Simple Correspondence Research Articles

Diagnostic Features of Childhood Apraxia of Speech: A Survey Study of Estonian, Finnish, and Lithuanian Speech-Language Pathologists.

The primary aim of this study was to investigate how speech-language pathologists (SLPs) from Estonia, Finland, and Lithuania rate the significance of different features for diagnosing childhood apraxia of speech (CAS) in their languages. An online survey was conducted among 197 Estonian, Finnish, and Lithuanian SLPs who have worked with children with CAS. The SLPs were asked to rate the significance of 63 features for CAS diagnosis in their respective language. Cross-linguistic patterns in diagnostic features were examined with simple correspondence analysis (SCA) and via descriptive statistics. The ratings revealed six to seven diagnostic features that were considered very significant for CAS diagnosis by the majority of respondents in each country. The SCA highlighted differences between Lithuanian SLPs and Estonian and Finnish SLPs. Some possible language-specific associations were noted, such as palatalization errors for Lithuanian and Estonian and diphthong distortions for Estonian. The respondents from all countries rated highly those features that can easily be applied to most languages (e.g., groping) and gave lower ratings to features that may be influenced by the linguistic structure of different languages (e.g., word stress errors). Overall, SLPs provided high ratings to CAS features that occur universally across languages, whereas features specific to languages, such as prosody-related errors, were not as highly rated. Several language-specific features were highlighted, providing direction for future research and emphasizing the importance of language-specific considerations in CAS research and diagnosis.

A unified LOD model for river network and DEM based on an improved 3D_DP algorithm

The level of detail (LOD) modelling of vector and terrain data is individual, resulting in geometric and topological inconsistencies in simplification processes. The three dimension Douglas Peucker (3D_DP)algorithm can realize gradual discrete point selection through threshold, which is mainly used in DEM synthesis, and its simplified process is very suitable for the dynamic establishment of massive data sets. A new LOD modeling method based on 3D_DP algorithm is proposed to simplify the consistency of river network vector elements and DEM in this paper. The specific steps are as follows: Firstly, the “Bending Adjustment Index (BAI)” is introduced to improve the 3D_DP algorithm, called the improved 3D_DP algorithm; Secondly, the DEM data is extracted into a 3D discrete point dataset, and the river line vector data is also converted into a discrete point dataset, assigned with elevation attributes, and merges with the DEM’s 3D discrete points. The merged point datasets are equenced based on the importance of each point, which are computed by the improved 3D_DP algorithm. The order of deleting points is determined by the sequence and the corresponding model spatial errors are calculated with the deletion of points. Then, the DEM’s 3D discrete points are constructed a Delaunay network with the river line as a mandatory constraint condition. The required triangulation is called in real time with the change of sight distance depending on the simple correspondence between screen projection error and model space error, and the unified LOD model for river line vector and DEM is established. The results show that the river’s overall shape and the terrain’s main features can be reserved under the same simplified factor based on the improved 3D_DP algorithm. The unified LOD model for the river network and DEM is feasible under the importance sequence of merged point datasets by the improved 3D_DP algorithm. Under the proper operation of data blocking, the rendering frame rate can meet practical application requirements.

A general similarity measure for simple correspondence analysis

This article presents a general similarity measure for comparing different variants of simple correspondence analysis when analysing the association using the Cressie-Read family of divergence statistics (Beh and Lombardo 2024, International Statistical Review). It includes, as special cases, the similarity measures that have been proposed in the correspondence analysis literature for assessing the similarities and differences between the traditional approach to simple correspondence analysis and new approaches like the log-ratio analysis, and the Hellinger distance method. This article describes six further properties that show how the proposed general similarity measure can be expanded upon.

Transliteration of non-Latin texts: from everyday practice to linguistic technologies

This paper discusses various transcoding systems designed to convert non-Latin texts into Latin script. Particularly significant is Romanization for Slavic languages. In general, the Latinization systems fall into two classes: those based on the transliteration approach and the ones based on practical transcription. During transliteration, the main attention is paid to simple correspondence (mutual unambiguity) between original and converted characters that allows for text reversibility, i. e. the ability to restore the original text after re-transliteration. During practical transcription, the primary concern is the sound of words. In the last scenario, it is not always possible to restore the original text. The significance of transliteration extends to historical texts written in non-Latin scripts as well. Latinization systems are broadly utilized in multilingual Natural Language Processing tasks, resulting in their wider use and enhanced need.

Physical Inactivity Increases Impairment of Daily Activities Due to Pain in Workers: An Ordinal Regression Logistic and Correspondence Analysis.

Background: The evidence for the health benefits of physical activity is growing; however, the prevalence of unhealthy lifestyles continues to contribute to the increase in chronic non-communicable diseases. We know that occupational-time physical activity does not provide the same benefits as leisure-time physical activity, which has been shown to reduce mortality and pain. We also know that multiple factors influence pain; however, there are no studies that specifically analyze the impact of type of working time and occupational-time physical activity on the impairment of daily activities due to pain. We aimed to study the influence of both personal and occupational factors on the impairment of daily activities due to pain, assessing whether leisure-time physical activity acts as a protective factor. Methods: A cross-sectional, population-based design was used based on the 2017 National Health Survey in Spain (ENSE). Sociodemographic, leisure-time physical activity, and work-related variables were collected. The outcome variable was the impairment of daily activities due to pain. Ordinal logistic regression was applied, and the analysis was complemented with simple correspondence analysis. Results: A total of 1,441 workers between 18 and 65 years of age were studied. Significant differences were found between sexes for all variables except age and leisure-time physical activity. Logistic regression revealed significant associations between sex, primary and secondary education levels, no leisure-time physical activity, and overweight with impairment of daily activities due to pain. Simple correspondence analysis showed that the categories doing leisure-time physical activity several times a week as well as several times a month are closer to the categories of little or no pain. Conclusion: Female gender, low educational level, overweight, and lack of leisure-time physical activity were associated with increases in impairment of daily activities due to pain. Occupational-time physical activity and work shift were not related to impairment of daily activities due to pain. Implications for Occupational Health Practice: Occupational Health Nursing interventions through education and counseling on the importance of leisure-time physical activity promotion programs potentially can reduce the impairment of daily activities due to pain in working populations.

Operationalizing a Weighted Performance Scoring Model for Sustainable e-Learning in Medical Education: Insights from Expert Judgement

Validation is needed for any newly developed model or framework because it requires several real-life applications. The investment made into e-learning in medical education is daunting, as is the expectation for a positive return on investment. The medical education domain requires data-wise implementation of e-learning as the debate continues about the fitness of e-learning in medical education. The domain seldom employs frameworks or models to evaluate students' performance in e-learning contexts. However, when utilized, the Kirkpatrick evaluation model is a common choice. This model has faced significant criticism for its failure to incorporate constructs that assess technology and its influence on learning. This paper aims to assess the efficiency of a model developed to determine the effectiveness of e-learning in medical education, specifically targeting student performance. The model was validated through Delphi-based Expert Judgement Techniques (EJT), and Cronbach's alpha was used to determine the reliability of the proposed model. Simple Correspondence Analysis (SCA) was used to measure if stability is reached among experts. Fourteen experts, professors, senior lecturers, and researchers with an average of 12 years of experience in designing and evaluating students' performance in e-learning in medical education participated in the evaluation of the model based on two rounds of questionnaires developed to operationalize the constructs of the model. During the first round, the model had 64 % agreement from all experts; however, 100% agreement was achieved after the second round, with all statements achieving an average of 52% strong agreement and 48% agreement from all 14 experts; the evaluation dimension had the most substantial agreements, next to the design dimension. The results suggest that the model is valid and may be applied as Key Performance Metrics when designing and evaluating e-learning courses in medical education.

Level of Depression by Sex Among High School Students in Three Municipalities of Antioquia, Colombia

Introduction: The mental health of school-going adolescents is an issue of concern for some administrators in health and education fields at some municipalities in the department of Antioquia. Development: The aim was to determine the distribution of depression levels among high, mild, and none levels according to the gender of adolescents attending school in three municipalities of Antioquia. In each population, a random sample was obtained, designed with a 95 % confidence level for the presence of depression in students aged 11 to 19 years, with an-error ranging between 3 and 5 %. The research group measured the presence of depression with the Children's Depression Inventory (CDI). Municipal authorities provided the permission and the consent of parents, teachers, and students. The group analyzed simple correspondence using the statistical software SPSS and RStudio. Results: At the highest level of depression are mainly women from Marinilla and Carmen de Viboral; at the mild level are women from the two areas in Medellín; at the no depression level are men from Carmen de Viboral and the two areas in Medellín. Conclusions: depression is a public health problem, and when it occurs, it is more likely in women than in men; in some municipalities, there is no difference between men and women, and the whole population should be intervened to remedy the situation.

Comparison and positioning of NGOs aimed at children from the perspective of social marketing on Twitter

The role of Non-Governmental Organizations (NGOs) in disseminating and protecting children’s rights is fundamental by increasing society’s knowledge about the reality that children face, thus mobilizing citizen attention. In this paper, we present an original study on social media data, specifically Twitter, to analyze childhood NGOs, evaluating the success of their content (through the likes obtained by publications) from the perspective of social marketing and prospective theory. In addition, it examines the positioning of organizations concerning the types of messages identified. The methodological approach is based on data mining, content analysis, and simple correspondence analysis through which the typology of the messages and positioning map are determined. The results suggest that these organizations generate predictable communication by publishing on specific topics and only increasing the number of tweets in emergencies when they are requiring urgent help. Some tweets show an immediate risk to which children are exposed if they do not receive help, which aligns with one of the premises of the Prospect Theory. Furthermore, a more significant number of posts does not necessarily imply a greater number of likes. Three types of messages have been determined: informative tweets that point out risks (type 1), impartial dialogue tweets (type 2), and action tweets that highlight benefits (type 3), confirmed through the Kruskal-Wallis test to have a relationship with impact. The positioning map shows that type 3 messages, which World Vision Spain opts for, are the most popular, followed by type 1, which Educo leans towards. Finally, there are those of type 2, with which UNICEF Spain is associated. The main implication is that our analysis validates the use of social media such as Twitter to analyze NGOs and proposes these social media platforms to be an important tool in mobilizing the community. In addition, this study offers parameters when constructing the messages for use in social marketing campaigns according to decisions that involve risk or certainty.

HS-SPME GC/MS Volatile profile of the Onion Allium fistulosum L. variety Pereirana, cultivated in Colombia

The study presents a characterization of the volatile organic compounds found in both raw and the essential oil of the “Pereirana Onion,” an endemic Colombian Welsh onion variety for which the composition has not been previously reported. The analysis was conducted using four distinct fibers through the HS-SPME/GC-MS method. The results revealed that chopped Pereirana onions release as many as 29 different compounds, with concentrations up to 20 times higher than those observed in other evaluated onion species (Biónica, Veleña, and Veleña Sonsón). Most of these compounds are sulfur-based, including dipropyl disulfide, (E)-1-(Prop-1-en-1-yl)-2-propyldisulfane, disulfide, methyl 1-(methylthio) propyl, dipropyl trisulphide, and (E)-1-(Prop-1-en-1-yl)-3-propyltrisulfane. Furthermore, steam extraction of essential oils from Pereirana onions led to the identification of up to 70 different compounds. Simple correspondence analysis (SCA) revealed that Veleña and Veleña Sonsón onion species share common compounds but significantly differ from Biónica and Pereirana varieties cultivated in Risaralda, Colombia. These findings suggest potential applications in the pharmaceutical, agricultural, and food industries, paving the way for future research and industrial utilization.

Isometries and the double copy

In the standard derivation of the Kerr-Schild double copy, the geodicity of the Kerr-Schild vector and the stationarity of the spacetime are presented as assumptions that are necessary for the single copy to satisfy Maxwell’s equations. However, it is well known that the vacuum Einstein equations imply that the Kerr-Schild vector is geodesic and shear-free, and that the spacetime possesses a distinguished vector field that is simultaneously a Killing vector of the full spacetime and the flat background, but need not be timelike with respect to the background metric. We show that the gauge field obtained by contracting this distinguished Killing vector with the Kerr-Schild graviton solves the vacuum Maxwell equations, and that this definition of the Kerr-Schild double copy implies the Weyl double copy when the spacetime is Petrov type D. When the Killing vector is taken to be timelike with respect to the background metric, we recover the familiar Kerr-Schild double copy, but the prescription is well defined for any vacuum Kerr-Schild spacetime and we present new examples where the Killing vector is null or spacelike. While most examples of physical interest are type D, vacuum Kerr-Schild spacetimes are generically of Petrov type II. We present a straightforward example of such a spacetime and study its double copy structure. Our results apply to real Lorentzian spacetimes as well as complex spacetimes and real spacetimes with Kleinian signature, and provide a simple correspondence between real and self-dual vacuum Kerr-Schild spacetimes. This correspondence allows us to study the double copy structure of a self-dual analog of the Kerr spacetime. We provide evidence that this spacetime may be diffeomorphic to the self-dual Taub-NUT solution.

Brazilian Registry of Interventional Cardiology during the COVID-19 Pandemic (RBCI-COVID19).

At the beginning of the COVID-19 pandemic, patients with myocardial infarction (MI) took longer to present to hospitals because of fear of contamination and health care access difficulties. To assess interventional cardiology procedures performed during the COVID-19 pandemic and its implications for MI approach. Prospective registry of 24 cardiac catheterization laboratories in Brazil, with adult patients undergoing interventional cardiology procedures between May 26 and November 30, 2020. The outcomes were cardiovascular (CV) and non-CV complications, death, and MI. Concomitant COVID-19 was confirmed using RT-PCR. Machine learning techniques were used with nonparametric Classification Trees models, and Simple Correspondence Analysis, with R statistical software package. Significance level adopted of 5%. This study included 1282 patients, 435 of whom (33.9%) had MI as follows: ST-segment elevation MI (STEMI), 239 (54.9%); and non-ST-segment elevation MI (NSTEMI), 196 (45.1%). Of the 1282 patients, 29 had CV complications, 47 had non-CV complications, and 31 died. The diagnosis of COVID-19 was confirmed in 77 patients (6%), with 15.58% mortality and non-CV complications in 6.49%. Most patients had significant coronary artery disease (63%), and an intracoronary thrombus was more often found in the presence of STEMI (3.4%) and COVID-19 (4%). A door-to-table time longer than 12 hours in NSTEMI was associated with 30.8% of complications, 25% in COVID-19 patients. All deaths were preceded by CV or non-CV complications. The presence of COVID-19 was associated with death and non-fatal complications of patients undergoing interventional cardiology procedures during the pandemic.

Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation

Efficiently training accurate deep models for weakly supervised semantic segmentation (WSSS) with image-level labels is challenging and important. Recently, end-to-end WSSS methods have become the focus of research due to their high training efficiency. However, current methods suffer from insufficient extraction of comprehensive semantic information, resulting in low-quality pseudo-labels and sub-optimal solutions for end-to-end WSSS. To this end, we propose a simple and novel Self Correspondence Distillation (SCD) method to refine pseudo-labels without introducing external supervision. Our SCD enables the network to utilize feature correspondence derived from itself as a distillation target, which can enhance the network's feature learning process by complementing semantic information. In addition, to further improve the segmentation accuracy, we design a Variation-aware Refine Module to enhance the local consistency of pseudo-labels by computing pixel-level variation. Finally, we present an efficient end-to-end Transformer-based framework (TSCD) via SCD and Variation-aware Refine Module for the accurate WSSS task. Extensive experiments on the PASCAL VOC 2012 and MS COCO 2014 datasets demonstrate that our method significantly outperforms other state-of-the-art methods. Our code is available at https://github.com/Rongtao-Xu/RepresentationLearning/tree/main/SCD-AAAI2023.

COVID-19 Pandemic Learning: The Uprising of Remote Detailing in Pharmaceutical Sector Using Sales Force Automation and Its Sustainable Impact on Continuing Medical Education

The availability of resources is vital when rapid changes and updated medical information in the provision of care are needed, such as in the fight against COVID-19, which is not a conventional disease. Continuing medical education plays an essential role in preparing for and responding to such emergencies. Workflow has improved based on the virtual meetings, online trainings, and remote detailing conducted by medical representatives in order to deliver educational content instantly through digital tools, such as salesforce automation (SFA), webinars, etc. In terms of its regulatory barriers, the pharmaceutical industry mainly targets healthcare professionals, unlike most businesses that reach end users directly. Medical representatives are equipped with an SFA to enhance customer relationship management (CRM) and closed loop marketing (CLM) capabilities in pharmaceutical companies. This study aimed to fill a gap in the literature by investigating the use of SFA in work patterns, such as health professionals’ loyalty and involvement in their medical knowledge in Turkey, and how it allows for differentiating training from marketing. This study intended to compare the data on internists and medical products gathered from a well-known pharmaceutical company’s SFA. The data covered the first three months of the year 2020, when medical representatives had a normal daily routine, and that of 2021, when Turkey experienced the most powerful surge of the COVID-19 pandemic. The analysis was based on simple correspondence analysis (SCA) and multiple correspondence analysis (MCA) for 11 variables. Monitoring product, physician’s segment, and medical representatives’ behaviors with SFA had a significant influence on the pharma-physician relationship strategy, as expected. The findings supported the view that SFA technologies can be deployed to advance the medical knowledge of physicians, in addition to managing and designing superior CRM and CLM capabilities.

Investigating the effects of structural parameters on seismic aggravation of two-dimensional sedimentary valleys

The valley-induced ground motion amplification has been well-documented and validated in previous studies, however, it remains challenging to fully integrate them into ground motion models, seismic hazard assessment, and engineering practice. In this paper, we first investigate the 2D seismic response in the Mygdonian basin, Greece, and compare the numerical results with comparable studies to validate the feasibility of our numerical toolbox in quantifying ground motion aggravation. In order to orientate towards more generally applicable conclusions rather than a site-specific, 32 idealized three-layered sediment-filled trapezoidal valleys are constructed with reference to the geological structure of the Mygdonian basin, aiming to explore the sensitivity of their additional effects attributes to the subsurface structure parameters of the valley. The half-width of the valley surface is divided into three subregions according to the wave propagation path, similar to the concept of seismic microzonation. The multivariate analysis reveals that the seismic response of each sub-region has differential or even diametrically opposite sensitivity to these structural parameters. The aggravation factor of the valley edge region shows a significant tendency to decrease with increasing edge angle, but poor sensitivity to the shape factor. On the contrary, the aggravation factor of the central region is positively correlated with the shape factor, but largely independent of the valley edge angle. Furthermore, we performed a quantitative statistical analysis and gave a simple correspondence between the seismic aggravation factor and structural parameters for different period intervals, which is an acceptable quantitative scheme from an engineering point of view.

Zika virus knowledge and vaccine acceptance among undergraduate students in Guayaquil, Ecuador.

Zika virus (ZIKV) was declared a Public Health Emergency of International Concern (PHEIC) in 2016. Concerns surrounding the effects of ZIKV persist today and several vaccine candidates are currently in various stages of development worldwide. There is limited research on ZIKV vaccine acceptability worldwide, and little research specific to Latin American countries. This research aims to identify the general beliefs and acceptance of a potential ZIKV vaccine in the undergraduate population at Escuela Superior Politécnica del Litoral (ESPOL) in Guayaquil, Ecuador. Between January and November 2019, 429 undergraduate students at ESPOL responded anonymously to a ZIKV vaccine survey. Frequencies, percentages, simple correspondence analysis, and bivariate inferential analyses were conducted using Kendall's tau-b test. Tests explored associations between likelihood of receiving a ZIKV vaccine and demographic, ZIKV information seeking, ZIKV psychosocial variables, and ZIKV information source variables. Among the eligible participants, 241 (56.2%) were willing to receive a ZIKV vaccine if one was made commercially available. Most students were male (61.5%), age 20-25 (63.3%), and of mixed (Mestizo) race (95.3%). Results provided insight into student's knowledge on ZIKV, revealed television as the most common information source, and found most students were willing to receive a ZIKV vaccine were one to become available. Bivariate results revealed most respondents reported feeling neutral or likely to receive a ZIKV vaccine regardless of their agreeability with ZIKV information seeking behavior and psychosocial variables. This study provides insight into ZIKV knowledge among ESPOL university students and reveals most respondents obtained ZIKV related information from television. The most common reason for not wanting to receive a hypothetical ZIKV vaccine was vaccine hesitancy. Likelihood of receiving a ZIKV vaccine was associated with several information seeking behavior and psychosocial variables. Public health campaigns should focus on comprehensive ZIKV education efforts in this population.

Excited states of zero seniority based on a pair condensate

We study the excited states of zero seniority for various like-particle systems interacting by pairing forces and by general two-body interactions. We consider two types of excitations, generated from a ground state described by a pair condensate. One type is obtained by breaking a pair from the ground state condensate and replacing it by "excited" collective pairs built on time-reversed single-particle orbits. The second type of zero seniority excited states is described by a condensate of identical excited pairs. The structure of these excited states is analysed for the picked fence model and for the valence neutrons of $^{108}$Sn. For a state-depending pairing interaction, the first type of excited states agree well with the J=0 states which are known in $^{108}$Sn. At the same time, these states can be also associated unambiguously with those exact states which are the closest in energy to the experimental levels. The states corresponding to the excited pair condensate appear at low energies, around the energy of the second excited state of the first type, and they do not have a simple correspondence with exact eigenstates. However, at a much higher excitation energy there is an exact state which is similar in structure to an EPC state. It is shown that this EPC state has the features of a giant pairing vibration.

How does a region react to different types of shocks? The case of a Brazilian T&C industrial region

PurposeThis study aims to empirically investigate how an industrial region has reacted to different shocks – competitive, market and environmental – through its economic subsystems – its firms, workers and institutions – in a longitudinal perspective for the period 1985–2021.Design/methodology/approachThe authors used a mixed-method approach applied to a case study of the Brazilian T&C industrial region. The authors used two data sources and two stages for data collection. The first stage involved documentary research and the second in-depth interviews. The analysis of qualitative data took place in two stages. In the first, the authors applied content analysis, and in the second stage, the authors used the exploratory statistical technique of simple correspondence analysis and the categorical data.FindingsThe results provide evidence that different types of shock provoke different reactions. However, the shock–reaction relationship is invariable over time. The authors observed proportionality in the size of the shock and the regional actors involved in the regional response – firms, workers and institutions.Originality/valueThe authors went a step further, presenting empirical research on the shock–reaction relationship using the “type of shock” as a variable. This paper provides a holistic understanding of the factors behind regional resilience through insights into the role that resources, structures, institutions and actors play in the regional response to distinct types of shocks, reaching four main conclusions.

Exploring the association between self-efficacy and future utility beliefs in mathematics: A practical tutorial on correspondence analysis.

It has long been understood that there exists a strong association between a student's belief in the future utility of mathematics and their self-efficacy in mathematics. This study re-examines this association by studying these variables based on data collected from a sample of 21,444 ninth-grade students who participated in the 2009 High School Longitudinal Study (HSLS09). The nature of the association between future utility beliefs of students in mathematics and self-efficacy of students in mathematics is explored visually using the simple correspondence analysis technique. The main feature that will be utilised from this technique is a two-dimensional graphical display, referred to as a correspondence plot. By studying the HSLS09 data, the first two axes of such a plot summarised nearly 99% of the statistically significant association that exists between a student's beliefs in the future utility of mathematics and their mathematics self-efficacy. It is shown visually that students who strongly believe in the future importance of studying mathematics also perform strongly in the subject, while those who do not believe that there is any future utility from studying mathematics do not perform well at it. This study, therefore, suggests that mathematics ability is associated with a student's perception of its future importance.

Perceptions of the risk of severe drought by residents in risk areas in the province of Holguín (Republic of Cuba)

Drought, as an extreme climate event that occurs naturally and has a lack of precipitation as its source, is one of the main dangers affecting the province of Holguin.The behavior of the population and decision-makers in the face of this phenomenon may contribute to increasing or decreasing the effectiveness of actions to reduce the risk of drought. To identify ways of action, a study was conducted on the perception of the danger of drought by residents living in risk areas of the province of Holguin.The study was to establish the most objective perception of the phenomenon as a source of damage from a quantitative point of view, by levels (high, medium and low) through the use of conjugacy tables of simple and multiple correspondence analysis.It has been noted that there is a difference in perceptions of drought hazards and factors affecting the behaviour and viability of the population and public institutions before, during and after the event.The impact of drought risk perception on agricultural efficiency is shown.

Factors controlling the Early-Mid Holocene aeolian sediment accumulation in the Pum Qu catchment and environmental implications for the southern Tibetan Plateau

Aeolian sediments, a sensitive paleoenvironmental archive, are widely distributed in the river valleys of the southern Tibetan Plateau (TP), mainly including the Pum Qu River (PQR) valley and Yarlung Tsangpo River (YTR) valley. However, factors controlling the Early-Mid Holocene aeolian sediments in the PQR catchment and its relationship with the aeolian accumulation in the YTR catchment are poorly understood. Here, we combine Optically Stimulated Luminescence (OSL) dating, magnetic parameters, grain size parameters, color variations and microscopic characteristics to investigate the factors controlling aeolian accumulation in the PQR catchment. The findings indicate that there is a spatial difference in aeolian accumulation in the PQR catchment. The strong accumulation of aeolian sand mainly occurred between ∼11 and 9.3 ka BP, and the paleosol developed between 9.3 and 4.5 ka BP in the PQR catchment during the Early-Mid Holocene. The results of the comparison show that the ages of strong aeolian accumulation in the PQR catchment and YTR catchment are desynchronized. These desynchronized ages of the Holocene strong aeolian accumulation between these two catchments are mostly caused by different controlling factors. In the PQR catchment, aeolian accumulation is dominantly controlled by multiple factors, mainly including changes in local wind force, source supply, vegetation cover and topographic factors. The Early-Mid Holocene strong aeolian accumulation in the PQR catchment is dominantly controlled by the strong local wind force and rich source supply. In the YTR catchment, the Early-Mid Holocene strong aeolian accumulation may record the interplay between Asian Summer Monsoon (ASM), insolation and westerlies. The desynchronized aeolian accumulation and its controlling factors suggest that there is no simple correspondence between aeolian accumulation and climatic and environmental changes in the southern TP.