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Dynamic adaptive capacity of metalworking companies in Barranquilla - Colombia: analysis from the export process in the 4.0 Era
No full textThis article presents a methodology for analyzing the Dynamic Adaptive Capacity in the Export Process of metal-mechanical Small and medium-sized enterprises (SMEs) in Barranquilla - Colombia. In the new environments that are being developed in the 21st century, companies in different sectors have had the need to implement mechanisms that allow them to be able to face the constant changes that exist in the environment, especially in the 4.0 era. For its development, research of a documentary nature is proposed, which aims through the reports presented by four key informants that are part of 4 SMEs of the metal-mechanic sector in the city of Barranquilla, Colombia and are in charge of the export process. This establishes the following categories of analysis: strategic flexibility, intellectual flexibility, digital governance, leadership in virtual environments, technological resources and resilience. Due to this study, it was possible to recognize that based on the results of the qualitative analysis of the six dimensions of dynamic adaptive capacities (strategic flexibility, intellectual flexibility, resilience, leadership, resources and governance), a content analysis can be established, making possible to filter the main qualitative categories associated with flexibility, exporting, international, capacity, dynamics, adaptation, leadership, innovation, organization, resources, solutions, strategic, markets and SMEs
An intent classification method for questions in "Treatise on Febrile diseases" based on TinyBERT-CNN fusion model
No full text"Treatise on Febrile Diseases" is an important classic book in the academic history of Chinese material medica. Based on the knowledge map of traditional Chinese medicine established by the study of "Treatise on Febrile Diseases", a question-answering system of traditional Chinese medicine was established to help people better understand and use traditional Chinese medicine. Intention classification is the basis of the question-answering system of traditional Chinese medicine, but as far as we know, there is no research on question intention classification based on "Treatise on Febrile Diseases". In this paper, the intent classification research is carried out based on the Chinese material medica-related content materials in "Treatise on Febrile Diseases" as data. Most of the existing models perform well on long text classification tasks, with high costs and a lot of memory requirements. However, the intent classification data of this paper has the characteristics of short text, a small amount of data, and unbalanced categories. In response to these problems, this paper proposes a knowledge distillation-based bidirectional Transformer encoder combined with a convolutional neural network model (TinyBERT-CNN), which is used for the task of question intent classification in "Treatise on Febrile Diseases". The model used TinyBERT as an embedding and encoding layer to obtain the global vector information of the text and then completed the intent classification by feeding the encoded feature information into the CNN. The experimental results indicated that the model outperformed other models in terms of accuracy, recall, and F1 values of 96.4%, 95.9%, and 96.2%, respectively. The experimental results prove that the model proposed in this paper can effectively classify the intent of the question sentences in "Treatise on Febrile Diseases", and provide technical support for the question-answering system of "Treatise on Febrile Diseases" later
Application of ozone to enhance the defluoridation property of activated alumina: a novel approach
No full textDrinking water containing high fluoride concentrations may lead to serious health problems. Thus, aiming at water defluoridation through adsorption, several adsorbent materials have been studied worldwide. Due to its low cost and selectivity for fluoride ions, activated alumina (AA) is one of the most applied materials. At the same time, AA has low adsorption capacity, the pH of the aqueous solution must be less than 6.0 for fluoride adsorption, and it requires a long contact time to reach adsorption equilibrium. This study investigated the use of ozone to enhance the defluoridation property of AA. For this purpose, AA was treated under various ozonation conditions. Subsequently, the ozone-treated AA (OAA) samples were applied to adsorb fluoride from an aqueous solution. The influence of some ozonation parameters (AA concentration, pH, and contact time) was evaluated by carrying out adsorption experiments under fixed conditions. As a result, by full-factorial central composite rotational design (CCRD) and response surface methodology (RSM), it was found that the effect of initial pH during the ozonation is negligible on improving the defluoridation property of AA. At the same time, the decrease of AA concentration in the ozonation system significantly enhances the defluoridation property of AA. For example, the ozonation of 10 g L−1 of AA at a pH of 7.0 increased the fluoride removal efficiency of this material from 77.4% to 98.3%. Finally, the analysis of the ozonation time (0–120 min) showed that 90 min are sufficient to promote a significant rise in the fluoride removal efficiency of AA (from 78.3% to 97.4%). AA was characterized by FTIR, SEM, EDX NMR, and N2 physisorption methods to elucidate factors responsible for the increased fluoride removal efficiency when the material is ozonized
Detection of atmospheric aerosols and terrestrial nanoparticles collected in a populous city in southern Brazil
No full textThe main objective of this study is to analyze hazardous elements in nanoparticles (NPs) (smaller than 100 nm) and ultrafne particles (smaller than 1 µm) in Porto Alegre City, southern Brazil using a self-made passive sampler and Sentinel-3B SYN satellite images in 32 collection points. The Aerosol Optical Thickness proportion (T550) identifcation was conducted using images of the Sentinel-3B SYN satellite at 634 points sampled in 2019, 2020, 2021, and 2022. Focused ion beam scanning electron microscopy analyses were performed to identify chemical elements present in NPs and ultrafne particles, followed by single-stage cascade impactor to be processed by high-resolution transmission electron microscopy. This process was coupled with energy-dispersive X-ray spectroscopy and later analysis via secondary ion mass spectrometry. Data was acquired from Sentinel-3B SYN images, normalized to a standard mean of 0.83 µg/mg, at moderate spatial resolution (260 m), and modeled in the Sentinel Application Platform (SNAP) software v.8.0. Statistical matrix data was generated in the JASP software (Jefreys’s Amazing Statistics Program) v.0.14.1.0 followed by a K-means cluster analysis. The results demonstrate the presence of between 1 and 100 nm particles of the following chemical elements: Si, Al, K, Mg, P, and Ti. Many people go through these areas daily and may inhale or absorb these elements that can harm human health. In the Sentinel-3B SYN satellite images, the sum of squares in cluster 6 is 168,265 and in cluster 7 a total of 21,583. The use of images from the Sentinel-3B SYN satellite to obtain T550 levels is of great importance as it reveals that atmospheric pollution can move
through air currents contaminating large areas on a global scale
Advancing sustainability: effective strategies for carbon footprint reduction in seaports across the colombian caribbean
No full textColombian port terminals in the Caribbean are being called upon to increase the sustainability of their operations to better fit with the environmental dynamics of their locations. Within this context, the Palermo Sociedad Portuaria (PSP) has taken a proactive stance in identifying the factors contributing to its CO2 emissions. This study evaluated the CO2 emissions of the PSP in 2019 and 2020 and, through the implementation of sustainable practices (rock dust spreading, composting and reducing the burning of fossil fuels), examined the mitigation of the port’s carbon footprint (CF) in the year 2022. Based on collaborative management results and efforts, a set of viable mitigation strategies adapted to port operations was formulated. Viability was assessed through monitoring of the practical implementations encompassing initiatives such as fuel reduction, waste composting and the application of rock dust. The introduction of the CARE system in the operational equipment led to a reduction in fuel consumption over five periods—amounting to an overall emission decrease of 1629 metric tons of CO2 equivalent (ton CO2 eq). Meanwhile, the strategic composting of waste generated by port activities (including organic waste, hand towels, coffee grounds and landscaping waste) resulted in the potential reduction of 2 metric tons of CO2 annually. The application of rock dust (10 kg m−2) in the available green spaces within the operational areas contributed to a decrease of 0.00080543 ton CO2 eq over 45 days. The implementation of these three key measures over the course of a year has the potential to prevent the release of 37 ton CO2 eq, signifying a 2% decrease in overall CF when compared to the base year of 2020. This investigation was rooted in the current operational reality of the port terminal and its correlated activities. The strategies deployed underscore the feasibility of low-cost solutions that can be emulated across port terminals in pursuit of the holistic aspirations encapsulated in the concepts of a “green port” and a “smart port”
Effect of firing temperature and mineral composition on the mechanical properties of silty clays
No full textThe physical and mechanical properties of ceramic blocks are affected by the firing process of the primary raw material, in this case, clay or clay minerals. Consequently, this study sought to characterize different types of silty clays for ceramic block production and determine the effect of firing time and mineral content on their mechanical and physical properties. Characterization was conducted in two stages: pre and post-firing. Pre-firing evaluations were granulometric distribution, Attenberg limits, chemical composition, mineral composition and thermal behavior. Post-firing evaluation made use of 30 specimens subjected to temperatures of 800 °C, 900 °C and 1,000 °C. Results showed that firing temperatures greatly affected mechanical properties. Higher burn temperatures increased tensile strength and reduced water absorption while causing linear shrinkage. This increase in shrinkage raised the possibility of damage to the ceramic material and reduction of overall quality
Effect of speed and hull length on the hydrodynamic performance of a semi-planing hull of a shallow-draft watercraft
No full textHydrodynamic performance is an essential factor in the design of a watercraft, and the navigation scenario determines the complexity of its operation. This study aims to identify the effect of speed and length on the hydrodynamic behavior of a semi-planing watercraft in shallow waters. A computational fluid dynamics tool was employed to predict the trim, heave, and resistance parameters of two different hulls: a base hull and a craft with an increased hull length. The two hulls had similar hydrodynamic characteristics. The effects of speed and hull length on these predicted parameters obtained for the two hulls were compared. The results showed a low resistance uncertainty and a reduction in dynamic trim for longer hull lengths. These findings highlight the importance of considering balance and dynamic trim in designing shallow-draft watercrafts to ensure an optimal performance in specific conditions, such as rivers with depth restrictions
Ensure the generation and processing of inventory transactions through a web application for ground freight transportation equipment
No full textAs its general objective, the present investigation had to ensure the generation and processing of inventory transactions, along with the operating procedures that will enable its processing. The software was developed in the form of a responsive web application. The organization didn't have an operational model of systematized inventory transactions, and this is what is proposed in this investigation. The methodology for the development of the software product is the "Boehm's Spiral" model since it fits perfectly with the context of the project. For this project four cycles were identified:1) User administration module. 2) Request generation module: Requests Related to a work order. Requests not related to a work order. Request without consumption voucher. 3) View entered request. 4) Processing Module requests: Requests related to a work order. Requests not related to a work order. Request without consumption voucher. The final purpose was the development of a responsive application to facilitate the processing of inventory transactions
Discussion of the aspects of the cultural and creative industries that impact on sustainable development: a systematic review
No full textThe cultural and creative industries (CCIs), which are part of the orange economy, have been increasingly recognized throughout history, which has led several nations around the world to include them as part of their economic strategies, despite the fact that their benefits transcend to other areas such as social and environmental, demonstrating that they can contribute to the achievement of sustainable development, Thus, this article focuses on the elaboration of a bibliometric analysis and a systematic review to assess the status and evolution of research associated with cultural and creative industries and sustainable development, as well as the positive impacts of these industries on this development model and the aspects and recommendations to be taken into account to promote their implementation. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols (PRISMA) was used as a methodological reference. The results indicate multiple impacts of CCIs such as technological innovation, social cohesion, regeneration of urban life, among others. Asian and European regions are also highlighted as the most advanced in terms of scientific production on this topic
Decision tree as a screening tool for the diagnosis of the metabolic syndrome without doing a blood test
No full textMetabolic Syndrome (MetS) is a pathology with a high probability of triggering the onset of diabetes, coronary heart disease, and other diseases. So, the more the data is analyzed, the closer it will be to finding a way to prevent or delay the occurrence of its atrocious results. Thus, the medical community is doing prevalence studies in several populations to analyze it. However, the cost of doing a blood test increases the budget. This article presents a screening tool to diagnose the MetS without doing a blood test using a decision tree model with the data of 615 subjects of a study conducted in Colombia anthropometric. We created a new decision tree and used the random subsampling technique to validate the proposed model to compare with other decision trees found in the art of state process. We proposed an excellent decision tree with the best Area under Receiver Operating Characteristic (AROC) of 82,58% that uses sex, waist perimeter, hip perimeter, systolic pressure, and diastolic pressure variables to predict the Metabolic Syndrome's diagnosis with the Harmonized Metabolic Syndrome. standard. Therefore, we invite using this model as a screening tool to diagnose the MetS early in a medical consultation or prevalence study. © 2023, Centre for Environment and Socio-Economic Research Publications. All rights reserved