bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis and improvement of human-induced vibration comfort of articulated steel pedestrian bridges
Authors: Yang Shuo , Ning Xiaojun 
Published: October 2023

AbstractThe effect of different pedestrian densities (0.2, 0.5, 1, 1.5 and 4.6 persons/m2) on a pedestrian bridge is studied, the comfort level is evaluated according to the acceleration peak, and the most sensitive part of the acceleration response employs tuned mass dampers (TMDs) for vibration control. The study shows that the bearing capacity level of the pedestrian bridge with articulated piers meets the standard. Compared with a pier rigid connection system, the structural dynamic characteristics of pier articulation do not change much, and the vertical frequency and peak acceleration in the span are slightly smaller. The comfort evaluation results of the bridge with articulated piers are the same as those of the bridge with a rigid pier. The TMD setting can effectively reduce the human-induced vibration time response, the vibration reduction efficiency can reach 52%, and the comfort level changes from CL2 to CL1 after vibration reduction.
Clinical significance of urinary exosomal microRNAs in patients with IgA nephropathy
Authors: Yoon Soo-Young , Kim Jin Sug , Jung Su Woong , Kim Yang Gyun , Hwang Hyeon Seok , Moon Ju-Young , Lee Sang-Ho , Seo Jung-Woo , Seok Junhee , Tae Donghyun , Jeong Kyunghwan 
Published: October 2023

AbstractImmunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. The clinical relevance of 11 urinary exosomal microRNAs (miRNAs) was evaluated in patients with IgAN. From January 2009 to November 2018, IgAN (n = 93), disease control (n = 11), and normal control (n = 19) groups were enrolled. We evaluated the expression levels of urinary exosomal miRNAs at the baseline and their relationship with clinical and pathologic features. This study aimed to discriminate statistically powerful urinary exosomal miRNAs for the prognosis of IgAN. Urinary miRNA levels of miR-16-5p, miR-29a-3p, miR-124-3p, miR-126-3p, miR-199a-3p, miR-199b-5p, and miR-335-3p showed significant correlation with both estimated glomerular filtration rate (eGFR) and urine protein-to-creatinine ratio (uPCR). In univariate regression analysis, age, body mass index, hypertension, eGFR, uPCR, Oxford classification E, and three miRNAs (miR-16-5p, miR-199a-3p, and miR-335-3p) were associated with disease progression in patients with IgAN. The area under the curve (AUC) of miR-199a-3p was high enough (0.749) without any other clinical or pathologic factors, considering that the AUC of the International IgAN Risk Prediction Tool was 0.853. Urinary exosomal miRNAs may serve as alternative prognostic biomarkers of IgAN with further research.
Comparative genomics hints at dispensability of multiple essential genes in two Escherichia coli L-form strains
Authors: Liu Yunfei , Zhang Yueyue , Kang Chen , Tian Di , Lu Hui , Xu Boying , Xia Yang , Kashiwagi Akiko , Westermann Martin , Hoischen Christian , Xu Jian , Yomo Tetsuya 
Published: October 2023

Abstract
Despite the critical role of bacterial cell walls in maintaining cell shapes, certain environmental stressors can induce the transition of many bacterial species into a wall-deficient state called L-form. Long-term induced Escherichia coli L-forms lose their rod shape and usually hold significant mutations that affect cell division and growth. Besides this, the genetic background of L-form bacteria is still poorly understood. In the present study, the genomes of two stable L-form strains of E. coli (NC-7 and LWF+) were sequenced and their gene mutation status was determined and compared with their parental strains. Comparative genomic analysis between two L-forms reveals both unique adaptions and common mutated genes, many of which belong to essential gene categories not involved in cell wall biosynthesis, indicating that L-form genetic adaptation impacts crucial metabolic pathways. Missense variants from L-forms and Lenski’s long-term evolution experiment (LTEE) were analyzed in parallel using an optimized DeepSequence pipeline to investigate predicted mutation effects (α) on protein functions. We report that the two L-form strains analyzed display a frequency of 6–10% (0% for LTEE) in mutated essential genes where the missense variants have substantial impact on protein functions (α&lt;0.5). This indicates the emergence of different survival strategies in L-forms through changes in essential genes during adaptions to cell wall deficiency. Collectively, our results shed light on the detailed genetic background of two E. coli L-forms and pave the way for further investigations of the gene functions in L-form bacterial models.
Improving the electrical stability of a‐IGZO TFT through gate surround structures
Authors: Yu Eun Seong , Kim Seung Gyun , Moon Seung Jae , Bae Byung Seong 
Published: October 2023

AbstractThis paper delves into a structural modification of dual‐gate oxide thin film transistor (TFT). Diverging from the conventional dual‐gate TFT structure, the authors’ approach connects the bottom and top gate electrodes, effectively enveloping all four sides of the a‐IGZO channel. This shielding configuration ensures stable operation, even under light illumination. Moreover, capitalizing on the stability under light conditions, the authors observed a remarkable threefold improvement in the mobility of the fabricated TFT with this proposed structure, resulting in a substantial 156% increase in current. Furthermore, in the negative bias illumination stress test, the proposed TFT exhibited minimal fluctuations when compared to its single‐gate counterpart, further underscoring its exceptional and robust performance.
Hsa_circ_0080608 Attenuates Lung Cancer Progression by Functioning as a Competitive Endogenous RNA to Regulate the miR-661/ADRA1A Pathway
Authors: Ren Chengbo , Cui Ling , Li Ruibiao , Song Xiao , Li Jinqiu , Xi Qiang , Zhang Zhilin , Zhao Lixia 
Published: October 2023

AbstractCircular RNAs (circRNAs) participate in the progression of human cancers and have been broadly elucidated. Here, we aimed to elucidate the roles and functional mechanisms of hsa_circ_0080608 (circ_0080608) in lung cancer. Quantitative real-time PCR (qPCR) was performed to assess the mRNA expression levels of circ_0080608, miR-661, and adrenoceptor alpha 1A (ADRA1A). Western blotting was performed to measure ADRA1A protein levels. CCK-8, colony formation, and Transwell assays were performed to determine the effect of circ_0080608 on cell proliferation and migration. Animal models were used to assess how circ_0080608 influences tumor progression in vivo. The binding relationships of miR-661’s with circ_0080608 and ADRA1A was confirmed using dual-luciferase reporter and RIP assays. Circ_0080608 exhibited relatively low expression in lung cancer samples and cells. Lung cancer cells overexpressing circ_0080608 exhibited reduced migratory and proliferative abilities. Additionally, circ_0080608 binds to miR-661 and operates as a competing endogenous RNA (ceRNA) and shares a miR-661 binding site with the 3’ UTR of ADRA1A. Furthermore, circ_0080608 inversely regulates miR-661 expression, consequently restraining the aggressive behavior of lung cancer cells. Lung cancer cells overexpressing ADRA1A also exhibit repressed migratory and proliferative abilities. However, reintroduction of miR-661 led to a decline in ADRA1A expression, thereby attenuating the functional effects of ADRA1A. Circ_0080608 impedes lung cancer progression by regulating the miR-661/ADRA1A pathway. Our findings provide new insights into the progression of lung cancer.
Conformational effects in the vibrational and electronic spectra of propionaldehyde: Experimental and theoretical studies
Authors: Sharma Neha , Shastri Aparna , Das Asim Kumar , Rajasekhar B. N. 
Published: October 2023

We report here investigations on conformational effects in the vibrational and electronic spectra of the propionaldehyde (propanal) molecule using FTIR (600–3200 cm−1) and vacuum ultraviolet (VUV) synchrotron radiation photoabsorption (52 500–85 000 cm−1) spectroscopy respectively. Detailed theoretical calculations (using DFT and TDDFT methodologies) on ground and excited states of the cis and gauche conformers of propanal are performed; a comprehensive spectral analysis of the IR and VUV spectra is presented. A reinvestigation of the IR spectrum reveals several new bands assigned to the gauche conformer based on theoretical calculations. The VUV spectrum exhibits rich Rydberg series structure assigned to ns, np and nd series converging to the first ionization potentials of the two conformers. Earlier assignments of the 3s cis and gauche origins are revised in addition to extending Rydberg series analysis to several higher members. Vibronic bands accompanying the 3s, 4s and 4p Rydberg states are assigned using estimated vibrational frequencies of cis and gauche conformers in the cationic ground state. Simulated potential energy curves of the first few excited states (singlets and triplets) of cis and gauche conformers of propanal help in gaining insights into photodissociation mechanisms and possible conformational effects therein.
A SINS/DVL navigation method based on hierarchical water velocity estimation*
Authors: Wang Di , Wang Bing , Huang Haoqian , Zhang Haixu 
Published: October 2023

Abstract
Aiming at the problem that Doppler velocity log (DVL) cannot measure the velocity of the vehicle in the middle water environment, a Strap-down Inertial Navigation System (SINS)/DVL integrated navigation method based on hierarchical water velocity assistance is proposed. Firstly, according to the principle of DVL water layer flow measurement, the paper gives a hierarchical water recurrence principle. On this basis, a water velocity estimation method based on average weighted recurrence is proposed. The carrier depth information is introduced in this method, and the carrier velocity information is obtained by means of average value. This method can prevent the carrier velocity anomaly caused by the large error of single-layer water velocity measurement. Secondly, in view of the problem that the DVL water velocity measurement is easily disturbed in the middle water environment, a sliding window and a Chebyshev polynomial fitting function are introduced to realize the robust treatment of the water velocity. On this basis, combined with the Huber M robust filter algorithm, a hierarchical water velocity assisted integrated navigation algorithm based on the improved Huber M robust estimation is proposed to further improve the autonomous navigation accuracy in the middle water environment. Finally, the method proposed in this paper is verified by simulation. The results show that the hierarchical water velocity estimation method proposed in this paper can effectively estimate the water flow velocity, and its robust filtering algorithm can further improve the SINS/DVL integrated navigation accuracy in the middle water environment.
Finite element model correction method based on surrogate model with multiple working conditions and multiple measurement points
Authors: Song Mingchang , Shi Quan , You Zhifeng , Bai Yongsheng 
Published: October 2023

Abstract
The finite element model inversion method has been widely used in recent years for iterative adjustment of finite element model parameters. However, the models constructed in the existing literature are weak and time consuming to adapt to the environment, which makes it difficult to adapt to the current needs of numerical simulations. To address the problem of large uncertainty in the material parameters of real objects and the difficulty of constructing finite element simulation models, a surrogate-based model correction method was proposed for multi-condition and multi-measurement point finite element models. The innovative use of the working condition parameter as one of the training parameters of the surrogate model to construct the optimal mathematical model for parameter correction of the finite element model to variable working conditions. To reduce the number of finite element model calls and speed up the convergence process, an Minimizing Prediction-CV-Voronoi parallel infill sampling method for the surrogate model was proposed to overcome the problems of easily falling into local optima and slow convergence when solving after constructing the surrogate model. The proposed parallel infill sampling method was tested using the test functions. The finite element model correction method with multiple working conditions and multiple measurement points was applied for material parameter correction and identification of aluminum alloys. The superiority of the proposed parallel point addition method in terms of the solution accuracy and speed was demonstrated. The results show that the multi-measurement points have a significant effect on improving the model correction effect, and the constructed multi-condition surrogate model can make fast predictions for arbitrary conditions and has strong environmental adaptability. The finite element model correction method proposed in this paper, with strong environmental adaptability, high accuracy and fast iteration, has been tested to be very effective.
Uniform zinc-ion deposition regulated by thin sulfonated poly(ether ketone) layer for Stabilizing Zn anodes
Authors: Song Binxin , Wang Xinyu , Gao Hang , Gao Wenlong , Ma Xiangkun 
Published: October 2023

Abstract
Aqueous zinc-ion batteries (AZIBs) have been getting lots of attention in the field of large scale energy storage owing to their low cost, large capacity and excellent safety. However, Zn anodes have serious dendritic growth and corrosion hydrogen evolution issues, which hinder their further application. Herein, a simple drop-coating technique was used to build a thin sulfate poly(ether ketone) (SPEEK) solid-electrolyte interphase (SEI) on the surface of the Zn anode to address these issues. The sulfonated group (−SO3
−） in SPEEK can provide rich coordination sites for Zn2+, controlling the uniform deposition of Zn2+. Therefore, the polymer SEI can block electrolytes and homogenize the Zn2+ flux, resulting that the modified Zn (SPEEK@Zn) anode could effectively limit the formation of dendrites and side reactions. At a current density of 0.5 mA cm−2, SPEEK@Zn electrodes can maintain an ultra-long plating/stripping cycle life of 1000 h. Full batteries based on SPEEK@Zn have more superior cycle stability than the bare ones. This approach offers a straightforward and scalable remedy for high-performance Zn anode batteries.
Modulation of spin and charge currents through functionalized 2D diamond devices
Authors: Pinto Alysson A , de Moraes Elizane E , Chacham Helio , Batista Ronaldo J C 
Published: October 2023

Abstract
In this study, we explore the potential of functionalized two-dimensional (2D) diamond for spin-dependent electronic devices using first-principles calculations. Specifically, we investigate functionalizations with either hydroxyl (−OH) or fluorine (−F) groups. In the case of an isolated layer, we observe that the quantity and distribution of (−OH) or (−F) on the 2D diamond surface significantly influence the sp
2/sp
3 ratio of the carbon atoms in the layer. As the coverage is reduced, both the band gap and magnetic moment decrease. When the 2D diamond is placed between gold contacts and functionalized with (−OH), it results in a device with lower resistance compared to the (−F) functionalization. We predict that the maximum current achieved in the device increases with decreasing (−OH) surface coverage, while the opposite behavior occurs for (−F). Additionally, the surface coverage alone can alter the direction of current rectification in (−F) functionalized 2D diamonds. For all studied systems, a single spin component contributes to the total current for certain values of applied bias, indicating a spin filter behavior.
Modeling the co-assembly of binary nanoparticles
Authors: Mohanty Saurav , Chen Timothy , Chen I-Te , So Franky , Chang Chih-Hao 
Published: October 2023

Abstract
In this work, we present a binary assembly model that can predict the co-assembly structure and spatial frequency spectra of monodispersed nanoparticles with two different particle sizes. The approach relies on an iterative algorithm based on geometric constraints, which can simulate the assembly patterns of particles with two distinct diameters, size distributions, and at various mixture ratios on a planar surface. The two-dimensional spatial-frequency spectra of the modeled assembles can be analyzed using fast Fourier transform analysis to examine their frequency content. The simulated co-assembly structures and spectra are compared with assembled nanoparticles fabricated using transfer coating method are in qualitative agreement with the experimental results. The co-assembly model can also be used to predict the peak spatial frequency and the full-width at half-maximum bandwidth, which can lead to the design of the structure spectra by selection of different monodispersed particles. This work can find applications in fabrication of non-periodic nanostructures for functional surfaces, light extraction structures, and broadband nanophotonics.
Engineering microcracks in MWCNT/elastomer bilayers for high-performance stretchable sensor development
Authors: Wang Fei , Zhou Boran , Wang Rui , Jenkinson Jim , Zhu Weihang , Zhong Jing , Fan Zheng , Sun Li 
Published: October 2023

Abstract
Stretchable strain sensors in motion detection, health monitoring, and human-machine interfaces are limited by device sensitivity, linearity, hysteresis, stability, and reproducibility in addition to stretchability. Engineering defect structures in sensing material is an effective approach in modulating the material's physical properties, particularly those associated with mechanical responses. Here, we demonstrate that bilayers of carbon nanotubes deposited on an elastomer substrate are mechanically coupled. The microcrack size, density, and distribution in the nanotube thin film can be engineered through uniaxial tensile training to exhibit highly tunable and stable piezoresistive responses with sensitivity, linearity, range, and reproducibility. These responses far exceeding those in uniform metallic films, patterned structures, and composites. In addition, numerical analyses performed on a two-dimensional network model of the cracked nanotube film provide quantitative explanations of how crack configuration, and evolvement under strain, lead to the significant enhancements in stretchable sensor performance using current bilayer structures.
Fabrications of twisted moiré photonic crystal and random moiré photonic crystal and their potential applications in light extraction
Authors: Alnasser Khadijah , Li Shan , Sidhik Siraj , Kamau Steve , Hou Jin , Hurley Noah , Alzaid Ayman , Wang Sicheng , Yan Hao , Deng Jiangdong , Omary Mohammad A , Mohite Aditya D , Cui Jingbiao , Lin Yuankun 
Published: October 2023

Abstract
Twisted moiré photonic crystal is an optical analog of twisted graphene or twisted transition metal dichalcogenide bilayers. In this paper, we report the fabrication of twisted moiré photonic crystals and randomized moiré photonic crystals and their use in enhanced extraction of light in light-emitting diodes (LEDs). Fractional diffraction orders from randomized moiré photonic crystals are more uniform than those from moiré photonic crystals. Extraction efficiencies of 76.5%, 77.8% and 79.5% into glass substrate are predicted in simulations of LED patterned with twisted moiré photonic crystals, defect-containing photonic crystals and random moiré photonic crystals, respectively, at 584 nm. Extraction efficiencies of optically pumped LEDs with 2D perovskite (BA)2(MA)
n−1PbnI3n+1 of n = 3 and (5-(2′-pyridyl)-tetrazolato)(3-CF3−5-(2′-pyridyl)pyrazolato) platinum(II) (PtD) have been measured.
An uncertainty aided framework for learning based liver T
1ρ
mapping and analysis
Authors: Huang Chaoxing , Wong Vincent Wai-Sun , Chan Queenie , Chu Winnie Chiu-Wing , Chen Weitian 
Published: October 2023

Abstract

Objective. Quantitative

T

1
ρ

imaging has potential for assessment of biochemical alterations of liver pathologies. Deep learning methods have been employed to accelerate quantitative

T

1
ρ

imaging. To employ artificial intelligence-based quantitative imaging methods in complicated clinical environment, it is valuable to estimate the uncertainty of the predicated

T

1
ρ

values to provide the confidence level of the quantification results. The uncertainty should also be utilized to aid the post-hoc quantitative analysis and model learning tasks. Approach. To address this need, we propose a parametric map refinement approach for learning-based

T

1
ρ

mapping and train the model in a probabilistic way to model the uncertainty. We also propose to utilize the uncertainty map to spatially weight the training of an improved

T

1
ρ

mapping network to further improve the mapping performance and to remove pixels with unreliable

T

1
ρ

values in the region of interest. The framework was tested on a dataset of 51 patients with different liver fibrosis stages. Main results. Our results indicate that the learning-based map refinement method leads to a relative mapping error of less than 3% and provides uncertainty estimation simultaneously. The estimated uncertainty reflects the actual error level, and it can be used to further reduce relative

T

1
ρ

mapping error to 2.60% as well as removing unreliable pixels in the region of interest effectively. Significance. Our studies demonstrate the proposed approach has potential to provide a learning-based quantitative MRI system for trustworthy

T

1
ρ

mapping of the liver.
Size effects on a one-dimensional defective phononic crystal sensor
Authors: Shu Zhenzhao , Zhang Gongye , Cong Yu , Gu Shuitao 
Published: October 2023

Abstract
The influence of size effects on one-dimensional defective phononic crystal (PnC) sensors based on simplified strain gradient elasticity theory (SSGET) is studied in this paper. PnCs have been widely used in high-sensitivity gas and liquid sensors by introducing defects to disrupt the perfect PnC modes. In comparison with classical elasticity theory, the SSGET includes two microstructure-related material parameters that can accurately reflect the size effects of the structure. In this paper, the stiffness matrix method was used to calculate the transmission coefficients of the proposed model, avoiding the numerical instability of the transfer matrix method. The results show that the size effects at the microscale affect the perfect PnC bandgap’s frequency range, and the microstructure constants impress the resonant frequency while detecting liquids. Consequently, the accuracy of the sensor is reduced. These findings provide a theoretical basis for designing microscale PnC sensors.
Self-repairing elastomer based on imidazole π–π stacking interaction
Authors: Chen Shaojun , Ren Zhenghe , Chen Ming , Chen Heng , Zhuo Haitao , Zhong Haiqiang 
Published: October 2023

Abstract
Most self-healing materials have complex chemical structures and require cumbersome preparation processes, which seriously limit their large-scale application in the fields of electronic skins, wearable devices, biomedical applications and soft robotics. In this study, self-healing elastomers based on π–π stacking between imidazole groups were prepared by simpler and faster photo-polymerization with butyl acrylate (BA) and 1-vinyl imidazole (VIM), coded as BVn. Due to the imidazole groups in the side chains, the prepared elastomers had excellent self-repairing properties. After healing at 60 °C for 24 h, the strength and elongation at break of the repaired sample recovered to 97.2% and 95.4% of the original values, respectively. Importantly, the BVn based elastomers relied on π–π stacking interactions between imidazole groups rather than covalent crosslinks and could be recycled. These new self-repairing composite elastomers with high thermal stabilities, high elongations at break, good recoverabilites and high self-repairing efficiencies have great application potentials.