JOURNAL OF BIOENGINEERING, TECHNOLOGIES AND HEALTH

Project: Low-Cost Articulated Bath Chair

2025-04-07T03:09:18+00:00

The project developed a prototype of an articulated bath chair using PVC pipes and 3D-printed components, aiming to meet the accessibility needs of older people. The applied methodology included market research, document analysis of accessibility standards (ABNT NBR 9050/2021), and three-dimensional modeling in Fusion 360 software. The use of additive manufacturing was essential for creating customized components, such as locks, which ensured the prototype's safety and functionality. The result was a low-cost, adaptable, and safe product, ready to be tested in a real environment, with the potential to improve the quality of life for older people and contribute to innovative practices in assistive technology.

Comparative Prospection of Bioethanol Production from Musa spp. Residues

2025-04-07T03:09:07+00:00

The present study explores the feasibility of bioethanol production using banana residues, focusing on its potential contribution to second-generation bioethanol. The research investigates the comparative prospecting of bioethanol production from different Saccharomyces cerevisiae strains, employing methods such as enzymatic hydrolysis and alcoholic fermentation. Results indicate the viability of utilizing banana residues for bioethanol production, highlighting its potential for sustainable fuel production. The findings underscore the importance of harnessing abundant agricultural byproducts for renewable energy generation, with implications for both theoretical and practical biofuel applications.

Determination of Chromosome Number and Ploidy Level in Five Species of Agave from Mexico

2025-04-07T03:08:56+00:00

Cytogenetic analysis was carried out on five species of Agave genus collected in Mexico. Meristematic root cells were analyzed cytogenetically using a modified steam-drop method for chromosome counting. The analysis showed that in A. guiengola, A. geminiflora, A. attenuata, and A. victoriae-reginae species, the chromosome number was 2n=60 with bimodal karyotypes composed of five pairs of large chromosomes and 25 pairs of small chromosomes. On the other hand, A. salmiana also showed a bimodal karyotype consisting of 30 large + 150 small chromosomes. Considering the basic number x=30, A. salmiana is a hexaploid species (2n=6x=180), whereas the other four species analyzed are diploid (2n=2x=60). This is the first report on the chromosome number of A. guiengola.

Comparative Assessment for Forage Palm and Agave sisalana Biomass for Sustainable Biofuel Production

2025-04-07T03:08:43+00:00

In recent years, interest in semiarid biomass has surged. This study examines the physical-chemical properties of Opuntia fícus indica Mill (Palma forrageira) and Agave sisalana Perrine (Agave sisalana). This study aimed to characterize these biomasses by analyzing key structural components: moisture content, ash content, cellulose, hemicellulose, and lignin. The results reveal that Opuntia fícus indica Mill contains 78.65% moisture, 3.65% ash, 54.11% cellulose, 18.60% hemicellulose, and 21.08% lignin. In contrast, Agave sisalana Perrine exhibits 82.36% moisture, 11.65% ash, 63.39% cellulose, 5.80% hemicellulose, and 18.67% lignin. Forage Palm, with its higher cellulose and hemicellulose content, may be better suited for biofuel production. Meanwhile, Agave's elevated ash content warrants consideration when evaluating its combustion quality and energy yield. Balancing lignin levels in both biomasses is crucial for efficient utilization.

Analysis of the Main Production Routes of Biomethane and Dimethyl Ether (DME) from Biomass

2025-04-07T03:08:33+00:00

The present work comprehensively analyzes the technologies and processes involved in producing dimethyl ether (DME), from biomass gamification to biomethane synthesis. For this purpose, the technical aspects of the operational parameters must be addressed. This study aims to analyze the efficiency and technical feasibility of the main production routes of DME using biomass. The method used in this work is based on a comparative analysis of the significant DME production roads, comparing them through a systematic bibliographic review. The results suggest using more efficient routes, focusing on greater efficiency, biomethane quality, selectivity, and CO₂ reduction.

Biomethane Production from Cassava Juice: The Usage of Manipueira as Biomass

2025-04-07T03:10:22+00:00

With the growing demand for alternative energy sources and environmental sustainability, waste biomass has gained prominence in the energy sector due to its wide availability. This study analyzes the production of biomethane from manipueira, a toxic and highly polluting byproduct of cassava processing, and evaluates its potential as an energy source. A biodigester was used to monitor manipueira temperature and gas production over 11 days to assess biomethane generation. The process yielded 91 mL/L of biomethane, demonstrating its viability as a biomass energy source. Additionally, the low production cost reinforces the feasibility of utilizing manipueira for sustainable energy generation.

Study of the Applicability of pH Mediators in Bioplastic Formulations for Use in Food Packaging

2025-04-07T03:10:14+00:00

This work proposes the manufacture of bioplastics for food packaging using starch, carboxymethylcellulose, and green coconut waste (Cocos nucifera), with the addition of acid-base mediators to indicate the pH of the food. The method was based on experimental research, in which films were produced using the casting technique and incorporated mediators at a concentration of 1% (v/v). The results showed a high percentage of solubility, with an average of 95.09%, and low moisture content on a dry basis, with an average of 0.95%, and presented visually noticeable colorimetric changes in the pH ranges from 2 to 9. The research highlights the importance of using biodegradable materials and valorizing waste, which aligns with circular economy and sustainability practices.

Carbon Credit Market: A Comparative Analysis of Consolidation in Brazil and the World

2025-04-07T03:10:05+00:00

The carbon credit market has established itself as an essential mechanism for mitigating climate change. Its relevance is evidenced by the persistent growth in annual project submissions, reflecting global engagement in sustainable initiatives. This article aims to analyze the number of submissions of carbon credit projects in Brazil over the years and the performance of other countries, seeking to identify submissions and stratify them according to the type of market, the most active certification companies, the type of project, and the Brazilian regions most active in these initiatives. The methodology used was document analysis and bibliographical research through certification databases and studies that dealt with the topic.

Image-Based Underwater Liquid Leak Detection and Transfer Learning

2025-04-07T03:09:56+00:00

This paper addresses the critical challenge of liquid leaks in the oil and gas industry by leveraging advanced computer vision and deep learning methodologies. The objective is to develop practical models for detecting underwater objects with low image quality in adverse conditions. We train and test CNN detectors using Facebook's Detectron2 Faster R-CNN. The model was evaluated on a custom dataset of underwater oil spill videos, focusing on detection accuracy and processing speed. The results demonstrated that even using images of smoke in the sky as training made it possible to detect the underwater oil leak accurately.

Enhancing Neural Network Performance for Water Quality Forecasting with Principal Component Analysis in Intensive Aquaculture

2025-04-07T03:09:47+00:00

This work investigates the application of Principal Component Analysis (PCA) to enhance the performance of a neural network regression model for water quality forecasting in intensive aquaculture. The dataset from an intensive cultivation study includes daily readings of controlled pond biochemical parameters. The standard and PCA-enhanced models had their performance evaluated based on the MSE, MAE, and R². The results demonstrate that the model incorporating PCA outperformed the standard model. The PCA model achieved lower training and testing MSEs, with a notable reduction in MAE. These findings highlight the effectiveness of PCA in improving the accuracy and efficiency of neural network models by reducing dimensionality and emphasizing the most informative features.

Neural Networks for Classification and Regression Applied to Public Lighting Project

2025-04-07T03:11:34+00:00

This paper explores using neural networks to evaluate public lighting projects according to Brazilian Standard 5101/2018. Employing Multilayer Perceptron (MLP) models, the study performs regression to predict illuminance, uniformity, and classification to assess compliance with the standard. The regression model achieved a mean squared error (MSE) of 0.002. The classification model attained an accuracy of 97.26%, with a precision of 97.0%, a recall of 96.5%, and an F1-score of 96.7%. These results underscore the effectiveness of MLP networks in improving compliance evaluation and optimizing public lighting projects.

Panda Manipulator Control with Obstacle Avoidance Through Reinforcement Learning in a Simulated Environment

2025-04-07T03:11:24+00:00

Robotic systems with learning capabilities have many powerful applications in unstructured environments. Through reinforcement learning, robots can quickly adapt to new situations and learn from direct environmental interaction. This work proposes a simulation environment based on Robotics Toolbox for Python to solve a classic problem of the inverse kinematics of manipulators, ensuring that the robot reaches the desired position without colliding with the obstacles present in the scene. The potential of this reinforcement learning method is illustrated through simulation using the Franka-Emika Panda manipulator trained by the Deep Deterministic Policy Gradient algorithm.

Bibliometric Review on Planters and Transplanters

2025-04-07T03:11:16+00:00

This bibliometric review article aims to analyze scientific publications on various types of planting equipment, focusing on technological advances and emerging research areas. Data was collected from academic databases. The analysis covered articles from 1993 to 2023, identifying citation patterns, key authors, institutions, and countries involved. Results indicate a significant rise in publications, especially precision equipment and sustainable technologies. China and the USA lead in publications, with India and Brazil following. Interdisciplinary collaboration between agricultural engineers and data scientists is raising and promoting advancements. In conclusion, research on planting equipment is rapidly evolving, driven by the need for increased efficiency and sustainability in agriculture.

The Role of Enzymes in an Efficient Ethanol Production: A Review and Technological Prospection

2025-04-07T03:11:07+00:00

This work reviews the literature on the use of enzymes in ethanol production. The bibliographic survey was carried out using the Web of Science (WoS) database, where advanced search techniques were applied with relevant keywords and Boolean operators. Articles published between 2015 and 2024 were selected, focusing on "Biotechnology Applied Microbiology'' and "Energy Fuels". In total, 182 articles were analyzed using the Vosviewer software to build bibliometric networks. The results highlight the importance of enzymes as biocatalysts that increase the efficiency of ethanol production and explore technologies that can be implemented in industries to increase efficiency and reduce costs.

Review of Techniques for Measuring and Monitoring Seabed Subsidence

2025-04-07T03:10:58+00:00

Underwater subsidence is an event present in several petroleum exploration areas. Early detection of these events minimizes environmental consequences and improves the exploration region's geomechanical model. This material reviews works that present solutions for monitoring and measuring underwater subsidence. It was identified that most techniques use pressure data to monitor the subsidence occurrences, and some use inclination data. The identified techniques include data treatment: for pressure data, a 14 data average, and using a local measurement as a reference, and for inclination data, Kalman filter and integration of angles. It was concluded that using pressure data with a local reference offers the best accuracy.

Detection Methods in CV-QKD System: A Systematic Literature Review

2025-04-07T03:10:49+00:00

Continuous Variable Quantum Key Distribution (CV-QKD) aims to strengthen communications security by using quantum mechanics to protect encryption against eavesdropping. In this context, the effective detection of quantum states is a crucial factor for the performance and security of CV-QKD systems. In order to provide a current and concise overview of the detection methods used in experimental CV-QKD setups, 42 articles published between 2019 and 2024 were selected and analyzed. As a result, trends were identified, such as the temporal evolution of publications and the predominant detection method. In summary, CV-KD detection studies have shown an upward trend over the last five years and are promising for the future of communications security.