This study advances critical insights into the governance dynamics of UNESCO World Heritage sites, interrogating how state-driven tourism policies prioritize mass visitation economies while systematically marginalizing community agency in heritage management. Focusing on Mexico’s Pre-Hispanic City of Teotihuacán—a monumental archaeological complex inscribed on the World Heritage List in 1987—and its adjacent Pueblos Mágicos (Teotihuacán and San Martín de las Pirámides), the research unravels the paradoxical coexistence of global heritage prestige and localized sociocultural disenfranchisement. As a nexus of Mesoamerican civilization and contemporary neoliberal tourism, Teotihuacán offers a seminal case for analyzing the tensions between preservation mandates, economic exploitation, and participatory governance in Latin America. Employing an exploratory mixed-methods approach, the study synthesizes qualitative data from semi-structured interviews with policymakers, heritage administrators, and local stakeholders, alongside critical discourse analysis of tourism legislation and UNESCO operational guidelines. This methodology reveals how institutionalized "topdown" frameworks—epitomized by Mexico’s Programa Pueblos Magicos (PPM)— instrumentalize cultural heritage as a marketable commodity, privileging infrastructural investments in mass tourism hubs (e.g., visitor centres, souvenir corridors) over inclusive community development. While UNESCO’s designation reinforces the site’s scientific and symbolic capital, the PPM’s neoliberal ethos transforms intangible heritage into consumable experiences.

Pseudomonas aeruginosa is an opportunistic gram-negative bacterium with ability to grow in different conditions and infect various hosts [1]. It is a non-fermentative aerobic, motile and normally lives in moist environment but can adapt easily to various conditions. Due to its staggering versatility and metabolic flexibility in using wide types of organic compounds for its growth and development, in addition to its ability to form biofilm [2], it has superior capability to colonize a broad range of ecological sites including detergents and disinfectants and infect most eukaryotes [3 -6]. Infections due to Pseudomonas aeruginosa are difficult to be eradicated as a result of its intrinsic resistance as well as acquired resistance to different available antibiotics [3, 7]. This opportunistic pathogen readily acquires resistance to multiple drugs and infects mainly immunocompromised individuals leading to severe nosocomial infections [8], chronic respiratory infections in cystic fibrosis patients [1, 9-13], and chronic infections in patients with bronchiectasis or chronic obstructive pulmonary disease (COPD) [14]. In addition to environmental sites, Pseudomonas aeruginosa was also detected in pharmaceutical products, surgical environments, materials and equipment, and implicated in urinary tract infections (UTI) that mainly acquired by catheterization [8, 15, 16], and keratitis in contact lens users [17]. Pseudomonas aeruginosa isolates, which considered as a critical health hazard, are quite susceptible to microenvironmental pressure and as a result, each population of Pseudomonas aeruginosa carries a large amount of variations in antimicrobial susceptibilities [18]. This might lead to difficulties in choosing a representative isolate and basing the therapeutic policies accordingly. Therefore, it is necessary to investigate clinical, environmental and fomites for possible presence of multidrug-resistant Pseudomonas aeruginosa and other problematic microorganisms. In this study, both phenotypical and the more advance 16SrRNA gene sequencing methods were applied for detection of Pseudomonas aeruginosa in Sudanese paper currency notes, which considered to be one of the most circulating items among communities and as a potential source of infections.

This study introduces EGARCH-Copula models to show the conditional dependence structure for both average and extreme behavior. For this analysis, we used four rainfall series for station St. Pierre, St. Severin, St. Flavien and Scott and two streamflow series at station Bras D’Henri and Beaurivage. Both average and dependence structure has been captured through the best selected static and time varying copula models. The time varying SJC (Symmetrized Joe-Clayton) copulas performing best in all pairs of rainfall and runoff series. The Rainfall-Runoff time series have extreme upper and lower tail dependence which illustrating if there is an increase or decrease rainfall then streamflow is affected in same way. Further, positive correlation existed among all pairs of rainfall-runoff series as observed from both normal and student-t copula parameters. Which indicate that as rainfall increases (or decreases) streamflow also increases (or decreases).

This study was administered to set down the effects of lead (Pb) (0, 25, 50, 75, 100 mg L-1) on soybean (Glycine max L.) growth parameters and biochemical responses in controlled climate chamber conditions. Growth and biochemical enzyme activity parameters of soybean plants were changed under heavy metal stress conditions. Pb content of soybeans increased with high concentration. Pb stress conditions negatively affected plant growth, photosynthetic activity and chlorophyll content. The negative effect of heavy metal was greater with increasing Pb doses. Pb applications significantly increased antioxidant enzyme activities. In addition, more malondialdehyde (MDA), hydrogen peroxide (H2O2) and proline were found in heavy metal stressed plants compared to control plants. This study showed that soybean plants develop defense mechanisms against heavy metal stress by regulating enzyme activity and osmolite deposition.\nThe goal of this study is to determine the state of resistance of Arısoy and Atakişi soybean cultivated in our country to heavy metals. In this study, both the tolerance conditions of heavy metals were determined, and the impact of enzyme activities on ion exchange were set out.

It has been observed that resistance towards antimicrobial agents increased remarkably among Salmonella strains. The present study aimed to determine the resistance profile of fifteen antimicrobial agents on forty-seven Salmonella isolates recovered from different environmental samples in Mosul, Iraq. The results revealed the prevalence of multidrug resistant (MDR) (85%; n=40) among the tested isolates. The isolates were completely resistant (100%; n=47) to amoxicillin, ampicillin, erythromycin and lincomycin. In addition, the isolates exhibited high rate of resistance towards ciprofloxacin (34%; n=16), colistin (76.5%; n=36), streptomycin (83%; n=39) and tetracycline (68%; n=32). The resistance rate of cephalexin, gentamicin, nalidixic acid and trimethoprim-sulfamethoxazole were 57.5% (n=27), 57.5% (n=27), 44.5% (n=21) and 53% (n=25) respectively. However, the resistance rates of theses antimicrobial agents were significantly higher than that reported in other studies. On the other hand, the isolates showed high susceptibility rates towards chloramphenicol (83%; n=39), neomycin (64%; n=30) and tobramycin (70%; n=33). Interestingly, none of the tested antimicrobial agent was 100% effective against the screened Salmonella isolates. The results of this study suggest that the Iraqi Salmonella isolates recovered from environmental samples are variable in their resistance towards the standards antimicrobial agents. Moreover, the results hihlight the importance evluating the efficacy of animicrobial agents used in human and animal medicine and to moniter the emergence of MDR Salmonella and the development of drug resistance.

This research considers the third-grade liquid flow and criticality branched-chain of a thermal reaction in a Couette generalized medium with nonlinear viscosity model. A dimensionless transformation of the system momentum and heat equations are carried out. Compare with the diffusion coefficient; the flow is stimulated by initiation reaction rate, reaction branch chain order, non-Newtonian term, thermal Grashof number and pressure gradient. The reactive fluid is fully exothermic with consumption of material, and the heat exchange in the system is greater\nthan the exchange of heat with the ambient. A semi-analytical collocation weighted residual schemes is employed for the branch-chain slice bifurcation, dimensionless energy and momentum solutions. The results show that an exponential diminishes in the thermal fluid viscosity can help in controlling the boundless heat produced by Frank Kamenetskii term and initiation reaction rate. Therefore, the results will help in stimulating positive combustion processes.

This study focuses on finding the impact of communicable diseases (including COVID-19) on global supply chain operations in top exporting countries. The study uses a fixed effect panel estimation technique for data analysis which was extracted from the World Development Indicators and Statistica 2020 for 12 years ranging from 2007-2019 for nine top exporting countries. The results authenticate the anticipated view that high-risk diseases significantly impact supply chain operations globally. At the same time, manufacturing and logistic industries are also found to be significantly impacting the global trade operations. These results implicate that the overall international trade and logistics will prosper by improving the manufacturing and logistics industries by coping with the risk of pandemic diseases. The governments by paying attention to the efficiency of the customs clearance process, competence, and quality of logistics services, and ease of arranging competitively priced shipments can significantly improve the export from the logistics industry. Also by increasing manufacturing and agricultural value-added healthier outcomes can be obtained in global supply chain operations from the manufacturing industry.

Blended learning is an increasingly prevalent trend in College English acquisition. In order to study the influence of a blended learning environment to English acquisition and the differences between the high-achieving learners and the low-achieving learners for Chinese minority preparation college students in English acquisition, 80 of them are selected as the research subjects, and the research instruments of questionnaire and interview question are used to collect data. The study results show that a blended leaning environment to some degree can help learners overcome anxieties and cultivate autonomous learning abilities. In addition, high-achieving language learners are willing to ask for help from others when they encounter problems; they are able to choose their learning strategies on their own, and have the strong ability of self-learning.