bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and analysis of electric spring based on battery-less current-source inverter
Authors: He Yumin , Gu Tingyun , Li Bowen , Wang Yu , Qiu Dongyuan , Zhang Yang , Qiu Peicheng 
Published: February 2024

Purpose
Electric spring (ES) is a demand response method that can stabilize the voltage of critical loads and improve power quality, especially in a weak power grid with a high proportion of renewable energy sources. Most of existing ESs are implemented by voltage-source inverter (VSI), which has some shortcomings. For example, the DC-link capacitor limits the service life of ES, and the battery is costly and hard to recycle. Besides, conventional VSI cannot boost the voltage, which limits the application of ES in high-voltage occasions. This study aims to propose a novel scheme of ES to solve the above problems.

Design/methodology/approach
In this work, an ES topology based on current-source inverter (CSI) without a battery is presented, and a direct current control strategy is proposed. The operating principles, voltage regulation range and parameter design of the proposed ES are discussed in detail.

Findings
The proposed ES is applicable to various voltage levels, and the harmonics are effectively suppressed, which have been validated via the experimental results in both ideal and distorted grid conditions.

Originality/value
An ES topology based on battery-less CSI is proposed for the first time, which reduces the cost and prolongs the service time of ES. A novel control strategy is proposed to realize the functions of voltage regulation and harmonic suppression.
Contextual factors and virtual professional learning communities in Maldivian schools
Authors: Rasheed Aminath Adhala , Albattat Ahmad , Azam S. M. Ferdous 
Published: February 2024

PurposeVirtual professional learning communities provide digital platforms for teachers across the globe to join learning networks and engage in continuous and unrestricted learning. This study aimed to explore the impact of contextual factors on establishing virtual professional learning communities in Maldivian schools.Design/methodology/approachThis quantitative study used a sample of 420 Maldivian in-service teachers chosen using two-stage cluster sampling and a stratified random sampling method.FindingsThe findings revealed that all three contextual factors – micro-, meso- and macro-contextual – positively and significantly influenced the virtual professional learning communities.Practical implicationsThese findings recommend an integrated framework with micro-, meso- and macro-contextual factors as valuable instruments for educational leaders striving to establish virtual Professional Learning Communities (PLCs).Originality/valueThis study is among the first to examine the association of contextual factors of schools with the establishment of virtual PLCs in a country such as the Maldives, with geographically dispersed islands and limited resources.
Perceived interactivity in real estate APP increases consumers' psychological well-being: a moderated mediation model
Authors: Yang Maosheng , Feng Lei , Zhou Honghong , Chen Shih-Chih , Lim Ming K. , Tseng Ming-Lang 
Published: February 2024

PurposeThis study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing application of human–machine interaction in real estate APP, it is crucial to utilize human–machine interaction to stimulate perceived interactivity between humans and machines to positively impact consumers' psychological well-being and sustainable development of real estate APP. However, it is unclear whether perceived interactivity improves consumers' psychological well-being.Design/methodology/approachThis study proposes and examines a theoretical model grounded in the perceived interactivity theory, considers the relationship between perceived interactivity and consumers' psychological well-being and explores the mediating effect of perceived value and the moderating role of privacy concerns. It takes real estate APP as the research object, analyses the data of 568 consumer samples collected through questionnaires and then employs structural equation modelling to explore and examine the proposed theoretical model of this study.FindingsThe findings are that perceived interactivity (i.e. human–human interaction and human–information interaction) positively influences perceived value, which in turn affects psychological well-being, and that perceived value partially mediates the effect of perceived interaction on psychological well-being. More important findings are that privacy concerns not only negatively moderate human–information interaction on perceived value, but also negatively moderate the indirect effects of human–information interaction on users' psychological well-being through perceived value.Originality/valueThis study expands the context on perceived interaction and psychological well-being in the field of real estate APP, validating the mediating role and boundary conditions of perceived interactivity created by human–machine interaction on consumers' psychological well-being, and suggesting positive implications for practitioners exploring human–machine interaction technologies to improve the perceived interaction between humans and machines and thus enhance consumer psychological well-being and span sustainable development of real estate APP.
Climate change management in manufacturing industry: a greenhouse gas inventorisation and mitigation approach
Authors: Dwarakanath M. , Gedam Vidyadhar , Krishna Kadirvelu , M.S. Narassima , Prabhu P. , Nandi Varman 
Published: February 2024

Purpose
Industries worldwide have been striving to serve the increasing demand of consumers alongside providing importance to environmental issues. Yet, there are concern-raising changes on the planet, such as greenhouse gas (GHG) emissions resulting in a temperature rise. India remains a vital party of the United Nations Convention on Climate Change. Henceforth, the paper aims to study the increased emissions of GHG in Puducherry, an Indian Union Territory that faces tremendous pressure owing to its denser population.

Design/methodology/approach
The research is designed as a case study conducted in a tyre manufacturing unit in Puducherry. The industrial sector was chosen, as it is the largest contributor (78%) of the total GHG emissions. Case studies were chosen to analyse the GHG emissions and the effects of implementing the policies and imposing interventions over time. The identified areas of improvement, proposed changes and the implemented ones with the results over a three-year period have been discussed.

Findings
The present study’s GHG inventorisation for Puducherry paved the way for preparing mitigation and adaptation plans. A total of 21 and 48 changes were incorporated to conserve fuel and power, respectively. A significant 11% reduction in power consumption and 1,113,008/litres of furnace oil was achieved. This translates to 5,115 tCO2 and 3,306 tCO2, respectively.

Practical implications
This research will help to improve the importance of climate change management in the manufacturing sector, and it will pave the way for achieving effective sustainable practices.

Originality/value
Such case studies could cumulatively impact the policy directives/ interventions on GHG emissions. Though this seems a small leap, putting them into practice at firm levels would contribute significantly towards achieving Sustainable Development Goals.
Freight train derailment severity prediction: a physics-informed one-dimensional model
Authors: Kang Di , Kirkpatrick Steven W. , Zhang Zhipeng , Liu Xiang , Bian Zheyong 
Published: February 2024

Purpose
Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is to propose a simplified approach aimed at addressing this research gap by developing a physics-informed 1-D model. The model is used to simulate train dynamics through a time-stepping algorithm, incorporating derailment data after the point of derailment.

Design/methodology/approach
In this study, a simplified approach is adopted that applies a 1-D kinematic analysis with data obtained from various derailments. These include the length and weight of the rail cars behind the point of derailment, the train braking effects, derailment blockage forces, the grade of the track and the train rolling and aerodynamic resistance. Since train braking/blockage effects and derailment blockage forces are not always available for historical or potential train derailment, it is also necessary to fit the historical data and find optimal parameters to estimate these two variables. Using these fitted parameters, a detailed comparison can be performed between the physics-informed 1-D model and previous statistical models to predict the derailment severity.

Findings
The results show that the proposed model outperforms the Truncated Geometric model (the latest statistical model used in prior research) in estimating derailment severity. The proposed model contributes to the understanding and prevention of train derailments and hazmat release consequences, offering improved accuracy for certain scenarios and train types

Originality/value
This paper presents a simplified physics-informed 1-D model, which could help understand the derailment mechanism and, thus, is expected to estimate train derailment severity more accurately for certain scenarios and train types compared with the latest statistical model. The performance of the braking response and the 1-D model is verified by comparing known ride-down profiles with estimated ones. This validation process ensures that both the braking response and the 1-D model accurately represent the expected behavior.
Distribution characteristics of antibiotic resistance in direct-eating food and analysis of Citrobacter freundii genome and pathogenicity
Authors: Wang Qing , Wang Xuening , Sun Shaojing , Wang Litao , Sun Yan , Guo Xinyan , Wang Na , Chen Bin 
Published: February 2024

Purpose
This study aims to study the distribution characteristics of antibiotic resistance in direct-eating food and analysis of Citrobacter freundii genome and pathogenicity. Residual antibiotics and antibiotic resistance genes (ARGs) in the environment severely threaten human health and the ecological environment. The diseases caused by foodborne pathogenic bacteria are increasing daily, and the enhancement of antibiotic resistance of pathogenic bacteria poses many difficulties in the treatment of disease.

Design/methodology/approach
In this study, six fresh fruits and vegetable samples were selected for isolation and identification of culturable bacteria and analysis of antibiotic resistance. The whole genome of Citrobacter freundii isolated from cucumber was sequenced and analyzed by Oxford Nanopore sequencing.

Findings
The results show that 270 strains of bacteria were identified in 6 samples. From 12 samples of direct food, 2 kinds of probiotics and 10 kinds of opportunistic pathogens were screened. The proportion of Citrobacter freundii screened from cucumber was significantly higher than that from other samples, and it showed resistance to a variety of antibiotics. Whole genome sequencing showed that Citrobacter freundii was composed of a circular chromosome containing signal peptides, transmembrane proteins and transporters that could induce antibiotic efflux, indicating that Citrobacter freundii had strong adaptability to the environment. The detection of genes encoding carbohydrate active enzymes is more beneficial to the growth and reproduction of Citrobacter freundii in crops. A total of 29 kinds of ARGs were detected in Citrobacter freundii, mainly conferring resistance to fluoroquinolones, aminoglycosides, carbapenem, cephalosporins and macrolides. The main mechanisms are the change in antibiotic targets and efflux pumps, the change in cell permeability and the inactivation of antibiotics and the detection of virulence factors and ARGs, further indicating the serious risk to human health.

Originality/value
The detection of genomic islands and prophages increases the risk of horizontal transfer of virulence factors and ARGs, which spreads the drug resistance of bacteria and pathogenic bacteria more widely.
Investment in regeneration versus asexual reproduction is resource‐dependent in a freshwater annelid
Authors: Rennolds Corey W. , Bely Alexandra E. 
Published: February 2024

Abstract

The post‐embryonic developmental processes of regeneration and asexual agametic reproduction are widespread and often co‐occur in animals. These traits are of great ecological significance, but their physiological dynamics within species are not well understood. In naid annelids, regeneration and asexual reproduction via fission are evolutionarily related and mechanistically similar yet distinct, making these animals useful systems in which to study resource allocation strategies between the two processes.

How asexual reproductive investment varies as a function of somatic investment demands was tested in the naid Pristina leidyi by repeatedly amputating the heads of individual worms, allowing regeneration to proceed, and measuring reproductive output over time. Treatments were replicated under high and low food levels to determine to what extent the investment dynamic between regeneration and fission is affected by the resource pool.

Reproductive output was affected by injury and regeneration frequency in a resource‐dependent manner, such that only worms with less food availability exhibited reproductive deficits; injury and regeneration did not affect reproductive output of worms under the high food condition. When reproductive output was decreased, this occurred not through a reduction in offspring quantity but a reduction in offspring quality. In the offspring of experimental animals, body size and fission speed were dependent on parental feeding level and to a lesser and inconsistent extent on parental injury history, but regeneration speed was unaffected by parental treatment.

These findings suggest that, in a species capable of both regeneration and asexual reproduction: (1) the resource pool is a key factor mediating the resource investment pattern between regeneration and fission; (2) sacrificing per‐offspring investment rather than fecundity may be an optimal strategy if resources are limiting; (3) regeneration and fission have evolved distinct resource allocation pathways. This work prompts further questions about the physiological dynamics between regeneration and asexual reproduction in animals, such as whether and to what extent these have evolved adaptively, including in response to injury and resource pressures.

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Editorial: The prevalence and outcomes of perianal Crohn's disease across treatment eras
Authors: Tassone Daniel , Hartley Imogen , Ding Nik Sheng 
Published: February 2024

LINKED CONTENTThis article is linked to Gonczi et al papers. To view these articles, visit https://doi.org/10.1111/apt.17836 and https://doi.org/10.1111/apt.17879
Editorial: The prevalence and outcomes of perianal Crohn's disease across the treatment eras—Authors' reply
Authors: Gonczi Lorant , Lakatos Laszlo , Ilias Akos , Lakatos Peter L. 
Published: February 2024

LINKED CONTENTThis article is linked to Gonczi et al papers. To view these articles, visit https://doi.org/10.1111/apt.17836 and https://doi.org/10.1111/apt.17861
Evaluating outcomes following adolescent and youth mental health inpatient admissions: A systematic review
Authors: Hsu Chia Jie , Ayres Alice , Payne Leanne 
Published: February 2024

AbstractAimIncreasing rates of mental illness among young people, exacerbated by the negative impacts of COVID‐19, has resulted in growing pressure on available psychiatric resources to meet increasing demand. Inpatient units provide specialist care for young people with the most severe and complex mental disorders but are one of the most expensive models of psychiatric care. The aim of this review is to provide an update on the effectiveness of adolescent and youth mental health inpatient units in improving outcomes to inform the most efficacious use of psychiatric resources.MethodsSystematic searches of PubMed, The Cochrane Library, PsycINFO, EMBASE, and Web of Science were conducted for studies published in English between January 2011 to May 2022. Criteria for selection included participants aged 12–25 years who had been admitted to amental health inpatient unit. Studies were excluded if set in substance abuse or disability specific units, outpatient or forensic settings, or assessed novel interventions.Results23 studies were identified as meeting inclusion criteria, with most (n = 19) utilizing a pre‐post observational design and reporting improvement across various domains following inpatient treatment. A total of 24 different outcome measures or methods were used meaning a meta‐analysis of results was not possible. There was also a lack of consistency across models of care, lengths of stay, admission policies, and interventions provided.ConclusionInpatient units provide positive outcomes for consumers however a clear understanding of clinical significance and comparison to other treatment settings is lacking.
The role of plasticity and stochasticity in coexistence
Authors: Kalirad Ata , Sommer Ralf J. 
Published: February 2024

AbstractSpecies coexistence in ecological communities is a central feature of biodiversity. Different concepts, i.e., contemporary niche theory, modern coexistence theory, and the unified neutral theory, have identified many building blocks of such ecological assemblies. However, other factors, such as phenotypic plasticity and stochastic inter‐individual variation, have received little attention, in particular in animals. For example, how resource polyphenisms resulting in predator–prey interactions affect coexistence is currently unknown. Here, we present an integrative theoretical–experimental framework using the nematode plasticity model Pristionchus pacificus with its well‐studied mouth‐form dimorphism resulting in cannibalism. We develop an individual‐based model that relies upon synthetic data based on our empirical measurements of fecundity and polyphenism to preserve demographic heterogeneity. We demonstrate how the interplay between plasticity and individual stochasticity result in all‐or‐nothing outcomes at the local level. Coexistence is made possible when spatial structure is introduced.
Diagnostic performance of shear wave measurement in the detection of hepatic fibrosis: A multicenter prospective study
Authors: Kumada Takashi , Toyoda Hidenori , Ogawa Sadanobu , Gotoh Tatsuya , Yoshida Yuichi , Yamahira Masahiro , Hirooka Masashi , Koizumi Yohei , Hiasa Yoichi , Tamai Tsutomu , Kuromatsu Ryoko , Matsuzaki Toshihisa , Suehiro Tomoyuki , Kamada Yoshihiro , Sumida Yoshio , Tanaka Junko , Shimizu Masahito 
Published: February 2024

AbstractAimThis study aimed to establish the shear wave measurement (SWM) cut‐off value for each fibrosis stage using magnetic resonance (MR) elastography values as a reference standard.MethodsWe prospectively analyzed 594 patients with chronic liver disease who underwent SWM and MR elastography. Correlation coefficients (were analyzed, and the diagnostic value was evaluated by the area under the receiver operating characteristic curve. Liver stiffness was categorized by MR elastography as F0 (<2.61 kPa), F1 (≥2.61 kPa, <2.97 kPa, any fibrosis), F2 (≥2.97 kPa, <3.62 kPa, significant fibrosis), F3 (≥3.62 kPa, <4.62 kPa, advanced fibrosis), or F4 (≥4.62 kPa, cirrhosis).ResultsThe median SWM values increased significantly with increasing fibrosis stage (p < 0.001). The correlation coefficient between SWM and MR elastography values was 0.793 (95% confidence interval 0.761–0.821). The correlation coefficients between SWM and MR elastography values significantly decreased with increasing body mass index and skin–capsular distance; skin–capsular distance values were associated with significant differences in sensitivity, specificity, accuracy, or positive predictive value, whereas body mass index values were not. The best cut‐off values for any fibrosis, significant fibrosis, advanced fibrosis, and cirrhosis were 6.18, 7.09, 8.05, and 10.89 kPa, respectively.ConclusionsThis multicenter study in a large number of patients established SWM cut‐off values for different degrees of fibrosis in chronic liver diseases using MR elastography as a reference standard. It is expected that these cut‐off values will be applied to liver diseases in the future.
Genome assembly and transcriptomic analysis to elucidate the ability of Nasonovia ribisnigri to break host plant resistance
Authors: Garrett Dion , Teakle Graham , Collier Rosemary , Bell James R. , Cerezo‐Medina Sergio , Morales‐Hojas Ramiro 
Published: February 2024

AbstractAphid genomic resources enable the study of complex life history traits and provide information on vector biology, host adaption and speciation. The currant–lettuce aphid (Nasonovia ribisnigri (Hemiptera: Aphididae) (Mosley)) is a cosmopolitan pest of outdoor lettuce (Lactuca sativa (Asterales: Asteraceae) (Linnaeus)). Until recently, the use of resistant cultivars was an effective method for managing N. ribisnigri. A resistant cultivar containing a single gene (Nr‐locus), introduced in the 1980s, conferred complete resistance to feeding. Overreliance of this Nr‐locus in lettuce resulted in N. ribisnigri's ability to break resistance mechanism, with first reports during 2003. Our work attempts to understand which candidate gene(s) are associated with this resistance‐breaking mechanism. We present two de novo draft assembles for N. ribisnigri genomes, corresponding to both avirulent (Nr‐locus susceptible) and virulent (Nr‐locus resistant) biotypes. Changes in gene expression of the two N. ribisnigri biotypes were investigated using transcriptomic analyses of RNA‐sequencing (RNA‐seq) data to understand the potential mechanisms of resistance to the Nr‐locus in lettuce. The draft genome assemblies were 94.2% and 91.4% complete for the avirulent and virulent biotypes, respectively. Out of the 18,872 differentially expressed genes, a single gene/locus was identified in N. ribisnigri that was shared between two resistant‐breaking biotypes. This locus was further explored and validated in Real‐Time Quantitative Reverse Transcription PCR (qRT‐PCR) experiments and has predicted localisations in both the cytoplasm and nucleus. This is the first study to provide evidence that a single gene/locus is likely responsible for the ability of N. ribisnigri to overcome the Nr‐locus resistance in the lettuce host.
Rapid and sensitive detection of large yellow croaker iridovirus by real‐time RPA and RPA‐LFD
Authors: Liu Xiaoru , Cao Yong , Wang Jiayin , Cao Suyuheng , Lu Liqun , Jiang Yousheng 
Published: February 2024

AbstractLarge yellow croaker (Larimichthys crocea) is a vital marine‐cultured species in China. Large yellow croaker iridovirus (LYCIV) can cause a high mortality rate in L. crocea. Rapid and convenient detection of LYCIV is an urgent demand for diagnosis. In this study, rapid and simple recombinase polymerase amplification (RPA), real‐time RPA and RPA combined with lateral flow dipstick (RPA‐LFD) methods were developed for the detection of LYCIV based on the conserved sequence of the LYCIV major capsid protein (MCP) gene. With these optimized RPA analyses, LYCIV detection could be completed within 20 min at 40°C. Both RPA and real‐time RPA could detect viral DNA as low as 102 copies/μL, while the detection limit of RPA‐LFD was 101 copies/μL, and there was no cross‐reaction with other aquatic pathogens (KHV, CyHV‐2, GCRV‐JX01, SVCV, LCDV and LMBV). In practical evaluation of RPA, real‐time RPA and RPA‐LFD methods, the results showed consistency with the general PCR detection. In short, the developed RPA, real‐time RPA and RPA‐LFD analyses could be simple, rapid, sensitive and reliable methods for field diagnosis of LYCIV infection and have significant potential in the protection of LYCIV infection.