bluuebunny/crossref_metadata_2025 huggingface dataset:
Adverse childhood experiences in patients with severe health anxiety: No evidence for an increased frequency compared to patients with obsessive–compulsive disorder
Authors: Gehrt Tine B. , Obermann Marie‐Louise , Toth Fruzsina Eva , Frostholm Lisbeth
Published: July 2022

Theoretical models of health anxiety emphasize adverse childhood experiences in the development of the disorder, but few studies examine such events in patients with severe health anxiety and the results are difficult to compare across studies. The present study examined adult retrospective reports of illness‐related and traumatic childhood experiences in 31 patients with severe health anxiety, 32 non‐clinical control participants, and a clinical control group of 33 patients with obsessive–compulsive disorder. No evidence of an increased frequency of adverse childhood experiences in patients with severe health anxiety was found. However, patients with severe health anxiety who had experienced the death of a friend or family member or a major upheaval during childhood, perceived these events as having been more traumatic than the control participants. These findings suggest that biases in how adverse childhood experiences are interpreted or remembered might play a role in severe health anxiety. The findings are discussed in relation to the cognitive behavioral model of health anxiety, and some of the processes in interpretation and memory that could explain how adverse childhood experiences might play a role in the development and maintenance of severe health anxiety are outlined.
Introduction to the Special Issue “The 2019 Swiss National Elections”
Authors: Giger Nathalie , Traber Denise , Tresch Anke
Published: July 2022

This Special Issue brings together a large variety of contributions dealing with the influence of issues and issue competition, the structure of attitudes towards immigration and international cooperation and a series of non‐policy factors such as campaign consultants and the rise of female representation in Switzerland. In this introduction we place the contributions in the broader framework of current debates in the international literature and stress the substantial and methodological innovations of the articles. Last, we offer some more general thoughts on almost 30 years of Swiss electoral research taking stock of the historical development.
Ghosts and monsters: Reconstructing nature on the site of the Berlin Wall
Authors: Gandy Matthew
Published: July 2022

In this paper I seek to develop a larger argument from a small place that no longer exists. Since 2004 I regularly visited a wasteland orBrache, located on the site of the former Berlin Wall, before a process of enclosure and erasure that culminated in the construction of luxury apartments. I draw on my engagement with this temporary space, as a source of reverie and also as a site for ecological fieldwork, in order to reflect on the meaning of urban nature under the speculative dynamics of capitalist urbanisation. I consider the intersections between memory, place, and ecology as part of a wider engagement with ‘spectral ecologies’ in the urban realm. I suggest that affective interpretations of urban nature should seek to develop a conceptual dialogue between ethnographic insights and structural analysis of urban environmental change.
Global value chains and female employment: The evidence from Vietnam
Authors: Pham Linh Thuy , Jinjarak Yothin
Published: July 2022

What is the relationship between female employment and global value chains (GVCs) in developing countries? Motivated by the rise of offshoring into Vietnam, we study Vietnam's small and medium enterprises (SMEs) from 2011 to 2015. The empirical findings suggest a positive association between global value chains and the female share of total workforce, unskilled workforce and production workforce; while GVCs are negatively associated with the female share of skilled workforce and non‐production workforce. Intriguingly, the technology of GVC‐involved firms is negatively associated with the female employment share in the sample, suggesting that female employment remains largely in the low value‐added activities of the globally integrated supply chains in Vietnam.
Numerical Study of Material Selection for Optimal Directed Energy Deposition Single Nozzle Powder Efficiency
Authors: Odum Kyle , Soshi Masakazu , Yamazaki Kazuo
Published: July 2022

The efficiency of powder-based directed energy deposition (DED) nozzle is dependent on its ability to direct the pneumatically conveyed powder into the meltpool. Computational fluid dynamics (CFD) with discrete phase modeling (DPM) has been used to investigate the optimization of DED nozzle geometry and DED parameter selection, however, the effect of material choice for nozzle fabrication has not been fully investigated. To explore the effects of the nozzle material on powder efficiency a CFD DPM model was created and analyzed in ansys fluent. Various nozzle materials were simulated using statistical models for the coefficient of restitution (COR) between the powder and nozzle wall from the literature. The results of the CFD DPM model aligned well with experimental data for a 316L stainless steel prototype nozzle. CFD DPM results indicated that using a material with a lower mean COR value improved the powder efficiency of the nozzle. Powder efficiency improved because the component of powder velocity normal to the direction of gas flow was reduced in nozzles made from materials with lower COR values, which in turn led to fewer impacts between the particles and the nozzle walls.
Implementation and sales impact of a capacity building intervention in Australian sporting facility food outlets: a longitudinal observational study
Authors: Blake Miranda R , Romaniuk Helena , Riesenberg Devorah , Boelsen-Robinson Tara , Cameron Adrian J , Orellana Liliana , Peeters Anna
Published: July 2022

Background

Few studies have explored behavioural and financial impacts of retail initiatives after 2 years to address the unhealthy food environments common in local government sporting settings.

Aims

To evaluate the impact of a 2-year local government capacity building intervention in sporting facility food outlets on (1) the healthiness of refrigerated drink choices available and visible to customers, (2) healthiness of refrigerated drinks sold and (3) refrigerated drink revenue.

Methods

52 sporting facilities within 8 local governments from Victoria, Australia, participated in an intervention between March 2018 and February 2020 by limiting ‘red’ (least healthy) drinks to ≤20% of refrigerator display and increasing ‘green’ (healthiest) drinks to ≥50% of display. Mixed models assessed changes in mean percentage of ‘red’, ‘amber’ and ‘green’ drinks displayed over time, compared with baseline.

Facilities provided electronic weekly itemised sales data (December 2015 to February 2020). Weekly volume of ‘red’ or ‘green’ drinks sold as a proportion of total drinks sold, and total refrigerated drinks revenue were compared preimplementation and postimplementation using mixed models (seasonal facilities), and mixed-effect interrupted time series models (non-seasonal facilities).

Results

Display of ‘red’ drinks decreased by mean −17.1 percentage points (pp) (95% CI −23.9 to −10.3) and ‘green’ drinks increased 16.1 pp (95% CI 9.30, 22.9) between baseline and 18-month audits.

At nine seasonal facilities, compared with the summer preimplementation, the mean volume of ‘red’ drinks sold decreased by −19.0 pp (95% CI −28.6, to –9.51) and refrigerated drink revenue decreased by−AU$81.8 (95% CI −AU$123 to –AU$40.8) per week. At 15 non-seasonal facilities, by February 2020, the volume of ‘red’ drinks sold decreased on average by −11.0 pp (95% CI −21.6 to –0.41) with no change in drink revenue.

Conclusion

Reducing the display of unhealthy drinks can be an effective public health policy to improve the healthiness of customer purchases, provided there is consideration of potential impacts on revenue.
Signal-to-noise ratio analysis on saw-tooth vortex generator in vehicle radiators
Authors: Liu Jiaxin , Meng Lingqin , Liu Yadong , Özdemir Enver Doruk , Aksel Mehmet Haluk
Published: July 2022

Fin-and-flat tube heat exchangers are widely applied to construction vehicles due to native advantages. An elementary unit out of such one was numerically compared with the corresponding experimental validation to secure accuracy, then, saw-tooth vortex generators were introduced to the rear of the tube, and further analyzed under the same configuration. JF factors from two models were utilized to confirm the initial expectation for a higher comprehensive performance, which also encouraged the following L18(36) orthogonal test on wing width ( ww), wing height ( sw), blade height ( sb), flow attack angle ( Gf), installation angle ( Gi), and saw-tooth number ( Ns) for signal-to-noise ratio and contribution rate (CR). The results stated that the numerical implementation could be capable of the following analyses with the maximum errors of 5.00% for heat transfer coefficient and 5.33% for pressure loss, and also corroborate performance enhancement with a JF increment of 29.9% in the following comparison. The CRs of Gi, Ns, sw, ww, Gf, and sb are 30.39%, 19.61%, 15.69%, 13.73%, 10.78%, and 9.80%, respectively.
Conformally-rescaled Schwarzschild metrics do not predict flat galaxy rotation curves
Authors: Hobson Michael , Lasenby Anthony
Published: July 2022

For conformally invariant gravity theories defined on Riemannian spacetime and having the Schwarzschild–de-Sitter (SdS) metric as a solution in the Einstein gauge, we consider whether one may conformally rescale this solution to obtain flat rotation curves, such as those observed in galaxies, without the need for dark matter. Contrary to recent claims in the literature, we show that if one works in terms of quantities that can be physically measured, then in any conformal frame the trajectories followed by ‘ordinary’ matter particles are merely the timelike geodesics of the SdS metric, as one might expect. This resolves the apparent frame dependence of physical predictions and unambiguously yields rotation curves with no flat region. We also show that attempts to model rising rotation curves by fitting the coefficient of the quadratic term in the SdS metric individually for each galaxy are precluded, since this coefficient is most naturally interpreted as proportional to a global cosmological constant. We further extend our analysis beyond static, spherically-symmetric systems to show that the invariance of particle dynamics to the choice of conformal frame holds for arbitary metrics, again as expected. Moreover, we show that this conclusion remains valid for conformally invariant gravity theories defined on more general Weyl–Cartan spacetimes, which include Weyl, Riemann–Cartan and Riemannian spacetimes as special cases.
Advances towards the systematization of calculations with Implicit Regularization
Authors: Felippe B. Z. , Scarpelli A. P. Baêta , Vieira A. R. , Felipe J. C. C.
Published: July 2022

There is currently a high demand for theoretical predictions for processes at next-to-next-to-leading order (NNLO) and beyond, mainly due to the large amount of data which has already been collected at LHC. This requires practical methods that meet the physical requirements of the models under study. We develop a new procedure for applying Constrained Implicit Regularization which simplifies the calculation of amplitudes, including finite parts. The algebraic identities to separate the divergent parts free from the external momenta are used after the Feynman parametrization. These algebraic identities establish a set of scale relations which are always the same and do not need to be calculated in each situation. This procedure unifies the calculations in massive and non-massive models in an unique procedure. We establish a systematization of the calculation of one-loop amplitudes and extend the procedure for higher-loop orders.
Static axionlike dark matter clouds around magnetized rotating wormholes–probe limit case
Authors: Kiczek Bartlomiej , Rogatko Marek
Published: July 2022

The problem of the distribution of axionlike particle, being the model of dark matter, in the nearby of rotating wormholes has been investigated numerically. In the model in question the axion scalar is non-trivially coupled to the Maxwell gauge field. We consider two toy models of rotating wormholes embedded in magnetic field, Kerr-like and Teo rotating wormholes. Moreover one assumes that the matter fields will not backreact on the wormhole spacetimes, i.e., we shall study the problem in the probe limit case. We point out the differences in the distribution of dark matter comparing to the location of it in the vicinity of rotating magnetized black holes.
Identifying oil market states based on structure and evolution of the international crude oil trade networks
Authors: Wei Na , Xie Wen-Jie , Zhou Wei-Xing
Published: July 2022

With the growing demand for energy, the importance of oil as a major energy resource is increasingly evident, and trade has become the key to balancing energy supply and demand. We construct the evolving international oil trade network (iOTN) and analyze the structure and evolution characteristics of the network. Meanwhile, we identify different oil market states by applying the sequential clustering method, combined with relevant network indicators. We find an increase in bilateral cooperation among economies in the oil market, closer trade ties and an upward trend in network reciprocity. The iOTN is heterogeneous, and economies with widely differing trade positions are more likely to cooperate. Trade cooperation with significant trade volumes is more irreplaceable and stable. The changes of oil market state in 1990, 2004 and 2014 indicate that major international events significantly impact the structure of energy systems and trade networks. The division of the oil trade market state by sequential clustering can reflect the reality. Our study clarifies the structural attributes of the iOTN, explores the evolution of the oil trade pattern from the network level, and accurately identifies the state changes in the international oil market.
Dynamic mode decomposition for data-driven modeling of free surface sloshing
Authors: Zhao Xielin , Guo Ruiwen , Yu Xiaofei , Huang Qian , Feng Zhipeng , Zhou Jinxiong
Published: July 2022

The recently emerged data-driven dynamic mode decomposition (DMD) method was employed to investigate the free surface sloshing dynamics of a partially filled rigid tank excited by horizontal harmonic motions. The volume of fluid algorithm was adopted for liquid–gas free surface tracking, and DMD was utilized for decomposition with physical interpretations of the DMD modes and the eigenvalues. Our results demonstrate that DMD works well for both data reconstruction and future-state prediction in terms of either free surface profiles or the sloshing pressure exerted on the rigid wall. DMD presents an efficient and versatile approach for accelerated reduced-order modeling and future-state forecasting. Our efforts provide the first reference on use of DMD for free surface sloshing problems to the best knowledge of the authors. We publicly share our data and codes for all the implementation.
Enhancing the fidelity of joint remote state preparation by weak measurement
Authors: Wu Tianxiong , Li Yunxia , Luo Bingbing , Wei Jiahua
Published: July 2022

In this paper, the technique of weak measurement is employed in order to enhance the fidelity of joint remote state preparation (JRSP) protocol under decoherence. We design a quantum circuit of joint remote preparation of a single-qubit state through a GHZ state. Then, we analytically derive the average fidelity of the JRSP protocol under four types of noise usually encountered in real-world implementations of quantum communication protocols, i.e. the phase-flip, depolarizing, amplitude-damping and bit-flip noise. Our study shows that the application of weak measurement and measurement reversal could enhance the average fidelity of the JRSP process under the influence of phase-flip, depolarizing, amplitude-damping noise for most values of the decoherence parameters. If the JRSP process suffers from the bit-flip noise, the weak measurement technique is not useful for increasing the average fidelity.
The Hampole Discontinuity and Hampole Beds (Cadeby Formation, Upper Permian): deposition on the Zechstein English Shelf, South Yorkshire, UK, with data from new exposures
Authors: Ramsdale Rick
Published: July 2022

A review of the exposures in the Cadeby Formation, Upper Permian (Lopingian Series) in South Yorkshire by the Sheffield Area Geology Trust revealed groups of previously undescribed sites near the base of the Sprotborough Member, at, and just above, the Hampole Discontinuity. These sites indicate: a wider degree of palaeoenvironmental variation along the Hampole Discontinuity surface than was previously evident; that the discontinuity surface is not laterally continuous; and imply some caution is needed when using these exposures as marker horizons. The field data is used to inform a palaeoenvironmental reconstruction for the period of the Hampole regression. A complex of near-offshore pools and islands, an area of partly exposed shoal and lagoon, and an embayment are identified.
Adaptive Driving Assistant Model (ADAM) for Advising Drivers of Autonomous Vehicles
Authors: Hsieh Sheng-Jen , Wang Andy R. , Madison Anna , Tossell Chad , de Visser Ewart
Published: July 2022

Fully autonomous driving is on the horizon; vehicles with
advanced driver assistance systems (ADAS)
such as Tesla's Autopilot are already available to consumers. However, all currently available ADAS applications require a human driver to be alert and ready to take control if needed. Partially automated driving introduces new complexities to human interactions with cars and can even increase collision risk. A better understanding of drivers’ trust in automation may help reduce these complexities. Much of the existing research on trust in ADAS has relied on use of surveys and physiological measures to assess trust and has been conducted using driving simulators. There have been relatively few studies that use telemetry data from real automated vehicles to assess trust in ADAS. In addition, although some ADAS technologies provide alerts when, for example, drivers’ hands are not on the steering wheel, these systems are not personalized to individual drivers. Needed are adaptive technologies that can help drivers of autonomous vehicles avoid crashes based on multiple real-time data streams. In this paper, we propose an architecture for adaptive autonomous driving assistance. Two layers of multiple sensory fusion models are developed to provide appropriate voice reminders to increase driving safety based on predicted driving status. Results suggest that human trust in automation can be quantified and predicted with 80% accuracy based on vehicle data, and that adaptive speech-based advice can be provided to drivers with 90 to 95% accuracy. With more data, these models can be used to evaluate trust in driving assistance tools, which can ultimately lead to safer and appropriate use of these features.
Highly Ordered Anodic Porous Alumina Prepared by Anodization of Al in Extremely Dilute H2SO4
Authors: Yanagishita Takashi , Kawato Ryotaro , Masuda Hideki
Published: July 2022

Highly ordered anodic porous alumina with a period of ca. 90–160 nm was prepared by anodization using extremely dilute sulfuric acid. The hole period of anodic porous alumina was controllable in the range of 90–160 nm by changing the anodization voltage. The thickness of the oxide film obtained by the anodization of Al in extremely dilute sulfuric acid was nonuniform. However, we found that the addition of a small amount of phosphoric acid to the electrolyte improved the uniformity of the thickness of the oxide film obtained. The ordered anodic porous alumina obtained in this study is expected to be a starting material for fabricating various functional devices.
Investigation of Tribological and Corrosion Properties of Carbon Nanotube Reinforced Chemically Bonded Phosphate Ceramic Coatings
Authors: Liu Yaxuan , Wang Yongguang , Zhang Yi , Chen Congping , Wu Wangping
Published: July 2022

In this paper, chemically bonded phosphate ceramic coatings (CBPCs) with the addition of carbon nanotubes (CNTs) were prepared on the mild steel (Q235) through sol gel method. The wear and corrosion performance of CBPCs with the addition of CNTs were evaluated by tribological and electrochemical tests combining the analysis of microstructure, phase characterization and curing behavior. Results indicate CNTs nanofiller significantly enhances the wear and corrosion behavior of CBPCs. The enhancement of wear performance for CBPCs with CNTs nanofiller is because CNTs can effectively hinder the dislocation movement through the coating and substrate system and the occurrence of plastic deformation owing to their remarkable mechanical and lubricating properties. The enhancement of corrosion performance for CBPCs with CNTs nanofiller is because that CNTs can help CBPCs to get denser and more compact microstructure, which is contributed to prolong the electrolyte diffusion path. Besides, CNTs exhibit excellent hydrophobicity and can absorb oxygen molecules, which prevents the corrosion process on the anode and cathode sections of coating and substrate system.
Capacitive Properties of Chlorine Doped Graphene Quantum Dots Anchored into Reduced Graphene Oxide
Authors: Lei Yun , Li Can , Du Peng , Wu Yuncui , Luo Linhui , Wang Yongqin , Du Beibei , Wang Shiquan
Published: July 2022

In this study, Cl-GQDs anchored into pure reduced graphene oxide (Cl-GQDs/rGO) hybrid materials were hydrothermally fabricated and characterized by various analyses. Meanwhile, P-GQDs, S-GQDs and N-GQDs were also fabricated and anchored into rGO as controls. The AFM images of Cl-GQDs, P-GQDs, N-GQDs and S-GQDs displayed the average height of 1–3 nm, 1–1.5 nm, 1.5–2.0 nm and 4.0–4.5 nm, respectively. Moreover, the absorbance and fluorescence spectra of Cl-GQDs were different from those of other doped graphene quantum dots. Cyclic voltammetry and galvanostatic charge-discharge curves were employed to analyze the capacitive performances of doped-GQDs/rGO. At the current density of 2 A g−1, the capacitance of Cl-GQDs/rGO achieved 316 F g−1, which was about 3 times, 2 times and 1.5 times as high as that of rGO, S or N-GQDs/rGO and P-GQDs/rGO, respectively. At the power density of 1.1−3.3 KW Kg−1, Cl-GQDs/rGO reached the energy density of 53.2 − 32.1 Wh Kg−1. Electrochemical impedance spectroscopy clearly indicated that Cl-GQDs could improve the conductivity of rGO in the electrochemical reaction, resulting in superior capacitive performances.
KATP channels in lymphatic function
Authors: Davis Michael J. , Kim Hae Jin , Nichols Colin G.
Published: July 2022

KATP channels function as negative regulators of active lymphatic pumping and lymph transport. This review summarizes and critiques the evidence for the expression of specific KATP channel subunits in lymphatic smooth muscle and endothelium, the roles that they play in normal lymphatic function, and their possible involvement in multiple diseases, including metabolic syndrome, lymphedema, and Cantú syndrome. For each of these topics, suggestions are made for directions for future research.
[Retracted] ML‐Based Texture and Wavelet Features Extraction Technique to Predict Gastric Mesothelioma Cancer
Authors: Garg Neeraj , Sinha Divyanshu , Yadav Babita , Gupta Bhoomi , Gupta Sachin , Miah Shahajan
Published: July 2022

Microsatellites are small, repetitive sequences found all across the human genome. Microsatellite instability is the phenomenon of variations in the length of microsatellites induced by the insertion or deletion of repeat units in tumor tissue (MSI). MSI‐type stomach malignancy has distinct genetic phenotypes and clinic pathological characteristics, and the stability of microsatellites influences whether or not patients with gastric mesothelioma react to immunotherapy. As a result, determining MSI status prior to surgery is critical for developing treatment options for individuals with gastric cancer. Traditional MSI detection approaches need immunological histochemistry and genetic analysis, which adds to the expense and makes it difficult to apply to every patient in clinical practice. In this study, to predict the MSI status of gastric cancer patients, researchers used image feature extraction technology and a machine learning algorithm to evaluate high‐resolution histopathology pictures of patients. 279 cases of raw data were obtained from the TCGA database, 442 samples were obtained after preprocessing and upsampling, and 445 quantitative image features, including first‐order statistics of impressions, texture features, and wavelet features, were extracted from the histopathological images of each sample. To filter the characteristics and provide a prediction label (risk score) for MSI status of gastric cancer, Lasso regression was utilized. The predictive label’s classification performance was evaluated using a logistic classification model, which was then coupled with the clinical data of each patient to create a customized nomogram for MSI status prediction using multivariate analysis.
Emotional Intervention and Education System Construction for Rural Children Based on Semantic Analysis
Authors: Zhang Xiaobo
Published: July 2022

Objective. Under the background of the policy of caring for the healthy growth of left-behind children, the purpose of selecting the topic is to study some common negative emotional problems of left-behind children in rural areas, focusing on the guidance of negative emotions of left-behind children in rural areas. In emotional problems, we analyze and find out the reasons for these negative emotions through observation and research. Method. In this paper, a platform for acquiring emotional semantic data of scene images in an open behavioral experimental environment is designed, which breaks the limitations of time and place, and thus acquires a large amount of emotional semantic data of scene images and then uses principal component analysis to evaluate the validity of the data analysis. Psychological testing was used to measure parent-child affinity, adversity beliefs, and positive/negative emotion scales, respectively, to examine children whose parents went out, children whose fathers went out, and non-left-behind children. The characteristics of parent-child affinity, adversity beliefs, and positive/negative emotions in three types of children were examined, and the direct predictive effects of parent-child affinity and adversity beliefs on the positive/negative emotions of the three types of children were examined. Results/Discussion. Adversity beliefs played a partial mediating role between children’s parent-child bonding and positive emotions. The predictive effect of adversity beliefs on children’s emotional adaptation differs by emotional type. The main effects of the left-behind category were significant for both positive and negative emotions. The gender main effect of negative emotion was significant, and the negative emotion level of girls was significantly higher than that of boys. The main effect of the left-behind category of adversity beliefs was significant, and the adversity belief levels of children whose parents went out to rural areas were significantly lower than those of children whose fathers went out and non-left-behind children. The negative emotions generated by left-behind children in rural areas are channeled, and to a certain extent, they are improved and alleviated. Through the emotional counseling and improvement of the rural left-behind children in the research site in the article, the service objects can have better emotions, promote mental health, make them happy and grow up healthily, and also provide a certain theory for the establishment of the local left-behind children care system.
Design of Travel Route Identification and Scheduling System Based on Artificial Intelligence-Aided Image Segmentation
Authors: Hou Tianchen
Published: July 2022

This study designs a travel recognition and scheduling system using artificial intelligence and image segmentation techniques. To address the problem of low division quality of current point division algorithms, this study proposes a streaming graph division model based on a sliding window (GraphWin), which dynamically adjusts the amount of information (vertex degree information and adjacency information) referenced at each division according to the current division quality and division time by introducing a sliding window mechanism, to achieve the highest possible division while allowing loss of certain division efficiency. The goal is to improve the division quality as much as possible while allowing a certain loss of division efficiency. To meet the user’s need to travel through multiple destinations with the shortest route, this thesis proposes a deep reinforcement learning actor-critic (AC)-based multiobjective point path planning algorithm. The algorithm builds a strategy network and an evaluation network based on actor-critic’s multiobjective point path planning, updates the strategy network and evaluation network parameters using AC optimization training, reduces the reliance of the algorithm model on a large amount of high-quality label data, and speeds up the convergence speed of the deep reinforcement learning algorithm by pretraining, finally completing the multiobjective point access sequential path planning task. Finally, the personalized travel recommendation system is designed and implemented, and the system performance analysis is conducted to clarify the system requirements in terms of functional and nonfunctional aspects: the system architecture, system functional modules, and database tables are designed to conduct use case testing of the main functional modules of the system, and the usability of the attraction recommendation algorithm is verified through the concrete implementation of the functional modules such as attraction recommendation in the system.
A DSP-Controlled Permanent Magnet Synchronous Motor Control System for Hybrid Vehicles
Authors: Fu Qiang
Published: July 2022

Compared with other motors, the permanent magnet synchronous motor (PMSM) is small and occupies less space. At the same time, its weight is relatively light, so it is more in line with the development trend of hybrid electric vehicle (EV) drive motor lightweight miniaturization and has been widely used. This article studies a DSP-controlled PMSM control system for hybrid vehicles. Firstly, the motor drive control system is mainly controlled by DSP2812 chip. Then, a maximum torque current ratio control method was proposed to optimize the energy efficiency of hybrid vehicles based on PMSM. The longitudinal dynamic model of the moving hybrid vehicle was obtained by force analysis. Combined with the basic equation of PMSM and the transmission system of the hybrid vehicle, the mathematical model of PMSM-EV was established. The experimental results show that the maximum torque current ratio control method applied to hybrid vehicles can effectively reduce the loss, improve the efficiency and dynamic performance, and solve the endurance problem of hybrid vehicles to a certain extent. This advantage is significant in the dynamic acceleration and deceleration of hybrid vehicles.
Bioinspired Crosslinked Nanocomposites of Polyvinyl Alcohol‐Reinforced Cellulose Nanocrystals Extracted from Rice Straw with Ethanedioic Acid
Authors: Chin Kwok-Mern , Sam Sung Ting , Ong Hui Lin , Wong Yee Shian , Tan Wai Kian , Vannaladsaysy Vilay
Published: July 2022

In this study, cellulose nanocrystals (CNC) were extracted from rice straw and incorporated into polyvinyl alcohol (PVOH) as reinforcement nanofillers. Multiple nanocomposites with different CNC contents were prepared. Extracted CNC appear as long, well‐defined rodlike crystals with a high aspect ratio (41). Nanocomposites with 3 wt% of CNC significantly exhibit improved tensile strength (60.4%) and maximum degradation temperature (287°C). Moreover, they demonstrate a decrease in water vapor permeability rate and in the swelling and solubility indices of PVOH/CNC. Significant improvements were observed when nanocomposites were crosslinked specifically in terms of tensile strength (104.8%) and maximum degradation temperature (364°C). They also demonstrate greatly reduced water vapor permeability rate, swelling, and solubility indices. The optimum CNC amount for both nanocomposites is 3 wt%.
Tenant-Centric Attribute Semantic Access Control Policy Model for the Cloud Service Platform
Authors: Yu Yang , Sun Linfu , Wang Shuhai
Published: July 2022

In the open Internet environment, there is a cross-platform access control problem that when a tenant needs to access the business resources of other collaborative platforms through the cloud service platform, the cloud service platform only supports the tenant to access the business resources within the platform. When tenants need to access business resources through the cloud service platform, the authorization method of the cloud service platform is static and the authorization granularity is coarse-grained, so dynamic fine-grained authorization is not supported. To solve the above problems, based on ABAC, this paper proposes a tenant-centric attribute semantic access control policy model for cloud service platforms. The model and its application framework can automatically evaluate whether it has cloud service platform or cross-platform access control rights according to the change of the tenant’s attributes so as to determine whether it can obtain the corresponding business resources. Through a practical case analysis, we prove that the application of ASACPM and its application framework to the cloud service platform have good flexibility, scalability, and practicability. In addition, we design some experimental scenarios to verify that the performance of ASACPM and its application framework meet our expectations and have good reliability, validity, and rationality.
Spatial and Temporal Evolution of Urban Green Space Pattern Based on GIS Sensors and Remote Sensing Information: Taking Xi’an as an Example
Authors: Li Wei , Wang Hui , Zhang Shaowei , Jiang Bingshen , Lee Shi-Young
Published: July 2022

In order to solve the practical application of the continuously developing remote sensing technology in urban planning, this paper proposes a method of temporal and spatial evolution of urban green spatial pattern based on GIS remote sensing information. Based on the Landsat Image data of the main urban area of Xi’an from 2000 to 2012, different classification methods are used to extract the urban green space information and compare the accuracy. The classification results with high accuracy are selected to analyze the temporal and spatial evolution law of urban green space and the change of landscape pattern in the study area. In this paper, the change of vegetation coverage can be divided into five levels: significant degradation: <-0.006; slight degradation: -0.006~-0.002; stable: -0.002~0.002; slight improvement: 0.002~0.006; and significant improvement: >0.006. The results of this paper prove that this method can be used to understand and evaluate the ecological consequences of urbanization and improve our quality of life. At the same time, it can provide basic information for decision-making.
The Relationship between the Activity Balance Confidence and Mobility Tests among Older Adults in Indonesia
Authors: Susilowati Indri Hapsari , Sabarinah Sabarinah , Nugraha Susiana , Alimoeso Sudibyo , Hasiholan Bonardo Prayogo , Pengpid Supa , Peltzer Karl
Published: July 2022

Introduction. Unsteady gait, instability, and lower extremity muscle weakness are some of the risk factors for falls. Reduced balance is a further precursor of falls, and injuries adversely affect the instability. In doing an activity without losing their balance, confidence among older adults is also crucial because it will influence their mobility. Objectives. The objective of this study is to examine the association between activity balance confidence and functional mobility, including gait, balance, and strength, among older adults. Methods. A cross-sectional study was conducted among older adults living in long-term care facilities and community dwellings. A total of 326 older adults (>60 years old) participated in this study from three provinces in Java Island, Indonesia. The inclusion criteria were older adults living independently and without obstacles in communication, who have no hearing loss, and who agreed to be respondents. The activity-specific balance confidence (ABC) scale determines the level of confidence. The participants were asked about their balance confidence not to lose their balance while doing 16 activities. The dependent variable is the mobility test, including a gait test using TUG (times up and go) to see how the subjects stand, walk, and turn around; a balance test (four stages); and a strength test (30-second chair stand). Results. The results of the ABC scale showed the respondents felt the most confidence not to lose their balance when they walk around the house (82.01%) and the less confidence when they stepped onto or off an escalator while holding onto a railing (37.7%). The gait, balance, and strength test revealed that 51.2% of the respondents showed an unsteady gait, 63.8% showed instability that felt awkward and unusual when standing on one leg, and 60.1% of the participants showed muscle weakness. The bivariate analysis significantly correlated the ABC scale test and all mobility tests. The older adult participants who are not confident will have 12.03 times higher the unstable result of the gait test, 8.4 times higher the unstable result of the balance test, and 7.47 times higher the less strength result of the strength test who are confident. Conclusion. Older adults who lack balance confidence showed significantly poorer results in mobility tests.
Application of Sensor and Fuzzy Clustering Algorithm in Hybrid Recommender System
Authors: Xu Zihang , Zhu Jiawei
Published: July 2022

In order to solve the problem of topic drift and topic enlargement in hybrid recommendation system, a possibility

C

clustering algorithm based on fuzzy clustering, namely, IPCM (improved possible clustering method) algorithm, is proposed. This method improves the initial value sensitivity of PCM algorithm and introduces the user interest model into the initial matrix, so that the results obtained by the convergence of IPCM algorithm are closer to the recommended topics required by users. The recommended technology algorithm is also fused by learning from each other to form a fusion recommendation algorithm. The fusion recommendation algorithm and IPCM algorithm are applied to the result sorting, and the accuracy of the applied results is compared with that of the traditional PageRank algorithm, so as to judge the accuracy of the algorithm. The feasibility and superiority of the algorithm are verified by experiments. The experimental results show that IPCM algorithm can speed up the search for useful information and reduce the search time. Moreover, when the query range is reduced, the accuracy of the algorithm is higher than that of the traditional algorithm, which can be improved by 10% ~30%. Conclusion. This method can effectively make up for the problems of topic drift and topic enlargement in the recommendation system, with faster speed and higher accuracy.
Tex264 Binding to SNX27 Regulates Itgα5 Receptor Membrane Recycling and Affects Cell Migration
Authors: Xu Xiao-hui , Yang Qian-wen , Yue Chang-ling , Zhu Yun-yi , Zhang Zhao-huan
Published: July 2022

Tex264 is an endoplasmic reticulum (ER) membrane protein that was recently demonstrated to act as an ER‐phagy receptor under starvation conditions to mediate endoplasmic reticulum autophagy. However, how Tex264 functions in the central nervous system (CNS) and tumors is unclear. Here, we identified 89 proteins from the rat brain that may specifically interact with Tex264 and confirmed the interaction between sorting nexin 27 (SNX27) and Tex264 by coimmunoprecipitation and immunofluorescence. Our results indicated that Tex264 may promote recycling of membrane proteins from endosomes to the cell plasma membrane by recruiting SNX27 retromer vesicles. siRNA‐mediated knockdown of TEX264 in HeLa cells did not affect cell proliferation but did significantly inhibit cell migration through a mechanism that may involve a reduction in SNX27‐mediated Itgα5 receptor membrane recycling. Results of this study helped identify potential binding Tex264 partners and provide insights into Tex264 functions in the CNS and in tumors.
Abnormal-Aware Multiperson Evaluation System with Improved Fuzzy Weighting
Authors: Ni Shutong
Published: July 2022

There exists a phenomenon that subjectivity highly lies in the daily evaluation process. Our research primarily concentrates on a multiperson evaluation system with anomaly detection to minimize the possible inaccuracy that subjective assessment brings. We choose the two-stage screening method, which consists of rough screening and score-weighted Kendall-τ distance to winnow out abnormal data, coupled with hypothesis testing to narrow global discrepancy. Then we use fuzzy synthetic evaluation method (FSE) to determine the significance of scores given by reviewers as well as their reliability, culminating in a more impartial weight for each reviewer in the final conclusion. The results demonstrate a clear and comprehensive ranking instead of unilateral scores, and we get to have an efficiency in filtering out abnormal data as well as a reasonably objective weight determination mechanism. We can sense that through our study, people will have a chance of modifying a multiperson evaluation system to attain both equity and a relatively superior competitive atmosphere. A preprint has previously been published (Ni, 2022).
[Retracted] A Modified Deep Learning Framework for Arrhythmia Disease Analysis in Medical Imaging Using Electrocardiogram Signal
Authors: Anbarasi A. , Ravi T. , Manjula V. S. , Brindha J. , Saranya S. , Ramkumar G. , Rathi R.
Published: July 2022

Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people’s lives. These arrhythmias can lead to potentially deadly consequences, putting your life in jeopardy. As a result, arrhythmia identification and classification are an important aspect of cardiac diagnostics. An electrocardiogram (ECG), a recording collecting the heart’s pumping activity, is regarded the guideline for catching these abnormal episodes. Nevertheless, because the ECG contains so much data, extracting the crucial data from imagery evaluation becomes extremely difficult. As a result, it is vital to create an effective system for analyzing ECG’s massive amount of data. The ECG image from ECG signal is processed by some image processing techniques. To optimize the identification and categorization process, this research presents a hybrid deep learning‐based technique. This paper contributes in two ways. Automating noise reduction and extraction of features, 1D ECG data are first converted into 2D pictures. Then, based on experimental evidence, a hybrid model called CNNLSTM is presented, which combines CNN and LSTM models. We conducted a comprehensive research using the broadly used MIT_BIH arrhythmia dataset to assess the efficacy of the proposed CNN‐LSTM technique. The results reveal that the proposed method has a 99.10 percent accuracy rate. Furthermore, the proposed model has an average sensitivity of 98.35 percent and a specificity of 98.38 percent. These outcomes are superior to those produced using other procedures, and they will significantly reduce the amount of involvement necessary by physicians.
Chinese Herbal Medicine as an Adjunctive Therapy Improves the Survival Rate of Patients with Ischemic Heart Disease: A Nationwide Population-Based Cohort Study
Authors: Hung I.-Ling , Chung Chia-Jung , Hu Wen-Long , Liao Yen-Nung , Hsu Chung-Y. , Chiang Jen-Huai , Hung Yu-Chiang
Published: July 2022

Background. Ischemic heart disease (IHD) related to cardiovascular or cerebrovascular disease is the leading cause of mortality and an important issue of public health worldwide. The cost of long-term healthcare for IHD patients may result in a huge financial burden. Objectives. To analyze the medical expenditure incurred for and survival of IHD patients treated with Chinese herbal medicine (CHM) and Western medicine. Methods. Subjects were randomly selected from the National Health Insurance Research Database in Taiwan. The Cox proportional hazards regression model, Kaplan–Meier estimator, logrank test, chi-square test, and analysis of variance were applied. Landmark analysis was used to assess the cumulative incidence of death in IHD patients. Results. We identified 11,527 users of CHM combined with Western medicine and 11,527 non-CHM users. CHM users incurred a higher medical expenditure for outpatient care within 1 (24,529 NTD versus 18,464 NTD,

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value <0.0001) and 5 years (95,345 NTD versus 60,367 NTD,

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value <0.0001). However, CHM users had shorter hospitalizations and lower inpatient medical expenditure (7 days/43,394 NTD in 1 year; 11 days/83,141 NTD in 5 years) than non-CHM users (11 days/72,939 NTD in 1 year; 14 days/107,436 NTD in 5 years). The CHM group’s adjusted hazard ratio for mortality was 0.41 lower than that of the non-CHM group by Cox proportional hazard models with time-dependent exposure covariates. Danshen, Huang qi, Niu xi, Da huang, and Fu zi were the most commonly prescribed Chinese single herbs; Zhi-Gan-Cao-Tang, Xue-Fu-Zhu-Yu-Tang, Tian-Wang-Bu-Xin-Dan, Sheng-Mai-San, and Yang-Xin-Tang were the five most frequently prescribed herbal formulas in Taiwan. Conclusions. Combining Chinese and Western medicine can reduce hospital expenditure and improve survival for IHD patients.