General Index Research Articles

An Oral Health Survey of Free-Ranging and Captive Koalas From Southeast Queensland, Australia.

Good oral health is important for general well-being and longevity. Two-hundred and ninety-five koalas from free-range and captive colonies were examined to determine their oral health status. Two hundred koalas were classified as free-range, whilst 95 were captive from three separate zoological parks. Observations were made using the Koala Oral Health Chart which results in three major indices: the General Oral Cavity Index (GOCI), Oral Health Index (OHI), and Final OHI (FOHI), which describe the current oral health of the population. Eighty-six percent of the koalas had one oral health problem, with 42% of these koalas classified as old aged. The FOHI average from the whole population was 3.76 (SD 3.19, SE 0.20, median 3.00, range 0.14-15.98) with a high variance in individual indices scores. The frequencies of FOHI scoring also showed significant differences between tooth wear classes (TWC) (P = .000), with a sharp increase by TWC 3. This also occurred with the GOCI. The GOCI physical abnormalities were recorded in 141 koalas, with a median of three conditions per koala. Oral Health Index scores were recorded for 219 koalas with the highest of 8.40 in a TWC 7 female. Zoo 3 had significantly healthier oral cavities when the highest FOHI levels of each group was assessed (Zoo 1, 11.42; Zoo 2, 13.40; Zoo 3, 4.13; free-range, 15.98). The FOHI severity levels between free-range and captive koalas based on sex and TWC showed significant variation (sex, P = .000; TWC, P = .000). This study provides index values that can be used for comparison with other koalas or other species in the future.

Wellness in the invisible workforce: a pilot well-being study in black, indigenous, and people of color (BIPOC) women faculty in the pharmacy and pharmaceutical sciences

BackgroundBlack, Indigenous, and other People of Color (BIPOC) women faculty are underrepresented in biomedical sciences and higher education. This disparity has been highlighted in previous studies to harm productivity, career progression, and well-being. This pilot study aimed to assess the perceived impact of a longitudinal well-being program for BIPOC women faculty, estimating its effects on well-being, burnout, and self-efficacy.MethodsFull-time faculty in pharmacy or pharmaceutical science, identifying as BIPOC women, participated in this pilot repeated cross-sectional study of participants in a Well-Being Initiative, with the first cross-sectional study coming before a pilot intervention and the second cross-sectional coming after the pilot intervention. Cohort 1 engaged in a two-year program, while Cohort 2 participated for one year. Open-text questions assessed program impact on well-being, and inductive coding identified themes. Well-being, burnout, and self-efficacy were measured using the General Well-Being Index (WBI), Maslach Areas of Worklife Survey (AWS), 2-items from the Maslach Burnout Index-Human Services Survey (MBI-HSS), and General Self-Efficacy Survey (GSES). Descriptive statistics were calculated for primary and secondary outcomes.ResultsSixteen participated in Cohort 1, and 18 participated in Cohort 2. Both cohorts reported a positive impact on well-being and a sense of community as a result of the program. Post-intervention median WBI decreased, and burnout and well-being risk declined (MBI: 24% and 28% point decrease at risk for burnout, WBI: median score 4 to 3 with 20% decreased risk for poor well-being, and median score 3 to 0.5 with a 61% point decrease at risk for poor well-being, for Cohorts 1 and 2, respectively). The AWS community subscale (Cohort 1) median score increased from 2.67 to 3.5, and values subscale (Cohort 2) median score increased 3.17 to 3.67, the largest increases. Cohort 2 exhibited improved self-efficacy (GSES median score change of 30 to 34). Participants reported the sense of community and connection built over the year(s) of the program, the ability to share of experiences from those further along in their career, having a safe space to be authentic with fellow participants, and the various sessions on creating self-care plans and maintaining core values as top themes of how program most benefited their well-being. Lessons learned and opportunities for improvement are addressed.ConclusionParticipants reported many of the key impacts were the program’s ability to foster a sense of community and help them develop skills for personal and professional well-being. While higher baseline risks of poor well-being and burnout persist for BIPOC women faculty, positive trends emerged post-intervention. This study contributes to innovative strategies focused on supporting the well-being of BIPOC women faculty and lessons learned may inform and help refine future research.Clinical trial numberNot applicable

Geospatial distribution and anthropogenic litter impact on coastal mangrove ecosystems from the Saudi Arabia coast of the Gulf

Mangrove ecosystems are significantly impacted by marine litter pollution, an increasingly important environmental problem. These ecosystems, situated at the interface between sea and land, serve as critical habitats and act as traps for plastic pollution. This study investigated the concentration, source, and composition of marine litter on both the mangrove bottom and canopy along the Saudi Arabia coast in the Gulf. The observed concentration of surface litter ranged from 0.98 ± 0.05 to 2.96 ± 0.25 items/m², with a mean concentration of 1.4 ± 0.61 items/m² (SD; N = 9). The mean trapped litter was 0.79 ± 0.45 items/tree, ranging from 0 to 7 items/tree. Plastic litter dominates the mangrove environment, accounting for 80% of debris items on the floor and 43% of those entangled in the canopy. Single-use plastics were the most prevalent type of litter detected across all surveyed locations. The sediments within the mangrove ecosystem serve as long-term repositories for plastic litter, evaluated through various indices, such as General Index, Clean Coast Index, Pollution Load Index, and Hazardous Litter Index, to assess the cleanliness of the mangrove floor. The Pollution Load Index shows a “Hazard level I,” indicating that the mangrove floor is less contaminated. A higher concentration of litter was observed in urban areas with greater population density, likely originating from terrestrial activities like urban runoff and marine activities, particularly fishing.

Modeling of diatom indices (Bdı, Tdı and Gdı) based on the physico-chemical structure of the river ecosystem with machine learning and artificial intelligence methods; a comparative example

Abstract Diatom indices are used to assess the quality of aquatic plants in sustainable river ecosystems. The traditional assessment of diatom indices involves complicated and lengthy process steps. Today, artificial intelligence-based modelling plays a key role in overcoming this complexity. The aim of this work is to model selected diatom indices Biological Diatom Index (BDI), Trophic Diatom Index (TDI) and General Diatom Index (GDI) based on the physicochemical structure of river ecosystems using artificial intelligence and machine learning methods. The application part of the study used surface water variables from rivers monitored by 5 different stations for 24 months as a data set. Traditional analyses were compared with artificial intelligence and machine learning methods using the MATLAB programme. Different algorithms were considered, including Neural Network/Multilayer Perceptron (MLP), Support Vector Machine (SVM), Linear Regression (LR), Gaussian Process Regression (GPR), Decision Tree and Levenberg-Marquardt (LM) approach. To evaluate the quality of the models, the coefficient of determination (R2), root mean square error squared (RMSE) and mean absolute percentage error (MAPE) were compared. The R2 values of the Levenberg-Marquardt model, which gave the best prediction results for BDI, TDI and GDI, were found to be Validation; 0.7691, Training; 0.9620 Testing; 0.8613, Validation 0.9273, Training; 0.9303, Testing; 0.9199, Validation; 0.9273, Training; 0.9303, Testing; 0.9199, respectively. Levenberg Marquardt efficiently predicted Diatom index results accurately with high precision. Our results show that artificial intelligence and machine learning methods are highly efficient tools for the prediction of diatom indices. A time-efficient and labour-saving application in sustainable ecosystem management was successfully demonstrated.

Minimizing the general atom-bond sum-connectivity Index of unicyclic graphs with a given maximum degree

Minimizing the general atom-bond sum-connectivity Index of unicyclic graphs with a given maximum degree

Iterative Forecasting of Financial Time Series: The Greek Stock Market from 2019 to 2024

Predicting the evolution of financial data, if at all possible, would be very beneficial in revealing the ways in which different aspects of a global environment can impact local economies. We employ an iterative stochastic differential equation that accurately forecasts an economic time series’s next value by analysing its past. The input financial data are assumed to be consistent with an α-stable Lévy motion. The computation of the scaling exponent and the value of α, which characterises the type of the α-stable Lévy motion, are crucial for the iterative scheme. These two indices can be determined at each iteration from the form of the structure function, for the computation of which we use the method of generalised moments. Their values are used for the creation of the corresponding α-stable Lévy noise, which acts as a seed for the stochastic component. Furthermore, the drift and diffusion terms are calculated at each iteration. The proposed model is general, allowing the kind of stochastic process to vary from one iterative step to another, and its applicability is not restricted to financial data. As a case study, we consider Greece’s stock market general index over a period of five years, from September 2019 to September 2024, after the completion of bailout programmes. Greece’s economy changed from a restricted to a free market over the chosen era, and its stock market trading increments are likely to be describable by an α-stable L’evy motion. We find that α=2 and the scaling exponent H varies over time for every iterative step we perform. The forecasting points follow the same trend, are in good agreement with the actual data, and for most of the forecasts, the percentage error is less than 2%.

Effects of microplastic types and shapes on the community structure of arbuscular mycorrhizal fungi in different soil types.

Arbuscular mycorrhizal fungi (AMF) play a crucial role in soil ecosystems by enhancing nutrient exchange, stabilizing soil structure, and improving water movement in soils. Microplastics (MPs), synthetic polymers smaller than five mm, pose an emerging threat to AMF by altering soil structure and chemistry, potentially disrupting these essential functions. This study examined how ten different microplastic types and shapes influenced AMF communities within the context of Grime's C-S-R (competitor-stress tolerator-ruderal) framework. We tested the effects of polypropylene, polyester, high-density polyethylene, polyethylene terephthalate, low-density polyethylene, polyvinyl chloride, and polystyrene on three distinct soils (Albic Luvisol, Haplic Chernozem, and Haplic Luvisol), examining MPs in forms of fibers, films, fragments, and mixtures, in a total of 15 treatments. Although general diversity indices based on the OTU level showed no significant changes, shifts occurred at the genus level. The soils were predominantly colonized by Funneliformis and an unidentified genus in Glomeraceae (incertae sedis); however, the addition of MPs increased the relative abundance of Diversispora and Claroideoglomus, while also subtly promoting Rhizophagus and Septoglomus. In particular, Claroideoglomus showed a notable increase in relative abundance in the most diverse Haplic Chernozem soil when exposed to fragment-shaped MPs and mixed MP types. According to Grime's C-S-R framework, these genera are classified as ruderals, except for Diversispora, a stress tolerator. Ruderals are known to thrive following disturbances, such as physical disruption of soil structure, a known effect of MPs, while MPs can also create stress conditions within the soil selecting stress tolerators. Our findings highlight the complex and soil-specific interactions between MPs and AMF, demonstrating that the effects of MPs on AMF are driven by the combined influence of soil types and MP properties.

General sum-connectivity index of unicyclic graphs with given maximum degree

General sum-connectivity index of unicyclic graphs with given maximum degree

Features of emotional burnout of teachers of different educational organisations with regard to their age and length of service

Introduction. Exploring teachers’ emotional burnout is important for improving the educational environment, perfecting the quality of education and preserving the health of teachers themselves. Although the emotional burnout phenomenon is actively explored by specialists with respect to various professional groups, the data on the specifics of this syndrome in teachers are fragmentary and often contradictory, especially with regard to such factors as age, length of service and level of educational organisation (place of work). The article aims to determine the specifics and extent of emotional burnout in teachers of different-level educational organisations with regard to their age and teaching experience. Materials and methods. The study involved 1,054 teachers with the average age of 45 years old and the average experience of pedagogical activity being 20 years. To assess the level of emotional burnout and the extent of severity of its inherent symptoms, “Diagnosis of the level of emotional burnout” by V.V. Boyko was used; the results were processed by the methods of mathematical and statistical analysis (single-factor analysis of variance, correlation analysis). Results. It was revealed that emotional burnout syndrome is a common phenomenon among teachers, but its manifestations may differ depending on the level of the educational environment – preschool institutions, schools and vocational educational organisations. School teachers are most susceptible to this syndrome, scoring high on the general KEYWORDS index (Xav=133.2) and in terms of the level of formation of emotional burnout phases and symptoms. The lowest level of emotional burnout was found in vocational education teachers (Хav=109.8). The specific features of emotional burnout in teachers of different ages having different professional experience depend on the level of their education. The gravity of relevant symptoms in teachers of preschool educational organisations increases with age – the lowest indicators of manifestation of such symptoms are observed in teachers with professional experience of up to 3 years, after which the indicators grow with the extended experience; the mean maximum values are recorded in teachers with the experience of 10-20 years and more. This is explained by the specific emotional load which is increasingly pressing with years. School teachers show increased indicators at the stage of early professionalisation (work experience from 3 to 10 years), which is associated with the feeling of routine, high emotional load and lack of mature professional skills; further, the emotional burnout syndrome becomes less pronounced with the school teachers’ growing length of service and ageing. Conclusion. The described features of emotional burnout require further study; however, they can be used to develop due measures to prevent this condition among teaching staff. These measures can be useful both for managers of educational organisations and the education system as a whole.

Uncertainty and the Covid‐19 Pandemic: A Case Study for Disaggregated Industrial Production

ABSTRACTEmploying principal component analysis (PCA), we build novel economic uncertainty indices for Turkey. Economic/business uncertainty and sectoral uncertainty indices sensitively detect important economic and political events in Turkey as well as Covid‐19‐induced uncertainty spiking to an all‐time high during the outbreak, providing handy tools for policymakers. Then, we analyze the impact of the pandemic on the Turkish economy through general and sectoral industrial production indices employing structural VAR models. Moreover, we examine the forecast accuracy of the uncertainty indices and show that our uncertainty measures are not biased. Out‐of‐sample forecast power results suggest that the services‐related uncertainty index significantly better proxies Covid‐19 stimulated structural shocks. This is due to the immediate significant impact of the Covid‐19 pandemic on the service sector since lockdown measures initially affect this sector.

Development and validation of a food literacy self-perceived assessment scale for the Portuguese adult population

Food literacy refers to the ability to access, process, and understand food-related information and apply this knowledge to make informed food choices in different contexts. In Portugal, there are no published data on food literacy levels at the population level using a measurement scale adapted to the national context, based on the principles advocated by the Mediterranean Food Wheel, and on the matrix Domains of Food Literacy (Planning, Management, Selection, Preparation, and Consumption) and Information Processing Skills (Assessing, Understanding, Evaluating, and Applying food system information). This study aimed to develop and validate a self-perceived food literacy assessment scale for Portuguese adults. The development process involved three phases: (1) content development based on previous scales and frameworks, (2) face validity evaluation by a panel of experts, and (3) a cross-sectional study performed with 252 participants via an online questionnaire. Principal component analysis (PCA) was used to assess content validity, and Cronbach’s alpha was used to measure internal consistency. Construct validity was tested by analyzing associations between food literacy and demographic, professional, and knowledge-related variables. The final Food Literacy Self-Perceived Assessment Scale included 42 items organized into a general index and five sub-indices (Planning, Management, Selection, Preparation, and Consumption). The scale showed good internal consistency (α ≥ 0.85). Higher food literacy scores were associated with being female, younger age (≤40 years), having a comfortable household income, working in nutrition-related fields, and possessing prior food-related knowledge. The validated Portuguese Food Literacy Self-Perceived Assessment Scale provides a useful tool for health professionals to assess food literacy among Portuguese adults.

Degree-based topological properties of borophene sheets

Abstract This study examines many innovative topological numbers and establishes mathematical interpretations for boron clusters and borophene coverings. The general Randic index, arithmetic index, and Albertson index are discussed in this work for the alpha sheets of boron clusters. Boron cluster sheets are two-dimensional boron atom-based formations called borophene. They are similar to the two-dimensional sheet known as graphene, which is composed of carbon atoms arranged in a hexagonal lattice. The unique electrical, mechanical, and thermal properties of borophene make it a sought-after substance for a variety of uses, such as catalysis, energy storage, and electronics. There are two ways to manufacture borophene: chemical vapour deposition and molecular beam epitaxy. Degree-based topological numbers are a great example of a molecular descriptor that provides information on the connection of atoms in a molecule. These descriptions are based on the notion of a node’s degree in a molecular network, which indicates the number of neighbouring atoms that are directly connected to that node.

Digitalisation and global value chain participation: evidence from Spanish manufacturing firms

ABSTRACT This study examines the relationship between the adoption of digital technologies and firms’ participation in global value chains (GVCs), and the channels through which this relationship operates. Using a sample of Spanish manufacturing firms from 2006 to 2018, we analyse the impact of digitalisation on the decision to participate in GVCs. We construct a general synthetic index of digitalisation at the firm level, along with two additional indices capturing information and telecommunication technologies and automation processes. We find that digitalisation is a key driver of GVC participation, both through a direct effect and an indirect effect resulting from enhanced productivity. Our findings also provide evidence on the two channels -imports of intermediate inputs and exports- by which digitalisation affects GVC participation. In particular, ICTs are important for expanding export markets, whereas automation operates predominantly through the import channel and is limited to producers of intermediate goods.

Transformed to myelofibrosis is a risk factor for pulmonary hypertension in Philadelphia chromosome-negative myeloproliferative neoplasms

Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-MPNs) are a group of malignant clonal disorders originating from bone marrow hematopoietic stem cells, and pulmonary hypertension (PH) is a serious progressive disease often coexisting with Ph-MPNs, with a prevalence ranging from 5 to 50%. The aim of this study was to analyze the prevalence, clinical characteristics, and associated risk factors of PH in 130 patients with Ph-MPNs, to investigate the impact of PH on patients’ prognosis, and to provide a reference for the clinical identification of adverse prognostic factors and early prevention and treatment of PH. One hundred and thirty patients with Ph-MPNs treated at Beijing Anzhen Hospital from January 1, 2020 to December 31, 2024 were included in the study. PH risk was assessed by echocardiography (ECHO), and tricuspid regurgitation velocity (TRV) > 2.8 m/s was used as the criterion for high risk of PH. General information, hematological indices, biochemical indices, gene mutations and echocardiographic data of the patients were collected and statistically analyzed. The overall prevalence of PH among the 130 patients with Ph-MPNs was 15.4%. patients with PMF had the highest prevalence of PH (72.3%), which was significantly higher than that of patients with PV (9.9%) and ET (10.4%) (P < 0.05). patients in the PH high-risk group were older, had lower hemoglobin levels, and had a higher prevalence of splenomegaly and secondary myelofibrosis. the PH high-risk group Patients had a significantly higher mortality rate than the normal risk group (20% vs. 1.81%, P = 0.0004). Multifactorial Cox regression analysis showed that advanced age (HR = 1.029, P = 0.0332) and high risk of PH (HR = 1.034, P = 0.0432) were independent risk factors for patient survival.Logistic regression analysis showed that decreased hemoglobin (OR = 0.9657, P = 0.0062), splenomegaly (OR = 5.105, P = 0.0413) and secondary myelofibrosis (OR = 7.959, P = 0.0321) were independent risk factors for high risk of PH. This study revealed the prevalence of PH, risk factors, and their prognostic implications in patients with Ph-MPNs. It is suggested that regular monitoring of changes in relevant risk factors and vigilance and prevention of PH during the treatment of patients with Ph-MPNs are clinically important to improve the prognosis of patients.

Music therapy in psychological and educational context: Enhancing emotional and cognitive development of students.

Music therapy in psychological and educational context: Enhancing emotional and cognitive development of students.

THE IMPACT OF MACROECONOMIC FACTORS ON THE SYSTEMATIC RISK OF THE RUSSIAN STOCK MARKET

The article is dedicated to the characteristics of systematic risk in the Russian stock market. It provides an analysis of macroeconomic factors influencing the Russian stock market, highlighting the causal relationships between economic factors and market dynamics. These factors include exchange rates, oil prices, inflation, the monetary policy of the Central Bank of Russia, the M2 money supply, and geopolitical factors. The sample of daily data covers the period from December 13, 2019, to May 6, 2024. Using the Asymmetric Generalized Autoregressive Conditional Heteroskedasticity model with Dynamic Conditional Correlation (ADCC-GARCH), dynamic beta values for the Moscow Exchange index relative to the MSCI World index, sectoral indices of the Moscow Exchange, and gold were obtained, relative to the main Moscow Exchange index. Based on the pairwise correlation of macroeconomic factors, their multicollinearity was identified, and some factors were excluded. The pairwise correlation of factors with the Moscow Exchange index revealed a positive relationship with dividend yield, industrial production index, P/E ratio of the Russian stock market, Russia's GDP, and the USD/RUB exchange rate, and a negative relationship with the three-month US Treasury yield and inflation. Based on the regression of global, country-specific, and sectoral macroeconomic factors with dependent betas for the general and sectoral indices of the Moscow Exchange and gold, an inverse relationship was found between the three-year US Treasury yield and the beta of gold, the key rate of the Central Bank with the Moscow Exchange index, and a direct relationship between the energy sector of the S&amp;P 500 and the oil and gas index. Based on the forecast, the gold index, telecommunications index, and financials have a downward trend in their beta coefficients considering the impact of macroeconomic factors. The coefficient of variation determined the highest uncertainty in the forecast of the oil and gas index beta and the lowest uncertainty in the financial index beta.

The impact of fiscal policy shocks on the Iraq Stock Market index for the period (2004-2022)

The research aims to analyze the impact of fiscal policy tools on the general index of the Iraq Stock Exchange and how the shocks to which fiscal policy was exposed can affect the general index of the Iraq Stock Exchange, as financial markets are an important source in providing local financing. A tool works to employ surplus funds from economic units and direct them towards productive economic activities to play a role in achieving economic growth. In order to prove the research hypothesis, the time series (2004-2022) was used to measure the impact of fiscal policy shocks on the general index of the Iraq Stock Exchange using the non-linear autoregressive distributed lag (NARDL) model. The study concluded that there is a weak impact of fiscal policy tools on the general index of the Iraq Stock Exchange, as both (oil revenues and external debt) affected the general index, while there was no impact for other revenues. The response of the general index to negative shocks for each of (public expenditures, tax revenues, and internal debt) was also clarified. The study recommended the need to diversify the sources of public revenues in order to mitigate the severity of fluctuations to which fiscal policy is exposed, which may be negatively reflected. On the general index of the market, since the financial policy in Iraq depends on one source of financing (the oil sector) in addition to developing the Iraqi financial market to serve the national economy by increasing investment awareness among individuals and local and foreign investors with the aim of attracting foreign capital that works to advance the reality of the Iraqi economy.

Reviewing Nation Branding Indexes: An Approach to Their Methodologies and Results

Nation branding refers to the strategic management of a country’s image to ensure that it is a fair, balanced, and useful reflection of the country itself. A strong nation brand is fundamental to its diplomacy, economy, and the well-being of its inhabitants, among other elements. To monitor the degree of this strength, different international indexes are periodically created and published. This entry focuses on introducing the concept of nation branding, and on describing the methodologies and latest results of the rankings that are currently considered most relevant in both academia and industry. These rankings are divided into two categories, namely, general nation branding indexes (Nation Brands Index, Future Brand Country Index, RepCore Nations, Good Country Index, Best Countries ranking) and field-specific nation branding indexes (Global Soft Power Index, Country Brand Ranking Tourism Edition, Country Brand Ranking Trade Edition, World Economic Outlook, Better Life Index).

Early pregnancy loss rate in first-time fresh cycles of low prognosis patients according to the POSEIDON criteria: a single-center data analysis

BackgroundsThe study was designed to analyze early pregnancy loss rates in first-time fresh embryo transfer cycles in low prognosis patients according to the POSEIDON criteria.MethodsThis was a retrospective cohort study, including patients with positive human chorionic gonadotropin after first fresh cycles in the Reproductive Center of Henan Province People’s Hospital from June 2018 to February 2023. A total of 2392 cycles were included in this study, which were divided into 4 groups according to the POSEIDON criteria. The general condition, laboratory indexes, and early pregnancy loss rates of patients were compared in each group and the prediction model was constructed in POSEIDON group 4.ResultsThe early pregnancy loss rate ranked from high to low in order of Group D (32.82%), Group B (23.31%), Group C (15.34%), and Group A (13.68%). After adjusting confounding factors, multivariate logistic regression analysis revealed that the early pregnancy loss rate was significantly higher in groups B and D than in groups A and C (all P < 0.05). The comparison between Group A and Group C, as well as between Group B and Group D, showed no statistical differences (both P > 0.05). Group D was randomly divided into training and validation cohorts according to 7:3. The prediction model was constructed based on risk factors. The AUC of the training cohort was 0.761(95% CI: 0.680–0.841), and the AUC of the validation cohort was 0.604(95% CI: 0.440–0.767).ConclusionsPatients in POSEIDON group 4 have the highest early pregnancy loss rate, followed by group 2, while patients in groups 3 and 1 have the lowest rate in first-time fresh cycles. The prediction model was successfully established which can predict the occurrence of early pregnancy loss in first-time fresh cycles in POSEIDON group 4.

Competitividad turística en Mazatlán, Sinaloa: un análisis de percepción y satisfacción durante la Semana Santa y la semana de Pascua

Objective: Evaluating Mazatlán’s competitiveness from the tourists’ perception of different satisfaction dimensions. Methodology: The general tourist satisfaction index was calculated and also by dimension through a survey applied to 686 individuals. Results: The overall tourist satisfaction index is 9.0 (medium-high level); most of the dimensions obtained between 8.0 and 8.5 index, meaning a medium-high level of satisfaction. Value: The observation of tourist’s perception of one of the most important national destinations. Limitations: The timing of the study is Holy week and Easter week; there is no contrast with Summer’s tourist satisfaction information. Conclusions: Tourists’ evaluation and perception of Mazatlán’s competitiveness is good; however, improvement should be made for each dimension in order to achieve a differentiated and attractive tourist offer, which leads towards a competitive tourist model.