bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and performance of a novel magnetically induced penta-stable piezoelectric energy harvester
Authors: Sun Shuailing , Su Xukun , Chen Xiaoyu , Xu Junjie , Leng Yonggang , Bao Hong , Yang Yintang , Lai Zhihui 
Published: January 2024

Abstract
The magnetically induced multi-stable piezoelectric vibration energy harvesters have garnered significant attention due to their strong nonlinear characteristics, wide operating bandwidths, and high electromechanical energy conversion efficiency. However, a traditional penta-stable design typically requires four rectangular external magnets. The excessive number of structural parameters amplify complexities in system optimization, dynamic analysis, and prototype installation, impeding harvester manufacturing and application. This study presents a novel penta-stable harvester design that utilizes interaction forces among a rectangular magnet and two annular magnets, resulting in a simplified system requiring only two external magnets. This design approach streamlines system design, dynamic analysis, and prototype installation, providing a fresh perspective on magnetic penta-stable vibration energy harvester design. The magnetizing current method is employed to accurately determine the system’s magnetic field and magnetic force. Stability analysis indicates that the multi-stability of the harvester is influenced by both the vertical magnetic force and equivalent linear elastic force, which can be effectively controlled by adjusting the system’s components. Dynamic simulations conducted under Gaussian white noise excitation confirm the penta-stable behavior of the system, and the dynamic responses verify that a shallower potential well depth contributes to the system’s ability to attain a higher output voltage. Experimental validations closely align with simulation results, providing strong evidence for the accuracy of the study’s findings. Furthermore, a practical application experiment demonstrates the harvester’s capability to power a hygrothermograph, highlighting its potential for real-world energy harvesting applications.
Realization of an autonomous virtual acoustic black hole with piezoelectric patches
Authors: Quaegebeur Samuel , Raze Ghislain , Cheng Li , Kerschen Gaëtan 
Published: January 2024

Abstract
Acoustic black holes (ABHs) offer new opportunities for designing mechanical devices that can trap and reduce the vibrational energy of a system. This paper proposes the digital realization of the ABH effect, also called virtual ABH (VABH), through piezoelectric patches. A self-contained and autonomous reduction vibration device is thus developed. However, piezoelectric VABHs raise theoretical and experimental difficulties which are discussed herein. An improved pseudo-collocated approach is proposed, and the synthetic impedance is theoretically derived. Experiments are conducted using a cantilever beam where the VABH is implemented with few piezoelectric patches. It is shown to provide excellent vibration reduction over a large frequency range. The herein presented original concept solves the two long-lasting challenges of mechanical ABHs, i.e, its manufacturing and inability to operate at low frequencies, making it highly attractive for applications on real-life structures.
Monitoring of crack repair in concrete using spherical smart aggregates based on electromechanical impedance (EMI) technique
Authors: Lan Chengming , Liu Honghui , Zhuang Shuo , Wang Jianjun , Li Weijie , Lin Genghao 
Published: January 2024

Abstract
Cracks will inevitably occur in concrete structures or members during the construction process and service life due to aging, environmental factors, external loads, etc. To improve the strength and stability of the cracked concrete structures, many methods have been proposed to repair the cracks. However, the monitoring of the repairing process and repair quality has not been fully studied. The previous studies have proved that the spherical smart aggregates (SSAs) based on the electromechanical impedance (EMI) technique have outperformed the traditional smart aggregates (SAs) based on the EMI technique in structural health monitoring of civil structures, however, SSAs have not been applied to the monitoring of the concrete crack repair. In this work, the monitoring of the concrete crack repair using the SSAs based on the EMI technique was explored. A total of eight concrete specimens were prepared, and cracks in the concrete specimens were simulated by manually cutting under laboratory conditions. According to the principle of grouting method, two repair agents including cement paste and cement mortar were used to repair the cracks. The impedance signals of 28 d were measured, and three quantitative indicators, namely root mean square deviation, mean absolute percentage deviation, and correlation coefficient deviation were used to evaluate the quality of the concrete repair effect. The results indicate that the SSAs show excellent sensitivity and stability over the traditional SAs. In addition, the normalized values of the quantitative indicators were analyzed to distinguish the types of repair agents. A mathematical expression of exponential function was also proposed by fitting the experimental data to quantitatively evaluate and predict the repair effect of concrete cracks. Further, the influences of temperature, humidity, crack depth and width on the experimental results were analyzed and discussed. The numerical simulation was also presented to validate the reasonability of the experimental results.
A conical spiral piezoelectric energy harvester with parallel beams for all-directional flow energy harvesting
Authors: Ding Jiang , Huang Changyang , Zeng Ziyang , Chen Zihao 
Published: January 2024

Abstract
Piezoelectric energy harvesting technology using flow-induced vibration is a type of interference-resistant and miniaturizable power generation technology, which is promising on powering the wireless micro electromechanical system in flow filed. However, the flow direction of the natural flow field is changeable while most existing flow-induced piezoelectric energy harvesters (PEHs) are limited by their working direction. In this paper, we propose a conical spiral piezoelectric energy harvester with parallel beams (CSPEH-PB) that can collect energy under flow excitation in all directions. Based on the multi-dimensional vibration analysis of conical spiral structure, we investigate the resonance mode and effective flow velocity range of the CSPEH-PB through numerical analysis. In comparative experiments with a bimorph flat PEH, we verify the effective flow velocity range and voltage of the CSPEH-PB and polyvinylidene fluoride (PVDF) films attached. The results demonstrate that the CSPEH-PB generates an effective voltage greater than 0.53 V through the PVDF films under any direction of the water flow, and has a wider resonance bandwidth than PEH with straight beam. This study provides a practical solution for adapting PEHs to changeable flow direction.
Surface-enhanced Raman scattering to realize the phonon processes in Ag nanoparticles-decorated CdS thin film
Authors: Iqbal Muhammad Faisal , Shabbir Fiza , Toqeer Irfan , Ullah Kaleem , Ali Faizan , Farid Sumbal , Khan Abbas Ahmad , Amami Mongi , Hassan Ali , Marzouki Riadh , Tang Guodong 
Published: January 2024

Abstract
Surface-enhanced Raman spectroscopy (SERS) technique can achieve an ultra-high sensitivity (i.e., down to the single-molecule level) via coinage-metal nanostructures such as silver, gold, copper, etc. In this work, a geometry is proposed that consists of silver nanoparticles (AgNPs) decorated on cadmium chloride (CdCl2) annealed cadmium sulfide (CdS) thin film on a glass substrate. A strong SERS enhancement in AgNPs on CdCl2 annealed CdS thin films is achieved, which is twelve times larger than the scattering from the bare CdCl2 annealed CdS thin film. The improved SERS signal allows us to observe fundamental phonon processes in CdCl2 annealed CdS thin film. Moreover, a finite difference time domain (FDTD) method is used to understand the underlying SERS physics. By using the FDTD method, robust electromagnetic field localization in the nanogap between AgNPs and at the contact point of Ag NPs and CdS thin film is studied.
Cosmological constraints of Palatini f(ℛ) gravity
Authors: Gomes Débora Aguiar , Briffa Rebecca , Kozak Aleksander , Said Jackson Levi , Saal Margus , Wojnar Aneta 
Published: January 2024

Abstract
In this study, we investigate a Palatini f(R) gravity model featuring a quadratic term correction, aligning it with the most recent expansion rate data, with a particular focus on the latest SNIa and BAO data. Our analysis employs CC data as the fundamental dataset, complemented by contributions from the SN sample and a combination of non-overlapping transversal BAO datasets. We conduct a comprehensive MCMC analysis for each data set combination, yielding constraints on all cosmological parameters within the model. Additionally, we incorporate the latest Hubble constant value from the SH0ES Team. Finally, we present a statistical comparison between the Palatini quadratic model and ΛCDM using the AIC and BIC metrics, ultimately obtaining the constraint |α| ≤ 1049 m2. We also stress the significance of studying stellar and substellar objects for obtaining more precise constraints on modified gravity compared to those derived from cosmological observations.
Third harmonic generation microscopy of magnetic domains in garnet films
Authors: Maydykovskiy Anton , Popov Nikita S , Murzina Tatiana 
Published: January 2024

Abstract
Nonlinear optical microscopy is a powerful non-destructive technique that allows to study a wide range of phenomena. Optical third harmonic generation (THG) is mostly known by its applications in investigation of biological structures, while magneto-optical effects in THG are not well recognized. Here we demonstrate high efficiency of the THG probe in studies of magnetic domain structure of epitaxial garnet films. We show that in spite of relatively small values of the magneto-optical effect at the THG wavelength, the THG microscopy may be efficient for the characterization of magnetic surface domains if the THG wavelength falls in the absorption band of a medium. Moreover, the in-depth sensitivity of this probe may be higher as compared to the case of the second harmonic generation microscopy.
Quantifying the indirect effects of different air pollutants on crop yields in North China Plain
Authors: Lu Chenxi , Leng Guoyong , Yu Linfei 
Published: January 2024

Abstract
High concentrations of air pollutants could affect crop yield directly via influencing crop physiology and indirectly via regulating climate conditions. How multiple air pollutants affect crop yields directly and indirectly remains elusive in the North China Plain (NCP), which is the hotspot of air pollution and crop production. Here, we construct data-driven models to quantify the indirect effects of four major air pollutants on the yields of winter wheat and summer maize through modulating climate variations in the NCP during 2005–2020. Our results show that wheat has a greater negative sensitivity to absorbing aerosol optical thickness (AAOD), ozone concentration (O3), sulfur dioxide concentration (SO2) and nitrogen dioxide concentration (NO2) than maize. The indirect effects of AAOD, O3 and SO2 in November and O3 in April control wheat yield variation, while the indirect effects of AAOD and O3 in June, O3 and SO2 in July, O3 and NO2 in August, and O3 in September dominate maize yield variation. Our results emphasize the indirect effects of air pollutants on crop yield via regulating climate variations, which has great implications for improving our understanding of air pollution-climate-crop interactions and guiding targeted adaptation and mitigation efforts.
Carbon pricing – perceived strengths, weaknesses and knowledge gaps according to a global expert survey
Authors: Savin Ivan , Drews Stefan , van den Bergh Jeroen 
Published: January 2024

Abstract
Researchers from different disciplines have different opinions about carbon pricing. To better understand the reasoning behind these perspectives, we utilize responses to three open-ended questions from a global survey among almost 800 researchers from a wide variety of fields who published on climate policy. Using methods from computational linguistics, we classify reflections of researchers on the main strengths and weaknesses of carbon pricing compared with other policy instruments in seven and six topics, respectively. The results indicate that the main perceived strengths of carbon pricing are that it is effective and efficient at reducing emissions, gives clear investment incentives, decentralizes policy, among others. The main perceived weaknesses of carbon pricing are related to its potentially regressive effects on households, low social-political support, and amenability to manipulation—to name a few. Surprisingly, not all these perceptions are in line with established theory and empirical evidence. Finally, we collect suggestions for future research. Among nine frequently mentioned themes are improving public understanding of carbon pricing, political acceptability, synergies with other policies, long-term effects, and implementation in an equitable way in developing countries and worldwide. In addition, we highlight several less frequent but arguably innovative research avenues. Finally, we report to what extent the identified topics on strengths, weaknesses and knowledge gaps are significantly related to academic experience, gender, GDP per capita in the countries of origin and residence of the survey participants, and perceived importance of carbon pricing. This information helps identifying key differences in views within the scientific community on carbon pricing and can guide communication between fields aimed at reaching more consensus on climate policy.
A numerical survey of parameters to reach ignition condition for axial compression of a large-sized field reversed configuration
Authors: LI 李 Yilin 宜霖 , LIAO 廖 Hui 晖 , ZHOU 周 Haiyang 海洋 , SUN 孙 Xuan 玄 
Published: January 2024

Abstract
Field reversed configuration (FRC) is widely considered as an ideal target plasma for magneto-inertial fusion. However, its confinement and stability, both proportional to the radius, will deteriorate inevitably during radial compression. Hence, we propose a new fusion approach based on axial compression of a large-sized FRC. The axial compression can be made by plasma jets or plasmoids converging onto the axial ends of the FRC. The parameter space that can reach the ignition condition while preserving the FRC’s overall quality is studied using a numerical model based on different FRC confinement scalings. It is found that ignition is possible for a large FRC that can be achieved with the current FRC formation techniques if compression ratio is greater than 50. A more realistic compression is to combine axial with moderate radial compression, which is also presented and calculated in this work.
Generation and characterization of polarization-entangled states using quantum dot single-photon sources
Authors: Valeri Mauro , Barigelli Paolo , Polacchi Beatrice , Rodari Giovanni , Santis Gianluca De , Giordani Taira , Carvacho Gonzalo , Spagnolo Nicolò , Sciarrino Fabio 
Published: January 2024

Abstract
Single-photon sources based on semiconductor quantum dots find several applications in quantum information processing due to their high single-photon indistinguishability, on-demand generation, and low multiphoton emission. In this context, the generation of entangled photons represents a challenging task with a possible solution relying on the interference in probabilistic gates of identical photons emitted at different pulses from the same source. In this work, we implement this approach via a simple and compact design that generates entangled photon pairs in the polarization degree of freedom. We operate the proposed platform with single photons produced through two different pumping schemes, the resonant excited one and the longitudinal-acoustic phonon-assisted configuration. We then characterize the produced entangled two-photon states by developing a complete model taking into account relevant experimental parameters, such as the second-order correlation function, Hong–Ou–Mandel visibility, multiphoton emission and pump laser filtering. Our source shows long-term stability and high quality of the generated entangled states, thus constituting a reliable building block for optical quantum technologies.
Hamiltonian learning with real-space impurity tomography in topological moiré superconductors
Authors: Khosravian Maryam , Koch Rouven , Lado Jose L 
Published: January 2024

Abstract
Extracting Hamiltonian parameters from available experimental data is a challenge in quantum materials. In particular, real-space spectroscopy methods such as scanning tunneling spectroscopy allow probing electronic states with atomic resolution, yet even in those instances extracting the effective Hamiltonian is an open challenge. Here we show that impurity states in modulated systems provide a promising approach to extracting non-trivial Hamiltonian parameters of a quantum material. We show that by combining the real-space spectroscopy of different impurity locations in a moiré topological superconductor, modulations of exchange and superconducting parameters can be inferred via machine learning. We demonstrate our strategy with a physically-inspired harmonic expansion combined with a fully-connected neural network that we benchmark against a conventional convolutional architecture. We show that while both approaches allow extracting exchange modulations, only the former approach allows inferring the features of the superconducting order. Our results demonstrate the potential of machine learning methods to extract Hamiltonian parameters by real-space impurity spectroscopy as local probes of a topological state.
The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes
Authors: Gao Dong , Ren Liping , Hao Yu-Duo , Schaduangrat Nalini , Liu Xiao-Wei , Yuan Shi-Shi , Yang Yu-He , Wang Yan , Shoombuatong Watshara , Ding Hui 
Published: January 2024

Abstract
Non-coding RNAs (ncRNAs) are a class of RNA molecules that do not have the potential to encode proteins. Meanwhile, they can occupy a significant portion of the human genome and participate in gene expression regulation through various mechanisms. Gestational diabetes mellitus (GDM) is a pathologic condition of carbohydrate intolerance that begins or is first detected during pregnancy, making it one of the most common pregnancy complications. Although the exact pathogenesis of GDM remains unclear, several recent studies have shown that ncRNAs play a crucial regulatory role in GDM. Herein, we present a comprehensive review on the multiple mechanisms of ncRNAs in GDM along with their potential role as biomarkers. In addition, we investigate the contribution of deep learning-based models in discovering disease-specific ncRNA biomarkers and elucidate the underlying mechanisms of ncRNA. This might assist community-wide efforts to obtain insights into the regulatory mechanisms of ncRNAs in disease and guide a novel approach for early diagnosis and treatment of disease.
Development of innovative multi-epitope mRNA vaccine against Pseudomonas aeruginosa using in silico approaches
Authors: Asadinezhad Maryam , Khoshnood Saeed , Asadollahi Parisa , Ghafourian Sobhan , Sadeghifard Nourkhoda , Pakzad Iraj , Zeinivand Yasaman , Omidi Nazanin , Hematian Ali , Kalani Behrooz Sadeghi 
Published: January 2024

Abstract
The rising issue of antibiotic resistance has made treating Pseudomonas aeruginosa infections increasingly challenging. Therefore, vaccines have emerged as a viable alternative to antibiotics for preventing P. aeruginosa infections in susceptible individuals. With its superior accuracy, high efficiency in stimulating cellular and humoral immune responses, and low cost, mRNA vaccine technology is quickly replacing traditional methods. This study aimed to design a novel mRNA vaccine by using in silico approaches against P. aeruginosa. The research team identified five surface and antigenic proteins and selected their appropriate epitopes with immunoinformatic tools. These epitopes were then examined for toxicity, allergenicity and homology. The researchers also checked their presentation and identification by major histocompatibility complex cells and other immune cells through valuable tools like molecular docking. They subsequently modeled a multi-epitope protein and optimized it. The mRNA was analyzed in terms of structure and stability, after which the immune system’s response against the new vaccine was simulated. The results indicated that the designed mRNA construct could be an effective and promising vaccine that requires laboratory and clinical trials.
CEMIG: prediction of the cis-regulatory motif using the de Bruijn graph from ATAC-seq
Authors: Wang Yizhong , Li Yang , Wang Cankun , Lio Chan-Wang Jerry , Ma Qin , Liu Bingqiang 
Published: January 2024

Abstract
Sequence motif discovery algorithms enhance the identification of novel deoxyribonucleic acid sequences with pivotal biological significance, especially transcription factor (TF)-binding motifs. The advent of assay for transposase-accessible chromatin using sequencing (ATAC-seq) has broadened the toolkit for motif characterization. Nonetheless, prevailing computational approaches have focused on delineating TF-binding footprints, with motif discovery receiving less attention. Herein, we present Cis rEgulatory Motif Influence using de Bruijn Graph (CEMIG), an algorithm leveraging de Bruijn and Hamming distance graph paradigms to predict and map motif sites. Assessment on 129 ATAC-seq datasets from the Cistrome Data Browser demonstrates CEMIG’s exceptional performance, surpassing three established methodologies on four evaluative metrics. CEMIG accurately identifies both cell-type-specific and common TF motifs within GM12878 and K562 cell lines, demonstrating its comparative genomic capabilities in the identification of evolutionary conservation and cell-type specificity. In-depth transcriptional and functional genomic studies have validated the functional relevance of CEMIG-identified motifs across various cell types. CEMIG is available at https://github.com/OSU-BMBL/CEMIG, developed in C++ to ensure cross-platform compatibility with Linux, macOS and Windows operating systems.
E3 ubiquitin ligase RNF148 functions as an oncogene in colorectal cancer by ubiquitination-mediated degradation of CHAC2
Authors: Liu Shuiping , Zhuo Lvjia , Chen Lu , He Ying , Chen Xudong , Zhang Hao , Zhou Yuan , Ni Ziheng , Zhao Shujuan , Hu Xiaotong 
Published: January 2024

Abstract
We previously reported that RNF148 was involved in the ubiquitination-mediated degradation of CHAC2. However, its molecular mechanism was not determined. In this study, we investigated the role and mechanism of RNF148 in the progression of colorectal cancer (CRC), especially in the process of ubiquitination-mediated degradation of CHAC2. Our results revealed that RNF148 was upregulated in most CRC tissues, and its expression significantly correlated with the 3-year overall survival rate and most clinicopathological parameters of CRC patients. Furthermore, RNF148 served as an independent prognostic biomarker of CRC and promoted CRC cell proliferation and migration while inhibiting cell apoptosis and sensitivity to 5-FU. Mechanistically, RNF148 used its protease-associated domain to bind to the CHAC domain of CHAC2 and target it for degradation. In addition, we identified two phosphorylation and three ubiquitination residues of CHAC2 and identified Y118 and K102 as the critical phosphorylation and ubiquitination residues, respectively. We also identified CHAC2’s and RNF148’s interacting proteins and discovered their potential interaction network. In conclusion, our current study unveiled the role of RNF148 in CRC and the mechanism of RNF148 in the ubiquitination-mediated degradation of CHAC2, which shed light on providing potential prognostic biomarkers and molecular targets for CRC patients.