Altamira Technologies

This paper presents a detection algorithm for identifying when a sinusoidal signal becomes zero, which can provide information about its amplitude. This method can be used to detect voltage interruptions in a single-phase sinusoidal waveform, which may be applied in the rapid recognition of power outages in single-phase electrical systems. The method requires the measurement of a voltage signal. Other analysis methods, like calculating the Root Mean Square (RMS), are based on window sampling and require storing a relatively larger amount of samples in the system memory; an advantage of the proposed method is that it does not require as many samples, but its main advantage is its ability to reduce the detection time compared to other approaches. Techniques like the RMS value or amplitude detection through FFT typically require one full AC cycle to change from a 100% to 0% output signal and then detect a blackout, whereas the proposed method achieves detection within only a quarter cycle without considering additional rate-of-change enhancements, which can be further applied. The algorithm treats the measured single-phase voltage as the α component of an αβ Clarke pair and generates the β component by introducing a 90° electrical delay through a delayed replica of the original signal. The resulting αβ signals are then transformed into the dq reference frame in which the d component is used for outage detection, as it rapidly decreases from 100% to 0% within a quarter cycle following an interruption. This rapid response makes the proposed method suitable for applications that demand minimal detection latency, such as battery backup systems. Both simulation and experimental results validate the effectiveness of the approach.

This paper introduces a new optimization problem-solving method based on how the stingless bee Tetragonula carbonaria builds and regulates temperature in the hive. The Tetragonula carbonaria Optimization Algorithm (TGCOA) models three different behaviors: strengthening the structure’s hive when it is cold, building combs in a spiral pattern at medium temperatures, and stabilizing the hive when it is hot. These temperature-dependent strategies dynamically balance global exploitation and local exploration within the solution space, enabling a more efficient search. To validate the efficiency and effectiveness of the proposed method, the TGCOA algorithm was tested using ten unimodal and ten multimodal benchmark functions, twenty-eight constrained problems with dimensions set to 10, 30, 50, and 100 taken from the IEEE CEC 2017, and seven real-world engineering design challenges. Furthermore, it was compared with ten algorithms from the literature. Wilcoxon signed-rank and Friedman statistical tests were performed to assess the outcomes. The results on the benchmark problems showed that the approach outperformed 80% of the algorithms at a 5% significance level in the Wilcoxon signed-rank test and ranked first overall according to the Friedman test. Additionally, in multidimensional problems, the TGCOA was ranked first in dimensions 30, 50, and 100. Moreover, in engineering problems, the approach demonstrated a high capacity to solve constraint problems, obtaining better results than the algorithms that were compared.

The increasing energy demand is driven by population growth and the needs of industries for sustainable solutions. However, current energy storage options have limitations, such as high costs and waste. Hence, we focused on creating low-cost, recyclable energy devices using wastepaper cups. Paper pulp acts as a separator, aiding air cathode reactions, whereas a Pt-coated carbon cloth cell (Pt/C) wraps around the cup. Standard paper cup biobatteries, that is, microbial fuel cells (PC-MFCs), reached a power density of 231.56 mW/m³. The results showed that the 3-PC-MFC (3 g/cm² catalyst) achieved 757 mW/m³. The 2-PC-MFC (2 g/cm²) followed with a value of 229.56 mW/m³, and the 1-PC-MFC (1 g/cm²) had a value of 180.59 mW/m³. Although the Pt cathode had the highest power density, the spent battery cathode in the 3-PC-MFC was 3 times more powerful. Increasing the catalyst loading also significantly increased the power output. Finally, when PC-MFCs are interconnected, they directly supply power to various digital clocks with 3 PC-MFCs. This study demonstrates the feasibility of using ''dead'' batteries to generate electricity directly from wastewater, opening doors for practical applications soon.

Objetivo: Descrever o conhecimento atual sobre as alterações neurológicas em pacientes com hanseníase. Métodos: Trata-se uma revisão integrativa com abordagem exploratória sobre as alterações neurológicas na hanseníase. Teve como critério de inclusão estudos completos publicados entre 2014-2024, nos idiomas português e inglês, que tivessem de acordo com o objetivo e questão norteadora do presente estudo, Resultados: Foram incluídos 21 estudos. Os resultados inferem que, apesar de casos atípicos de hanseníase envolvendo fibrose, úlceras, paralisia facial, mielite, ganglionite e radiculite, as manifestações neurológicas sensoriais são comuns, especialmente, a neuropatia periférica. Além disso, lesões cutâneas hipopigmentadas e perda de sensibilidade (tátil e térmica) são frequentes, assim como o espessamento dos nervos periféricos e mononeuropatia múltipla. Essas alterações são atribuídas prioritariamente à afinidade do Mycobacterium leprae pelas células de Schwann e à resposta pró-inflamatória desregulada. Considerações finais: As manifestações neurológicas na hanseníase, sobretudo, a neuropatia periférica, constituem elementos centrais da doença, refletindo a interação complexa entre a Mycobacterium leprae pelas células de Schwann e a resposta imunológica, além das manifestações atípicas. Assim, o diagnóstico precoce, uma abordagem multidisciplinar, individualizada e uso de exames eletrofisiológicos e biomarcadores inflamatórios, são cruciais para prevenir danos irreversíveis e promover a recuperação funcional.

Rodenticide poisoning in children is a public health concern due to its prevalence and serious consequences for children's health.This study analyzed the geographic distribution of these cases in Brazil between 2020 and 2022, aiming to identify areas with the highest incidence and age groups most affected.The results revealed 2,526 registered cases, with the Southeast, Northeast and South as the most affected regions and children aged 1 to 4 years as the most vulnerable.These findings highlight the need for targeted preventive strategies to protect the vulnerable.

The objective of this research is to develop and design an experimental prototype that allows the capture and storage of irradiance data in real time. Access to this data is through public Mathworks web servers allowing entry from any device. The prototype includes an ESP32 development board, a photovoltaic cell, two temperature sensors and a current sensor, the main function is to measure irradiance, this being the amount of radiant energy received per specific area. This is achieved through the use of a photovoltaic cell, which transforms solar energy into electrical current, the current sensor provides an indirect measure of irradiance by recording the current produced by the photovoltaic cell. Temperature sensors are used to compensate for measurement differences caused by temperature changes in the environment. To get accurate readings, these sensors are strategically placed near the photovoltaic cell. The prototype is connected to the internet, which allows access to irradiance data, showing a practical solution for collecting and monitoring in real time, being useful in applications design and combination of technologies, such as a board of solar energy systems and in precision agriculture.

Descripción de la interfaz y principales funcionalidades de las plataformas tecnológicas, así como de los diferentes formatos que se pueden utilizar. Consejos y recomendaciones para la creación de un contenido que se ajuste de manera óptima a Facebook.