ABSTRACT Purpose: This study investigated the relationship between blood pressure and intraocular pressure in treatmentnaive, non-glaucoma patients with different blood pressure statuses, focusing on the 24-h ocular volume and nocturnal blood pressure decline. Methods: Treatment-naive, non-glaucoma patients undergoing hypertension evaluation were enrolled as study participants. Simultaneous 24-h ambulatory blood pressure measurement and 24-h ocular volume recording with a contact lens sensor. We also compared ocular volume curve parameters between normotensive and hypertensive patients, as well as between those with and without nocturnal blood pressure decline. Results: A total of 21 patients, including 7 normotensive and 14 treatment-naive hypertensive individuals, were included in the study. of them, 11 were dippers and 10 were non-dippers. No significant difference in the 24-h ocular volume slope was observed between the hypertensive and normotensive patients (p=0.284). However, dippers had a significantly higher 24-h ocular volume slope (p=0.004) and nocturnal contact lens sensor output (p=0.041) than non-dippers. Conclusion: Nocturnal blood pressure decline, rather than the blood pressure level, is associated with the increased 24-h ocular volume slope and nocturnal ocular volume. Further studies are required to determine whether the acceleration of glaucoma progression in dippers is primarily due to low blood pressure, high intraocular pressure, or a combination of both. Purpose treatmentnaive nonglaucoma non statuses 24h h 24 decline Methods Treatmentnaive, Treatmentnaive Treatment naive, naive Treatment-naive participants Results 2 1 treatment individuals them nondippers. nondippers dippers. non-dippers p=0.284. p0284 p p=0.284 . 0 284 (p=0.284) However p=0.004 p0004 004 (p=0.004 p=0.041 p0041 041 (p=0.041 Conclusion level both p028 p=0.28 28 (p=0.284 p=0.00 p000 00 (p=0.00 p=0.04 p004 04 (p=0.04 p02 p=0.2 (p=0.28 p=0.0 p00 (p=0.0 p0 p=0. (p=0.2 (p=0. p=0 (p=0 p= (p= (p

Sensor calibration for dissolved gas is a critical and necessary step to ensure consistent sensor response over time and under different conditions. In this work, we describe a 3D printed device that facilitates the calibration of gas sensors. The device effectively maintained gas concentration in the solution for at least 2 h. Analytical curves were constructed in the pH range of 2 to 12, yielding determination coefficients surpassing 0.98. The chosen method proved suitable for the calibration of the sensors. Furthermore, using accurate and reliable reference sensors contributed to obtaining precise and trustworthy measurements. conditions work D h 12 098 0 98 0.98 Furthermore measurements 1 09 9 0.9 0.

This study presents a solution to solid waste problems, focusing on spent lithium-ion batteries (LiBs) and iron ore tailings (IOT) from the Mariana environmental accident in Brazil. The approach involves the production CoFe2O4 from LiBs and IOT, which serves as a catalyst for solar photo-Fenton reactions for methylene blue (MB) decolorization and as an electrochemical sensor for ascorbic acid (AA) detection. Chemical analysis showed recycling potential, with 45.22 ± 0.22% m m−1 Co from LiBs and 14.9 ± 1.5% m m−1 Fe from IOT, determined by inductively coupled plasma atomic emission spectroscopy (ICP OES) and flame atomic absorption spectrometry (FAAS). The sol-gel synthesized CoFe2O4 exhibited a crystallite size of 51.9 ± 1.3 nm and agglomerated crystal clusters. Recycled-CoFe2O4 exhibited a 98.1% MB decolorization efficiency in 60 min under solar irradiation and remained above 92.3% in all 7 reuse cycles. The electrochemical sensor exhibited a coefficient of determination of 0.9987, a sensitivity of 3.352 ± 0.0428 μA mol L−1, and a limit of detection of 0.5511 µM in the concentration range of 1.96 to 23.08 mmol L−1 for AA detection. This study demonstrates the potential of recycled-CoFe2O4 in an environmentally friendly dye removal and as an electrochemical sensor, offering sustainable waste management and resource utilization with solar energy. problems lithiumion lithium ion (LiBs IOT (IOT Brazil CoFeO CoFe O CoFe2O photoFenton photo Fenton (MB (AA 4522 45 22 45.2 022 0 0.22 m1 1 m− 149 14 9 14. 15 5 1.5 ICP OES FAAS. FAAS . (FAAS) solgel sol gel 519 51 51. 13 3 1. clusters RecycledCoFe2O4 RecycledCoFeO Recycled Recycled-CoFe2O 981 98 98.1 6 923 92 92.3 cycles 09987 9987 0.9987 3352 352 3.35 00428 0428 0.042 L1 L 05511 5511 0.551 196 96 1.9 2308 23 08 23.0 L− recycledCoFe2O4 recycledCoFeO recycled recycled-CoFe2O energy 452 4 2 45. 02 0.2 (FAAS RecycledCoFe RecycledCoFe2O 98. 92. 0998 998 0.998 335 35 3.3 0042 042 0.04 0551 551 0.55 19 230 23. recycledCoFe recycledCoFe2O 0. 099 99 0.99 33 3. 004 04 0.0 055 55 0.5 09 0.9 00 05

Iron is an important ion that regulates many metabolic functions in the human body, and its deficiency or overload can cause serious health problems. In view of this, the development of tools that can quantify iron in aqueous media is quite valuable. A new material based on a metal-organic framework (MOF) and a calixarene derivative (CALIX), here named CALIX@UiO-66-NH2, was successfully prepared and used as a luminescent sensor for iron ions in a water matrix containing various metal ions. The post-synthetic modification was demonstrated to be efficient on the MOF (UiO-66-NH2) modification, leading to a hybrid platform. The effect of the combination of both components (MOF and CALIX) led to a platform more sensitive to iron detection than the independent compounds. The CALIX@UiO-66-NH2 sensor shows a linear response toward Fe3+ ions with satisfactory linearity (R2 = 0.994) within the concentration range of 6.74 × 10−6−1.72 × 10−5 mol L−1. The limit of detection was determined to be as low as 1.6 mg L−1. The data demonstrate that CALIX@UiO-66-NH2 is an excellent probe for detecting Fe3+, as confirmed by almost complete fluorescence suppression. body problems this valuable metalorganic organic CALIX, CALIX , (CALIX) CALIX@UiO66NH2, CALIXUiO66NH2 CALIXUiONH CALIX@UiO 66 NH2, UiO NH2 NH postsynthetic post synthetic UiO66NH2 UiONH (UiO-66-NH2 compounds CALIX@UiO66NH2 CALIX@UiO-66-NH Fe3 Fe R2 R (R 0.994 0994 0 994 674 6 74 6.7 106172 10 1 72 10−6−1.7 105 5 10− L1 L L−1 16 1. suppression (CALIX CALIXUiO CALIXUiO66NH UiO66NH (UiO-66-NH CALIX@UiO66NH 0.99 099 99 67 7 6. 10617 10−6−1. L− 0.9 09 9 1061 10−6−1 0. 106 10−6− 10−6

ABSTRACT Desertification is the degradation process caused by climatic conditions and human activities that results in loss of soil productivity and decline in vegetation growth in the long term. Several indices related to vegetation, soil and climate are used to monitor desertification, but few studies explore qualitative and quantitative aspects of indices on desertification on spatial and hierarchical scale. This study aims to identify and measure indices related to increased risk of desertification on global, local and hierarchical scales using multinomial logistic regression models. Images from TM, ETM+ and OLI sensor from 1997 to 2018 in the end of dry and rainy seasons were used to quantify NDVI, TGSI, albedo, temperature, aridity index, evapotranspiration and precipitation on global spatial scale (Irauçuba Centro Norte) and local spatial scale (Miraíma, Canindé, Irauçuba and Santa Quitéria). GISD was calculated by geometric mean of weighted indices and segmented into 8 classes of susceptibility to desertification (hierarchical scale). The results showed that the best models were obtained on local scale and for the end of the rainy season. Temperature proved to be the most important variable for increased risk of desertification on global, local and hierarchical scales. Therefore, the increase in the risk of desertification in the studied areas is due to human activities of deforestation, overgrazing and fire. These factors contributed to reduction of vegetation cover and increase in temperature, changing the microclimatic, which led to decline in precipitation and worsening of desertification. term TM ETM 199 201 NDVI TGSI albedo temperature index Norte Miraíma, Miraíma (Miraíma Canindé Quitéria. Quitéria . Quitéria) scale) season Therefore deforestation fire microclimatic 19 20 1 2

We report the electrochemical potential of conductive filaments produced with recycled polylactic acid (rPLA) alongside a mixture of graphite (Gpt) and/or carbon black (CB) and castor oil to create an electrode ready-to-use. Additively-manufactured electrodes (AMEs) were compared with commercial-conductive filament composed of PLA and CB. The Gpt-CB-rPLA and CB-rPLA sensors showed lower charge-transfer resistance (Rct) and a greater heterogenous rate constant, k0, (Rct= 1040 ± 50 Ω and 1810 ± 30 Ω and k0= 6.91 (± 0.58) × 103 and 5.31 (± 0.40) × 103 cm s-1, respectively) compared to the sensor from the commercial filament (Rct = 9620 ± 280 Ω and k0 = 3.62 (± 0.38) ×10-3 cm s-1). The electrochemical response of [Fe(CN6)]3-/4- displayed a peak-to-peak separation of 180 ± 8 mV (Gpt-CB-rPLA) and 240 ± 6 mV (CB-rPLA) compared to commercial AME (740 ±10 mV), without any surface treatment. The filaments were used to create a 2,4,6-trinitrotoluene (TNT) detection platform with linear range of 5-20 and 5-100 µmol L-1 for Gpt-CB-rPLA and CB-rPLA, respectively. The collector-detector device was applied for the analysis of a blast simulation. Finally, it is worth noting that the results obtained are without electrode treatment/activation, indicating that the rough surface of the additively manufactured electrode is an additional feature of the device for collecting explosive residues, simply by rubbing the additively manufactured platform on different surfaces in crime scenarios. rPLA (rPLA Gpt (Gpt andor or CB (CB readytouse. readytouse ready use. use ready-to-use Additivelymanufactured Additively AMEs (AMEs commercialconductive GptCBrPLA CBrPLA chargetransfer charge transfer Rct constant k Rct= 104 5 181 3 691 91 6.9 ( 0.58 058 0 58 10 531 31 5.3 0.40 040 40 s1, s1 s 1, 1 s-1 respectively 962 28 362 62 3.6 0.38 038 38 ×103 ×10 ×10- s1. . s-1) FeCN63/4 FeCN634 FeCN Fe CN6 /4 4 CN [Fe(CN6)]3-/4 peaktopeak peak 18 (Gpt-CB-rPLA 24 (CB-rPLA 740 (74 ±1 mV, , mV) treatment 2,4,6trinitrotoluene 246trinitrotoluene trinitrotoluene 2,4,6 2 TNT (TNT 520 20 5-2 5100 100 5-10 L1 L L- CBrPLA, rPLA, collectordetector collector detector simulation Finally treatmentactivation activation treatment/activation residues scenarios 69 9 6. 0.5 05 53 5. 0.4 04 s- 96 36 3. 0.3 03 ×1 FeCN63 FeCN63/ / [Fe(CN6)]3-/ 74 (7 6trinitrotoluene 246 2,4, 52 5- 510 5-1 0. FeCN6 [Fe(CN6)]3- 7 2,4 51 [Fe(CN6)]3 2, [Fe(CN6)] [Fe(CN6) [Fe(CN6 [Fe(CN

Resumen Introducción. Las medidas de adaptación al cambio climático requieren de la toma de decisiones informadas. Sin embargo, la agricultura de pequeña escala muestra bajas tasas de adopción de tecnologías por su costo y falta de conectividad. Objetivo. Evaluar tres prototipos de dispositivos para agricultura de pequeña escala y de bajo costo para medir humedad de suelo en diferentes texturas, así como determinar las respectivas ecuaciones de calibración y los efectos de conductividad eléctrica y temperatura en la medida de humedad. Materiales y métodos. Se evaluaron tres prototipos de dispositivos de medición y registro de humedad de suelo, en suelos con diferencial en contenido de arcilla/arena y conductividad eléctrica en parcelas productivas de la Universidad Zamorano, en Honduras; y Finca demostrativa en Popayán, Colombia, durante el primer trimestre del 2022. Se tomaron como referencia sensores comerciales para la comparación del desempeño de los prototipos, mediante análisis de regresión de las lecturas por hora de los sensores durante 90 días. Se recolectaron las variables de conductividad eléctrica (dS/m) y temperatura para determinar la influencia en la precisión de la lectura de humedad. Resultados. Los dispositivos de medición y registro de humedad presentaron un mejor desempeño en suelos con menor contenido de arena. La medición de los dispositivos sobrestimó entre 0,19 y 0,52 puntos porcentuales la lectura de humedad por cada grado adicional de temperatura del suelo, y que por cada dS/m adicional de conductividad eléctrica la lectura se debe ajustar entre 8 y 55 puntos porcentuales. Conclusiones. El prototipo A fue el dispositivo más exacto, mientras que el prototipo B fue el más preciso, con respecto a los sensores comerciales. Los dispositivos de humedad presentaron un mejor desempeño en suelos con menor contenido de arena. Los tres modelos evaluados obtuvieron el mejor desempeño en suelo franco con contenido medio de arcilla.

Abstract Introduction. Climate change adaptation measures require informed decision-making. However, small-scale agriculture shows low rates of technology adoption due to cost and lack of connectivity. Objective. To evaluate three low-cost prototypes of small-scale agriculture devices for soil moisture measurement in different soil textures, as well as to determine the respective calibration equations, and the effects of electrical conductivity and temperature on moisture measurement. Materials and methods. Three measurement and recording prototypes for soil moisture were evaluated in soils with variations in clay/sand content and electrical conductivity in productive plots at Zamorano University in Honduras and a demonstration farm in Popayán, Colombia during the first quarter of 2022. Commercial sensors were used as a reference to compare the performance of the prototypes through regression analysis of hourly sensor readings over 90 days. Electrical conductivity (dS/m) and temperature variables were collected to determine their influence on moisture reading accuracy. Results. The soil moisture measurement devices showed better performance in soils with lower sand content. The measurement from the devices overestimated moisture readings by 0.19 to 0.52 percentage points for each additional degree of soil temperature. Additionally, for each additional dS/m of electrical conductivity, the reading needed adjustment by 8 to 55 percentage points. Conclusions. Prototype A was the most accurate device, while prototype B was the most precise compared to commercial sensors. Soil moisture devices performed best in soils with lower sand content. The three models evaluated performed best in loam soil with a medium clay content.

Autonomous electric vehicles use camera sensors for vision-based steering control and detecting both roads and objects. In this study, road and object detection are combined, utilizing the YOLOv8x-seg model trained for 200 epochs, achieving the lowest segmentation loss at 0.53182. Simulation tests demonstrate accurate road and object detection, effective object distance measurement, and real-time road identification for steering control, successfully keeping the vehicle on track with an average object distance measurement error of 2.245 m. Route planning for autonomous vehicles is crucial, and the A-Star algorithm is employed to find the optimal route. In real-time tests, when an obstacle is placed between nodes 6 and 7, the A-Star algorithm can reroute from the original path (5, 6, 7, 27, and 28) to a new path (5, 6, 9, 27, and 28). This study demonstrates the vital role of sensor fusion in autonomous vehicles by integrating various sensors. This study focuses on sensor fusion for object-road detection and path planning using the A* algorithm. Real-time tests in two different scenarios demonstrate the successful integration of sensor fusion, enabling the vehicle to follow planned routes. However, some route nodes remain unreachable, requiring occasional driver intervention. These results demonstrate the feasibility of sensor fusion with diverse tasks in third-level autonomous vehicles.

ABSTRACT Grains are hygroscopic materials and, during storage, they are subject to exchanging moisture with the environment according to temperature and relative air humidity, making it important to monitor these factors. Digital temperature and relative air humidity sensors appear as an alternative for monitoring the moisture of grain mass inside silos; they are simple to install and use. Digital sensors present outstanding precision in temperature measurements. The objective in this study was to assess the efficiency and applicability of intergranular relative air humidity sensors linked to digital temperature sensors in the thermometry system of silos storing soybeans. Two samples of soybeans were analyzed in the upper, middle and lower thirds of the silo, for grain mass temperature, intergranular relative air humidity, estimated equilibrium moisture content according to collected data, and moisture content of the sampled grains. Moisture contents obtained from sensor measurements using the hygroscopic equilibrium equation and determined using the oven method were compared. The equilibrium moisture content estimated by the data provided by the sensors did not differ by the Tukey test (p ≤ 0.05) from the moisture content determined by the oven method. Digital temperature and relative air humidity sensors have proven to be efficient, as they contribute to estimating the equilibrium moisture content with satisfactory precision. storage factors use upper silo grains compared p 0.05 005 0 05 efficient 0.0 00 0.

RESUMO Grãos são materiais higroscópicos, e em seu armazenamento estão sujeitos às trocas de vapor de água de acordo com a temperatura e umidade relativa do ar, sendo importante o monitoramento desses fatores. Os sensores digitais de temperatura e umidade relativa do ar surgem como alternativa para monitoramento da temperatura da massa de grãos no interior de silos, apresentando simplicidade de instalação e utilização. Sensores digitais apresentam destacada precisão nas medições de temperatura. O objetivo deste estudo foi verificar a eficiência e aplicabilidade de sensores de umidade relativa do ar intergranular atrelados a sensores digitais de temperatura no sistema de termometria de silos armazenando grãos de soja. Duas amostragens de grãos de soja no terço superior, médio e inferior do silo foram analisadas para a temperatura da massa de grãos, umidade relativa do ar intergranular, teor de água de equilíbrio estimado conforme dados coletados e teor de água dos grãos amostrados. Realizou-se a comparação do teor de água obtido a partir das medições dos sensores usando a equação do equilíbrio higroscópico e pela determinação através do método da estufa. O teor de água de equilíbrio estimado pelos dados fornecidos pelos sensores não diferenciou pelo teste de Tukey (p ≤ 0.05) do teor de água determinado pela estufa. Os sensores digitais de temperatura e umidade relativa do ar demonstraram-se eficientes, visto que contribuem para estimativa do teor de água de equilíbrio com precisão satisfatória. higroscópicos fatores utilização superior amostrados Realizouse Realizou se estufa p 0.05 005 0 05 demonstraramse demonstraram eficientes satisfatória 0.0 00 0.

Abstract: Recently composite flooring systems are widely acepted as a construction solution, due to their various constructive advantages, Amongst them mainly the savings during construction which turns out in lower costs. This calls for a continous study to improve said flooring system. In the present research, the flexural capacity of a series of composite flooring prototypes (made of concrete plus a steel deck with a surface modification into a vented deck), helped in comparing the mechanical response (maximum load and deflection) with classical composite steel deck systems. At the same time of monitoring deflection (as load changed), one sensor reported the surface magnetic flux at a nearby area. It was posible to see a strong correlation between larger changes in deflection and the emmanated magnetic flux at the surface of the steel deck. Three stages are available to see as the test continued: i) complete elastic behavior, ii) rise in tensile demand on the steel deck, iii) loosening of the composite behavior and ultimately collapse. Mechanical results show almost no difference between those composite flooring systems made with continuous steel deck when compared to those with vented decks.

Resumen: Los sistemas de entrepiso compuestos con el paso del tiempo han tenido una mayor aceptación por parte de la industria de la construcción, gracias a las bondades que presentan frente a otros tipos de entrepiso. Entre sus principales bondades se encuentran el ahorro en tiempo de construcción lo que finalmente se reduce en menores costos. Por lo antes mencionado, el desarrollo de nuevas tecnologías u optimizaciones a las mismas son necesarias. En la presente investigación experimental se analizó el comportamiento mecánico a flexión de una serie de probetas de sistemas de entrepisos compuestos, hechos con concreto y láminas de acero colaborante con perforados en el valle de la lámina (paralelos a los ejes de las costillas del entrepiso). Los resultados fueron comparados con otra serie de probetas de sistemas de entrepiso similares, hechos con láminas convenciones (sin ningún tipo de perforación). Los resultados fueron analizados desde el punto de vista de la deflexión máxima en el centro de la luz, de la máxima carga reportada durante el ensayo a flexión y del monitoreo del flujo magnético superficial de las fibras mayormente solicitadas a tensión en la lámina de acero. Se reportaron comportamientos de falla mediante mecanismos de fractura por bloque de compresión, fallas por zonas de tensión en el concreto y pandeos localizados en la lámina una vez el sistema dejó de trabajar como sistema compuesto. Se identificaron correlaciones en el tiempo entre los picos de carga y los comportamientos diferenciales de la señal de flujo magnético, identificando tres instantes claramente identificables mediante el uso del magnetismo como variable de monitoreo estructural: i) elasticidad compuesta, ii) aumento de la tensión en la lámina de acero, iii) pérdida de la sección compuesta y colapso del sistema de entrepiso. Finalmente, los resultados de capacidad del sistema de entrepiso con el sistema de perforados longitudinales, no representó un incremento sustancial en la capacidad del entrepiso comparado con el sistema de construcción con lámina convencional.

The past decade has seen a renewed possibility of using machine learning algorithms to solve a large collection of problems in several fields. Data acquisition for mining operations has increased with the growth in sensor-based technologies, and therefore the amount of information available for mining applications has dramatically increased. Ore sorting equipment is available for separating ore from waste based on differences in physical properties detected by a real-time analyser. The separation efficiency depends on the contrast in these properties. In this study we investigate the application of machine learning models trained using data from the output of a dual-energy X-ray ore sorting apparatus at a gold mine. The particles were first hand-sorted into ore and gangue classes based on their mineralogical composition. Classification models were then used to help decide the balance between the number of true and false positives for ore in the concentrate, with a view to economic parameters, using their receiver operator characteristic (ROC) curves. The results showed AUC (area under the ROC curve) scores of up to 0.85 for the classification models and a maximum reward condition Fp r/Tp r around 0.5/0.9 for a simplified economic model.

Resumen Este artículo profundiza en el potencial de los sensores IoT de bajo consumo al aprovechar la sinergia de tres tecnologías esenciales: LoRaWAN, técnicas de recolección de energía y supercapacitores, enfatizando el papel fundamental que desempeñan estas tecnologías en el siempre creciente ámbito de IoT y su contribución a soluciones sustentables de bajo consumo de energía. Se presenta el desarrollo e implementación de un sistema diseñado para informar rápidamente sobre problemas en sistemas metropolitanos de baja tensión. Introduce soluciones de hardware rentables que incorporan métodos no convencionales de almacenamiento de energía, como supercapacitores en lugar de baterías tradicionales. La información recopilada se transmite a un centro de operaciones de red a través de una red LoRaWAN de acceso público. Este sistema ofrece una visión integral del estado de las redes eléctricas, lo que permite la identificación de eventos esporádicos y recurrentes, facilitando la formulación de medidas correctivas y preventivas destinadas a mejorar la calidad de la prestación de servicios.

Abstract This article delves into the potential of low-power IoT sensors by harnessing the synergy of three essential technologies: LoRaWAN, energy harvesting techniques, and supercapacitors. It emphasizes the pivotal role these technologies play in the ever-expanding realm of IoT and their contribution to sustainable, low-power solutions.The study presents the development and implementation of a system designed for rapid issue reporting within low-voltage metropolitan systems. It introduces cost-effective hardware solutions that incorporate unconventional energy storage methods, such as supercapacitors instead of traditional batteries. The collected information is transmitted to a network operations center via a publicly accessible LoRaWAN network. This system offers comprehensive insights into the condition of electrical networks, enabling the identification of both sporadic and recurring events. It empowers the formulation of corrective and preventive measures aimed at enhancing the quality of service provision.

Abstract NDVI elucidates the ecophysiological mechanisms faced by vegetation. With the flexibility and versatility of unmanned aerial vehicles (UAVs), temporal, spatial and spectral resolutions have been useful in supporting decision-making. Here, we modeled diurnal change in the NDVI derived from UAV imagery for individual trees in a natural forest stand. Eight flights were conducted during daylight hours over one day to assess the dynamics of the NDVI of the genera Pinus, Juniperus, and Quercus. The results showed unstable NDVI values over time, with a parabolic quadratic trend in the model. The NDVI reached its maximum around 13:00 h and the values differed significantly according to genus: the highest value was found in Pinus with significant differences presented with Juniperus and Quercus, which showed similar values between them (p=0.533). As a validation strategy, we test the model generated using 124 trees independent of those that were sampled, which strengthened our results in terms of reliability. The similarities of statistical parameters confer a high variability of application of the results in models of simulation of similar forests ecosystems. We recommend to study more spectral indices of vegetation, including calibration of the sensor, particularly in longer-term seasonal studies. We conclude that the NDVI measured using UAV should consider image acquisition time to calibrate the records and thus improve the interpretation of results.

Resumen El NDVI dilucida los mecanismos ecofisiológicos a los que se enfrenta la vegetación. Gracias a la flexibilidad y versatilidad de los vehículos aéreos no tripulados (VANT), las resoluciones temporales, espaciales y espectrales han sido útiles para apoyar la toma de decisiones. En este trabajo se modelizó el cambio diurno en el NDVI derivado de imágenes de VANT para árboles individuales en un rodal forestal natural incoetáneo. Se realizaron ocho vuelos durante las horas diurnas a lo largo de un día para evaluar la dinámica del NDVI de los géneros Pinus, Juniperus y Quercus. Los resultados mostraron valores de NDVI inestables en el tiempo, con una tendencia cuadrática parabólica en el modelo. El NDVI alcanzó su máximo alrededor de las 13:00 h y los valores difirieron significativamente según el género: el valor más alto se encontró en Pinus con diferencias significativas presentadas con Juniperus y Quercus, que mostraron valores similares entre ellos (p=0.533). Como estrategia de validación, probamos el modelo generado utilizando 124 árboles independientes de los muestreados, lo que reforzó nuestros resultados en términos de confiabilidad. Las similitudes de los parámetros estadísticos confieren una alta variabilidad de aplicación de los resultados en modelos de simulación de ecosistemas forestales similares. Recomendamos estudiar más índices espectrales de vegetación, incluyendo la calibración del sensor, particularmente en estudios estacionales de más largo plazo. Concluimos que el NDVI medido mediante VANT debe considerar el tiempo de adquisición de la imagen para calibrar los registros y así mejorar la interpretación de los resultados.

Abstract. - Organic contaminants are highly toxic and volatile and accumulate in fatty tissues. Due to their persistence and mobility, it is possible to find them practically anywhere on the planet, even where they have never been used. For this reason, monitoring and vigilance in water bodies are essential. We synthesized calcium titanate (CaTiO 3 ) particles using the solid-state method in the present research. Several physicochemical techniques characterized the particles: energy dispersive spectroscopy (EED), X-ray diffraction (XRD), Raman spectroscopy, scanning electron microscopy (SEM), diffuse reflectance spectroscopy (ERD), and electrochemical: cyclic voltammetry (CV), among others.; It was found via XRD and Raman that the crystalline structure is orthorhombic with space group Pbnm. The synthesized CaTiO 3 particles have an average diameter of ≈ 2 µm. Furthermore, the value obtained for the energy gap (E g ) was 3.41 eV; it also presents a low energy step at a value of 2.66 eV, which may correspond to the mingap electronic states. The glassy carbon electrode modified with the CaTiO 3 film showed a sensitivity for determining nitrobenzene (NB) in aqueous solution. Therefore, it can be concluded that the development of CaTiO 3 particles is a viable alternative to be used as a sensor of organic contaminants in water.

Resumen. - Los contaminantes orgánicos son altamente tóxicos y volátiles se acumulan en los tejidos grasos; Debido a su persistencia y movilidad, es posible encontrarlas prácticamente en cualquier parte del planeta, incluso en lugares donde nunca han sido utilizadas. Por esta razón, el monitoreo y la vigilancia en los cuerpos de agua son fundamentales. En la presente investigación, se sintetizaron partículas de titanato de calcio (CaTiO 3 ) utilizando el método de estado sólido. Las partículas se caracterizaron por diversas técnicas fisicoquímicas: difracción de rayos-X (DRX), espectroscopia Raman, microscopía electrónica de barrido (MEB), espectroscopia de dispersión de energía (EDE), espectroscopia de reflectancia difusa (ERD), y electroquímica: voltamperometría cíclica (VC), entre otras. Se encontró a través de DRX y Raman que la estructura cristalina es ortorrómbica con el grupo espacial Pbnm. Las partículas de CaTiO 3 sintetizadas tienen un diámetro promedio de ≈ 2 µm; Además, el valor obtenido para la brecha de energía (E g ) fue de 3,41 eV; también presenta un paso de baja energía en un valor de 2.66 eV, que puede corresponder a los estados electrónicos mingap. El electrodo de carbón vítreo modificado con la película de CaTiO 3 mostro una sensibilidad para la determinación de nitrobenceno (NB) en solución acuosa. Por lo tanto, se puede concluir que el desarrollo de partículas de CaTiO 3 es una alternativa viable para ser utilizado como sensor de contaminantes orgánicos en agua.

Abstract The people movement depends of nervous system action on specific muscle groups that rest on the bone structure. Some pathological processes can cause alterations in the strength and coordination that must exist between the muscular responses, causing alterations in the expected movement. In their initial phase, most of these alterations go unnoticed until the physical damage significantly affects human activity, and in many cases irreparably. Currently, the most widely used method for the analysis of human movement is based on study of sequential photography in limited space, although digital positioning systems are also used to a lesser extent. This project deals with the technology development for biometric capture of human movement using inertial measurement sensors. The idea is to detail the spatial displacement of body specific sections to from the measurement of acceleration and angular movement, with the purpose of assessing the response of the joints involved. The objective is developed a system that allows to specialists medical identify abnormalities in the movement of patient under study. Preliminary results demonstrate the efficiency of implemented inertial sensor. Using 7 sensors strategically located on the patient's body and with an acquisition speed of 100 samples per second on each sensor, it's possible to detail walking movements less than 7.5 millimeters and accuracy in angular velocity up 0.1°/0.01 second. With the development of this instrument, the ability to visualize and analyze movements that are normally imperceptible to the human eye is achieved.

Resumen El movimiento de las personas depende de la acción del sistema nervioso sobre grupos musculares específicos que se apoyan sobre la estructura ósea. Algunos procesos patológicos pueden causar alteraciones de la fuerza y coordinación que debe existir entre las respuestas musculares, causando alteraciones en el movimiento esperado. En su fase inicial, la mayoría de estas alteraciones pasan desapercibidas hasta que los daños físicos afectan notoriamente la actividad humana, y en muchos casos de manera irreparable. Actualmente, el método más utilizado para el análisis de la marcha humana se basa en el estudio fotométrico secuencial en espacio limitado, aunque en menor medida también se utilizan sistemas de posicionamiento digital. Este proyecto aborda el desarrollo de tecnología para la captura biométrica del movimiento humano mediante sensores de medición inercial. La idea es detallar el desplazamiento espacial de secciones específicas del cuerpo a partir de la medición de aceleración y la velocidad angular, con el propósito de valorar la respuesta de las articulaciones involucradas. El objetivo es desarrollar un sistema que permita a los médicos especialistas identificar anomalías en el movimiento del paciente en estudio. Los resultados preliminares demuestran la eficiencia del sensor inercial implementado. Utilizando 7 sensores ubicados estratégicamente en el cuerpo del paciente y con una velocidad de adquisición de 100 muestras por segundo en cada sensor, es posible detallar movimientos de marcha menores a 7,5 milímetros y precisión en velocidad angular de hasta 0,1°/0,01 segundo. Con el desarrollo de este instrumento se consigue la capacidad de visualizar y analizar movimientos que normalmente son imperceptibles para el ojo humano.