Abstract:The impact of confined masonry walls made of brick and block on the seismic response of reinforced concrete structures commonly used in regional housing is investigated. The membrane stiffness factors of the masonry walls were determined using a combination of equivalent diagonal modeling techniques and Shell elements. The results obtained from both modeling approaches were compared and iteratively adjusted, showing peaks at wall opening percentages of 5% and 25%. These factors depend on the type and percentage of opening, type of masonry, and frame span, with reductions ranging from 80% to 90%. The analysis revealed significant changes of approximately 25% in the center of rigidity during the initial seismic cycles due to confined masonry walls. This behavior can induce torsional effects and severe structural damage, including collapse. The masonry walls modeled as compression diagonals allowed a better understanding of their contribution to the lateral load resistance. The membrane stiffness factors obtained for Shell elements provide a valuable tool for accurately modeling confined masonry in reinforced concrete structures, improving seismic design and evaluation of housing structures, thus enhancing their safety and resilience against seismic events.

Resumen:Se investiga el impacto de los muros de mampostería confinada de ladrillo y bloque en la respuesta sísmica de estructuras de hormigón armado comúnmente utilizadas en viviendas de la región. Utilizando una combinación de técnicas de modelado de diagonales equivalentes y elementos tipo "Shell", se encontraron los factores de rigidez de membrana de los muros de mampostería. Los resultados obtenidos con ambos enfoques de modelado fueron comparados y ajustados iterativamente y muestran picos en porcentajes de abertura del 5% y del 25%. Dichos factores dependen del tipo y porcentaje de abertura, tipo de mampostería, y luz del pórtico, con reducciones que van del 80% al 90%. El análisis reveló cambios significativos de aproximadamente 25% en el centro de rigidez durante los ciclos sísmicos iniciales debido a la presencia de muros de mampostería confinada. Este comportamiento puede generar efectos torsionales y daños estructurales graves, incluyendo el colapso. El modelado de los muros de mampostería como diagonales de compresión permitió comprender mejor su contribución a la resistencia a cargas laterales. Los factores de rigidez de membrana obtenidos para los elementos tipo “Shell” proporcionan una herramienta valiosa para modelar con precisión la mampostería confinada en estructuras de hormigón armado, lo que ayuda en la mejora del diseño y la evaluación sísmica de estructuras de viviendas, aumentando su seguridad y resiliencia ante eventos sísmicos.

Abstract: The main objective of the present study is to determine the main factors that influence the management of academic processes and how this in turn influences student satisfaction in a private university that implements the competency model. A questionnaire is developed where the perception of 248 university senior students is evaluated. An analysis of structural equations is performed to determine the impact of the subprocesses defined in the management of academic processes, as well as the impact of this in student satisfaction. The results show that all dimensions have a significant influence, with p-values less than 0.001, except for the dimension of academic infrastructure. Based on these results, it is concluded that student satisfaction is influenced by the management of academic processes and this in turn is mainly influenced by teaching management and the management of the academic program in the context of a university that uses a competence-based model.

Resumen: El principal objetivo del presente estudio es determinar los principales factores que influyen en la gestión de los procesos académicos y cómo este a su vez influye sobre la satisfacción estudiantil en una universidad privada que implementa el modelo por competencias. Se elabora un cuestionario para evaluar la percepción de 248 estudiantes universitarios de últimos ciclos. Se realiza un análisis de ecuaciones estructurales para determinar el impacto de los subprocesos definidos en la gestión de procesos académicos, así como el impacto de este en la satisfacción estudiantil. Los resultados muestran que todas las dimensiones influyen significativamente, con p-valores menores a 0.001, salvo la dimensión de infraestructura académica. En base a estos resultados, se concluye que la satisfacción estudiantil es influenciada por la gestión de procesos académicos y este a su vez es principalmente influenciado por la gestión docente y la gestión del programa académico en el contexto de una universidad que emplea un modelo por competencias.

On 5 August 2014, the Orkney M5.5 earthquake, the largest in South African gold mining districts, occurred with an unusual strike-slip mechanism at great depth of 4.78 km below the surface. In a rare case, the M L 5.5 earthquake occurred within the area covered by the legacy 2D and 3D reflection seismic data acquired in the 1990s and 2000s for gold exploration and mine development. In addition, the earthquake ML 5.5 rupture plane was recorded and accurately delineated by the underground in-mine seismic network near the source region. The integration of the legacy 2D reflection seismic data and mine seismicity data allowed us to identify a near-vertical structure, striking northnorthwest-south southeast (NNW-SSE). The ICDP-DSeis team drilled three holes (Hole A, Hole B, and Hole C), and two holes (Hole B and Hole C), intersected the upper edges of the M L 5.5 rupture. These holes recovered metasediments, metabasalts, intrusive rocks including dolerite sills and lamprophyre dykes adjacent to the fault zone, and the fault gouge. Late Prof. Tullis Onstott and geomicrobiologists installed a packer in Hole A and successfully recovered saline water and detected gas (~10 MPa). Slip weakening and rupture propagation are significantly influenced by the existence of fault gouges and the production of wear material between two sliding rock surfaces. Using the fault gouge material recovered from Hole C, we conducted friction experiments under dry and room temperature conditions at high slip velocity of ~100 mm/s and normal stress of 2 MPa. The resulting steady-state frictional strength was ~0.66 over a slip weakening distance of ~9.1 m. The steady-state frictional strength was high, which may be caused by large gouge thickness, and the rate of wear generation. As a result, it is proposed that the Moab Khotsong ML 5.5 seismogenic zone is complex and could be controlled by three main processes: a) the complex structural architecture of the seismogenic zone (e.g., intersection of fault, lamprophyre dykes, and dolerite sills); b) the mechanical process induced by tectonic and/or mining related stresses; and c) the mechanical and chemical processes caused by the water and rock interaction.

Abstract The objective of this study was to analyze the directions by which school jet lag is associated with traumatic dental injury in children, evaluating direct and indirect effects of socioeconomic factors and sleep. A representative, population-based, cross-sectional study was conducted with 739 schoolchildren eight to ten years of age. Parents/guardians answered a sociodemographic questionnaire, the Sleep Disturbance Scale for Children and the Circadian Energy Scale. Four examiners underwent training and calibration exercises for the diagnosis of traumatic dental injury (K > 0.80) using the criteria proposed by Andreasen (2007). Descriptive analysis was followed by structural equation modeling to determine direct and indirect associations between the variables incorporated into the theoretical model. School jet lag [standardized coefficient (SC): -0.238, 95%CI: -0.390–0.087], income (SC: -0.151, 95%CI: 0.0010–0.292), and number of residents in the home (SC: -0.109, 95%CI: -0.212–0.007) were directly associated with traumatic dental injury, whereas sleep disturbances and schooling of the parents/guardians exerted an indirect effect. Sociodemographic factors and school jet lag were associated with traumatic dental injury in children eight to ten years of age.

ABSTRACT Predicting the adhesive force between steel reinforcement and concrete is crucial as it influences stress distribution and the overall mechanical behavior of reinforced concrete. This study proposes a novel approach to enhance bond strength prediction using machine learning (ML) models optimized through Bayesian optimization (BO). A dataset comprising 401 beam tests with six key factors was used to train three distinct ML algorithms—Support Vector Regression (SVR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost). The prediction models were first trained on the full dataset, with BO applied to fine-tune hyperparameters and improve accuracy. Among these models, the BO-XGBoost achieved the best performance, with an R2 of 0.74, MAE of 1.412 MPa, and RMSE of 1.516 MPa on the test set, and R2 = 0.80, MAE = 0.950 MPa, RMSE = 1.200 MPa on the training set. In addition, a simplified model was developed, incorporating only three critical variables—rebar thickness, reinforcement tensile strength, and concrete compressive capacity—to make the model more applicable in real-world engineering scenarios. To further interpret the model’s predictions, Shapley additive explanations (SHAP) were employed, revealing the specific influence of each variable on bond strength. This study demonstrates that the integration of ML with Bayesian optimization can significantly improve the accuracy of bond strength predictions, offering valuable insights for structural design optimization.

ABSTRACT At present, there are serious problems in sorghum harvesting, such as lodging entanglement and the loss of broken stems due to the lack of an external dividing device for the cutting table and holding device. Based on the physical and mechanical characteristics of sorghum plants, an integrated outer divider was developed. The main structural parameters and working parameters of the outer divider were determined. A comparative test of the working quality of the outer divider was carried out. The results show that the working quality of the cutting table with the outer divider is obviously better than that without the outer divider and that the harvest loss of the cutting table is effectively reduced. The Box–Behnken experimental design method was used to investigate the effects of the forward speed, rotation speed of the grain lifter and dividing angle of the outer divider on the lodging and broken stem loss rates during sorghum harvesting. The regression mathematical model and response surface of the lodging and broken stem loss rates and the analysis factors were established, and the optimal working parameters of the outer divider were determined as follows: the dividing angle of the outer divider was 20°, the forward speed was 0.8 m/s, and the rotating speed of the grain lifter was 330 rpm. Under these parameters, the loss rate of the fall was 1.08%, and the loss rate of broken stems was 1.05%, which met the requirements of sorghum cutting tables

ABSTRACT The anti-clogging device of a no-till seeder is an important component that affects the seeding quality. In one year two crop area of China, a no-tillage seeder for corn generally includes a passive anti-clogging device, and there are often problems with straw winding around working parts due to the low straw cleaning rate. To solve these problems, a support cutting anti-clogging device with vibration for a no-till seeder was designed in this study to efficiently cut wheat stalks and remove them to the sides of the seedbed. Through theoretical calculations and kinematic analysis, the main structural parameters of the device were limited to small ranges of values: the mounting angle of the vibrating knife was in the range θ1 = 70–82°, the amplification was in the range l1 = 14–24 mm, and the frequency was in the range ωm = 240–340 rad/min. To analyse the effects of the main parameters on the average straw cutting rate, soil bin experiments were carried out using an orthogonal multinomial regressive experimental design with three factors and three levels. The optimal structural parameters derived in this way were as follows: mounting angle for the vibrating knife θ1 = 70.7°, amplification l1 = 19 mm, and frequency ωm = 330.2 rad/min. The results of adaptability and comparison tests showed that the average straw cutting rate was 93.30% when the proposed anti-clogging device with vibration was used. Compared to traditional devices, the cutting rate for the device was increased by 12.82%, and the metrics were superior to those of a traditional anti-clogging device. This research can serve as a reference for designing anti-clogging devices for no-till seeders.

BACKGROUND: The South African response to the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus was swift and assertive, although it came with economic and social costs. An understanding of the pandemic experiences of different population groups is integral to enhancing disease control AIM: The aim of this study was to identify behavioural responses and public perceptions relating to the coronavirus disease 2019 (COVID-19) pandemic SETTING: The study was conducted in South Africa METHODS: In June 2022, a national online survey (N = 3018) was conducted among adults (> 18 years). Logistic regression was used to examine the factors associated with adherence to government measures and vaccination. Structural equation modelling (SEM) was applied to examine the direct and indirect relationship of socioeconomic status (SES) with protective behaviours RESULTS: Data showed no direct association between SES and vaccination uptake, but SES was indirectly and positively associated with vaccination uptake. Socioeconomic status was also indirectly and positively associated with adherence to government measures through pathways mediated by access to the Internet, access to local news, government trust and positive government experiences CONCLUSION: This study highlights the complexity of government measures and vaccination adoption and the socioeconomic barriers affecting these CONTRIBUTION: Results from this study should be used to inform future pandemic preparedness plans. In particular, policymakers should consider the importance of providing scientific information through channels accessible to each socioeconomic group to promote positive behavioural changes, as well as the need to adapt pandemic responses to different socioeconomic groups

RESUMO: A China é o maior país produtor de melão em todo o mundo. A aplicação extrema de fertilizantes durante o plantio de melão representa uma séria ameaça ao meio ambiente e à segurança alimentar, portanto, como promover os agricultores a usar fertilizante orgânico verde tornou-se um tópico importante. Este estudo introduziu criativamente a consciência verde no quadro estendido da teoria do comportamento, planejado para explorar os fatores decisivos da intenção dos agricultores de melão de aplicar fertilizante orgânico verde. O modelo de equações estruturais é usado para investigar a intenção de comportamento de 543 agricultores de melão no Condado de Leting, China. Os resultados sugerem que tanto a norma subjetiva quanto a consciência verde podem afetar positiva e significativamente o comportamento dos produtores de melão. Quando a norma subjetiva aumenta em 1, o desvio padrão, a intenção do agricultor aumenta em 1,028 desvio padrão. Para cada aumento de 1 desvio padrão na consciência verde, a intenção dos agricultores aumentou em 0,703 desvio padrão. RESUMO mundo alimentar portanto tornouse tornou se importante 54 Leting 1028 028 1,02 0703 0 703 0,70 5 102 02 1,0 070 70 0,7 10 07 7 0,

ABSTRACT: China is the biggest muskmelon producing country across the world. Extreme application of fertilizer during planting of muskmelon poses a serious threat to the environment and food safety, so how to promote farmers to use organic fertilizer has become an important topic. This study creatively introduced green awareness into the extended framework of theory of planned behavior to explore the decisive factors of muskmelon farmers’ behavior intention to apply green organic fertilizer. The structural equation model is used for investigating behavior intention of 543 muskmelon farmers in Leting County, China. The results suggested that both subjective norm and green awareness can affect muskmelon farmers’ behavior intention positively and significantly. When the subjective norm increases by 1 standard deviation, the farmers’ intention increases by 1.028 standard deviation; for every 1 standard deviation increase in green awareness, the farmers’ intention increased by 0.703 standard deviation. ABSTRACT world safety topic 54 County significantly 1028 028 1.02 0703 0 703 0.70 5 102 02 1.0 070 70 0.7 10 1. 07 7 0.

The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) stands for being the most serious epidemic (so far) of the 21st century. However, only a few computational studies have investigated the molecular mechanisms underlying the neutralization of the spike protein by antibodies of different classes. Hence, bioinformatic methods were employed to unravel the factors contributing to the remarkable neutralization capacity exhibited by specific antibodies. Initially, crystallographic structures of IgA monomeric / dimeric, IgG, and IgM antibodies binding with the receptor-binding domain region of the SARS-CoV-2 spike protein were retrieved. Subsequently, rigid molecular docking and molecular dynamic simulations were performed over 100 ns with explicit water solvation. Lastly, an energy decomposition was conducted to estimate the binding affinity using the last frames from molecular dynamics. The results revealed a higher binding affinity for both monomeric and dimeric forms of IgA antibodies against the spike protein. Additionally, a greater number of hydrogen bonds were observed during their interaction with the spike protein, as well as greater structural instability along the time and especially a more thermodynamically favorable interaction affinity. In this way, the research contributes a small piece to the complex puzzle of understanding the humoral immune response induced by the SARS-CoV-2 virus. SARSCoV2 SARSCoV SARS CoV (SARS-CoV-2 so far st century However classes Hence Initially IgG receptorbinding receptor SARS-CoV- retrieved Subsequently 10 solvation Lastly dynamics Additionally way virus (SARS-CoV- SARS-CoV 1 (SARS-CoV

ABSTRACT BACKGROUND: Studies have shown an association between the clinical severity of coronavirus disease (COVID-19) and sociodemographic and clinical variables in older adults. However, few studies have described the explanatory factors of the relationship between these variables and the clinical severity of COVID-19 using structural equation modeling. OBJECTIVE: To analyze the factors directly and indirectly associated with the clinical severity of coronavirus disease (COVID-19) among older adults in Minas Gerais, Brazil. DESIGN AND SETTING: Retrospective epidemiological study. METHODS: This study included 51,141 elderly adults with COVID-19 living in Minas Gerais, Brazil. Data were collected through the Individual Registration Form – Hospitalized Cases of Severe Acute Respiratory Syndrome from January 28, 2020, to January 27, 2022. RESULTS: Older age (P < 0.001), male sex (P < 0.001), dyspnea (P < 0.001), change in chest X-ray examination findings (P < 0.001), greater number of risk factors/comorbidities (P < 0.001), and longer hospitalization time (P < 0.001) were directly associated with the clinical severity of COVID-19. Female sex, mediated by the greater number of risk/comorbidity factors (β = -0.02, P < 0.001), and younger age, mediated by longer hospitalization time (β = -0.01; P < 0.001), were indirectly associated with the clinical severity of COVID-19. CONCLUSION: Demographic and clinical variables were directly associated with increased disease severity. In addition to the direct effect, a greater number of risk/comorbidity factors and longer hospitalization time mediated the association between demographic variables and outcomes. BACKGROUND COVID19 COVID 19 (COVID-19 However COVID-1 modeling OBJECTIVE Gerais Brazil SETTING METHODS 51141 51 141 51,14 28 2020 27 2022 RESULTS 0.001, 0001 0.001 , 0 001 Xray X ray factorscomorbidities comorbidities COVID19. 19. riskcomorbidity comorbidity β 0.02, 002 02 -0.02 0.01 01 -0.01 CONCLUSION effect outcomes COVID1 1 (COVID-1 COVID- 5114 5 14 51,1 2 202 000 0.00 00 0.02 -0.0 0.0 (COVID- 511 51, 20 -0. 0. (COVID -0 -

In Suid-Afrika het deurlopende uitdagings met werkloosheid daartoe gelei dat baie individue geleenthede in die informele sektor soek in 'n poging om 'n bestaan te maak. Die aanvang van die COVID-19-pandemie het regeringsinperkingsmaatreëls tot gevolg gehad, wat kwesbare werkers in hierdie sektor wesenlik beïnvloed het. Hierdie studie het die subjektiewe welstand van informele dagarbeiders tydens die pandemie ondersoek, met 'n spesifieke fokus op dagarbeiders in Johannesburg. Deur 'n steekproef wat uit 230 individue bestaan het, te ontleed, het ons die wisselwerking tussen indiensneming, inkomste en welstand ondersoek, met inag-neming van hul strukturele kwesbaarheid vir eksterne skokke. Hierdie navorsing vul veral 'n kritieke leemte, aangesien geen vorige studies die welstand van arbeiders in die informele sektor in die Suid-Afrikaanse konteks te midde van die pandemie ondersoek het nie. Die studie het alternatiewe inkomstemoontlikhede ondersoek, en die doeltreffendheid van die regering se maatskaplike bystandprogramme en die toereikendheid van ondersteuning wat aan kwalifiserende ontvangers daarvan verskaf word, geëvalueer. Dit verskaf dus 'n omvattende profiel van dagarbeiders wat daarop gemik is om beleidsinisiatiewe in te lig om sosiale en ekonomiese ondersteuning vir werkers in die informele sektor regoor Suid-Afrika te versterk.

In South Africa, persistent challenges with unemployment have led many individuals to seek opportunities in the informal sector. The onset of the COVID-19 pandemic prompted governmental lockdown measures, significantly impacting vulnerable workers within this sector. A classic example of an informal wage employment activity is the presence of tens of thousands of men and women who congregate on South Africa's street corners, next to traffic lights, other work-related businesses and in front of hardware stores - hoping to find temporary employment for a day or days from passing motorists or customers frequenting the shops mentioned above. According to the literature, day labourers in South Africa are among the most marginalised and vulnerable groups in the broader informal economy. This study delved into the subjective wellbeing (SWB) of informal wage labourers during the pandemic, with a specific focus on day labourers in Johannesburg. By analysing a sample comprising 230 individuals, we examined the interplay between employment, income, and SWB, considering their susceptibility to external shocks with specific reference to the COVID-19 pandemic. Notably, this research fills a critical gap, as no prior studies have explored the wellbeing of informal sector labourers in the South African context amid the pandemic. Following the approach employed by previous international and South African studies, a mainly quantitative design with a survey-based instrument was used. The day labour research population was defined as people congregating at informal hiring sites such as street corners, next to traffic lights, or in front of job-related businesses such as hardware stores in Johannesburg, hoping to find temporary employment for the day or several days. Fieldworkers for the study were recruited from students who had completed their studies in Johannesburg and did not yet have permanent employment at the time of the research. Given the COVID-19 limitations that were in place, training for the fieldwork was carried out during Zoom meetings. The fieldwork to collect the data was carried out over a period of two weeks at the end of October 2021. The analysis encompassed descriptive statistics and an ordered probit model to explore the determinants of SWB within the sample. In the context of South Africa, the literature on SWB underscores the statistically significant associations between SWB and variables such as gender, education, children, marital status, employment, and income. The empirical model used in this study utilised the above factors for day labourers in Johannesburg. The ordered probit model also considered the ordered nature of the dependent variable. In terms of the demographic results, all participants were male and the majority of day labourers interviewed (over 41%) fell within the 31-40 age bracket. Regarding relationship status, 59.2% of respondents were involved in some form of partnership (married or cohabiting). The average number of dependents relying on respondents' incomes was four, ranging from zero to 15, inclusive of spouses, children, and parents. On average, respondents had two children, with the number of dependent children ranging from zero to eight. The regression results show that the SWB of day labourers was influenced by various demographic, employment, and employment-seeking history variables that are also significant in other studies in the field of SWB. The vulnerability of these labourers was emphasised through the model's confirmation that several income variables significantly influenced their SWB. Day labourers are structurally vulnerable, with nothing to fall back on during exogenous shocks like the COVID-19 pandemic. Although the South African government tried to assist vulnerable parties by providing a COVID-19 grant, the results showed that many did not apply because they were not South African citizens, had already received another social grant, or did not possess the necessary documents to apply for it. Some respondents did not apply because they felt it was not worthwhile for such a minimal amount of money. It was also shown that the effects of the pandemic are continuing. The majority of day labourers in the sample earned less at the time of data collection (October 2021) than in pre-COVID-19 times. No less than 95% of respondents now earned less than before the pandemic, while only 1% reported earning more than pre-pandemic levels. This underscores the disproportionate and enduring impact of exogenous shocks like the COVID-19 pandemic on vulnerable labour force segments. The findings represent a call to policy makers to prioritise the mitigation of the impact that future exogenous shocks may have on vulnerable groupings such as day labourers.

Resumen Introducción: La decadencia de la democracia ha provocado un aumento de las protestas políticas en todo el mundo, pero incluso cuando las personas perciben que su situación es injusta, algunas no actúan. Proponemos que la justificación del sistema y la indefensión aprendida son factores relevantes para explicarlo. Objetivo: Probar un modelo de acción colectiva que considera factores de inacción. Método: A través de modelos de ecuaciones estructurales, estimamos modelos con datos de 961 brasileños, las variables fueron medidas por medio de instrumentos de autoinforme, como las escalas de Acción Colectiva, la Escala General de Justificación del Sistema, la Escala de Percepción de Justicia Social, la Escala de Afectos Positivos y Negativos y la Escala de Indefensión Aprendida. Resultados: Los modelos tuvieron un buen ajuste y apoyaron el efecto de derogación de la justificación del sistema en la acción colectiva, pero solo corroboraron parcialmente la asociación predicha entre indefensión

Abstract Introduction: The decay of democracy has led to a growth in political protests worldwide, but even when people perceive their situation as unfair, some do not act. We propose that system justification and learned helplessness are relevant factors in explaining this. Objective: To test a model of collective action that considers factors of inaction. Method: Through structural equation modelling, we estimated models with data from 961 Brazilians, variables were measured through self-report instruments, such as Collective Action scales, the General System Justification Scale, the Social Justice Perception Scale, the Positive and Negative Affect Scale, and the Learned Helplessness Scale. Results: The models had a good fit and supported the derogation effect of system justification on collective action, but only partially corroborated the predicted association between learned helplessness and collective action. In the Multigroup Model, we found that people who hold weaker political motivations are more prone to inaction through learned helplessness. Discussion: Our findings point to the risk of relative deprivation in generating learned helplessness, which may contribute to inaction and social isolation.

Resumen El presente artículo establece la relación de influencia entre la motivación y satisfacción de los visitantes del desierto de la Tatacoa en la región Surcolombiana. La investigación fue de corte cuantitativa, con un abordaje desde el método deductivo y de tipo descriptiva. Así, se elaboró una encuesta con preguntas tipo Likert compuesta por nueve dimensiones para motivación y seis dimensiones para satisfacción. La confiabilidad del modelo se midió con el alfa de Cronbach y la validez con el Análisis Factorial Confirmatorio, los dos obtuvieron niveles aceptables. La evaluación del modelo hipotetizado se realizó mediante ecuaciones estructurales. El modelo obtenido evidenció una relación positiva y significativa entre motivación y satisfacción (0.751; p < 0.00) denotando que, a mayor nivel de motivación, mayor será el nivel de satisfacción de los turistas, nacionales y extranjeros. De otra parte, sobresalen las correlaciones en las dimensiones de motivación de Descanso (D) (0,848; p < 0,00), Conocimiento (C) (0,786; p < 0,00), Acceso e Infraestructura (A-I) (0,829; p < 0,00) y Atractivos locales (A) (0,787; p < 0,00), mientras para la satisfacción fueron Economía (Ec) (0,811; p < 0,00) e Infraestructura (In) (0,797; p < 0,00). JEL: L83; M31; Z30, Z32; Z39

Abstract This article establishes the relationship of influence between the motivation and satisfaction of visitors to the Tatacoa desert in the Surcolombian region. The research was quantitative, with a deductive and descriptive approach. Thus, a survey was elaborated with Likert-type questions composed of nine dimensions for motivation and six dimensions for satisfaction. The reliability of the model was measured with Cronbach's alpha and the validity with the Confirmatory Factor Analysis, both of which obtained acceptable levels. The hypothesized model was evaluated using structural equations. The model obtained showed a positive and significant relationship between motivation and satisfaction (0.751; p < 0.00), indicating that the higher the level of motivation, the higher the level of satisfaction of domestic and foreign tourists. On the other hand, the correlations in the motivation dimensions of Rest (D) (0.848; p < 0.00), Knowledge (C) (0.786; p < 0.00), Access and Infrastructure (A-I) (0.829; p < 0.00) and Local Attractions (A) (0.787; p < 0.00), while for satisfaction they were Economy (Ec) (0.811; p < 0.00) and Infrastructure (In) (0.797; p < 0.00). JEL: L83; M31; Z30, Z32; Z39

Resumo Este artigo estabelece a relação de influência entre a motivação e a satisfação dos visitantes do Deserto de Tatacoa na região Surcolombiana. A pesquisa foi quantitativa, com uma abordagem dedutiva e descritiva. Assim, foi elaborada uma pesquisa com perguntas do tipo Likert, composta de nove dimensões para motivação e seis dimensões para satisfação. A confiabilidade do modelo foi medida com o alfa de Cronbach e a validade com a análise fatorial confirmatória, ambas com níveis aceitáveis. O modelo hipotético foi avaliado por meio de equações estruturais. O modelo obtido mostrou uma relação positiva e significativa entre motivação e satisfação (0,751; p < 0,00), indicando que quanto maior o nível de motivação, maior o nível de satisfação dos turistas nacionais e estrangeiros. Por outro lado, destacam-se as correlações nas dimensões de motivação de Descanso (D) (0,848; p < 0,00), Conhecimento (C) (0,786; p < 0,00), Acesso e Infraestrutura (A-I) (0,829; p < 0,00) e Acesso e Infraestrutura (A-I) (0,829; p < 0,00); p < 0,00) e Atratividade local (A) (0,787; p < 0,00), enquanto para satisfação foram Economia (Ec) (0,811; p < 0,00) e Infraestrutura (In) (0,797; p < 0,00). JEL: L83; M31; Z30, Z32; Z39

ABSTRACT This research work seeks to qualitatively analyze how the most recent model of organizational design, "the network organizational structure", becomes an ideal strategic, structural and operational option for the internationalization activities of companies in Bogota focused on the design and organizational dynamics of interdependent relationships. For this purpose, two categories of analysis were used: the first one is called organizational conditioning factors and its indicators will be empowerment, teamwork, people orientation, results orientation, responsibility, attitude to change and useful mechanisms from the point of view of organizational culture.

RESUMEN El presente trabajo de investigación busca analizar cualitativamente cómo el más reciente modelo de diseño organizacional, «la estructura organizacional en red», se convierte en una opción estratégica, estructural y operacional ideal para las actividades de internacionalización de empresas en Bogotá, centrado en el diseño y la dinámica organizacional de las relaciones de interdependencia. Para tal efecto se emplearon dos categorías de análisis, la primera de las cuales se denomina condicionantes organizacionales y cuyos indicadores serán el empoderamiento, el trabajo en grupo, la orientación a las personas, la orientación a los resultados, la responsabilidad, la actitud al cambio y los mecanismos útiles, desde el ámbito de la cultura organizacional.