bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic shimmy behavior and bifurcation analysis of driver-vehicle-road system
Authors: Wei Heng , Li Liang , Xu Yinggang , Lei Shuai , Wang Yirui 
Published: November 2022

Abstract
Based on the stretched string tyre model, the constraint equation with consideration of the dynamic coupling between the front wheel shimmy and plane motion of the vehicle is derived. On this basis, a novel dynamic shimmy model of driver-vehicle-road system is proposed. The root loci of the dynamic system are analyzed and two critical vehicle speeds are obtained by solving the Jacobian matrix. For two critical vehicle speeds, the centre manifold theory is applied to reduce the dynamic system and examine the stability of the limit cycle. The system stability region for different system parameters and road adhesion coefficients is also analyzed. Furthermore, the saddle node (SN) bifurcation and Hopf bifurcation characteristics of the dynamic system considering the steering input are studied with the help of the complexification-averaging (CA) method. Then, the mathematical expression of the periodic solution is obtained, and the effects of system parameters and vehicle driving conditions on the bifurcation characteristics are also investigated. According to the numerical and analytical results, measures to suppress vehicle shimmy are proposed. Finally, the experimental data verify the reliability of the shimmy model.
Nonlinear thermal-dynamic coupling effect of a dual-rotor system with an intershaft bearing
Authors: Gao Peng , Zhang Zhiyong , Dai Qiyi , Jin Yulin , Hou Lei , Chen Yushu 
Published: November 2022

Abstract
The nonlinear thermal-dynamic coupling effect refers to the interaction between the nonlinear dynamic characteristics of a dual-rotor system and the thermal effect of an intershaft bearing. In this paper, the nonlinear thermal-dynamic coupling effect of the dual-rotor system is proposed and studied by the operating radial clearance and dynamic load of the intershaft bearing. A nonlinear dynamic model of the dual-rotor system under the thermal effect of the intershaft bearing is established by considering nonlinear factors such as the Hertzian contact force and the operating radial clearance of the intershaft bearing. The dynamic load of the intershaft bearing is obtained based on the dynamic responses of the system. Based on this, a thermal effect model of the intershaft bearing considering the nonlinear dynamic characteristics of the system is proposed. The operating radial clearance of the intershaft bearing is attained according to the temperature field of the intershaft bearing. The thermal-dynamic coupling model of the dual-rotor system is presented by connecting the dynamic model and the thermal effect model. The results solved by numerical iteration show that the nonlinear dynamic characteristics of the dual-rotor system are deeply coupled with the thermal effect of the intershaft bearing, and become weaker. In turn, a complex nonlinear thermal effect affects the bearing due to the nonlinear dynamic characteristics of the system. Furthermore, the operating radial clearance of the intershaft bearing is closely related to the thermal-dynamic coupling effect of the system. The operating radial clearance decreases with increasing temperature, decreases with decreasing initial radial clearance, and decreases sharply in the resonance regions. Thus, the “negative clearance” may affect the operating radial clearance of the intershaft bearing, which endangers the operation of the rotor system. Moreover, the nonlinear characteristics of the thermal-dynamic coupling effect become stronger as the ambient temperature increases. The results presented in this paper provide insight into the mechanism of the nonlinear thermal-dynamic coupling effect and new theoretical guidances for the dynamic and thermodynamic design of the intershaft bearing in the dual-rotor system.
Why do women walk away from maternal health services in Southwest Ethiopia? A qualitative study of caregivers' and clients' perspectives.
Authors: Kitila Sena Belina , Feyissa Garumma Tolu , Wordofa Muluemebet Abera 
Published: November 2022

Abstract
Background
Continuum of care (CoC) CoC for Maternal Health Care (MHC) is continuity of care through pregnancy, childbirth, and after birth as a key strategy in reaching mothers and babies at a crucial time. However, dropout from this basic package and critical for women and their infants’ survival and wellbeing is widespread in Ethiopia.
Objective
The aim of this study is to explore the underlying reasons why do women walk away from maternal health services in Ethiopia caregivers' and clients' perspectives.
Methods
Exploratory qualitative study took place at selected health facilities in the Jimma zone in November to December 2020 among purposefully selected key informants from woreda health departments, head of the health facilities, midwives and women attending the MCH clinic based on the established criteria. Data was collected using key informants interview guide
Result
The field note, interview note, and tape-recorded interviews were transcribed and later translated into English. The main themes were identified and compared across all the transcripts to determine similarities and variations in the views of respondents. Accordingly, the reasons why do women walk away from maternal health services were categorized under three main themes: healthcare system related reasons (shortfall in supplies, missed use of the concept of responsibility and accountability, high staff turnover, poor linkage and COVID_19) ,community level barriers (socio cultural /norm, less attention to forum, weak community level structure) and individual level barriers (Knowledge and sense of fatigue as gestational age advances, late booking for ANC, lack of motivation and socioeconomic).
A novel deformation control method for the asymmetric thin-walled component by optimizing the feed rate of the finishing process
Authors: zhongxi zhang , WANG Longhao , WANG Shuaiqin , ZHANG Dinghua , JIANG Aituan 
Published: November 2022

Abstract
The complicated thin-walled components with asymmetric structure are extensively used in aerospace fields. The material of these parts is hard-to-machining (such as titanium alloy and superalloy) and the machining induced residual stress (MIRS) is inevitable in each cutting process. The component is deformed easily after the MIRS is rebalanced, which has become one of the most important challenges for the manufacturing of these parts. To overcome this problem, a deformation control method for the asymmetric thin-walled component by optimizing the machining parameters of the finishing process is proposed, which is aimed at adjusting the distribution of MIRS to make the MIRS tends to self-balancing. Firstly, the deformations of two typical thin-walled components, the thin-walled plate and the circular section plate, that caused by the symmetrically distributed MIRS are discussed in detail. The influence of the component structure on the deformation is revealed. Subsequently, the component is divided into different sub-regions and the optimization algorithm, includes the objective function and constraint, is established to adjust the feed rate of each sub-region. To achieve the optimization, the mapping relationship between the deformation and the feed rate is established by combining the machining experiments and finite element method. And then, the method of adjusting the distribution of the MIRS based on the mapping relationship is presented, using which the component is divided into several sub-regions and the feed rate of each sub-region is optimized. Finally, two group machining experiments on the complex thin-walled blade are carried out. Experimental results illustrate that the proposed method can reduce the machining deformation obviously.
Numerical and Experimental Investigation of the Effect of Cold Extrusion Process on Residual Stress and Fatigue Life of Internal Thread of High Strength Steel
Authors: Wan Nian , He Qiang , Jing Xuwen , Jiang Yonggang , Zhou Honggen 
Published: November 2022

Abstract
The internal thread cold extrusion process is improved to further increase the fatigue life of diesel connecting rod in order to improve its fatigue performance. Based on three-dimensional finite element model, the residual stress distribution around the cold extruded internal thread of 42CrMo4 high-strength steel plate hole structure under different edge distance ratios is analyzed in detail. The multiaxial fatigue life prediction model of thread is established based on stress-strain method, the accuracy and feasibility of the prediction model was further proved by fatigue experiments. The thread surfaces are examined by utilizing the scanning electron microscope, coordinate with the X-ray diffraction method to measure the residual stress of thread, the relationship between the residual stress distribution, surface structure and fatigue life of the extruded thread is revealed. The research shows that the improved fatigue prediction model gives a satisfactory accuracy in predicting the fatigue life, both of the tangential residual stress fields around the extruded thread and the surface structure have a certain influence on its fatigue life, especially when the edge distance ratio is less than 2. The tangential residual compressive stress of the cold extruded internal thread decreases with when the edge distance ratio being smaller, while the depth of the stress zone increases firstly and then decreases. Higher load will greatly reduce the fatigue life and dispersion of the thread, the fatigue life increases linearly with the increase of the edge distance ratio under lower stress level.
Low-light image enhancement based on Double component processing of Retinex model
Authors: Chen Huateng , Liu Lei , Deng Weitao , Shi Feng 
Published: November 2022

Abstract
The Retinex model has been shown to be an effective method of enhancing shimmering images, and how to deal with the illuminance and reflection components decomposed from Retinex model is the key to obtain high-quality enhanced images.To better apply the Retinex model to achieve more effective micro-optical image enhancement, this paper proposes an image enhancement method based on Retinex model with dual enhancement of the illuminance and reflection components.First, to reduce the computational complexity of the algorithm, the original RGB image is converted to HSV color space, and the V component is extracted for subsequent processing in this paper; Then,processing V components by guided filter to obtain the illuminance component according to Retinex model,so that the obtained illuminance component will not have edge loss;The reflection component is then obtained by logarithmic decomposition.Then global adaptive brightness enhancement and local contrast enhancement are performed for illuminance components; detail enhancement was applied to the reflection component.Finally the enhanced illuminance and reflection components are combined into an enhanced image. Experiments on a large number of datasets show that this method can achieve better image enhancement in both subjective and objective evaluation, and is superior to or similar to the existing methods.
A Novel Method for Sex Determination Using Zygomatic Arch Curve Equation in Balinese Population
Authors: Utomo Haryono , Sari Ratih Indah , Lastiasih Yudhi , Kurniawan Arofi , Marini Maria Istiqomah , Margaretha Mieke Sylvia , Marya Anand 
Published: November 2022

AbstractOBJECTIVE Conventional methods for sex determination, such as zygomatic arch geometry and morphometry, are based on visual and linear anthropometric measurements. Considering the geographical condition of Indonesia, simple materials and methods for sex determination are important. Bali is a population that can represent the genetic population of Southeast Asia as it is one of the migration meeting points, and it has a unique O2a chromosomal lineage. Therefore the objective of this study was to verify a new simple method for sex determination using the zygomatic arch curvature. METHODS: A cross-sectional research was conducted involving 50 male and 50 female participants between the ages of 16 to 18. Brass wires were used to measure zygomatic arch curvatures. The data were processed using Microsoft Excel to produce a curve equation for sex determination and the size range of zygomatic bone arch length. RESULTS: The average yield and ranges right male zygomatic bone were coefficient a (-0.128 – -0.103), coefficient b (0.734–1.025), coefficient c (0.056–0.248), while the left were coefficient a (-0.138 – -0.098), coefficient b (-0.965 – -0.709), coefficient c (0.087–0.196). The right female range yields were coefficient a (-0.165 – -0.110), coefficient b (0.785–1.121), coefficient c (0.101–0.179), while the left were coefficient a (-0.142 – -0.111), coefficient b (-0.980 – -0.799), coefficient c (0.086–0.184). CONCLUSION: This new simple method can be used for forensic sex determination using zygomatic arch curvature based on a validated curve equation.
Hypoxic Stress Promotes Human Hypothalamic Hamartomas Pathogenesis through Regulating the TGFα-Mediated Slit2 and the Semaphorin Signaling Cascades in Hypothalamic Neuronal Progenitor Cells
Authors: Liu Bo , Ren Hai-Long 
Published: November 2022

Abstract
Hypothalamic hamartomas (HH), a developmental-deficient neurological disorder, is frequently accompanied with the hallmark symptoms of central precocious puberty (CPP) and epileptic (gelastic) seizures (GS), which results in patients’ cognitive abnormality as well as mental retardation. Molecular mechanisms underlying HH pathogenesis are still under investigation. In this study presented here, we collected cohorts of human HH tissue samples and explicitly investigated the role of hypoxic stress in HH initiation. Our finding reveals that hypoxic stress is a leading cause for HH pathology. Growing in an oxygen-deficient environment, embryonic neural progenitor cells isolated from hypothalamic region have to obtain nutritional ingredients including lactate and glutamate from hypoxic-associated glycolytic and glutaminolytic metabolisms, which is monitored by transforming growth factor (TGFα) signaling cascade. In turn, excessive productions of lactate and glutamate profoundly promotes hypothalamic neural progenitor cells (HNPCs)’ migration under hypoxic condition, which is accompanied by initiation of the TGFα-mediated Semaphorin cascade, but suppression of the TGFα-mediated Slit2 cascade. Intriguingly, TGFα and TGFβ affinity, but not TGFβ protein expressing dynamic, decides the signaling initiations of the two migration-associated cascades both in HH tissues as well as in HNPCs. Noteworthy, TGFβ restricts the release of TGFα from TGFα-TGFβ protein complex, and TGFβ participates in maintaining the spatial stability of this protein dimer in HNPCs subjected to hypoxic stress. Taken together, our findings demonstrate that hypoxic stress is a leading etiology for HH pathology, through manipulating the signaling transduction of the TGFα-mediated Slit2 cascade and the Semaphorin cascade in proliferating HNPCs susceptible to suffer from hypoxic stress over embryonic developmental period.
Assessment of Bacterial Contamination and Antibiotic Susceptibility Patterns of Bacteria Isolated from Milk collected from Biharwe in Mbarara District: Cross-Sectional Study
Authors: NATHAN MUGENYI , Amanya Martin , Ssebagala Pius Stewart , Kisembo Desire , Joseph FortunateKabuuye , PRIZE NINSIIMA 
Published: November 2022

Abstract
Introduction: Bacterial contamination in milk is increasingly becoming a global health threat that is predisposing humans to various food-borne pathogens. This study is carried out to isolate and identify the possible common bacteria which cause milk contamination and the risks associated with it in Biharwe.
Methods: A cross-sectional study was carried out in Biharwe small holder dairy farms, Kashari Sub County, Mbarara district, from March 2022 to October 2022 to assess bacterial contamination, isolate, identify, and test antibiotic susceptibility patterns of organisms. A total of 20 milk samples were randomly collected from 20 privately owned small holder dairy farms with healthy lactating animals. Isolation and identification of organisms was carried out by using biochemical tests. The bacteria so identified and their isolation rate were E. coli (20%), Citrobacter freundii (40%), Enterobacter Cloacae (30%), Enterobacter agglomerans (10%). These are indicative of significant contamination of milk and important human pathogens. The antibiotic susceptibility test was performed on Mueller-Hinton agar by the Kirby-Bauer disk diffusion method. About 100 % of E. coli isolates was sensitive to Tetracycline with 0% resistance, 75% of Citrobacter freundii was sensitive to Tetracycline with 25% resistant isolates, 100% of Entrobacter cloacae was sensitive to Tetracycline with 0% resistance, and 100% of E. agglomerans was sensitive with 0% resistance. Overall 90% of the isolates were sensitive to Tetracycline with only 10% resistance. All the bacterial isolates were 100% sensitive to Gentamicin with 0% resistant. 100% of Citrobacter freundii, Entrobacter cloacae and Enterobacter agglomerans isolateswas resistant to Ampicillin while only 50% of E.coli isolates was sensitive to Ampicillin. 100% of Entrobacter cloacae, E.coli and Enterobacter agglomerans isolates was sensitive to Streptomycin while 75% of Citrobacter freundii was sensitive and 25% was resistant to Streptomycin. Citrobacter freundii was the only isolated organism resistant to more than one antibiotic (100% resistant to Ampicillin and 25% resistant to Tetracycline and Streptomycin). Therefore, the pattern of antibiotic susceptibility tests among the isolates is statistically significant in Gentamicin (P=0.00).
Conclusion: This study revealed that raw cow’s milk in the study area could be an important source of infection with a wide range of organisms, particularly gram-negative bacteria. An important source of microbial contamination of milk is fecal pollution probably cow dung. There is need for instituting effective control measures to protect public health. This includes mandatory milk pasteurization by traders and improved hygienic handling of containers during milking, ensuring milking is not done on floors with cow dung.
Mathematical and Parametric Analysis of Graphene/Graphite based Stacked-Disk Metal-free Cone Shaped Wide band Tera hertz Absorber
Authors: Yadav Ramkrishna , Rana Arun Kumar , Yaduvanshi Rajveer Singh , Bhushan Bharat , Rana Sumit Kumar 
Published: November 2022

Abstract
In this article, a wide band Tera hertz metal free absorber has been designed and numerically analysed. Graphite/Graphene disk is stacked which is surrounded by a low permittivity substrate. Further a substrate is placed over the stacked Graphite sheet, which acts for resonance cavity. A conical Shaped Structure is obtained by placing such type of model over one another by reducing the outer radius only. The resonating mode of dielectric covered substrate and Graphite or Graphene sheet are matched for wide band absorber. The result has also been calculated by analysis of its Equivalent Transmission line model. The result obtained from transmission line and from numerical analysis have been compared. These result have also been verified using MATLAB and CST software. The proposed absorber provides a simple and compact structure by polarisation. By changing the incident angle of 750 of proposed absorber polarisation variation provide a higher-level absorber in same plane. A Graphene disk is used at the top to change the chemical potential of absorber so that different tuning is provided for the response of wide band absorber. The chemical potential for broad band absorber lies between 0 and 0.21 eV, while for narrow band absorber, it is higher than 0.21 eV. If chemical potential is greater than 0.21 eV, it separates the lower order band that is provided by stacked Graphite sheet. This enhances the working capacity of proposed metal free wide band absorber.
Structural Competence and Equity-Minded Interprofessional Education: A Common Reading Approach to Learning
Authors: Bates Samantha , Fisher Kelly , Watson Jennifer , Fair Kayla , Orwig Tracy , Walker Danielle 
Published: November 2022

Abstract
As a result of the COVID-19 pandemic and the Black Lives Matter movement, leaders in the field of interprofessional (IP) education have encouraged faculty to explore online adaptations to curriculum and examine strategies that enhance students’ structural competence. Structural competence is broadly defined as the ability to understand how oppression, governmental policies, and environmental inputs impact the health and well-being of an individual. With these charges in mind, a team of IP health science faculty developed two online curricular activities guided by the “common reading” book, Five Days at Memorial: Life and Death in a Storm-Ravaged Hospital by Sheri Fink. This article describes the development and findings of a mixed-methods evaluation of the two IP learning activities: (a) the Interprofessional Common Reading Experience (IPCRE) and (b) the IPCRE follow-up. The activities engaged over 250 students across multiple health professions (i.e., social work, nursing, athletic training, speech-language pathology, nutrition, and public health) attending three different universities. Our findings contribute to a greater understanding of how to develop online IP activities and curricular innovations that help to train equity-minded and anti-racist practitioners.
In-silico approach to design effective antiviral drugs against SARS- CoV-2 and SARS-CoV-1 from reported phytochemicals
Authors: Fatema-Tuz-Zohura Fatema-Tuz-Zohura , Sh Abu Rashed Md. , Hasan Md. Maruf , Aeyas Abdullah , Chowdhury Faisal I. 
Published: November 2022

Abstract
Computer-aided drug design by molecular docking, statistical analysis like multiple linear regression (MLR), principal component analysis (PCA), and molecular dynamics studies can emerge as an efficient approach to design promising core scaffolds for coronavirus medication. The main protease (3CLpro) of SARS-CoV-2 and SARS-CoV-1 is one of the critical targets for designing and developing broad-antiviral therapeutic drugs. In this evaluation, we have selected 40 reported phytochemicals to design the efficient core scaffolds, which can act as a potent inhibitor against the main protease of SARS-CoV-2 and SARS-CoV-1. We categorized the selected phytochemicals into a more bioavailable and less bioavailable set considering phytochemical drug likeliness properties. All the selected phytochemicals vigorously interact with the catalytic dyad His41 and Cys145. Statistical analysis MLR has confirmed their contribution to structural features on binding affinities and PCA analysis for structural activity relationship (SAR) for their structural pattern recognition to determine the core scaffolds inhibitors. We have confirmed that 4'-Hydroxyisolonchocarpin, and BrussochalconeA, are safe and exhibit good pharmacological properties. Our comprehensive computational and statistical analysis reveals that these selected phytochemicals (4'-Hydroxyisolonchocarpin, BrussochalconeA) can be used to design potential broad-antiviral inhibitors against the SARS-CoV-2 and SARS-CoV-1.