bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation on the time-varying meshing stiffness and dynamic characteristics of steel-plastic gear pair
Authors: Xiong Yangshou , Yu Dongyang , Huang Kang , Zhu Guodong , Zhai Hua 
Published: October 2022

Abstract
Large errors in time-varying mesh stiffness calculations of steel-plastic gears can result from the use of the potential energy method.Therefore, this paper considers the meshing characteristics and material properties of the steel-plastic gear pair, and proposes a method to calculate the time-varying mesh stiffness. The influence of load change on the time-varying mesh stiffness and dynamic performance of the steel-plastic gear pair is also considered. The simulation results show that the stiffness changes linearly with the load. The dynamic performance of the steel-plastic gear pair deteriorates with the increase in load. Under the same load condition, the dynamic response considering the effects of premature and extended tooth contact is better than that of the gear pair that does not consider the premature and extended tooth contact; this advantage is more evident at higher load.
Does digital financial inclusion reduce the risk of returning to poverty? Evidence from China
Authors: Xu Fang , Zhang Xiaoru , Zhou Di 
Published: October 2022

Abstract

Digital financial inclusion has become an important way to reduce poverty and prevent poverty return; however, few studies examine the relationship between digital financial inclusion measurement with poverty return governance. Based on data from the 2017 China Household Financial Survey, we construct a digital financial inclusion indicator for micro-households, and explore its impact on the risk of households returning to poverty and its mechanism of action. Our findings suggest that digital financial inclusion can reduce the risk of Chinese families returning to poverty, and that it has heterogeneous effects on families and regions with different characteristics. The main function is to improve household income level by promoting entrepreneurship and employment, and to improve risk resistance by enhancing household financial market participation and household asset allocation. Further analysis shows that digital financial inclusion has structural effects, nonlinear effects, and substitution effects with private lending in poverty governance. This paper has implications for understanding and improving the poverty governance effectiveness of digital financial inclusion.
JEL Codes: D14; I32; O33
Mitochondrial redox stress based treatment of hepatic encephalopathy
Authors: Bai Yunhu , Li Kenan , Li Xiaodong , Chen Xiyu , Zheng Jie , Wu Feifei , Chen Jinghao , Li Ze , Zhang Shuai , Wu Kun , Chen Yong , Wang Yayun , Yang Yan-Ling 
Published: October 2022

AbstractIncreased GABAergic tone in the substantia nigra reticulum (SNr) causes bradykinesia in hepatic encephalopathy (HE), but its mechanisms need to be further elucidated. In the present study, FosCreERT2 (TRAP2) strategy and designer receptors exclusively activated by designer drugs (DREADDs) strategy revealed that MHE and ammonia activated SNr Gad2-expressing GABA population and mitochondria in such population were sensitive to ammonia imbalance. We have shown that the chemogenetic inhibition of this population, or targeted overexpression of mitochondrial Ucp2 in such population, or systemic application of a mitochondrial-targeting antioxidant drug MitoQ, could ameliorate HE effectively, by relieving neuronal oxidative stress and improving mitochondrial dysfunction. Our results identify activation of Gad2 neurons and oxidative stress-induced mitochondrial abnormalities in SNr as critical determinants in HE and demonstrate the potential for targeting this pathway in HE.
Quality of sexual life and associated factors: a cross-sectional survey of Chinese breast cancer patients
Authors: Suo Rongfei , Ye Fenglian , Xie Minyi , Wu Yuzhen , Li Fulan , Kuang Shumin , Wang Rongli , Yang Xiaoyue 
Published: October 2022

Abstract
Purpose
This study aimed to explore Chinese breast cancer patients’ quality of sexual life and factors associated with quality of sexual life.
Methods
In this cross-sectional study, 201 breast cancer patients were required to complete questionnaires assessing characteristic information, cognition and assessment of sexual health, quality of sexual life, self-acceptance and coping style. Finally, hierarchical regression was used to analyze the factors associated with quality of sexual life in Chinese breast cancer patients.
Results
The average quality of sexual life was 75.14 ± 16.57. Hierarchical regression analysis showed that the associated factors of breast cancer patients’ quality of sexual life included age, education level, type of surgery, cognition and assessment of sexual health, self-acceptance, and avoidance and acceptance-resignation coping styles.
Conclusion
Concerning age, education level and type of surgery, obtaining correct information on sexual health, improving self-acceptance, and avoiding acceptance-resignation and avoidance coping styles could help breast cancer patients improve their quality of sexual life.
A Model for the Preparation of C4 Olefin by Ethanol Coupling Based on Intelligent Algorithm
Authors: Duan Ying , Zhou Jiayi , Zhou Keping , Sun Liying 
Published: October 2022

Abstract
With the shortage of fossil fuels and environmental pollution, traditional butanol and C4 olefins must be developed as green, sustainable and alternative energy sources for the preparation of industrial chemicals. Ethanol molecules can be prepared using catalysts, are widely available and are environmentally friendly. Therefore, itis of great significance and to explore the process conditions for the preparation of ethanol-coupled C4 olefins. According to the different situations of each problem, this study first uses the analytic hierarchy process to analyze the characteristics and influencing factors of the catalyst combination, and builds a nonlinear regression model. The FCM-RBF network modeling method was than compared with the corresponding analysis method and cytogenetic algorithm, and the relationship between the ethanol conversion rate and catalyst combination was obtained. Furthermore, combined with the critical solution method and niche genetic algorithm, an optimization model was established for the highest C4 olefin yield, and the theoretical maximum value of the C4 olefin yield was obtained.
The vulnerability of international floating population to sexually transmitted diseases: a qualitative study
Authors: Jiang Jiahan , Zhou Yuyin , Cheng Feng , Xu Junfang , Wang Zhaochen 
Published: October 2022

Abstract
With the rapid development of worldwide economy and globalization, the health of international floating population especially sexual health has become a problem can not be ignored. This study explored the potential vulnerability of sexually transmitted diseases (STD) from the aspects of society, religion, culture, migration, community environment and personal behaviors. The in-depth exploratory interviews with 51 international floating people living in China were conducted in June and July 2022. We found that the conservative culture under the shackles of religion leads to the lack of sex education, resulting in insufficient personal knowledge and a lack of motivation and awareness to negotiate condom use in sexual contact. Additionally, geographical isolation and the reduction of informal social supervision led to the sudden expansion of personal space, which challenges the ability of individuals to cope with STD risk together with social isolation and marginalization, and increases the possibility of individuals engaging in risky behaviors.
Role of a novel neuroblastoma amplified sequence mutation, c.1342T&gt;C (p.Cys448Arg), in an infant with fever-triggered recurrent acute liver failure
Authors: Chu Xin , Ji Juhua , Yang Mingming , Jia JunJun , Wu Qi , cui Hengxiang , Zhu Baofeng 
Published: October 2022

Abstract
Mutations localized in the neuroblastoma amplified sequence (NBAS) gene correlate with infantile liver failure syndrome 2. In this study, we identified a novel NBAS mutation in a 26-month-old Chinese female diagnosed with fever-triggered recurrent acute liver failure (ALF). The proband exhibited highly elevated liver enzymes, severe coagulopathy, and acute renal failure. Whole-exome and Sanger sequencing revealed that the proband carried a compound heterozygous missense mutation in NBAS c.938_939delGC and c.1342T > C (p.Cys448Arg), the former of which causes a truncated NBAS protein without normal function and the latter of which affects evolutionarily conserved amino acid residues. The ratio of peripheral CD3+, CD4+, and CD45 + to CD3+, CD8+, and CD45 + cells was lower in the patient than in children without ALF. Moreover, the c.1342T > C mutation reduced the expression of NBAS mRNA and protein, enriched intracellular reactive oxygen species, and induced cell apoptosis and endoplasmic reticulum stress in in vitro cell models. Our study clarifies the mechanism by which NBAS mutations regulate ALF progression. Furthermore, we suggest employing NBAS gene detection in children with unexplained fever-triggered recurrent ALF or liver dysfunction.
A three-sub-step composite method for the analysis of rigid body rotation with Euler parameters
Authors: Ji Yi , Xing Yufeng 
Published: October 2022

Abstract
This paper proposes a composite method for the analysis of rigid body rotation based on Euler parameters. The proposed method contains three sub-steps, wherein for keeping as much low-frequency information as possible the first two sub-steps adopt the trapezoidal rule, and the four-point backward interpolation formula is used in the last sub-step to flexibly control the amount of high-frequency dissipation. On this basis, in terms of the relation between Euler parameters and angular velocity, the stepping formulations of the proposed method are further modified for maximizing the accuracy of the angular velocity. For the analysis of rigid body rotation, the accuracy of the proposed method can converge to second-order, and the amount of its high-frequency dissipation can smoothly range from one (conservative scheme) to zero (annihilating scheme). Additionally, in the proposed method, the constraints at the displacement and velocity levels are strictly satisfied, and the numerical drifts at the acceleration level can be effectively eliminated. Several benchmark rigid body rotation problems show the advantages of the proposed method in stability, accuracy, dissipation, efficiency, and energy conservation.
Impact of coping strategies on activities and participation restrictions in adults with unilateral hearing loss in Japan: A survey
Authors: OKANO Yumi , HIROTA Eiko , HARASHIMA Tsuneo 
Published: October 2022

Abstract
Background
Unilateral hearing loss (UHL) causes difficulty in communication in certain environments. There is limited research on environmental factors that increase the hearing difficulty of patients with UHL. Thus is necessary to clarify the effect of coping strategies, which are individual factors, on the activities and participation restrictions of patients with UHL.
Methods
A questionnaire was prepared based on experiences from six patients, and patients were selected using the snowball sampling method. The questionnaire comprised of 17 items; 12 items related to “activities/participation” restrictions and five related to “coping strategies.” The questionnaire was administered online on a UHL community page on a social networking site.
Results
Responses were obtained from 135 UHL patients. Over 90% of patients with UHL answered “activities/participation” restrictions, such as “concerns over seating position” and worry that they may be causing “discomfort to communication partners.” The scores of “activities/participation” were strongly correlated with “focus on attention” and “pretending to have heard.”
Conclusions
Negative coping strategies increase activities/participation restrictions. Therefore, it is crucial to provide appropriate guidance on coping strategies that effectively improve communication in patients with UHL.
Coupled mixed-potential and thermal hydraulics model for long-term uniform corrosion of copper canisters for storing spent nuclear fuel
Authors: Choi Sungyeol , Chae Nakkyu , Park Samuel , Seo Seungjin , Foster Richard , Ju Heejae 
Published: October 2022

Abstract
Canister performance is a major issue for constructing reliable deep geological repositories for storing spent nuclear fuels, and corrosion resistance is main the factor determining canister durability. We developed a 2-D multiphysics model, which can predict both the corrosion rate and potential, for simulating copper canister corrosion in deep geological repositories. We found that canisters corroded through the long-cell action in a deep geological repository, the corrosion was quite limited, and the overall canister durability was around 1.7 million years. Our results demonstrated that copper exhibits sufficient corrosion resistance and that long-cell action-based corrosion cannot severely damage copper canisters.
Development of latent fingerprints using colored inclusion complex powders of Cationic β-cyclodextrin with organic dyes from wastewater effluents
Authors: Zhang Manyan , Shi Wenzhao , Liu Jinshu , Cui Shanshan , Zhou Hongjuan , Su Guoxin 
Published: October 2022

AbstractColored powders were widely applied to develop latent fingerprints (LFPs) on various substrates in forensic science; however, few researches involved the recycle of the organic dyes removed from wastewater effluents as developing agent. Therefore, colored inclusion complex powders (CICPs) of cationic β-cyclodextrin with Acid Red G as simulated dye from wastewater effluents were prepared and used in the development of LFPs on different substrates. The formation of the CICPs was confirmed by FT-IR, SEM and DSC. Excellent visualization images of latent fingerprints developed with CICPs, especially for latent fingerprints deposited on the smooth and non-porous surface, can be obtained quickly by the powder method. The Level 3 features of fingerprints such as pores were observed clearly and benefit for identification. Meanwhile, the developing performance of latent fingerprints can be maintained for 15 days, indicating that the CICPs showed good stability and was expected to be practically applied in forensic science.
Valorising Waste PET Bottles into Carbon Anodes for Li-ion Battery using Ionothermal Carbonisation: A Preliminary Study
Authors: Onwucha Chizoom N. , Ehi-Eromosele Cyril O. , Ajayi Samuel O. , Siyanbola Tolutope O. , Ajanaku Kolawole O. 
Published: October 2022

Abstract
Waste PET bottles (WPB) is fast becoming an environmental nuisance and its valorization to carbon anode could be a sustainable method to manage this waste and also develop cheap and high-performance carbon materials for Li-ion batteries (LIBs). Carbonaceous materials derived from WPB were prepared using an ionothermal carbonization (ITC) method in choline chloride urea-deep eutectic solvent system. The ITC-derived materials were subsequently annealed in air to obtain carbonaceous materials. The ITC-derived carbon displayed ultra-high nitrogen doping but lesser carbonization and graphitic ordering compared to the reference carbon material obtained using hydrothermal carbonization (HTC). Therefore, higher temperature annealing/pyrolysis was recommended for the ITC-derived carbon. The HTC-derived carbon was investigated as anode material in LIB with promising electrochemical performance. The LIB displayed stable reversible capacity of about 130 mAh/g at a current density of 0.1 mA/g after 20 cycles and an increasing Coulombic efficiency that reached 98% after the 50th cycle. This work shows that a facile and sustainable synthesis method could be used to produce cheap activated carbons with potential applications in energy storage systems such as LIBs.
Enhanced kinship verification analysis based on color and texture handcrafted techniques
Authors: Nader Nermeen , EL-Gamal Fatma EL-Zahraa , Elmogy Mohammed 
Published: October 2022

Abstract
Nowadays, kinship verification is considered an attractive research area with a great interest in computer vision. It significantly affects applications in the real world, such as finding missing individuals, forensics, and genealogical research. However, verifying kinship relations between people using facial images is not straightforward. Many limitations affect kinship verification accuracy. Therefore, this paper proposes a new approach for verifying kinship based on facial image analysis. The proposed approach goes into six stages: preprocessing, feature extraction, feature normalization, feature fusion, feature representation, and kinship verification. The preprocessing stage is responsible for converting RGB images into other color models. Different types of handcrafted feature descriptors (i.e., color and texture descriptors) are extracted in the feature extraction stage. The texture features are represented by scale invariant feature transform (SIFT), local binary pattern (LBP), and heterogeneous auto-similarities of characteristics (HASC), whereas the color features are represented by color correlogram (CC) and dense color histogram (DCH). Then, all the features are set to the same range in the feature normalization stage to be suitable for feature fusion. The feature fusion stage takes place where the different types of features are concatenated together. Next, in the feature representation stage, the parent and child features are gathered into one feature vector. Finally, the kinship verification stage produces the final decision of being kin or non-kin using the gentle AdaBoost ensemble classifier. KinFaceW-I and KinFaceW-II datasets were used to evaluate the proposed approach, where the obtained results were 79.54\% and 90.65\%, respectively. It is noteworthy that the proposed approach outperforms many state-of-the-art approaches that verify kinship, including those dependent on metric learning and deep convolutional neural nets (CNNs).
Platelet-rich fibrin vs. local buccal advancement flap for closure of oroantral communications: A prospective clinical study
Authors: Hunger Stefan , Krennmair Stefan , Krennmair Gerald , Otto Sven , Postl Lukas , Nadalini Danilo-Marc 
Published: October 2022

Abstract

ObjectivesThis study compared the clinical outcome as well as the wound healing course, the displacement of the mucogingival border (MGB) and the pain level between the use of platelet-rich fibrin (PRF) and buccal advancement flap (BAF) for the closure of oroantral communications (OAC).Material and MethodsFifty eligible patients with an OAC defect larger than 3 mm were randomly assigned either to PRF (test group, n = 25) or BAF (control group, n = 25) for defect closure. In a prospective follow-up program the defect closure healing process, the scoring of the wound healing course by Landry wound healing index (score: 0–5) as well as the displacement of the MGB and the postoperative pain score were evaluated.ResultsFive patients in each group were lost to follow-up resulting in 40 patients (20 in each group) for continuous evaluation. At postoperative day 21 (study endpoint) a non-significant difference regarding success rate (defined as closure of OAC) was noticed between the test (90%; 18/20) and control group (90%; 18/20). A univariate analysis showed significant differences for age and defect size/height for the use of PRF between successful-tight and open–failed defect healing. At the final evaluation, a significant (p = 0.005) better wound healing score, a lower displacement of the MGB as well as lower pain-score were seen for the use of PRF.ConclusionsPRFis promising regarding defect healing outcome.Clinicalrelevance The defect size should be taken into account when choosing the number and size of PRF plugs used.
Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage
Authors: Rudolph Manuel , Miller Jacob , Chen Jing , Acharya Atithi , Perdomo-Ortiz Alejandro 
Published: October 2022

Abstract
While recent breakthroughs have proven the ability of noisy intermediate-scale quantum (NISQ) devices to achieve quantum advantage in classically-intractable sampling tasks, the use of these devices for solving more practically relevant computational problems remains a challenge. Proposals for attaining practical quantum advantage typically involve parametrized quantum circuits (PQCs), whose parameters can be optimized to find solutions to diverse problems throughout quantum simulation and machine learning.
However, training PQCs for real-world problems remains a significant practical challenge, largely due to the phenomenon of barren plateaus in the optimization landscapes of randomly-initialized quantum circuits.
In this work, we introduce a scalable procedure for harnessing classical computing resources to determine task-specific initializations of PQCs, which we show significantly improves the trainability and performance of PQCs on a variety of problems. Given a specific optimization task, this method first utilizes tensor network (TN) simulations to identify a promising quantum state, which is then converted into gate parameters of a PQC by means of a high-performance decomposition procedure. We show that this task-specific initialization avoids barren plateaus, and effectively translates increases in classical resources to enhanced performance and speed in training quantum circuits. By demonstrating a means of boosting limited quantum resources using classical computers, our approach illustrates the promise of this synergy between quantum and quantum-inspired models in quantum computing, and opens up new avenues to harness the power of modern quantum hardware for realizing practical quantum advantage.
Synthesis of Azo-linked Porous Organic Polymers for Pipette Tip Solid-Phase Extraction of Sedative Residues from Animal Tissues Samples
Authors: Li-Juan Yuan , Jian-Jun Xiang , Qie-Gen Liao , Da-Wen Zhang , Lin-Guang Luo 
Published: October 2022

Abstract
Azo-linked porous organic polymers (APOPs) were synthesized by a simple azo reaction, with 2,2'-bis(trifluoromethyl)benzidine and 1,3,5-trihydroxybenzene as the monomers. The preparation process was mild, green and environmental-friendly, avoiding the use of high temperature, metal catalysis and harmful organic reagent. The obtained APOPs were characterized by scanning electron microscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis, powder X-ray diffraction and Brunauer-Emmett-Teller. With the prepared APOPs as adsorbent, a method of pipette tip solid-phase extraction-liquid chromatography tandem mass spectrometry detection (PTSPE-LC-MS/MS) was proposed for the analysis of target sedatives in animal tissues. Furthermore, the parameters for the extraction of five sedatives, including the amount of adsorbent, pH value, ion strength, elution solvent and volume, were investigated. Under the conditions optimized, the linear dynamic range was found from 0.1 µg kg− 1 to 10.0 µg kg− 1, and the limits of detection were ranged from 0.02 µg kg− 1 to 0.1 µg kg− 1. The method was assessed by the analysis of target sedatives in animal tissues, and the recoveries for the spiked pork samples and egg samples were 84–102% and 83–101%, respectively. The results show that the developed method of PTSPE-LC-MS/MS with APOPs as adsorbent is efficient for the analysis of trace sedatives in animal tissues.