bluuebunny/crossref_metadata_2025_split huggingface dataset:
SOC Balance Control Strategy for Distributed Energy Storage System in DC Microgrid
Authors: Wu Chenjin , Wu Chenghao , Zou Jianlong , Yan Luyang 
Published: December 2023

Abstract
By integrating a distributed energy storage system (ESS), a standalone DC microgrid can maintain power balance and voltage stability between distributed energy sources and loads. However, without establishing the relationship between the output power of the distributed energy storage units and their state of charge (SOC), inconsistent SOC among the storage units can occur. This inconsistency can lead to issues such as overcharging and over-discharging, significantly impacting the ESS lifespan. To address this, the paper proposes a SOC droop control scheme utilizing the arctangent function to rapidly achieve SOC balancing of the energy storage units. During the SOC balancing process, as the SOC difference between units decreases, the balancing speed also decreases. To overcome this, a variable acceleration factor is introduced in the arctangent function SOC droop control strategy. This can ensure a progressive increment in the acceleration factor as the SOC gap between energy storage units diminishes. In addition, the integration of DC bus voltage compensation control effectively mitigates voltage deviations within the bus. Finally, the paper presents and simulates a variable acceleration factor-based arctangent function SOC droop control. It demonstrates its effectiveness in achieving SOC balance and maintaining stable bus voltage during charging and discharging scenarios in distributed energy storage systems.
Scheduling optimization of IES based on improved particle swarm algorithm
Authors: Zhao Yuan , Shi Leiming , Chen Shunyi , Sun Boyang , Zheng Yingxia , Gao Jun , Xu Zhichao , Wang Dabiao , An Qingsong 
Published: December 2023

Abstract
The integrated energy system (IES) has been a qualified candidate for solving the problems of energy utilization and environmental pollution. In this study, an improved IES scheduling optimization model based on an improved particle swarm algorithm is established, and the daily operating cost is taken as the objective function. Constraints on the energy supply and consumption sides are fully considered. The results show that with the energy storage conversion scheduling strategy participating in the optimization, the daily cost is significantly decreased by 10.5%. Compared with the genetic algorithm with elite strategy, the particle swarm algorithm is more suitable for the IES, with the lowest daily cost of $ 6, 193. Besides, the improved annealing particle swarm algorithm has better adaptability when facing high-dimensional multimodal function problems, and performs better on global search and local optimization.
Effect of Permanent Magnet Segmentation Structure on Eddy Current Loss of Permanent Magnet Synchronous Motor
Authors: Yang Jiajia , Wu Rujun , Wang Chenbing 
Published: December 2023

Abstract
For this essay, the mechanism of cutting a magnet to reduce its loss is investigated using the equivalent circuit of magnet segmentation, and the method is verified by the finite element method. The results indicate that the segmentation of magnets can effectively reduce the eddy current loss of magnets. The larger the product of segmented lengths is, the smaller the eddy current loss is. The higher the number of segments is, the lower of loss value is. The rotational speed and eddy current loss are in the square. Load multiple and eddy current loss is in cubic growth.
Multi-heterogeneous Data Synchronization Method for New Generation Substation Monitoring System
Authors: Diao Dongyu , Pan Hongxiang , Li Zhaoguo , Zhang Ting , Ju Lu , Liu Zechen 
Published: December 2023

Abstract
In principle, the new generation substation monitoring system no longer has duplicate data collection across safety partitions. To avoid information islands between nodes of different safety partitions and to realize efficient interconnection and interoperability of different types of information, this paper proposes a multivariate heterogeneous data synchronization method for the new generation substation monitoring system. Firstly, the overall framework of the structured data synchronization method, synchronization data encapsulation modeling, cache format construction, and subgroup and group packet processing are introduced; secondly, the overall architecture of the unstructured data synchronization method is introduced, including full data updating and difference data updating, and the latter improves the efficiency of data chunking and achieves the incremental synchronization process of the difference by the fast CDC method based on the identification of the local difference; finally, the test validation is carried out based on the actual data for testing and validation. The results show that the multivariate heterogeneous data synchronization methods are 100% correct, and the incremental difference synchronization saves more than 70% of the synchronization time.
Consortium Blockchain-based Measurement Data Trusted Sharing and Interaction in New Power System
Authors: Li Chunyang , Zhang Chongchao , Gao Liyuan , Liu Sida 
Published: December 2023

Abstract
The trusted sharing and interaction of power measurement data are crucial in developing new-type power systems. However, there are some problems, such as complex interaction environments and data privacy leaks in the flow process of electric measurement data. We first design a measurement data sharing and interaction information uplink storage scheme based on consortium blockchain certificate storage. Then, a credibility-based blockchain consensus mechanism is designed to reduce the burden of blockchain storage. The experiment shows that the proposed method performs better in sharing power measurement data.
A Method for Rotor Position Detection of PMSM Using Filterless Square Wave Signal Injection
Authors: Li Buchuan , Bai Yinru , Wang Shuhong , Sun Yiming 
Published: December 2023

Abstract
Frequency signal injection is commonly utilized in sensorless control of PMSM in low-speed operation. The HF square-wave injection technique eliminates the need for filters and enhances the system’s dynamic performance. Experiments have shown that when the motor is operating at a significantly low speed, the identification error caused by this method is too large, which often leads to the motor being difficult to start or out of control. In this paper, we provide an in-depth analysis of the HF-SWIM and suggest improvements to improve the response of the system and reduce the steady-state error of the identification. These improvements include refining the high-frequency separation formulation and improving the position observer. Simulations confirm the efficacy of the proposed method.
Research on Optimal Control Method of Load Side Virtual Power Plant Based on Cloud Edge Collaboration
Authors: Xu Zhenan , Wen Aijun , Jiang Yuzi , Huang Shu , Zhao Yang , Jin Siyu 
Published: December 2023

Abstract
With the advancement of new power system construction, the large-scale layout of new energy power generation has gradually become a new format, and the overall new energy presents the characteristics of “rapid development of installed capacity, an increased proportion of low-voltage grid connection, and ultra-high penetration rate in some areas”. Under the new situation of power generation, power transmission, power distribution, and power consumption, to solve the problem of efficient and friendly interaction of “source, network, load and storage” in the power system and the consumption of renewable energy, “virtual power plant” came into being. However, there are limitations in aggregating resources in virtual power plants. To improve the effective participation of users, such as medium and low loads in power grid interaction, this article designs and implements a load-side virtual power plant control software system based on cloud-side collaboration. We use the virtual power plant operation control system to realize resource bidding and flexible participation in the response. The system can flexibly aggregate multiple types of resources through deployment verification, effectively realize precise tracking of instructions, and guarantee effective grid interaction.
Development of sweeping detector phase contrast imaging in Large Helical Device
Authors: Sakai H. , Tanaka K. , Kinoshita T. 
Published: December 2023

Abstract
Phase contrast imaging (PCI) has been used for the turbulence profile measurement in Large Helical Devices; however, it does not have sufficient spatial resolution owing to the small number of two-dimensional (2D) detector elements. Therefore, in this study, we limited the measurement target to steady-state plasmas and conduct a pseudo multichanneling of a 2D detector array by sweeping using a one-dimensional detector. This new system is called SD-PCI. SD-PCI needs two detectors, one is one-dimensional detector and the other is single channel detector. By selecting suitable detector and imaging magnification for target turbulence or device characteristics, SD-PCI demonstrates the potential capability and enhancements. The wavenumber spectra comparison from the correlation calculations of the simultaneous measurement of the actual plasma with conventional 2D-PCI and proposed SD-PCI shows that SD-PCI is as effective as 2D-PCI in spectral broadening. The simplicity of the proposed system is expected to be applicable to various devices. In this paper, the SD-PCI system was explained along with the initial results of the 2D wavenumber spectrum calculation, which was necessary for obtaining turbulence profile.
Geographic variation in individual face learning based on plasticity rather than local genetic adaptation in Polistes wasps
Authors: Simons Meagan , Green Delbert A , Tibbetts Elizabeth A 
Published: December 2023

Abstract
Signals and receiver responses often vary across a species’ geographic range. Effective communication requires a match between signal and receiver response, so there is much interest in the developmental mechanisms that maintain this link. Two potential mechanisms are genetic covariance between signal and receiver response and plasticity where individuals adjust their phenotype based on their partner’s phenotype. Here, we test how plasticity contributes to geographic variation in individual face recognition in Polistes fuscatus wasps. Previous work has shown that P. fuscatus from Michigan, USA (MI) have variable facial patterns used for individual recognition, while P. fuscatus from central Pennsylvania, USA (PA) lack variable facial patterns and are unable to learn individual conspecifics. We experimentally altered rearing environment, so wasps were either reared with their own population or in a common garden with wasps from both populations. Then, we tested the wasps’ capacity to learn and remember individual conspecific faces. Consistent with previous work, MI wasps reared with MI wasps were adept at learning conspecific faces, while PA wasps reared with PA wasps were unable to learn conspecific faces. However, MI and PA wasps reared in a common garden developed similar, intermediate capacity for individual face learning. These results indicate that individual face learning in Polistes wasps is highly plastic and responsive to the social environment. Plasticity in receiver responses may be a common mechanism mediating geographic differences in non-sexual signaling systems and may play a role in maintaining links between signals and receiver responses in geographically variable communication systems.
Peregrine falcons shift mean and variance in provisioning in response to increasing brood demand
Authors: McKinnon Rebekah A , Hawkshaw Kevin , Hedlin Erik , Nakagawa Shinichi , Mathot Kimberley J 
Published: December 2023

Abstract
The hierarchical model of provisioning posits that parents employ a strategic, sequential use of three provisioning tactics as offspring demand increases (e.g., due to increasing brood size and age). Namely, increasing delivery rate (reducing intervals between provisioning visits), expanding provisioned diet breadth, and adopting variance-sensitive provisioning. We evaluated this model in an Arctic breeding population of Peregrine falcons (Falco peregrinus tundrius) by analyzing changes in inter-visit-intervals (IVIs) and residual variance in IVIs across 7 study years. Data were collected using motion-sensitive nest camera images and analyzed using Bayesian mixed effect models. We found strong support for a decrease in IVIs (i.e., increase in delivery rates) between provisioning visits and an increase in residual variance in IVIs with increasing nestling age, consistent with the notion that peregrines shift to variance-prone provisioning strategies with increasing nestling demand. However, support for predictions made based on the hierarchical model of tactics for coping with increased brood demand was equivocal as we did not find evidence in support of expected covariances between random effects (i.e., between IVI to an average sized brood (intercept), change in IVI with brood demand (slope) or variance in IVI). Overall, our study provides important biological insights into how parents cope with increased brood demand.
Central limit theorems for local network statistics
Authors: Maugis P A 
Published: December 2023

Summary
Subgraph counts, in particular the number of occurrences of small shapes such as triangles, characterize properties of random networks. As a result, they have seen wide use as network summary statistics. Subgraphs are typically counted globally, making existing approaches unable to describe vertex-specific characteristics. In contrast, rooted subgraphs focus on vertex neighbourhoods, and are fundamental descriptors of local network properties. We derive the asymptotic joint distribution of rooted subgraph counts in inhomogeneous random graphs, a model that generalizes most statistical network models. This result enables a shift in the statistical analysis of graphs, from estimating network summaries to estimating models linking local network structure and vertex-specific covariates. As an example, we consider a school friendship network and show that gender and race are significant predictors of local friendship patterns.
Guselkumab demonstrates long-term efficacy and maintenance of treatment response postwithdrawal in systemic treatment-naïve patients and nonresponders to fumaric acid esters: results from parts II and III of a randomized active-comparator-controlled phase IIIb trial (POLARIS)
Authors: Thaçi Diamant , Pinter Andreas , Sebastian Michael , Termeer Christian , Sticherling Michael , Gerdes Sascha , Schäkel Knut , Wegner Sven , Krampe Stefanie , Bartz Holger , Rausch Christian , Taut Friedemann , Eyerich Kilian 
Published: December 2023

Abstract

Background
The anti-interleukin-23 antibody guselkumab (GUS) demonstrated favourable week 24 efficacy and safety over fumaric acid esters (FAE) in systemic treatment-naïve patients with moderate-to-severe plaque psoriasis (study part I).

Objectives
To compare, in study part II, the sustainability of treatment responses (weeks 24–32) in GUS- and FAE-treated patients and treatment responses (weeks 32–56) in patients treated with GUS and FAE and in FAE nonresponders switching to GUS; and, in part III, to investigate the maintenance of response through week 100 in patients withdrawn from GUS at week 56.

Methods
At week 0, systemic treatment-naïve patients were randomized 1 : 1 to GUS or FAE as per label. At week 32, patients with a Psoriasis Area and Severity Index (PASI) 75 (≥ 75% improvement in PASI score) response (r) continued assigned treatment (GUSr-GUS; FAEr-FAE), whereas nonresponders (nr) received GUS (FAEnr-GUS; GUSnr-GUS). GUS-treated patients with a week 56 PASI 90 response (≥ 90% improvement in PASI score) were withdrawn (w) and followed until loss of response or week 100.

Results
At week 32, 98% (n = 54/55) of GUS- and 41% (n = 14/34) of FAE-treated patients were PASI 75 responders. At week 56, 91%, 50% and 80% of GUSr-GUS, FAEr-FAE and FAEnr-GUS patients, respectively, achieved a PASI 90 response; 72%, 29% and 45%, respectively, achieved a Dermatology Life Quality Index score of 0/1. At week 100, 44 weeks postwithdrawal, 47% (n = 17/36) and 25% (n = 3/12) of GUS-GUSw and FAE­GUSw patients, respectively, maintained a PASI score ≤ 5. Overall, the adverse event and discontinuation rates were lower for GUS than FAE.

Conclusions
In these exploratory analyses, GUS, as a first-line systemic treatment or second-line systemic treatment in FAE nonresponders, was associated with long-term clinical efficacy up to week 100, including a withdrawal period.
Metformin treatment is associated with reduced risk of hypoglycaemia, major adverse cardiovascular events, and all-cause mortality in patients with post-pancreatitis diabetes mellitus: a nationwide cohort study
Authors: Davidsen Line , Jensen Morten H , Cook Mathias E , Vestergaard Peter , Knop Filip K , Drewes Asbjørn M , Olesen Søren S 
Published: December 2023

Abstract

Objective
Post-pancreatitis diabetes mellitus (PPDM) is a frequent complication of pancreatitis and is associated with an increased risk of adverse outcomes. Metformin is recommended for the treatment of PPDM, but evidence of its risk-benefit profile is limited. In a pharmaco-epidemiologic study, we investigated the association between metformin treatment and adverse outcomes in patients with PPDM.

Design and Methods
In a Danish nationwide population-based cohort study, we included adults (≥18 years) with incident PPDM or type 2 diabetes between 2009 and 2018. Post-pancreatitis diabetes mellitus was categorised into acute and chronic subtypes (PPDM-A and PPDM-C). Associations between metformin treatment and severe hypoglycaemia, major adverse cardiovascular events (MACE), and all-cause mortality were examined across the diabetes subgroups using Cox regression analysis. Treatments with metformin, insulin, and other glucose-lowering therapies were handled as time-varying exposures.

Results
We included 222 337 individuals with new-onset type 2 diabetes and 3781 with PPDM, of whom 2305 (61%) were classified as PPDM-A and 1476 (39%) as PPDM-C. Treatment with metformin was associated with a lower risk of severe hypoglycaemia (adjusted hazard ratio [HR] 0.41, 95% CI 0.27-0.62, P &lt; .0001), MACE (HR 0.74, 95% CI 0.60-0.92, P = .0071), and all-cause mortality (HR 0.56, 95% CI 0.49-0.64, P &lt; .0001) in patients with PPDM. In sensitivity analyses and among individuals with type 2 diabetes, metformin treatment exhibited comparable trends of risk reduction.

Conclusions
Metformin is associated with a lower risk of adverse outcomes, including all-cause mortality in patients with PPDM, supporting the use of metformin as a glucose-lowering therapy for these patients.
Changes in Adiposity and Cognitive Function in Older Adults: The REGARDS Study
Authors: Zhu Wenfei , Li Yanbing , Zhao Chenxi , Howard Virginia J , Wadley Virginia G , Judd Suzanne E , Colabianchi Natalie , McClure Leslie A , Hooker Steven P , Sun Yuliang 
Published: December 2023

Abstract

Objectives
Adiposity may have a role in the risk of dementia. Fewer studies have focused on the relationship between change in adiposity and cognitive decline. Our study aimed to explore the association between the change in adiposity and cognitive function in Black and White older adults.

Methods
The participants were 12,204 older adults without cognitive impairment (62.8 ± 8.0 years) in the United States. The percent body mass index change (%BMI change) and percent waist circumference change (%WC change) were measured at 2 in-home visits (first: 2003–2007, second: 2013–2016). Cognitive status was assessed by the Six-Item Screener annually. Memory and executive function were measured by word list learning, MOCA recall and orientation, and letter and animal fluency every 2 years. Logistic regression or linear regression models were used to estimate the relationship between percent change in adiposity and cognitive function.

Results
After 12.7 ± 1.7 years, a greater decrease in %BMI change or %WC change was significantly associated with a higher risk of cognitive impairment. Compared to older adults with −5% ≤ change ≤ 5% from baseline, a significantly higher risk of cognitive impairment and greater loss in memory and executive function were found among those who experienced more than a 10% decline in %BMI change or %WC change. Older adults who experienced a 5%–10% decrease in %BMI change had a higher risk of cognitive impairment and greater loss of memory compared to those with −5% ≤ change ≤ 5%.

Discussion
A greater decrease in %BMI (&gt;5%) and %WC (&gt;10%) change was associated with greater cognitive loss observed over time.
DEMENTIA INTERVENTION STAFF AND CAREGIVER PERSPECTIVES ON THE DELIVERY OF ADS PLUS
Authors: Gaugler Joseph , Cotton Quinton , Albers Elizabeth , Ingvalson Stephanie N , Skalla Emily , Gitlin Laura 
Published: December 2023

Abstract
Interventions targeting persons living with dementia (PLWDs) provide an optimal touchpoint in the service delivery continuum for addressing the growing unmet needs of unpaid/family dementia caregivers. Services such as Adult Day Services (ADS) that generally target PLWDs can be enhanced by embedding an intervention that specifically targets informal caregivers. In a trial evaluating the ADS Plus intervention, open-ended feedback from ADS intervention staff and participants provided insights to improve the administrative, programmatic, and user experience of ADS Plus. Drawing on individual qualitative interviews (n=24), we conducted a thematic analysis revealing insights into the critical implementation factors supporting the effective delivery of ADS Plus. Identified themes included: 1) the relational, or person-centered, nature of the ADS Plus program, 2) the role of learning throughout implementation, 3) the influence of administrative structure on program delivery, and 4) contributors to the acceptability of ADS Plus. Our findings suggest that caregivers draw on multiple supports but that individually tailored supports for dementia care management must address the emotional needs of caregivers through relational intervention models. The effective delivery of ADS Plus was facilitated by perceived intervention benefits to caregivers, robust yet reasonable training for intervention staff, and the opportunity for adaptability in program delivery.