Analysis Of Asymmetry Research Articles

학생만족도에 대한 교육품질 속성의 비대칭·비선형 영향 연구

The purpose of this study is to identify which attributes to strengthen and which attributes to improve to improve student satisfaction through asymmetric and non-linear analysis of educational quality attributes. In order to achieve the purpose of this study, an asymmetry analysis was performed on the attributes that affect student satisfaction. For this, PRCA analysis and AIPA(asymmetric impact-performance analysis) were used, and a matrix between IA and attributes was constructed and presented to further suggest strategic directions. Through this analysis, the influence of educational attributes affecting student satisfaction was identified. The analysis results of this study are as follows. First, as a result of PRCA analysis, the major curriculum was classified as a one-dimensional factor, the liberal arts curriculum, non-curricular programs and administrative services were classified as attractive factors, and professor counseling, information system service, and this class were classified as must-be factors. Second, IA and attribute matrix analysis results show that non-curricular programs, liberal arts curriculum, and administrative services are areas for improvement through aggressive investment, and information system, professor counseling, and this class are classified as areas that must be improved first. and the major area was analyzed as an important area as a factor that should further strengthen investment. Lastly, the implication of this study is to provide the priority of allocation of educational resources through the application of AIPA to educational attributes and to classify the attributes that need to be improved first within the educational attribute factors. This will help to efficiently utilize resources and improve student satisfaction.

Analysis of asymmetries in the nexus between bioenergy and ecological footprint: Evidence from European economies

Renewable energy has grown in popularity since it is cheaper and more efficient than typical energy sources. The study evaluates the asymmetries in the nexus between bioenergy consumption and ecological footprint in the top-10 bioenergy-consuming European nations (Germany, France, Austria, Spain, UK, Sweden, Portugal, Italy, Finland, and Poland) utilizing the data for the years 1991–2019. Most past studies rely on panel data methodologies to provide results on the bioenergy-environmental quality nexus, neglecting that certain countries have no evidence of this type of relation separately. On the contrary, the current research employs a unique method “Quantile-on-Quantile”, which can explore the time-series dependency for each economy independently to provide worldwide yet nation-specific insights about the relationship between the variables. The results analyze how the quantiles of bioenergy consumption influence the quantiles of ecological footprint asymmetrically by giving an adequate foundation for understanding the overall interdependent structure. Bioenergy consumption considerably minimizes the ecological footprint at different quantiles in most of our selected economies. However, the degree of asymmetry in the variables differs by nation, needing extra care and government scrutiny when formulating bioenergy and environmental sustainability regulations.

Oil rents, economic growth, and CO2 emissions in 13 OPEC member economies: Asymmetry analyses

Oil rents significantly contribute to income in OPEC member economies and could have environmental consequences. The present study explores the asymmetrical effects of oil rents on CO2 emissions in 13 current OPEC economies using a period 1970–2019, and also tests the Environmental Kuznets Curve (EKC) hypothesis. Long-run results show that economic growth has a positive effect, and its square term has a negative effect on CO2 emissions in Algeria, Congo, Gabon, Kuwait, and Saudi Arabia, which validate the EKC in these countries. However, a U-shaped effect of income growth on emissions is substantiated in Angola. Moreover, rising oil rents have positive effects on CO2 emissions in Saudi Arabia, Angola, Congo, Equatorial Guinea, Iran, Iraq, Kuwait, and Libya, and have negative impacts in Algeria, Nigeria, and the UAE. Decreasing oil rents reduce CO2 emissions in Angola, Equatorial Guinea, Libya, and Saudi Arabia, and increase emissions in Algeria. Moreover, asymmetrical effects of oil rents on emissions are found in Angola, Congo, Iran, Iraq, Kuwait, Nigeria, Equatorial Guinea, Saudi Arabia, and the UAE. The short-run results show that the EKC is validated in Algeria, Congo, and Libya. However, economic growth shows a monotonic positive impact on emissions in Nigeria, the UAE, and Venezuela. Increasing oil rents show a positive impact on emissions in Angola, Congo, Iran, and Kuwait and carry a negative impact in Algeria and the UAE. In addition, decreasing oil rents increase CO2 emissions in Algeria, Gabon, Nigeria, and Saudi Arabia. We recommend Angola, Congo, Equatorial Guinea, Iran, Iraq, Kuwait, Libya, and Saudi Arabia to adopt tight environmental policies in times of increasing oil rents to avoid the negative environmental consequences of oil rents.

Development of AI classification model for angiosome-wise interpretive substantiation of plantar feet thermal asymmetry in type 2 diabetic subjects using infrared thermograms

Diabetic Foot Syndrome (DFS) is the prime impetus for most of the lower extremity complications among the diabetic subjects. DFS is characterized by aberrant variations in plantar foot temperature distribution while healthy subjects exhibit a symmetric thermal pattern between the contralateral and ipsilateral plantar feet. Thus, “asymmetry analysis” of foot thermal distribution is contributory in assessment of overall foot health of diabetic subjects. The study, aims to classify symmetric and asymmetric foot regions angiosome-wise, by comparing minimal number of color image features - color moments and Dissimilarity Index. Further, the asymmetric foot regions are assessed for identifying the hotspots within such angiosomes of the patients that characterize the possibility of onset of diabetic foot ulcer. The color feature based machine learning model developed, achieved an accuracy of 98% for a 10-fold cross validation, test accuracy of 96.07% and 0.96 F1-score thereby convincing that the chosen features are amplest and conducive in the asymmetry analysis. The developed model was validated for generalization by testing on a public benchmark dataset, in which the model achieved 92.5% accuracy and 0.91 F1 score.

Analysis of ethnic origin asymmetries in uniparental lineages in Argentinian population

With the aim to study Argentinian ethnic structure and its miscegenation, we analyzed the mitochondrial DNA (mtDNA) and Y-chromosome Short Tandem Repeats (Y-STR) of 1580 blood samples from male donors. Our results showed that the population has a greater presence of Native American lineages on the maternal side (68.73 %) regarding the paternal line (4.18 %), alongside a majority of Eurasian origins in the paternal line (92.47 %). From the independence analysis, a significant difference was observed when compared with that expected by random crossings. The results are in agreement with a model where the miscegenation of native women with European men prevails, which has been widely observed in Argentine’s migratory currents and population history.

Publisher's Note: “Analysis of core asymmetries in inertial confinement fusion implosions using three-dimensional hot-spot reconstruction” [Phys. Plasmas 29, 082705 (2022)

Publisher's Note: “Analysis of core asymmetries in inertial confinement fusion implosions using three-dimensional hot-spot reconstruction” [Phys. Plasmas <b>29</b>, 082705 (2022)

Car Purchase Intention Modeling in the Context of COVID-19: An Integrated Analysis of Impact Range and Impact Asymmetry

The car purchase intention of noncar owners is closely related to the growth of car ownership and may be changed in the context of COVID-19. This paper aims to investigate the decision-making mechanism of the car purchase intention before COVID-19 and the change of car purchase intention after COVID-19. The contributions of influencing factors are derived from the gradient boosting decision tree model and the asymmetric effects of attitudinal factors are further analyzed based on the three-factor theory. The comprehensive importance hierarchies of the two dependent variables are constructed through the integrated analysis of impact range and impact asymmetry. The results show that people who were previously more willing to buy cars are more likely to increase their willingness to buy after COVID-19. The pre–COVID-19 car purchase intention is primarily determined by shared mobility-related attitudes, while attitudes toward private car use have a greater impact on the post–COVID-19 intention change. These two attitudes are mainly manifested as intention relievers and discouragers before COVID-19, but they are more likely transformed into intention strengtheners and encouragers after COVID-19. The availability of shared mobility has the maximum comprehensive importance to the post–COVID-19 intention change. Therefore, maintaining and promoting the ridership of shared mobility will be the most important prerequisite for alleviating the car purchase intention after COVID-19 pandemic.

In vivo pH mapping with omega plot-based quantitative chemical exchange saturation transfer MRI.

Chemical exchange saturation transfer (CEST) MRI is promising for detecting dilute metabolites and microenvironment properties, which has been increasingly adopted in imaging disorders such as acute stroke and cancer. However, in vivo CEST MRI quantification remains challenging because routine asymmetry analysis (MTRasym ) or Lorentzian decoupling measures a combined effect of the labile proton concentration and its exchange rate. Therefore, our study aimed to quantify amide proton concentration and exchange rate independently in a cardiac arrest-induced global ischemia rat model. The amide proton CEST (APT) effect was decoupled from tissue water, macromolecular magnetization transfer, nuclear Overhauser enhancement, guanidinium, and amine protons using the image downsampling expedited adaptive least-squares (IDEAL) fitting algorithm on Z-spectra obtained under multiple RF saturation power levels, before and after global ischemia. Omega plot analysis was applied to determine amide proton concentration and exchange rate simultaneously. Global ischemia induces a significant APT signal drop from intact tissue. Using the modified omega plot analysis, we found that the amide proton exchange rate decreased from 29.6 ± 5.6 to 12.1 ± 1.3s-1 (P < 0.001), whereas the amide proton concentration showed little change (0.241 ± 0.035% vs. 0.202 ± 0.034%, P=0.074) following global ischemia. Our study determined the labile proton concentration and exchange rate underlying the in vivo APT MRI. The significant change in the exchange rate, but not the concentration of amide proton demonstrated that the pH effect dominates the APT contrast during tissue ischemia.

Philosophy and the clinic: Stigma, respect and shame.

Since its foundation in 2010, the annual philosophy thematic edition of this journal has been a forum for authors from a wide range of disciplines and backgrounds, enabling contributors to raise questions of an urgent and fundamental nature regarding the most pressing problems facing the delivery and organization of healthcare. Authors have successfully exposed and challenged underlying assumptions that framed professional and policy discourse in diverse areas, generating productive and insightful dialogue regarding the relationship between evidence, value, clinical research and practice. These lively debates continue in this thematic edition, which includes a special section on stigma, shame and respect in healthcare. Authors address the problems with identifying and overcoming stigma in the clinic, interactional, structural and phenomenological accounts of stigma and the 'stigma-shame nexus'. Papers examine the lived experience of discreditation, discrimination and degradation in a range of contexts, from the labour room to mental healthcare and the treatment of 'deviancy' and 'looked-after children'. Authors raise challenging questions about the development of our uses of language in the context of care, and the relationship between stigma, disrespect and important analyses of power asymmetry and epistemic injustice. The relationship between respect, autonomy and personhood is explored with reference to contributions from an important conference series, which includes analyses of shame in the context of medically unexplained illness, humour, humiliation and obstetric violence.

Using the anterior cranial base to provide a reliable reference plane for patients with or without facial asymmetry

This study aimed to investigate the midsagittal reference plane (MSP) reliability derived from the 3-dimensional characteristics of patients with or without facial asymmetry in the anterior cranial base (ACB). We divided the cone-beam computed tomography (CBCT) images of 60 adult patients into maxillofacial symmetry and asymmetry groups. The ACB models were 3-dimensionally constructed, and then symmetrical characteristics were evaluated with surface asymmetry for each group. The reliability of the MSP derived from the symmetry of the anterior cranial base (MSPACB) was assessed in comparison with the true craniofacial symmetry plane determined using the morphometric method. The ACB was symmetrical, as demonstrated by slight surface asymmetry. The MSPACB was reliable for maxillofacial asymmetrical analysis as the intraobserver and interobserver measurements using the MSPACB were of excellent agreement, and there was no significant difference between MSPACB and morphometric method in asymmetrical measurements in both groups. The MSPACB remained stable (maximum deviation<0.32 mm) when cranial landmark identification errors (1 mm and 4 mm) were simulated. MSPACB is reliable for patients with or without facial asymmetry in maxillofacial asymmetry analysis, which is beneficial to patients with severe midfacial asymmetry or trauma when conventional landmarks are displaced or disappear. When using MSPACB for patients with cranial malformations or those whose ACBs differ from normal dimensions, caution should be taken.

Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets.

We examine the static and time-varying herding behavior in three cryptocurrency classes: ‘conventional’ cryptocurrencies, non-fungible tokens, and DeFi assets during the most recent cryptocurrency bubble of 2021. While static herding analysis failed to demonstrate any evidence of herding, the time-varying herding has been identified in conventional cryptocurrencies and DeFi assets for the short investment horizons. The herding asymmetry analysis reveals that herding is not evident in conventional cryptocurrencies and NFT during up/down market, high/low volatility days, and high/low trading days. We only find herding in DeFi assets during the low volatility days.

Service Quality Assessments of Cultural Heritage Sites by Residents and Tourists: Application of Four Complementary IPA Techniques

ABSTRACT Despite growing calls to include important stakeholder groups in order to ensure the sustainable management and marketing of tourism, there has been little concurrent research on residents and tourists’ perceptions of cultural heritage sites. This study aims to compare tourists’ and residents’ perceptions for tourism attributes in Shandiz, one of northeastern Iran’s most popular tourist destinations. Our study isbased on four different approaches: Importance-Satisfaction Analysis [ISA] (itself a revised version of IPA); service quality gap analysis; Impact Range Satisfaction Analysis (IRSA); and Impact Asymmetry Analysis (IAA). Due to asymmetrical relationships between visitor perceptions of importance and performance, revealing influencing factors on those perceptions requires using new approaches. This study’s findings provide insights into the current debate around the best methods for service quality assessment and the identification and reconciliation of areas of agreement and disagreement between resident and tourist perceptions of cultural heritage sites.

Temperature Asymmetry Analysis between Left and Right Wrist with Sensory and Infrared Thermography.

This article reports a thermal analysis of the wrists to analyze the behavior and recovery of skin temperature after 20 min when performing a highly repetitive movement, and two thermography methods (sensory and infrared) and research groups were compared. The tests were carried out with 44 participants who performed a repetitive task for 10 min and integrated into two groups, of which 22 were trained workers from a maquiladora company and were analyzed with sensory thermography, and the other 22 were in the laboratory with infrared thermography with undergraduate students. The study area is the left and right hand, specifically the wrists. The proposed hypothesis is that people with some musculoskeletal problems have a decrease in temperature when starting repetitive tasks and thermal asymmetries, which measurements were recorded at 0, 10, 15, and 20 min after the task was finished. Findings indicate that the temperatures in both wrists behave similarly. The workers reached higher temperatures, and the centigrade degrees of asymmetry difference were also higher. The variable with influence on the temperature was fractured in the arm. After thermally analyzing the temperature behavior between the wrists of both hands, it is concluded that there is an increase in temperature after finishing a repetitive task, and it does not stabilize after 20 min. Both thermography methods observed that the asymmetries are greater than 0.5 °C, detecting the possible pathology of carpal tunnel syndrome.

Self-generated Floquet modulation in a multiharmonic-dressed alignment-based magnetic-resonance system

Quantum systems with multiharmonic dressing have been extensively investigated and exhibited various novel phenomena and technologies by virtue of their robust electromagnetic response. Here we mainly investigate the self-generated longitudinal Floquet modulation phenomenon of an alignment-based magnetic-resonance system with pump-probe structure dressed by two different transverse radio-frequency (rf) fields in a warm atomic cesium ensemble, both theoretically and experimentally. The self-generated Floquet modulation includes first and second harmonics, which are contributed to by linear and nonlinear processes from the weak-dressed field, respectively. The self-generated Floquet modulation dresses the alignment absorption spectra into two continua. The asymmetry of each dressed continuum is due to the generalized parity symmetry of the system being broken by the second harmonic modulation. Moreover, the nonlinear modification effect of the weak rf field on the probe verifies the existence of the four-wave mixing process in the rf band. The analytical expression, establishment process, and asymmetry analysis of the continua are given concisely. Our results can be applied to the fields of precision magnetic-field measurement, quantum control, quantum simulation, and so on. In addition, because the physical mechanism is universal, it can be applied not only to an atomic ensemble, but also to solid-state devices.

Updated QCD global analysis of single transverse-spin asymmetries: Extracting H˜ , and the role of the Soffer bound and lattice QCD

We present an update to the QCD global analysis of single transverse-spin asymmetries presented in [J. Cammarota et al. (Jefferson Lab Angular Momentum Collaboration), Phys. Rev. D 102, 054002 (2020).] (JAM3D-20). JAM3D-20 simultaneously included transverse momentum dependent and collinear twist-3 observables, both of which are sensitive to quark-gluon-quark correlations in hadrons. In this study we extract for the first time the twist-3 chiral odd fragmentation function $\stackrel{\texttildelow{}}{H}$ by incorporating the $\mathrm{sin}{\ensuremath{\phi}}_{s}$ modulation data from semi-inclusive deep-inelastic scattering along with its contribution to the single transverse-spin asymmetry in pion production from proton-proton collisions. We also explore the impact of lattice QCD tensor charge calculations and the Soffer bound on our global analysis. We find that both constraints can be accommodated within our results, with $\stackrel{\texttildelow{}}{H}$ playing a key role in maintaining agreement with the data from proton-proton collisions.

Asymmetry analysis of rolling contact for the heavy load radial tyre

A flexible carcass ring model with a two-dimensional elastic foundation that combined a flexible carcass ring and a two-dimensional spring element was used to analyze the contact boundary of heavy load radial tyres with a large section ratio. A complete tyre model based on the flexible ring was established and the contact features were studied by solving the theoretical boundary for its contact and non-contact zones. The contact stiffness and imprint were validated in rolling and stiffness experiments. The scope for contact estimation was examined by using an in-tyre strain sensor and the influence of the axle load, inflation pressure and rolling speed on the asymmetry of the contact imprint was analyzed. The experimental and theoretical results show that the contact front/rear angle and contact imprint can be estimated exactly by computing the contact boundary. In-tyre strain signals can be further used to estimate the length of the contact imprint. This research can be used to enrich existing simplified physical tyre models.

Analysis of the Volumetric Asymmetry of the Mandibular Condyles Using CBCT

ObjectivesThe aim of this study was to analyse volumetric asymmetries between the right and left condyles in relation to age, gender, and dental status. Materials and methodsA retrospective analysis of 150 cone beam computed tomography (CBCT) scans was conducted. A single investigator performed the volumetric analysis of the CBCT scans using Vesalius 3D software. The volumetric data were analysed in relation to the gender, age, and dental status. ResultsThe mean right condylar volume was significantly higher (P < .01) than the left condylar volume. Right and left condylar volumes were significantly higher (P < .01) in male study participants when compared to female study participants. There was no significant difference (P = .47) in the volumetric asymmetry between the male and female study participants. The volumetric asymmetry was significantly higher (P < .01) in the older age groups when compared to the younger age groups. The volumetric asymmetry was significantly higher (P < .01) in the partially and completely edentulous patients when compared to the dentate study participants. The condylar volume on the side having a partially edentulous area was significantly lower than the condylar volume of the contralateral dentate side (P < .001). ConclusionsThe volumetric asymmetry between the right and left condyle significantly increases with age and edentulousness. The result of the study encourages the clinicians to perform volumetric evaluation of the condyles in cases of radiographically evident condylar asymmetries to obtain a more accurate diagnosis.

Analysis of core asymmetries in inertial confinement fusion implosions using three-dimensional hot-spot reconstruction

Three-dimensional effects play a crucial role during the hot-spot formation in inertial confinement fusion (ICF) implosions. A data analysis technique for 3D hot-spot reconstruction from experimental observables has been developed to characterize the effects of low modes on 3D hot-spot formations. In nuclear measurements, the effective flow direction, governed by the maximum eigenvalue in the velocity variance of apparent ion temperatures, has been found to agree with the measured hot-spot flows for implosions dominated by mode ℓ=1. Asymmetries in areal-density (ρR) measurements were found to be characterized by a unique cosine variation along the hot-spot flow axis. In x-ray images, a 3D hot-spot x-ray emission tomography method was developed to reconstruct the 3D hot-spot plasma emissivity using a generalized spherical-harmonic Gaussian function. The gradient-descent algorithm was used to optimize the mapping between the projections from the 3D hot-spot emission model and the measured x-ray images along multiple views. This work establishes a platform to analyze 3D low-mode core asymmetries in ICF.

Identification of Internal Electromagnetic Defects of Implicit-Pole Synchronous Generators Based on the Information of its External Magnetic

The objectives of the work are to develop a non-contact method of detecting internal electromagnetic defects in synchronous generators based on the analysis of asymmetry of the external magnetic field distribution resulting from damage, establishing the relationship of defects of a generator with the pattern of field distribution, identifying diagnostic signs for the defects. These objectives are achieved by developing and using three-dimensional finite-element models of the external magnetic field of synchronous generators, by studying and analyzing the results of numerical simulation of external magnetic fields, by comparing the simulation results with experimental data. Significant results of the work include the improvement of the non-contact method for detecting internal electromagnetic defects in synchronous generators, revealing how defects of the generator manifest themselves in the asymmetry of magnetic field distribution, and detecting the correlation of field asymmetry with the type and severity of defects. For implicit-pole synchronous generators, it is reasonable to use the field asymmetry coefficient determined by the shift in the magnetic field distribution caused by field coils damage. The sign of the coefficient indicates the pole with a damaged field coil. The value of the coefficient characterizes the severity of damage to the field coils, with a critical value of 0.1. The significance of the results lies in the possibility of timely and non-contact diagnostics of internal electromagnetic defects of implicitpole synchronous generators, which can significantly reduce the economic damage from failures of generators without installation of diagnostic sensors of damage inside the generators.

Customizing the promotion strategies of integrated air-bus service based on passenger satisfaction

The integrated air-bus service expands the catchment area and alleviates congestion of regional airports. To gain further insights into the unexplored potential attributes of the integrated service that generate passenger satisfaction, this paper utilizes a two-stage analysis approach to identify the key promotion factors for passengers from different constituents. Based on the survey data collected in Nanjing Lukou International Airport, this paper 1) uses k-means clustering to categorize respondents into four groups. 2) Combines the gradient boosting decision tree and impact asymmetry analysis to identify the attributes that have nonlinear influences on the overall service satisfaction for each group respectively. Results suggest that the timetable of the airport bus is critical for all passenger groups. Interestingly, there are noticeable differences in passenger satisfaction with the accessibility, cost affordability, comfort, reliability, and integration of the integrated service, providing the basis for customizing service promotion strategies among different passenger groups and airports.