bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Modal Heterotopia: Rethinking Makam Modality and Chordal Harmony in Interwar Rebetiko
Authors: DELEGOS SPIROS 
Published: September 2024

AbstractThis article revisits the concepts of makam modality and chordal harmony, and argues for viewing interwar rebetiko as a musico-cultural amalgamation. I explore the transcendence of the theoretical incompatibility beyond the East–West dichotomy by employing the Foucauldian concept of heterotopia as a de-ideologised analytical tool. I conduct a case study of makam Sabâ and pertinent harmonisation on the guitar, by analysing two representative historical recordings from the 1930s and interpreting them within the contemporaneous musico-cultural context. As a result, I contend that the terms “equal-tempered makam” and “idiosyncratic harmonisation” mirror expressions of modal heterotopia within interwar rebetiko.
A Model‐Based Investigation of the Recent Rebound of Shelf Water Salinity in the Ross Sea
Authors: Zhang Jingwei , Zhang Xuebin , King Matt A. , Lyu Kewei 
Published: September 2024

AbstractIntense atmosphere‐ocean‐ice interactions in the Ross Sea play a vital role in global overturning circulation by supplying saline and dense shelf waters. Since the 1960s, freshening of the Ross Sea shelf water has led to a decline in Antarctic Bottom Water formation. However, during 2012–2018, salinity of the western Ross Sea has rebounded. This study adopts a global ocean‐sea ice model to investigate the causes of this salinity rebound. Model‐based surface salinity budget analysis indicates that the salinity rebound was driven by increased brine rejection from sea ice formation, triggered by nearly equal effects of local anomalous winds and surface heat flux. The local divergent wind anomalies promoted local sea ice formation by creating a thin ice area, while cooling heat flux anomaly decreased the surface temperature, increasing sea ice production as well. This highlights the importance of understanding local climate variability in projecting future dense shelf water change.
Neutrosophic goal programming technique with bio inspired algorithms for crop land allocation problem
Authors: Angammal S. , Grace G. Hannah 
Published: September 2024

AbstractIn agriculture, crop planning and land distribution have been important research subjects. The distribution of land involves several multi-functional tasks, such as maximizing output and profit and minimizing costs. These functions are influenced by a variety of uncertain elements, including yield, crop price, and indeterminate factors like seed growth and suitable fertilizer. In order to address this problem, other researchers have used fuzzy and intuitionistic fuzzy optimization approaches, which did not include the indeterminacy membership functions. However, the neutrosophic optimization technique addresses the problem by using individual truth, falsity, and indeterminacy membership functions. So, to improve the optimal solution, the Neutrosophic Goal Programming (NGP) problem with hexagonal intuitionistic parameters is employed in this study. The membership functions for truth, indeterminacy, and falsity are constructed using hyperbolic, exponential, and linear membership functions. Minimizing the under deviations of truth, over deviations of indeterminacy, and falsity yields the NGP achievement function, which is used to attain optimal expenditure, production, and profit under the constraints of labour, land, food requirements, and water. Bio-inspired computing has been a major research topic in recent years. Optimization is mostly accomplished through the use of bio-inspired algorithms, which draw inspiration from natural behaviour. Bio-inspired algorithms are highly efficient in exploring large solution spaces, and helps to manage trade-offs between various goals, and providing the global optimal solution. Consequently, bio-inspired algorithms such as Grey Wolf Optimization (GWO), Social Group Optimization (SGO), and Particle Swarm Optimization (PSO) are employed in the current work to determine the global optimal solutions for the NGP achievement function. The data for the study was collected from the medium-sized farmers in Ariyalur District, Tamil Nadu, India. To illustrate the uniqueness and application of the developed method, the optimal solutions of the suggested method are compared with Zimmermann, Angelov, and Torabi techniques. The proposed technique demonstrates that the bioinspired algorithms’ optimal solution to the neutrosophic goal is superior to the existing approaches.
Effectiveness of wetlands as reservoirs for integrated water resource management in the Ruzizi plain based on water evaluation and planning (WEAP) approach for a climate-resilient future in eastern D.R. Congo
Authors: Chuma Géant B. , Mondo Jean M. , Wellens Joost , Majaliwa Jackson M. , Egeru Anthony , Bagula Espoir M. , Lucungu Prince Baraka , Kahindo Charles , Mushagalusa Gustave N. , Karume Katcho , Schmitz Serge 
Published: September 2024

AbstractIt is widely predicted that climate change’s adverse effects will intensify in the future, and along with inadequate agricultural practices, settlement development, and other anthropic activities, could contribute to rapid wetland degradation and thus exert significant negative effects on local communities. This study sought to develop an approach based on the Integrated Water Resource Management (IWRM) in the Ruzizi Plain, eastern Democratic Republic of Congo (DRC), where adverse effects of the climate change are increasingly recurrent. Initially, we analyzed the trends of climate data for the last three decades (1990–2022). Subsequently, the Water Evaluation and Planning (WEAP) approach was employed on two contrasting watersheds to estimate current and future water demands in the region and how local wetlands could serve as reservoirs to meeting water demands. Results indicate that the Ruzizi Plain is facing escalating water challenges owing to climate change, rapid population growth, and evolving land-use patterns. These factors are expected to affect water quality and quantity, and thus, increase pressure on wetland ecosystems. The analysis of past data shows recurrence of dry years (SPI ≤  − 1.5), reduced daily low-intensity rainfall (Pmm < 10 mm), and a significant increase in extreme rainfall events (Pmm ≥ 25 mm). The WEAP outcomes revealed significant variations in future water availability, demand, and potential stressors across watersheds. Cropland and livestock are the main water consumers in rural wetlands, while households, cropland (at a lesser extent), and other urban uses exert significant water demands on wetlands located in urban environments. Of three test scenarios, the one presenting wetlands as water reservoirs seemed promising than those considered optimal (based on policies regulating water use) and rational (stationary inputs but with a decrease in daily allocation). These findings highlight the impact of climate change in the Ruzizi plain, emphasizing the urgency of implementing adaptive measures. This study advocates for the necessity of the IWRM approach to enhance water resilience, fostering sustainable development and wetland preservation under changing climate.
FBXO38 is dispensable for PD-1 regulation
Authors: Dibus Nikol , Salyova Eva , Kolarova Karolina , Abdirov Alikhan , Pagano Michele , Stepanek Ondrej , Cermak Lukas 
Published: September 2024

AbstractSKP1-CUL1-F-box protein (SCF) ubiquitin ligases are versatile protein complexes that mediate the ubiquitination of protein substrates. The direct substrate recognition relies on a large family of F-box-domain-containing subunits. One of these substrate receptors is FBXO38, which is encoded by a gene found mutated in families with early-onset distal motor neuronopathy. SCFFBXO38 ubiquitin ligase controls the stability of ZXDB, a nuclear factor associated with the centromeric chromatin protein CENP-B. Loss of FBXO38 in mice results in growth retardation and defects in spermatogenesis characterized by deregulation of the Sertoli cell transcription program and compromised centromere integrity. Moreover, it was reported that SCFFBXO38 mediates the degradation of PD-1, a key immune-checkpoint inhibitor in T cells. Here, we have re-addressed the link between SCFFBXO38 and PD-1 proteolysis. Our data do not support the notion that SCFFBXO38 directly or indirectly controls the abundance and stability of PD-1 in T cells.
Modelling and compensation of rate‐dependent hysteresis in piezoelectric actuators based on a modified Madelung model
Authors: Li Rui , Cao Kairui , Li Zekun 
Published: September 2024

AbstractBased on the principle of weight superposition, a modified Madelung model is proposed. By combining the signal delay response characteristics (SDRC), a dynamic model and its inverse model are established to describe and compensate for the rate‐dependent hysteresis phenomenon of the piezoelectric actuators (PEAs). The effectiveness of the proposed method is verified by experiments, and the results show that the hysteresis nonlinearity of the PEA is basically eliminated, with the normalized root‐mean‐square error of 0.64% under the excitation of multi‐frequency superposition signal.
ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving
Authors: Feng Xinyun , Peng Tao , Qiao Ningguo , Li Haitao , Chen Qiang , Zhang Rui , Duan Tingting , Gong JinFeng 
Published: September 2024

AbstractDrawing inspiration from the state‐of‐the‐art object detection framework YOLOv8, a new model termed adverse weather net (ADWNet) is proposed. To enhance the model's feature extraction capabilities, the efficient multi‐scale attention (EMA) module has been integrated into the backbone. To address the problem of information loss in fused features, Neck has been replaced with RepGDNeck. Simultaneously, to expedite the model's convergence, the bounding box's loss function has been optimized to SIoU loss. To elucidate the advantages of ADWNet in the context of adverse weather conditions, ablation studies and comparative experiments were conducted. The results indicate that although the model's parameter count increased by 18.4%, the accuracy for detecting rain, snow, and fog in adverse weather conditions improved by 22%, while the FLOPs (floating point operations) decreased by 5%. The results of the comparison experiments conducted on the WEDGE dataset show that ADWNet outperforms other object detection models in adverse weather in terms of accuracy, model parameters and FLOPs. To validate ADWNet's real‐world efficacy, data was extracted from a car recorder under adverse conditions on highways, visual inference was conducted, and its accuracy was demonstrated in interpreting real‐world scenarios. The config files are available at https://github.com/Xinyun‐Feng/ADWNet.
M3D‐DPWM strategy for three‐phase four‐leg inverter with higher harmonic suppression capability
Authors: Li Ning , Shen Panpan , Li Jie , Hu Jiale , Zhang Changjie 
Published: September 2024

AbstractThree‐phase four‐leg inverters are widely used in power systems due to their inherent ability to handle unbalanced loads. However, with conventional 3D space vector pulse width modulation (3D‐SVPWM), high harmonics of large amplitude exist in the output voltage around the switching frequency and its integer multiples leading to noise in the load motor and limiting the application range of the inverter system. The passband amplification of conventional sinusoidal filters and their cutoff frequency vary with the load, so it is particularly important to investigate the regulation strategy with harmonic suppression. In this study, an improved 3D discontinuous pulse width modulation (M3D‐DPWM) strategy is proposed based on 3D‐SVPWM. By reducing the conventional 3D‐SVPWM switching segments and changing the vector synthesis sequence of the last half switching cycle, the output phase voltage period is reduced to half of the original one, which achieves the purpose of suppressing the output voltage at the switching frequency and its odd multiple high harmonics without changing the fundamental characteristics and adding additional circuits. In contrast, the conventional 3D‐SVPWM switching frequency is increased to 20 kHz to achieve similar performance. Finally, the effectiveness of the proposed strategy is verified by simulation and experiment.
Federated learning assisted distributed energy optimization
Authors: Du Yuhan , Mendes Nuno , Rasouli Simin , Mohammadi Javad , Moura Pedro 
Published: September 2024

AbstractThe increased penetration of distributed energy resources and the adoption of sensing and control technologies are driving the transition from our current centralized electric grid to a distributed system controlled by multiple entities (agents). The transactive energy community serves as an established example of this transition. Distributed energy management approaches can effectively address the evolving grid's scalability, resilience, and privacy requirements. In this context, the accuracy of agents' estimations becomes crucial for the performance of distributed and multi‐agent decision‐making paradigms. This paper specifically focuses on integrating federated learning (FL) with the multi‐agent energy management procedure. FL is utilized to forecast agents' local energy generation and demand, aiming to accelerate the convergence of the distributed decision‐making process. To enhance energy aggregation in transactive energy communities, we propose an FL‐assisted distributed consensus + innovations approach. The results demonstrate that employing FL significantly reduces errors in predicting net power demand. The improved forecast accuracy, in turn, introduces less error in the distributed optimization process, thereby enhancing its convergence behaviour.
Test and evaluation of radar systems operating in the modern electromagnetic spectrum
Authors: Fiengo Raffaele , Adams Adrian 
Published: September 2024

AbstractModern radar systems are critical infrastructure in defence and civilian applications. In the defence domain, modern radars operate in a highly contested, congested, and constrained electromagnetic environment. In the context of operating in this challenging environment, the challenges across the system life cycle are examined in testing modern radar systems which are characterised by advanced features, such as multi‐function capability, advanced digital signal processing, high resolution, wideband, and frequency agile systems that incorporate phase array and active electronically scanned array capabilities. The challenges and key objectives in testing these sophisticated modern radar systems are highlighted, as well as the enabling technologies that can support Test & Evaluation of such systems. An architecture for Hardware‐in‐the‐Loop testing, which leverages modular and flexible commercial‐of‐the‐shelf hardware, is proposed together with an application software that allows the testing of radar with a radar target generator.
Segregated by whom? Examining triple neighbourhood disadvantages and activity spaces in Seoul, South Korea
Authors: Kim Geon , Kang Seungbeom 
Published: September 2024

AbstractThis study explores the potential mechanisms by which neighbourhood isolation is created and reinforced in non-home activity locations. The existing discussion on neighbourhood isolation, its consequences, and the subsequent reproduction of interactions between individuals and their environment has focused on their residential locations. However, the vitality of a neighbourhood depends not only on its own socioeconomic conditions but also on the conditions of the other neighbourhoods its residents visit and are visited by. Residential locations are only one of the many spaces in which individuals engage in their activities; therefore, to fully comprehend people’s everyday experiences of integration and isolation, it is imperative to look at interactions within both home and non-home activity spaces. Building on this extended perspective, we examine: (1) whether residential neighbourhood isolation is intensified by socioeconomic conditions individuals’ encounter in consumption and commuting activity spaces; and (2) which socioeconomic group drives the association between residential neighbourhood isolation and activity spaces—whether both disadvantaged and privileged groups contribute to isolation through the differential use of urban space or either group predominantly leads this association. We use Seoul as a case study, characterised as a city that is highly populated, contains multiple economic centres, functions with a highly affordable and efficient public transportation system, and suffers from increasing socioeconomic segregation. The results suggest that mobility patterns in activity spaces tend to reinforce neighbourhood isolation through potential forces driven by neighbourhood homophily. Isolation in the use of urban spaces appears to be driven mainly by the self-seclusion of the most advantaged neighbourhood group, while neighbourhoods in the lower socioeconomic status groups indicate broader cross-interactions across status groups, probably because of Seoul’s transit-friendly environment. Our study contributes to enhancing the understanding of spatial-societal inequalities in Korea and beyond and could assist in formulating policies for a more balanced provision of diverse urban social services and infrastructure.
A prediction of high temperature magnetic coupling in transition metal phthalocyanines
Authors: Broadhurst James , Mallia Giuseppe , Harrison Nicholas 
Published: September 2024

In spintronics, a perennial goal has been the generation of organic spin-bearing semiconductor materials with magnetic ordering stable at room temperature. To this end, the class of transition metal phthalocyanines has shown much promise in fulfilling this ambition. In particular, alpha-phase cobalt (II) phthalocyanine (α-CoPc) exhibits strong antiferromagnetic exchange interactions producing a long range order up to ∼100 K. However, the underlying mechanism by which this magnetic interaction proceeds is not well understood. In this report, a simple mechanism has been proposed based on the Hubbard Hamiltonian, which elucidates the exchange coupling in α-CoPc. The mechanism provides stipulations for increasing the magnetic coupling, and this directs to a proposal that substitution of the central cobalt ion for rhodium will lead to a significant increase in coupling strength. The strength of this exchange interaction has been evaluated using broken symmetry hybrid exchange density functional theory and indicates that the novel rhodium (II) phthalocyanine system is indeed predicted to exhibit significantly stronger magnetic ordering. This study, therefore, identifies the coupling mechanism in α-CoPc as primarily attributable to kinetic exchange, explains its previously reported strong coupling relative to its first-row transition metal counterparts, and suggests that rhodium (II) phthalocyanine is likely to exhibit stable magnetic ordering at room temperature.
Tunable multicolor optomechanically induced transparency and slow-fast light in hybrid electro-optomechanical system
Authors: Xiao Ruijie , Pan Guixia , Liu Ye 
Published: September 2024

Abstract
We investigate the tunable multicolor optomechanically induced transparency and the effect of slow/fast light in a hybrid electro-optomechanical system, in which a degenerate optical parametric amplifier (OPA) and a

Λ
−

type three-level atomic ensemble are placed in a optical cavity with two oscillator modes. The system is driven by a strong pump field and a weak probe field, respectively. Multicolor transparency windows appear in the output field under the atom-photon-OPA-phonon-phonon coherent interaction. And the position and width of the transparent port of the output field can be manipulated by properly modifying the different parameters of the subsystem. We also research the slow/fast light effect related to phase and group delay in the probe field. Our proposal provides a great flexibility for phonon storage and has some potential applications in quantum information processing.
Quantum metamaterials with complete graph interfaces in the ultrastrong coupling regime
Authors: Zacharenko P V , Tsarev D V , Nikitina M M , Alodjants A P 
Published: September 2024

Abstract
This work studies the ultrastrong coupling (USC) regime for quantized electromagnetic (EM) fields interacting with two-level systems (qubits) arranged within the complete graph nodes of photonic networks beyond the rotating wave approximation. We show the nontrivial behavior of Bloch–Siegert (BS) phase inherent to the field is established in the structure. The collective BS phase dominates under the strong matter-field coupling condition. The network complete graph interface significantly improves the cooperativity parameter to achieve this condition. However, increasing the coupling parameter essentially beyond the strong coupling condition causes saturation effects that suppress the collective photonic phase. We demonstrate that in the USC regime the EM field exhibits the features of a single qubit BS phase enhanced by the network connectivity. Our findings open new perspectives in quantum information processing with superconductor metamaterials.
Visualizing the quantum phase transition by using quantum steering ellipsoids in the anisotropic spin XY model
Authors: Liu Cheng-Cheng , Sun Ze-Wei , Fan Xiao-Gang , Ding Zhi-Yong , Guo Ze-Qing , Du Ming-Ming , He Juan , Wu Tao , Ye Liu 
Published: September 2024

Abstract
Quantum steering ellipsoids (QSEs) can serve as a useful geometric tool for describing both the strength and type of quantum correlations between two subsystems of a compound system. By employing the quantum renormalization-group method, we focus on investigating the relation between QSEs and the quantum phase transition (QPT) in the anisotropic spin XY model. The results indicate that the QPT is well visualized in terms of the shape of the QSE, i.e. it is an oblate spheroid in the spin-fluid phase and a needle in the Néel phase. Meanwhile, after several iterations of renormalization, the QSE volume V undergoes a contraction mutation, and can develop two saturated values at the critical points associated with the QPT, which correspond to two different phases: the spin-fluid phase and the Néel phase. We also find that the QSE is closely associated with quantum entanglement in the model, i.e. the volume of the QSE between blocks is more than 4π/81 when the system is in the spin-fluid phase, which indicates that the system must be entangled. Furthermore, the nonanalytic and scaling behaviors of the volume of the QSE have been analyzed in detail, and the results convince us that the quantum critical properties are connected with the behavior of the QSE.