wrist prosthetic joint infection 16 years after total wrist arthroplasty. With extensive bone loss following implant removal and multiple debridements, the remaining distal ulna was resected and intussuscepted between the residual radius and second and third metacarpals. The patient achieved incorporation of the graft at 12 weeks and fusion at 20 weeks, with resolution of pain and restoration of digit function at 2 years.

Literature Review Standard means of wrist arthrodesis utilizing iliac crest autograft and femoral head allograft may be limited to address substantial bone loss following total wrist implant removal. Intussusception has been utilized in the elbow, hip, and diaphysis to optimize graft–host bone contact and achieve union. While ulna-utilizing procedures have been described for oncologic and traumatic indications, to our knowledge, double intussusception has not been described for salvage procedures after failed wrist arthroplasty.

Clinical Relevance Intussuscepting the distal ulna within the distal radius and metacarpals as an interpositional arthrodesis provides autologous graft, increased surface contact, and length restoration in cases of poor bone quality and significant bone loss following revision of a total wrist implant.
Streaming with more diversity? A comparison of the representation of minorities in broadcasting versus streaming television content
Authors: Daalmans Serena , Haverkort Rhanna , Kleemans Mariska
Published: July 2024

This study focused on the representation of minority groups on television, following the idea(l) that television as a mirror of society should convey a well-balanced representation of society. The current study extends previous research in that it analyses the potential for differences between regular broadcasters and streaming platforms, due to the latter’s public commitments to diversity and inclusion. Our results reveal that on Dutch prime-time television and popular streaming platforms women and seniors are underrepresented, whilst sexual minorities are overrepresented on public broadcasters and ethnic minorities on all platforms. Furthermore, results revealed that public nor commercial broadcasters nor popular streaming platforms succeed in being a fully inclusive, diverse, equitable, and representative reflection of Dutch society.
Giant barocaloric effects in sodium hexafluorophosphate and hexafluoroarsenate
Authors: Zhang Zhao , Hattori Takanori , Song Ruiqi , Yu Dehong , Mole Richard , Chen Jie , He Lunhua , Zhang Zhidong , Li Bing
Published: July 2024

Solid-state refrigeration using barocaloric materials is environmentally friendly and highly efficient, making it a subject of global interest over the past decade. Here, we report giant barocaloric effects in sodium hexafluorophosphate (NaPF6) and sodium hexafluoroarsenate (NaAsF6) that both undergo a cubic-to-rhombohedral phase transition near room temperature. We have determined that the low-temperature phase structure of NaPF6 is a rhombohedral structure with space group R3¯ by neutron powder diffraction. There are three Raman active vibration modes in NaPF6 and NaAsF6, i.e., F2g, Eg, and A1g. The phase transition temperature varies with pressure at a rate of dTt/dP = 250 and 310 K GPa−1 for NaPF6 and NaAsF6. The pressure-induced entropy changes of NaPF6 and NaAsF6 are determined to be around 45.2 and 35.6 J kg−1 K−1, respectively. The saturation driving pressure is about 40 MPa. The pressure-dependent neutron powder diffraction suggests that the barocaloric effects are related to the pressure-induced cubic-to-rhombohedral phase transitions.
Electric field enhancement of the superconducting spin-valve effect via strain-transfer across a ferromagnetic/ferroelectric interface
Authors: Kikuta Tomohiro , Komori Sachio , Imura Keiichiro , Taniyama Tomoyasu
Published: July 2024

In a ferromagnet/superconductor/ferromagnet (F/S/F) superconducting spin-valve (SSV), a change in the magnetization alignment of the two F layers modulates the critical temperature (Tc) of the S layer. The Tc-switching effect (the SSV effect) is based on the interplay between superconductivity and magnetism. The fast and large resistive switching associated with Tc-switching is suitable for nonvolatile cryogenic memory applications. However, the external magnetic field-based operation of SSVs is hindering their miniaturization, and therefore, electric field control of the SSV effect is desired. Here, we report epitaxial growth of a La0.67Ca0.33MnO3/YBa2Cu3O7/La0.67Ca0.33MnO3 SSV on a piezo-electric [Pb(Mg0.33Nb0.67)O3]0.7-[PbTiO3]0.3 (001) substrate and demonstrate electric field control of the SSV effect. Electric field-induced strain-transfer from the piezo-electric substrate increases the magnetization and Tc of the SSV and leads to an enhancement of the magnitude of Tc-switching. The results are promising for the development of magnetic-field-free superconducting spintronic devices, in which the S/F interaction is not only sensitive to the magnetization alignment but also to an applied electric field.
Transformation of a cellular skyrmion to polyomino-like structures
Authors: Xia Jing , Zhang Xichao , Zhou Yan , Liu Xiaoxi , Zhao Guoping , Mochizuki Masahito
Published: July 2024

Topological spin structures with transformable shapes may have potential implications for data storage and computation. Here, we demonstrate that a square cellular skyrmion on an artificial grid pinning pattern can be manipulated by programmed current pulses. We find that parallel short pulses could result in elongation of the skyrmion mainly in the current direction, while parallel long pulses are able to induce elongation in the direction perpendicular to the current due to the intrinsic skyrmion Hall effect. Consequently, a programmed sequence of parallel pulses could lead to transformation of the skyrmion to I-, L-, and Z-shaped polyomino-like structures without affecting the topological charge. In addition, we find that orthogonal pulses could lead to the transformation to more complex polyomino-like structures, including T-shaped and irregular ones. Particularly, when a small T-shaped structure is formed, the topological charge of the system is found to be non-integer due to incomplete compensation of local topological charge densities; however, the T-shaped structure is stable on the attractive pinning pattern. Our results offer an effective way to create polyomino-like spin structures toward functional applications.
Real-time processing system of a two-color CO2 laser interferometer for density feedback control in JT-60SA
Authors: Ohtani Y. , Sasao H. , Nakano T. , Fukumoto M. , Wakatsuki T. , Inoue S. , Kojima S. , Urano H. , Yoshida M.
Published: July 2024

A real-time processing system for the two-color CO2 laser interferometer on the JT-60SA has been developed for density feedback control. The system has a novel feature that can detect fringe jumps due to off-normal events, such as loss detection due to displacement of the beam axis and changes in the laser wavelengths. Because a phase change due to the JT-60SA plasma is smaller than π/2, corresponding to the line-integral electron density NL of ∼6×1019 m−2 in a short interval of 500 ns, the threshold of the fringe jump detection is decided to be π/2. Hence, off-normal events can be detected from a fringe jump, leading to the abort of the real-time feedback control. In the density feedback control of the JT-60SA plasma, the system is employed as a density monitor, with NL being successfully controlled at 16.8% ± 6.6% lower than the reference.
Cell integrity maintenance and genetic transfection of protoplasts in an acoustofluidic system
Authors: Shen Xiaotian , Zhang Jieyi , Zhang Tianjiao , Wang Shuaiqi , Han Ziyu , Wang Jiehua , Duan Xuexin
Published: July 2024

Hydrodynamic force loading platforms based on acoustofluidics have been developed to study the mechanical deformation of cancer cells and to control cell behavior. However, so far there have been no experimental measurements on living plant cells using such an acoustic approach. Unique structures, including cell walls, allow plant cells to exhibit more variation in mechanical resistance. In this work, we analyzed plant cell deformation and membrane permeability using a gigahertz (GHz) acoustofluidic system. By recording the proportion of intact cells in the cell population, we evaluated the mechanical resistance of the protoplasts to the hydrodynamic forces of the acoustic streaming. The results showed that a regenerated primary cell wall (PCW) could significantly improve the mechanical resistance of individual plant cells within 24 h compared to the freshly prepared protoplasts without walls. The results of enzymatic degradation showed that three main components of the primary cell wall contribute to different degrees to the improvement of the mechanical properties of the cells, in decreasing order: cellulose, hemicellulose, and pectin. Furthermore, we have shown that such an acoustofluidic system can alter the permeability of the protoplast membrane in a controllable manner for transient gene expression.
Fast and high-responsivity MoS2/MoSe2 heterostructure photodetectors enabled by van der Waals contact interfaces
Authors: Zhao Huijuan , Wang Yufan , Tang Senyao , Cheng Yamin , Li Shuhan , Wang Jiaxuan , Guo Xiaohan , Wang Weiqi , Zhou Qiyuan , Xuan Fengyuan , Yu Yuanfang , Gao Li
Published: July 2024

Two-dimensional (2D) materials are ideal candidates for building optoelectronic devices, owing to their fascinating photoelectric properties. However, most photodetectors based on individual 2D materials face difficulties in achieving both high responsivity and fast response. In this paper, we have fabricated high-quality vertically stacked MoS2/MoSe2 van der Waals (vdW) heterostructures using dry transfer method. The strong built-in electric field at the interface of type II heterostructure effectively facilitates the separation of photogenerated carriers. The vdW contact between channel material and transferred metal electrode effectively avoids the introduction of defects. These methods effectively enhance the performance of hybrid devices. Under 532 nm laser illumination, this photodetector exhibits high responsivity (528.1 A/W) and fast photoresponse (rise time ∼3.0 μs/decay time ∼31.3 μs). Furthermore, we demonstrated single-pixel image sensing capabilities of the device at room temperature across various modulation frequencies. Importantly, imaging at a frequency as high as 15 000 Hz was attained, indicating its great potential for next-generation, high-performance single-pixel image sensing applications.
Cone photoreceptor differentiation regulated by thyroid hormone transporter MCT8 in the retinal pigment epithelium
Authors: Liu Ye , Ng Lily , Liu Hong , Heuer Heike , Forrest Douglas
Published: July 2024

The key role of a thyroid hormone receptor in determining the maturation and diversity of cone photoreceptors reflects a profound influence of endocrine signaling on the cells that mediate color vision. However, the route by which hormone reaches cones remains enigmatic as cones reside in the retinal photoreceptor layer, shielded by the blood–retina barrier. Using genetic approaches, we report that cone differentiation is regulated by a membrane transporter for thyroid hormone, MCT8 (SLC16A2), in the retinal pigment epithelium (RPE), which forms the outer blood–retina barrier.
Mct8
-deficient mice display hypothyroid-like cone gene expression and compromised electroretinogram responses. Mammalian color vision is typically facilitated by cone types that detect medium-long (M) and short (S) wavelengths of light but
Mct8
-deficient mice have a partial shift of M to S cone identity, resembling the phenotype of thyroid hormone receptor deficiency. RPE-specific ablation of
Mct8
results in similar shifts in cone identity and hypothyroid-like gene expression whereas reexpression of MCT8 in the RPE in
Mct8
-deficient mice partly restores M cone identity, consistent with paracrine-like control of thyroid hormone signaling by the RPE. Our findings suggest that in addition to transport of essential solutes and homeostatic support for photoreceptors, the RPE regulates the thyroid hormone signal that promotes cone-mediated vision.
Metformin synergizes with PD-1 blockade to promote normalization of tumor vessels via CD8T cells and IFNγ
Authors: Tokumasu Miho , Nishida Mikako , Zhao Weiyang , Chao Ruoyu , Imano Natsumi , Yamashita Nahoko , Hida Kyoko , Naito Hisamichi , Udono Heiichiro
Published: July 2024

Tumor blood vessels are highly leaky in structure and have poor blood perfusion, which hampers infiltration and function of CD8T cells within tumor. Normalizing tumor vessels is thus thought to be important in promoting the flux of immune T cells and enhancing ant-tumor immunity. However, how tumor vasculature is normalized is poorly understood. Metformin (Met) combined with ant-PD-1 therapy is known to stimulate proliferation of and to produce large amounts of IFNγ from tumor-infiltrating CD8T lymphocytes (CD8TILs). We found that the combination therapy promotes the pericyte coverage of tumor vascular endothelial cells (ECs) to improve blood perfusion and that it suppresses the hyperpermeability through the increase of VE-cadherin. Peripheral node addressin(PNAd) and vascular cell adhesion molecule (VCAM)-1, both implicated to promote tumor infiltration of CD8T cells, were also increased. Importantly, tumor vessel normalization, characterized as the reduced 70-kDa dextran leakage and the enhancement of VE-cadherin and VCAM-1, were canceled by anti-CD8 Ab or anti-IFNγ Ab injection to mice. The increased CD8TILs were also abrogated by anti-IFNγ Ab injection. In vascular ECs, flow cytometry analysis revealed that pSTAT1 expression was found to be associated with VE-cadherin expression. Moreover, in vitro treatment with Met and IFNγ enhanced VE-cadherin and VCAM-1 on human umbilical vein endothelial cells (HUVECs). The Kaplan–Meier method revealed a correlation of VE-cadherin or VCAM-1 levels with overall survival in patients treated with immune checkpoint inhibitors. These data indicate that IFNγ-mediated cross talk of CD8TILs with tumor vessels is important for creating a better tumor microenvironment and maintaining sustained antitumor immunity.
The evolution of social behaviors and risk preferences in settings with uncertainty
Authors: Wang Guocheng , Su Qi , Wang Long , Plotkin Joshua B.
Published: July 2024

Humans update their social behavior in response to past experiences and changing environments. Behavioral decisions are further complicated by uncertainty in the outcome of social interactions. Faced with uncertainty, some individuals exhibit risk aversion while others seek risk. Attitudes toward risk may depend on socioeconomic status; and individuals may update their risk preferences over time, which will feedback on their social behavior. Here, we study how uncertainty and risk preferences shape the evolution of social behaviors. We extend the game-theoretic framework for behavioral evolution to incorporate uncertainty about payoffs and variation in how individuals respond to this uncertainty. We find that different attitudes toward risk can substantially alter behavior and long-term outcomes, as individuals seek to optimize their rewards from social interactions. In a standard setting without risk, for example, defection always overtakes a well-mixed population engaged in the classic Prisoner’s Dilemma, whereas risk aversion can reverse the direction of evolution, promoting cooperation over defection. When individuals update their risk preferences along with their strategic behaviors, a population can oscillate between periods dominated by risk-averse cooperators and periods of risk-seeking defectors. Our analysis provides a systematic account of how risk preferences modulate, and even coevolve with, behavior in an uncertain social world.
Delay characteristics of quasi-nonvolatile memory devices operating in positive feedback mechanism
Authors: Oh Jeongyun , Jeon Juhee , Shin Yunwoo , Cho Kyoungah , Kim Sangsig
Published: July 2024

This study examines the memory and read delay characteristics of quasi-nonvolatile memory (QNVM) devices operating in a positive feedback mechanism through technology computer-aided design simulation. The QNVM devices exhibit a rapid operation speed of 5 ns, a significant sensing margin of approximately 8.0 μA, and a retention time of around 1 s without any external bias. These devices showcase an exceptionally brief read delay of 0.12 ns. The energy band diagrams during the memory operation are analyzed to clarify the factors influencing the read delay. The write and standby conditions modulate the potential barrier height during the standby operation, thereby affecting the read delay. Moreover, the shorter rising time causes the reduction of the read delay. This study demonstrates that the QNVM device has the potential to resolve energy consumption and speed issues in nonvolatile memory devices.
Deciphering baryonic feedback with galaxy clusters
Authors: To Chun-Hao , Pandey Shivam , Krause Elisabeth , Dalal Nihar , Anbajagane Dhayaa , Weinberg David H.
Published: July 2024

Upcoming cosmic shear analyses will precisely measure the cosmic matter distribution at low redshifts. At these redshifts, the matter distribution is affected by galaxy formation physics, primarily baryonic feedback from star formation and active galactic nuclei. Employing measurements from the Magneticum and IllustrisTNG simulations and a dark matter + baryon (DMB) halo model, this paper demonstrates that Sunyaev-Zel'dovich (SZ) effect observations of galaxy clusters, whose masses have been calibrated using weak gravitational lensing, can constrain the baryonic impact on cosmic shear with statistical and systematic errors subdominant to the measurement errors of DES-Y3 and LSST-Y1, with systematic errors on S8 and Ω
m
reaching 10% and 50% of the statistical errors, respectively. For LSST-Y6 and Roman surveys, these systematic errors increase to 150% and 100% of the statistical errors, indicating the necessity for further model developments for future surveys. We further dissect the contributions from different scales and halos with different masses to cosmic shear, highlighting the dominant role of SZ clusters at scales critical for cosmic shear analyses. These findings suggest a promising avenue for future joint analyses of Cosmic Microwave Background (CMB) and lensing surveys.
Bessel vortices in spin-1 Bose–Einstein condensates with Zeeman splitting and spin–orbit coupling
Authors: Luo 罗 Huan-Bo 焕波 , Zhang 张 Xin-Feng 鑫锋 , Li 李 Runhua 润华 , Li 黎 Yongyao 永耀 , Liu 刘 Bin 彬
Published: July 2024

We investigate the ground states of spin–orbit coupled spin-1 Bose–Einstein condensates in the presence of Zeeman splitting. By introducing the generalized momentum operator, the linear version of the system is solved exactly, yielding a set of Bessel vortices. Additionally, based on linear solution and using variational approximation, the solutions for the full nonlinear system and their ground state phase diagrams are derived, including the vortex states with quantum numbers m = 0, 1, as well as mixed states. In this work, mixed states in spin-1 spin–orbit coupling (SOC) BEC are interpreted for the first time as weighted superpositions of three vortex states. Furthermore, the results also indicate that under strong Zeeman splitting, the system cannot form localized states. The variational solutions align well with numerical simulations, showing stable evolution and meeting the criteria for long-term observation in experiments.
Form factor for Dalitz decays from J/ψ to light pseudoscalars*
Authors: Shi 施 Chunjiang 春江 , Chen 陈 Ying 莹 , Jiang 蒋 Xiangyu 翔宇 , Gong 宫 Ming 明 , Liu 刘 Zhaofeng 朝峰 , Sun 孙 Wei 玮
Published: July 2024

We calculate the form factor

for the Dalitz decay

with

being the SU(

) flavor singlet pseudoscalar meson. The difference among the partial widths

at different

can be attributed in part to the

and quark mass dependences induced by the

anomaly dominance.

in both

is well described by the single pole model

. Combined with the known experimental results of the Dalitz decays

, the pseudoscalar mass

dependence of the pole parameter

is approximated by

with

and

. These results provide inputs for future theoretical and experimental studies on the Dalitz decays

.
Optimal Power Flow Calculation Based on SplitNN-DNN
Authors: He Xing , Wei Jie , Yi Zhihan , Li Xizhe , Song Rui , Chan Jian
Published: July 2024

Optimal power flow computation in power systems is an important aspect to ensure the smooth operation of power grids, but there are some challenges in terms of computing speed and data privacy protection in traditional methods. To address these issues, this study proposes a new method based on SplitNN-DNN. Firstly, we use a deep neural network to design a model that directly maps load data to voltage results, thereby improving computational efficiency. Second, we introduce a longitudinal federated learning technique to enable model training without data breaches. Finally, we conducted validation experiments on IEEE 118 and IEEE 300 node systems, and the results show that this approach not only protects data privacy, but also approaches the traditional centralized computation methods in performance, and has potential for practical applications.
Robust Assessment of Hosting Capacity of Renewable Generation in Distribution Systems Considering the Active Network Management
Authors: Gao Junyu , Yu Jianqiang , Zhang Gang , Zhang Xiaoyu , Liu Yanle
Published: July 2024

As the penetration rate of renewable distributed generation (RDG) increases, its random fluctuation characteristics have brought many problems to the safe operation of the active distribution network (ADN), such as voltage over-limit, reverse flow, and deterioration of power quality. Therefore, it has effectively affected the new energy hosting capacity of the ADN. Therefore, the effective assessment of the new energy hosting capacity of the ADN is a key part of the distribution network planning. In order to cope with the random fluctuation characteristics of new energy, this paper presents a two-stage robust assessment method of RDG hosting capacity of distribution networks by considering active network management (ANM) techniques such as network reconfiguration, reactive power compensation and on-load voltage regulation. Finally, the improved IEEE-33 distribution system is used to verify the results. The proposed method has been shown to be effective for evaluating the ADN’s RDG hosting capacity.
Combination of Matrix and Genetic Algorithms for Fault Location of Active Distribution Network
Authors: Li Juan , Lyu Pengpeng , Qian Zhonghao
Published: July 2024

Timely and effective location of faults in distribution networks is important for restoring power supply and dealing with faults. In this paper, a method combining matrix algorithm and genetic algorithm (GA) is proposed to determine the fault section. Firstly, the matrix algorithm is applied to locate the fault section initially by combining the alarm information uploaded from the feeder terminal unit (FTU). Secondly, in order to deal with the problem of outputting wrong location results, the switching function of the active distribution network is constructed to check the location results calculated by the matrix, and the results that do not meet the checking will be treated as a suspicious fault set, and the relevant evaluation function is constructed and optimized using the genetic algorithm, so as to arrive at the correct fault zone location results. The results of the example simulation show that the method used in this paper can achieve fast and fault-tolerant fault location in active distribution networks.
Voltage Compensation Method for Multi-feeder Distribution Networks Based on a UPQC with PV Injection
Authors: Shen Xielin , Yuan Bo , Peng Weiwen , Ye Hua , Dong Tiantian
Published: July 2024

In response to the problem of prolonged low voltage at the end of distribution grids, a voltage compensation method for multi-feeder distribution networks based on a unified power quality controller (UPQC) with PV injection is proposed in this paper. In the proposed scheme, two series inverters, a single parallel rectifier and photovoltaic (PV) system are flexibly interconnected via DC bus. The voltage attenuation can be compensated by the two series inverter, and the parallel rectifier is capable of supplying energy to the DC side of the two series inverters on adjacent AC feeders. Meanwhile, active power can also be supplied by the PV panel through a DC/DC converter. The operation modes and control strategies of the proposed method are analyzed in-depth. Finally, a MATLAB/Simulink model is shown to verify the effectiveness of the method proposed in this paper.
End-to-End Delay Performance Analysis for Delay-Sensitive Services in Polymorphic Networks
Authors: Wu Peng , Wu Junmin , Wang Wei , Yao Jiming , Yu Yue
Published: July 2024

In the polymorphic network for smart grid, the end-to-end latency performance analysis of delay-sensitive power control services such as differential protection and distributed power regulation is a crucial component in the intelligent control and management of power network slicing. In this paper, based on a detailed analysis of end-to-end delay factors of power control service, the distributed power regulation pilot project is taken as a typical application scenario of power control service, and the end-to-end delay of such service is theoretically derived and analyzed in detail by using network calculus theory. Numerical verification shows that the end-to-end delay performance of the power control service is positively correlated with the number of concurrent data streams and the number of subsystems and negatively correlated with the system service rate. Compared with the burst degree of the current data streams, the burst degree of other data streams significantly impacts the end-to-end delay calculation results of the current data flow.
Application Research of Multi-Model Fusion Technology in Real-Time Prediction of Dispatch Order Operation Duration
Authors: Zhang ShouTian , Pang ZhengNing , Yan WeiLong , Qi JingXian , Yang Jian , Zhao FuQuan
Published: July 2024

Power grid dispatching is a challenging task that requires dispatchers to be forward-looking in multiple aspects, with the operation of dispatch orders being one of its core tasks. Currently, the prediction of dispatch order duration relies mainly on the manual maintenance of experienced dispatchers, which is not only labor-intensive but also demands a high level of expertise. As a result, the effectiveness of existing systems in this regard is difficult to guarantee. However, due to the complexity of business scenarios, there has been no deployment of systems based on artificial intelligence algorithms. To address this issue, this paper employs multi-model fusion technology to achieve real-time prediction of dispatch order operation duration and has deployed it in Zhejiang Electric Power Company. The main contribution of this paper lies in proposing a strategy to solve the problem of regression prediction after differentiating feature fusion. Additionally, the paper provides a detailed description of how the relevant algorithms were deployed in Zhejiang Electric Power Company and presents the results of practical applications, demonstrating the effectiveness and practicality of the proposed solution.
Deviation control strategy for electric vehicle virtual energy storage dispatching instruction execution
Authors: Wang Wen , Yang Ye , Qin Jian , Li Peijun , Li Bo , Qiao Chunyan , Chen Qifang , Xue Yinjuan
Published: July 2024

As flexible resources, electric vehicles (EVs) participate in the dispatching of power grid regulation. Due to the randomness of entering and exiting the station, each EV cluster cannot fully respond to the guiding power instructions issued by the operator, resulting in biased values. This paper establishes a deviation management and control model, and proposes a local deviation control strategy and a cross-cluster collaborative deviation control strategy based on the model, so as to fully utilize the deviation control capabilities of each EV’s virtual energy storage and minimize the power deviation. The effectiveness of the proposed deviation control strategy for scheduling instructions is verified by numerical examples.
An Impulse Equivalent VSC Model for Large Power Grids Containing Multiple Converters
Authors: Ma Jiaqi , Wang Qihang , Zhang Shuqing
Published: July 2024

This paper explores the impulse equivalent method for constructing voltage source converter (VSC) model in large power grids containing multiple converters. It addresses the challenge of simulation cycle mismatch with device switching moments and proposes a cross-cycle correction method. The method enhances the VSC electromagnetic transient (EMT) simulation model, making it suitable for large-scale power grid simulations. The approach is validated through case studies, confirming its accuracy and computational efficiency for complex power electronic networks.
A Security Domain Feature Pattern Recognition Method Based on Capsule Neural Network
Authors: Deng Qiuquan , Li Ling , Zhao Ligang , Liang Zhencheng , Zhen Hongyue , Zhou Tinghui
Published: July 2024

In this paper, a security domain feature pattern recognition method based on capsule neural network is proposed. Firstly, Halton sampling is performed on the active output of all generators except for the balancing machine to obtain a uniform sample in the coverage space. Then, the support vector machine based recursive feature elimination (SVM-RFE) method is used to select the critical pre fault feature quantities of the system. Finally, based on the selected active features, one-dimensional data is converted into two-dimensional data and input into the capsule neural network. Dynamic security domain boundaries are constructed in both two-dimensional and three-dimensional spaces, which can divide the feature space into stable and unstable subspaces.
GIS Partial Discharge Pattern Recognition Based on IWOA-SVM Algorithm
Authors: Wang Jiayi , Fang Yuan , Kou Jianqiang , Xia Yankun , Zhou Dianbo , Dong Hanbin
Published: July 2024

To effectively recognize partial discharge (PD) types in gas-insulated switchgear (GIS) equipment, a novel PD pattern recognition method is proposed. This method leverages an improved whale optimization algorithm (IWOA) to optimize the support vector machine (SVM). Firstly, typical PD defects were simulated in the GIS chamber. The PRPS results demonstrated significant differences among four PD defects. Secondly, multiple feature values of PD results were calculated for feature extraction. Finally, the IWOA-SVM algorithm was employed for the recognition of PD patterns in GIS. Experimental results indicate that the IWOA-SVM algorithm can effectively recognize different PD types and the predicted accuracy rate can reach 99.1667%, which is much higher than SVM and WOA-SVM algorithms, providing information to construction units for maintenance.
State of Power Estimation Method for Hybrid Capacitor Battery Based on PSO Algorithm
Authors: Guo Yilong , Chen Siwen , Xing Shiyou , Sun Jinlei , Pan Shiyan
Published: July 2024

Hybrid Capacitive Battery (HCB) is an emerging electrochemical energy storage device that holds immense potential in the application of future energy storage systems (ESSs). When the ESS composed of HCBs is controlled and scheduled, it is necessary to understand its ability to release or absorb power. Therefore, accurate power prediction of batteries is crucial. This paper introduces a method for estimating the state of power (SOP) in HCB using the particle swarm optimization (PSO) algorithm. The method mainly consists of three parts: first, an equivalent circuit model (ECM) is employed to accurately represent the HCB, then an H-∞ filter algorithm is used to estimate its state of energy (SOE). In the third step, an optimization objective function is established based on the HCB model to describe the terminal voltage changes during its charging and discharging process, and use PSO algorithm to solve and obtain the estimated SOP results. Finally, the reference values of the SOP were obtained through constant power pulse testing experiments, proving that this method can effectively predict SOP under constant power conditions.
A Method for Calculating the Environmental Protection Cost of Cement Plants Taking into Account the Diffusion Characteristics of Air Pollutants
Authors: Li Lingfang , Zhang Jie , Chen Yixuan , Pi Shanquan , Si Tianfang
Published: July 2024

In recent years, China’s installed capacity of new energy has been continuously improved, and the problem of new energy consumption has become increasingly prominent. The cement load has considerable demand response potential and can effectively help absorb new energy sources, but its high emission characteristics limit the development of the cement industry. In this context, the establishment of a systematic and refined cement load emission cost model will be of great significance to improve the wind power absorption capacity and promote the low-carbon and environmentally friendly operation of the power system. In this paper, the emission characteristics of SO2, NOx, particulate matter and CO2 from the cement load are analyzed. according to the cement production process. Then, the air pollutant emission cost of the cement plant is described from the aspects of environmental protection tax and environmental protection supplementary cost, and the carbon emission cost of the cement plant is calculated by using the laddered carbon transaction cost model, and finally the emission cost model of the cement plant is constructed.
Integrated Controller for Fuel Cell Systems: A Full-loop Architecture
Authors: Wang Jingyu , Guo Xiaoyu , Xu Luoyun , Wang Liuchao , Lu Zhongpei , Dong Zhen
Published: July 2024

In response to the global initiative towards hydrogen energy, increasing focus has been placed on enhancing the performance, reliability and endurance of fuel cells by utilizing advanced control and monitoring strategies. However, due to the multi-variable. multi-loop and multi-physics nature of hydrogen fuel cells, the current decentralized architecture, where fuel cell controllers are isolated and placed in separate enclosures is no longer sufficient to carry out intricate coordinated control strategies. To this end, in this paper, we introduce a novel full-loop architecture, which enables the integration of the fuel cell controller, the air compressor controller, and the power electronics controller within one enclosure, reducing system size and cost. Moreover, based on the integrated hardware architecture, coordinated control such as oxygen/hydrogen pressure coordination can be carried out efficiently. A case study on electrochemical impedance spectroscopy has been conducted, demonstrating the advanced control and monitoring capabilities of this controller architecture.
Optimization Method of Electricity Package Settlement for Complex Users Based on Flexible Computing Algorithm
Authors: Liang Bo , Xie Lei , Li Hanqi , Liu Xiaohui , Wang Zixu , Zhang Jiaqi
Published: July 2024

In order to improve the settlement speed and efficiency of electricity charges, an optimization method based on a flexible computing algorithm for complex customers’ electricity charges is proposed. The model first learns the label of user information and electricity consumption data, and uses convolutional neural network to generate multiple label sets of electricity consumption data information. By establishing the flexible computing correlation model and using the improved flexible neural tree method, the hierarchical flexible classification calculation based on the electricity package is realized, and the matching between the user and the package is automatically completed by training the correlation between the labels, so as to improve the efficiency of the algorithm.
Development of All Solid State Nanosecond Pulse Transformer Fault Detection Device Based on Marx Circuit
Authors: Cai Linglong , Tai Bin , Liu Jiangnan , Ma Zhiqin , Zhou Dan , Liao Zihao , Liu Yu
Published: July 2024

a nanosecond pulse generator with a fast leading edge for transformer fault diagnosis is developed. The device is composed of a full solid-state nanosecond pulse generator based on Marx circuit and with a tail cut switch and a field programmable logic gate array (FPGA) device. Among them, the nanosecond pulse source is mainly composed of DC power supply, control circuit and main circuit. The main circuit is a 9-level modular Marx circuit, using MOSFET as the main switch and tail cut switch; The control circuit generates a synchronous trigger pulse signal, which drives the MOSFET to work synchronously after being isolated through the optical fiber. The output nanosecond pulse voltage parameters are adjustable amplitude 0-8kv, pulse width 100˜1000ns, repetition frequency 1hz˜1000hz, rising edge 30ns and falling edge 40ns. The transformer fault diagnosis platform is built, and the transformer off-line and on-line fault diagnosis is carried out, which paves the way for further exploration of transformer fault diagnosis technology.
Distribution Network Restoration Strategy Considering Mobile Energy Storage Systems
Authors: Jiang Yuliang , Zhang Guoliang , Fang Dan , Sun Ning
Published: July 2024

The increasing occurrence frequency of disruptive extreme weather events and the growing share of distributed resources further enhance the importance of restoration of distributed resource-assisted distribution networks. However, most distributed sources are not spatially flexible in scheduling, severely impacting the restoration performance of distribution networks. The emergence of mobile energy storage systems (MESS) provides temporally and spatially flexible resources. Based on the mobility of mobile energy storage, this paper proposes a distribution network restoration strategy considering MESS and prioritized restoration of critical loads. The restoration strategy is established aiming at maximizing weighted loads while satisfying multiple constraints. Specific operating characteristics of MESS are modeled and incorporated into the restoration model. The established restoration model is then reformulated into a mixed-integer second-order cone program. Case studies on a modified IEEE 33-node system verify the proposed restoration strategy.