bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-Term Neurodevelopmental Outcomes in Children with Gastroschisis: A Review of the Literature
Authors: Rundell Maddie R. , Bailey Rachel A. , Wagner Amy J. , Warner Barbara B. , Miller Lauren E. 
Published: May 2024

This study aimed to investigate and present a review of the literature on long-term neurodevelopmental outcomes in children with gastroschisis. Gastroschisis is the most common abdominal wall defect. Children with gastroschisis are at high risk for premature birth, intestinal failure, sepsis, and repeated anesthesia exposure, which collectively increase the risk for adverse long-term neurodevelopmental outcomes. The existing literature on neurodevelopmental outcomes is limited in number, quality, and generalizability, creating a gap in clinical knowledge and care. Five internet databases were searched by a professional research librarian: Ovid MEDLINE, Scopus, Web of Science, PsycINFO, and Cochrane Library. Included articles were (1) published in English, (2) included postneonatal hospital discharge neurodevelopmental outcomes of children with gastroschisis, and (3) included patients under the age of 18 years. No date parameters were applied. The paucity of literature on long-term neurodevelopmental outcomes in gastroschisis children has left large gaps in the body of knowledge on post-hospital care of such children. In this review, 37 articles were found evaluating neurodevelopmental outcomes in gastroschisis and, while conclusions were contradictory, the literature broadly indicated the potential for neurodevelopmental deficits in the gastroschisis pediatric population. A significant limitation of this review was the heterogeneous samples included in available literature, which confounded the ability to determine cognitive risk of gastroschisis independent of other abdominal wall defects. Findings of this review demonstrate potential risk for neurodevelopmental deficits in the pediatric gastroschisis population exist, yet additional research is needed to definitively predict the significance, type, onset, and trajectory of neurodevelopmental impairment in this population. The significant gaps in long-term outcomes data have elucidated the need for prospective, longitudinal investigation of various cognitive domains in homogenous gastroschisis populations to properly evaluate prevalence of neurodevelopmental deficits and guide recommendations for long-term clinical care.
Key Points
When is grassroots lobbying effective? The case of the e-petitions at the national level in the UK
Authors: Olejnik Maciej 
Published: May 2024

AbstractThe article examines the effectiveness of one technique of grassroots lobbying (e-petitions) in the UK through the prism of: (1) the claim that the goal of lobbying activity (the change versus protection of the status quo policy) is a great predictor of lobbying’s outcome; (2) the signalling theory; (3) the amended version of the economic theory of political information. In the paper, I studied the petitions signed by at least 10,000 citizens submitted to the House of Commons during the 57th Parliament of the UK (2017–2019) and analysed their effectiveness. I also measured the petitions’ issue salience for the ruling party (the Conservative Party) from the perspective of the analysed theories. The research results indicate the following: (1) e-petitions aiming to defend the status quo policy were considerably more effective than the ones striving to change it; (2) the scale of e-petition’s endorsement was not a crucial factor in determining the authorities’ decision, contradicting the assumption of the signalling theory; (3) moderately and highly popular lower salience issue e-petitions showed equal ineffectiveness. On the other hand, greatly popular higher salience issue e-petitions supported by the ruling party were less effective than their less popular counterparts. Conversely, e-petitions on higher salience issues opposed by the ruling party, whether moderately or widely endorsed by the public, exhibited equal ineffectiveness. These results mean that the economic theory of political information only partially explains the effectiveness of grassroots lobbying (i.e. in the last case). In conclusion, e-petitions represent a relatively efficient grassroots lobbying technique for influencing authorities in the UK, with approximately one in five being considered effective.
The Loci of Power and Connection: a framework for exploring the democratic relationships of civil society organisations
Authors: Riboldi Mark 
Published: May 2024

AbstractThis article constructs a framework for understanding the activities of interest groups and other civil society organisations (CSOs) in relation to their democratic connections with people and communities. This is achieved by considering whether CSOs engage with people in terms of decision-making in a manner that is centralised or decentralised, counterposed with the nature of the connection, be it relational or transactional. The resulting LOPAC (Loci of Power and Connection) framework highlights four types of CSO activity, each of which has potential democratic utility and drawbacks: (1) Bare Essentials—decentralised engagement, transactional connection; (2) Crowd Control—centralised engagement, transactional connection; (3) Honeycomb—decentralised engagement, relational connection; and (4) Closed Doors—centralised engagement, relational connection. The framework is connected to key discussions within the literature, in particular around the legitimacy of CSOs, how CSOs act as transmission belts for citizens’ interests to reach those in power, and the ongoing professionalisation of the sector. The framework aims to assist scholars, practitioners, and policymakers to understand the democratic implications of the complex decisions that CSOs make on a day-to-day basis. Furthermore, the framework aids in understanding what areas CSOs can focus on when they find that their modes of engagement are inadvertently having impacts contrary to their democratic aims.
How voting rules impact legitimacy
Authors: Hausladen Carina I. , Hänggli Fricker Regula , Helbing Dirk , Kunz Renato , Wang Junling , Pournaras Evangelos 
Published: May 2024

AbstractCollective action is essential for addressing the grand challenges of our time. However, for such action to be successful, decision-making processes must be perceived as legitimate. In this study, we investigate the legitimacy of different voting methods. Using a pre-registered human subject experiment, 120 participants cast their votes using four voting methods: majority voting, combined approval voting, range voting, and the modified Borda count. These methods represent a range of preference elicitation designs, from low to high complexity and flexibility. Furthermore, we developed a legitimacy scale upon which the participants rate the voting methods. The experiment was conducted in a non-political setting (voting on color preferences) and a political context (voting on COVID-19-related questions). Our findings suggest that the perceived legitimacy of a voting method is context-dependent. Specifically, preferential voting methods are seen as more legitimate than majority voting in a political decision-making situation, but only for individuals with well-defined preferences. Furthermore, preferential voting methods are more legitimate than majority voting in a highly polarized situation.
How does the circular economy achieve social change? Assessment in terms of sustainable development goals
Authors: Gallardo-Vázquez Dolores , Scarpellini Sabina , Aranda-Usón Alfonso , Fernández-Bandera Carlos 
Published: May 2024

AbstractAchieving sustainable development is today a basic premise for all companies and governments. The 2030 Agenda has outlined an action plan focused on all areas and interest groups. Achieving economic growth and technological progress, social development, peace, justice, environmental protection, inclusion and prosperity represent the main areas to achieve social change. Furthermore, the circular economy is capable of improving the efficiency of products and resources, and can contribute to this social change, but there is a gap in the literature regarding whether the orientation of the companies in their circular economy strategy can lead to the achievement of the sustainable development goals. The objective of this study is to develop an initial circular economy-sustainable development goals (CE-SDGs) framework that considers the circular economy as the precedent and sustainable development goals as a consequence of implementing a circular economy. With respect to the methodology, the literature linking the relationship between the circular economy and sustainable development goals was reviewed first. A Structural Equation Model with the Partial Least Squares technique was also employed, analyzing two complementary models in enterprises involved in the Social Economy in the Autonomous Community of Extremadura (Spain). Regarding the results obtained, a link has been observed between professional profiles and training in people-oriented activities. The same does not occur for activities oriented toward the planet. Moreover, the existence of corporate reports that obtain data on circular activities is crucial to achieving orientation toward the sustainable development goals, for activities oriented toward both people and the planet. Finally, the results confirm that the existence of barriers and incentives determines the observed results, being aware that the lack of specialized training in human resources always has a significant incidence. Using resource and capability and dynamic capabilities theories, this study contributes with an initial framework by joining two lines of research and analyzing the CE-SDGs link in SE enterprises. Future research and empirical validations could contribute more deeply to the literature. As key recommendations, social economy managers must be committed to introducing circular economy practices to achieve people- and planet-oriented objectives, being proactive in fostering CE-SDGs frameworks.
A high-performance surface acoustic wave sensing technique
Authors: Wu Mengmeng , Liu Xiao , Wang Renfei , Lin Xi , Liu Yang 
Published: May 2024

We present a superheterodyne-scheme demodulation system that can detect the amplitude and phase shift of weak radio frequency signals with extraordinarily high stability and resolution. As a demonstration, we introduce a process to measure the velocity of the surface acoustic wave using a delay-line device from 30 K to room temperature, which can resolve &lt;0.1 ppm velocity shift. Furthermore, we investigate the possibility of using this surface acoustic wave device as a calibration-free, high sensitivity, and fast response thermometer.
Long-term post-fire succession of reptiles in an urban remnant in south-western Australia
Authors: Davis Robert A. , Craig Michael D. 
Published: May 2024

Background Reptile responses to fire may differ between remnants and contiguous vegetation but this is poorly understood. Aims We aimed to explore long-term (≤15 years) post-fire responses of reptiles in an urban Banksia woodland remnant. Methods We trapped reptiles for 10 nights in November and December each year between 2009 and 2023 inclusive (except 2014 and 2019) to estimate relative abundance. We used mixed models to explore differences between unburnt and burnt sites and changes in both over time. Key results and conclusions The reptile community showed short-term negative responses to fire, but communities had returned to their pre-fire state within 3 years. Two species showed short-term (3 and 5 years respectively) negative responses to fire while two species showed positive responses; one in the first year post-fire only, and the other in sites >8 years post-fire. There did not appear to be consistent differences in fire responses between this study and studies conducted in contiguous Banksia woodlands, although differences in study designs renders this conclusion equivocal. Implications Reptile communities in Banksia woodland remnants, and the species they contain appear to be relatively robust to a wide range of fire regimes.
Einstein-Gauss-Bonnet dark matter halo: negative masses, rotation curves and the origin of dark matter effects
Authors: Chahboun Omar , Laamara Rachid Ahl , Saidi El Hassan 
Published: May 2024

Abstract
This work presents a novel approach to address the longstanding challenge posed by the rotation curves of galaxies and the associated missing mass problem. Utilizing the four-dimensional modified gravity framework of Einstein-Gauss-Bonnet (EGB), we develop a new model that integrates the concept of dark matter featuring negative mass due to the Gauss-Bonnet term. Our methodology involves using the action of EGB with boundary terms to derive the Israel junction condition, allowing the formulation of a model featuring a spherical dark halo. The mass expression of this dark halo exhibits a remarkable proportionality to the radius r at large distances, forming the basis for subsequent analyses. The model’s implications extend to the dynamics of the early Universe, where we introduce a dynamic scalar field classified as Chameleon. Posting this scalar field as the origin of dark matter effects, we establish a crucial link between the coupling constant α and the scalar field through

Z

2

symmetry breaking via the effective potential. This connection enables a subtle description of velocity, reminiscent of Modified Newtonian Dynamics (MOND), providing insights into the gravitational interplay and dark matter dynamics. A pivotal aspect of our study involves a particular comparison of the model’s predictions with observational data sourced from SPARC datasets. The alignment of our theoretical outcomes with empirical evidence underscores the model’s efficiency and its potential contribution to our understanding of galactic rotation dynamics.
Evaluation of injection current frequency on molten NaCl solidification images reconstructed by high-temperature electrical resistance tomography
Authors: Segawa So , Sejati Prima Asmara , Prayitno Yosephus Ardean Kurnianto , Takei Masahiro 
Published: May 2024

Abstract
The injection current frequency has been evaluated on molten NaCl solidification images reconstructed by high-temperature electrical resistance tomography (htERT). The evaluation was performed using an electrical equivalent circuit consisting of an electrical double layer (EDL), bulk solution and current–voltage path (CV path). The EDL and bulk solution are the elements that indicate electrochemical noise and bulk noise due to random thermally excited vibrations of Na+ and Cl–. The CV path compensates for measurement device errors due to the low resistivity of molten NaCl. The molten NaCl solidification images were reconstructed by htERT in an alumina crucible with platinum-wire electrodes under an initial temperature

air

T
0

=

820 °C and temperature drop rate

γ

=

6.67 °C min−1. As a result, the solid volume fraction

φ

of molten NaCl was properly obtained at the appropriate injection current frequency of

L

f
<
f
<

H

f

, which is determined by the electrical equivalent circuit (EEC) with an EDL, bulk solution and CV path. The EEC was validated by comparing the signal to noise ratio and Nyquist plot obtained experimentally with a resistance error. The best frequency range implemented in htERT for molten NaCl solidification images was determined as

L

f

= 1.4 kHz and

H

f

= 41 kHz.
Enhancing electrical resistance tomography reconstruction from conductive fabric: a comparative study of CycleGAN and pix2pixGAN
Authors: Solano Sanchez Felipe Alberto , Khambampati Anil Kumar , Jeon Minho , Kim Kyung Youn 
Published: May 2024

Abstract
Monitoring fetal health is crucial in prenatal care, and existing techniques for assessing fetal movements are often expensive and limited to clinical environments. This research investigates the potential of utilizing electrical resistance tomography (ERT) with a conductive fabric to create a cost-effective and non-invasive imaging solution for fetal monitoring. The fusion of ERT with wearable e-textile devices facilitates continuous and portable monitoring. To improve the quality of ERT-generated images, we propose the application of CycleGAN and pix2pixGAN, both machine learning models based on generative adversarial networks. These models learn to map reconstructed images to target images, thereby enhancing reconstruction precision and image quality. The outcomes of this research highlight the effectiveness of the suggested method in managing noisy data and achieving superior image generation. This work presents a promising approach to fetal monitoring using ERT and deep learning techniques, opening possibilities for more affordable and accessible prenatal care.
Review of advances in tool condition monitoring techniques in the milling process
Authors: T Mohanraj , E S Kirubakaran , Madheswaran Dinesh Kumar , M L Naren , P Suganithi Dharshan , Ibrahim Mohamed 
Published: May 2024

Abstract
Milling is an extremely adaptable process that can be utilized to fabricate a wide range of shapes and intricate 3D geometries. The versatility of the milling process renders it useful for the production of a diverse range of components and products in several industries, including aerospace, automotive, electronics, and medical equipment. Monitoring tool conditions is essential for maintaining product quality, minimizing production downtime, and maximizing tool life. Advances in this field have been driven by the need for increased productivity, reduced tool wear, and improved process efficiency. Tool condition monitoring (TCM) in the milling process is a critical aspect of machining operations. TCM involves assessing the health and performance of cutting tools used in milling machines. As technology evolves, staying updated with the latest developments in this field is essential for manufacturers seeking to optimize their milling operations. However, addressing the challenges associated with sensor integration, data analysis, and cost-effectiveness remains crucial. To fill this research gap, this paper provides an overview of the extensive literature on monitoring milling tool conditions. It summarizes the key focus areas, including tool wear sensors and the application of various machine learning and deep learning algorithms. It also discusses the potential applications of TCM beyond wear detection, such as predicting tool breakage, tool wear, the cutting tool’s remaining lifetime, and the challenges faced by TCMs. This review also provides suggestions for potential future research endeavors and is anticipated to offer valuable insights for the development of advanced TCMs in terms of tool wear monitoring and predicting remaining useful life.
A hybrid energy harvesting approach for transmission lines based on triboelectric nanogenerator and micro thermoelectric generator
Authors: Feng Xing , Hao Zhijie , Shao Tong , Ma Zhenyao , Lu Yingli , Wang Yi , Liu Changxin 
Published: May 2024

Abstract
To effectively detect faults in transmission lines, monitoring the operating status of these lines is imperative. However, providing power to monitoring devices for transmission line status presents a significant challenge. In this research, a hybrid energy harvesting approach based on micro thermoelectric generator (MTEG) and triboelectric nanogenerator (TENG) is proposed, and a theoretical model for MTEG-TENG hybrid energy harvesting is established. This study develops an integrated energy harvesting prototype, which incorporates oscillating-TENG (O-TENGs), MTEGs, and a power management control unit. This prototype not only harvests energy from the vibrations of transmission lines but also converts the lines thermal energy into electricity. The Experiment results show that the maximum open-circuit voltages of O-TENG and MTEG reach 80.3 V and 1.094 V, respectively. Compared to a single MTEG energy harvesting device, the prototype of the MTEG-TENG hybrid energy harvesting device demonstrates a 5.36% improvement in energy harvesting and battery charging performance. Consequently, this approach achieves self-powered monitoring with excellent stability and lower manufacturing costs. It provides an efficient and durable power approach for transmission line status monitoring devices.
Application of machine learning on the design of acoustic metamaterials and phonon crystals: a review
Authors: Chen Jianquan , Huang Jiahan , An Mingyi , Hu Pengfei , Xie Yiyuan , Wu Junjun , Chen Yu 
Published: May 2024

Abstract
This comprehensive review explores the design and applications of machine learning (ML) techniques to acoustic metamaterials (AMs) and phononic crystals (PnCs), with a particular focus on deep learning (DL). AMs and PnCs, characterized by artificially designed microstructures and geometries, offer unique acoustic properties for precise control and manipulation of sound waves. ML, including DL, in combination with traditional artificial design have promoted the design process, enabling data-driven approaches for feature identification, design optimization, and intelligent parameter search. ML algorithms process extensive AM data to discover novel structures and properties, enhancing overall acoustic performance. This review presents an in-depth exploration of applications associated with ML techniques in AMs and PnCs, highlighting specific advantages, challenges and potential solutions of applying of using ML algorithms associated with ML techniques. By bridging acoustic engineering and ML, this review paves the way for future breakthroughs in acoustic research and engineering.
Second-order charge and spin transport in LaO/STO system in the presence of cubic Rashba spin orbit couplings
Authors: Bin Siu Zhuo , Kundu Anirban , Jalil Mansoor B A 
Published: May 2024

Abstract
Under an applied electric field, certain non-centrosymmetric materials with broken time-reversal symmetry may exhibit non-reciprocal transport behavior in which the charge and spin currents contain components that are second order in the electric field. In this study, we investigate the second-order spin accumulation and charge and spin responses in the LaAlO3/SrTiO3 (LaO/STO) system with magnetic dopants under the influence of linear and cubic Rashba spin–orbit coupling (RSOC) terms. We explain the physical origin of the second-order response and perform a symmetry analysis of the first- and second-order responses for different dopant magnetization directions relative to the applied electric field. We then numerically solve the Boltzmann transport equation by extending the approach of Schliemann and Loss (2003 Phys. Rev. B 68 165311) to higher orders in the electric field. We show that the sign of the second-order responses can be switched by varying the magnetization direction of the magnetic dopants or relative strengths of the two cubic RSOC terms and explain these trends by considering the Fermi surfaces of the respective systems. These findings provide insights into the interplay of multiple SOC effects in the LaO/STO system and how the resulting first- and second-order charge and spin responses can be engineered by exploiting the symmetries of the system.