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

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

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 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.

ABSTRACT Adequate seed placement is essential for consistent crop emergence and initial growth. Pneumatic seed metering systems offer superior longitudinal seed distribution accuracy compared to traditional methods, yet certain factors can influence this precision. For instance, seed physical properties may be altered by phytosanitary treatments applied either on-farm or industrially. This study examined the effects of phytosanitary treatment type and graphite addition on soybean seed deposition using an electric-driven pneumatic feeder under simulated sowing conditions. Seed distribution was monitored with an optical sensor. Four treatment groups were established: untreated without graphite, untreated with graphite added, on-farm treated with graphite, and industrially treated with graphite. Parameters assessed included average spacing between seeds, coefficient of variation, precision index, multiple and failed spacings, and percentage of acceptable spacing. Results indicate that prior seed treatment does not significantly affect overall planting accuracy. However, seed spacing varied between the untreated and on-farm treated groups, with the latter demonstrating closer proximity to optimal values. Both on-farm and industrial treatments yielded more uniform seed deposition, as indicated by a lower coefficient of variation. Regardless of seed treatment, the pneumatic feeder consistently performed effectively. growth methods instance onfarm farm electricdriven electric driven conditions sensor established added seeds variation index spacings However values effectively

RESUMO A deposição adequada de sementes tem grande importância na uniformidade da emergência e no desenvolvimento inicial das culturas. Uma maior precisão na distribuição longitudinal de sementes é possível com mecanismos dosadores de sementes pneumáticos em relação aos convencionais, mas existem alguns aspectos que afetam essa precisão. Por exemplo, a qualidade física das sementes pode ser impactada pelo seu tratamento fitossanitário, que pode ser feito na propriedade ou na indústria. Nesse contexto, este estudo investigou o impacto do tipo de tratamento fitossanitário e do uso de grafite na deposição de sementes de soja por meio de dosador pneumático com acionamento elétrico em bancada estática, simulando a semeadura e monitorando a distribuição das sementes com sensor óptico. As sementes foram submetidas a quatro tratamentos distintos: sem grafite, sem tratamento com adição de grafite, tratamento on-farm com adição de grafite e tratamento industrial com adição de grafite. Foram estudados o espaçamento médio entre deposições, coeficiente de variação de semeadura, índice de precisão, espaçamentos múltiplos e falhas e percentual de espaçamento aceitável. Os resultados indicam que o espaçamento adequado no plantio não é significativamente impactado pelo método de tratamento prévio das sementes. O espaçamento entre sementes diferiu entre os tratamentos sem grafite e pelo tratamento on-farm, sendo este último mais próximo do ótimo e o tratamento sem grafite mais distante do espaçamento ideal. Um coeficiente de variação de semeadura mais baixo indica que a deposição uniforme foi alcançada com os procedimentos on-farm e industriais. Independentemente do tratamento de sementes, o dosador pneumático demonstrou eficácia. culturas convencionais exemplo indústria contexto estática óptico distintos onfarm on farm deposições aceitável onfarm, farm, ideal industriais eficácia

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.

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.

SUMMARY: The rapid advancement of the Internet of Things (IoT) has transformed our lives by connecting objects and creating an intelligent environment that drives automation and massive data collection. IoT has overcome challenges through remote monitoring, robotics, and sensors, with powerful wireless technologies opening up possibilities in various fields, including anatomical techniques. The objective of this study is to demonstrate the feasibility and benefits of integrating IoT technology into the body maceration process by developing a low-cost, accessible, automated maceration control device compatible with theArduino IDE programming environment. Using an open-source NodeMCU system based on the ESP-12E chip, which employs the LUA programming language and is compatible with Arduino IDE, we incorporated a microSD card reader module for data storage, a digital temperature sensor (DS18B20), a clock module (DS3231), a magnetic stirrer, and an aquarium heater controlled by a digital thermostat with relay (W1209). To validate the device, we conducted maceration tests on C57BL mice, comparing two groups: Control (n=5; weight=17g) subjected to maceration in 4 liters of water at 10°C without agitation; Experimental (n=5; weight=17g) exposed to maceration in 4 liters of water at 35°C, with agitation at 1500 r/min and water flow renewal at a rate of 900 ml/h. Specimens were evaluated for their degree of maceration, cleaned, weighed, and photographed. The maceration time for the control and experi- mental groups was 730 hours and 60 hours, respectively. In the experimental group, no foul odors, damage, or bone demineralization were detected. The device cost was 60 USD, and programming through the Arduino IDE environment was straightforward. The focus on hardware contributed to accessibility and time savings. The system operated with a conventional power supply and required a water supply, making it adaptable to various configurations with greater capacity. Under this configuration, we effectively controlled the variables (temperature, agitation, and water flow). The NodeMCU-based bone maceration system improved the performance and adaptability of existing systems and increased accessibility by reducing costs, complexity, and foul odors.

RESUMEN: El rápido avance del Internet de las Cosas (IoT) ha transformado nuestras vidas al conectar objetos y crear un entorno inteligente que impulsa la automatización y la recolección masiva de datos. El IoT ha superado desafíos a través del monitoreo remoto, la robótica y los sensores, con tecnologías inalámbricas potentes que abren posibilidades en diversos campos, incluidas la anatomía y las técnicas anatómicas. El objetivo de este estudio fue demostrar la viabilidad y los beneficios de integrar la tecnología IoT en el proceso de maceración cadavérica mediante el desarrollo de un dispositivo de control de maceración automatizado, accesible y de bajo costo, compatible con el entorno de programación Arduino IDE. Usando un sistema NodeMCU de código abierto basado en el chip ESP-12E, que emplea el lenguaje de programación LUA y es compatible con Arduino IDE, incorporamos un módulo lector de tarjetas microSD para el almacenamiento de datos, un sensor de temperatura digital (DS18B20), un módulo de reloj (DS3231), un agitador magnético y un calentador de acuario controlado por un termostato digital con relé (W1209). Para validar el dispositivo, realizamos pruebas de maceración en ratones C57BL, comparando dos grupos: control (n=5; peso=17g) sometido a maceración en 4 litros de agua a 10°C sin agitación; experimental (n=5; peso=17g) expuesto a maceración en 4 litros de agua a 35°C, con agitación a 1500 r/min y renovación del flujo de agua a una velocidad de 900 ml/h. Los especímenes fueron evaluados según su grado de maceración, limpiados, pesados y fotografiados. El tiempo de maceración para los grupos control y experimental fue de 730 horas y 60 horas, respectivamente. En el grupo experimental no se detectaron malos olores, daños ni desmineralización de los huesos. El costo del dispositivo fue de 60 USD y la programación a través del entorno Arduino IDE fue sencilla. El enfoque en el hardware contribuyó a la accesibilidad y al ahorro de tiempo. El sistema operaba con una fuente de alimentación convencional y requería un suministro de agua, lo que lo hace adaptable a diversas configuraciones con mayor capacidad. Bajo esta configuración, controlamos eficazmente las variables (temperatura, agitación y flujo de agua). El sistema de maceración ósea basado en NodeMCU mejoró el rendimiento y la adaptabilidad de los sistemas existentes, y aumentó la accesibilidad al reducir los costos, la complejidad y los malos olores.

Abstract A novel p(THFA-co-HEMA) membrane based on acrylate CP was herein successfully synthesized through PP technique, and applied as a membrane for Pb ion-selective electrode (Pb-ISE). Optimal composition of THFA was HEMA 9:1 (TH91), with a Tg of -6.5oC. The structure of p(THFA-co-HEMA) was characterized using FTIR. Pb-ISE sensor showed remarkable calibration measurement in the range from 0.1 to 10-6 M, with a LOD of 7.59 x 10-7 M, and it obeyed Nernstian number of 30.5 mV/dec. In addition, fabricated Pb-ISE sensors showed fairly good selectivity coefficients for several types of ions, such as K+ (-6.53 ± 0.11), Na+ (-6.35 ± 0.16), NH4 + (- 6.76 ± 0.11), Mg2+ (-12.15 ± 0.13), Ca2+(12.12 ± 0.14), Cu2+ (-4.33 ± 0.11) and Cd2+ (-6.43 ± 0.17), and effective function in the pH range from 3 to 8. The resulting response time was quite good, 6.7 sec, with a change of 27.5 mV for decade. Pb-ISE sensor also showed validation results equivalent to AAS standard method, where corresponding data with real samples produced values of 9.3 ± 1.9 and 9.2 ± 2.0 ppm and 275.5 ± 10.3 and 277.7 ± 4.0 g/g for CREW and CRMS, respectively.

ABSTRACT. Using satellite sensor data for studying sea surface temperature (SST) provides advantages over in situ information, such as obtaining data from large areas and remote access regions in short periods. However, differences between the SST values recorded in situ and those by satellite sensors are due to the intrinsic nature of both methods and meteorological factors. The present study aims to search the difference between SST values from in situ and satellite sensor data of 1×1 km resolution (type L4) from the Group of High-Resolution Sea Surface Temperature (GHRSST) for an annual cycle in a socio-ecological critical area known as the Gulf of Ulloa (GU). The linear regression, linear spline regression, and logic models showed an overestimated SST by satellites compared to in situ data, particularly at temperatures below 20°C. The overestimation can be attributed to the oceanic-atmospheric variations, which are consequences of upwelling and the time lag between the data record morning by in situ and night by satellite sensors. This finding may be relevant in decision-making for marine resource management and conservation in the GU. The information may help to seek the sustainability of this social-environmental system.

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.

Resumen Introducción. La calidad del aire es un asunto de interés para la salud pública por su rápido deterioro en los países de bajos y medianos ingresos, y los efectos del aire contaminado en la salud de las poblaciones. Objetivo. Explorar las condiciones de la calidad del aire en las que los repartidores de plataformas digitales desarrollaron su trabajo en las localidades de Kennedy y Usaquén de Bogotá durante el 2021. Materiales y métodos. Se llevó a cabo un estudio mixto, paralelo y convergente, basado en cuatro fuentes de información: 1) observación etnográfica en cinco ubicaciones comerciales de las dos localidades; 2) monitoreo de PM10 y PM2.5 en 56 rutas de reparto, empleando un equipo de bajo costo; 3) bitácoras diarias de los recorridos que apoyaron la interpretación de los datos del equipo, y 4) entrevista semiestructurada con el rutero para explorar sus percepciones frente a los peligros durante los recorridos. Resultados. Se identificaron diferencias en las condiciones de trabajo, las percepciones y las exposiciones a material particulado de los repartidores entre las dos localidades de estudio que constituyeron fuentes de injusticia ambiental. Los recorridos que realizaron los repartidores en la localidad de Kennedy registraron mayores concentraciones de PM10 y PM2.5. Las fuentes de contaminación atmosférica identificadas por los repartidores mostraron los peores parámetros en Kennedy. Conclusiones. Se evidenció que la calidad del aire, el equipamiento urbano, la infraestructura vial, las fuentes móviles y la ubicación geoespacial son elementos que marcan la presencia de injusticia ambiental para los repartidores. Para disminuir esta inequidad, es necesario que las plataformas de reparto digital y el gobierno distrital implementen estrategias que reduzcan la exposición y la emisión de contaminantes del aire con el fin de proteger la salud de los repartidores de plataformas.

Abstract Introduction. Air quality is a matter of interest for public health due to its rapid deterioration in low- and middle-income countries and the effects of polluted air on the health of populations. Objective. To explore the air quality conditions in which digital platform delivery workers carry out their work, evaluating the localities of Kennedy and Usaquén in Bogotá, 2021. Materials and methods. We developed a mixed parallel convergent study based on four sources of information: 1) Ethnographic observation in five commercial locations of the two localities; 2) Monitoring of PM10 and PM2.5 in 56 delivery routes using a low-cost sensor; 3) Daily logs of the routes to support the device data interpretation, and 4) A semi-structured interview applied to the drivers to explore their danger perception during the routes. Results. We identified elements causing environmental injustice among digital platform delivery workers between the two study locations. The routes made by the delivery drivers in the locality of Kennedy registered higher concentrations of PM10 and PM2.5, compared to the values observed in Usaquén. The sources of air pollution identified by the delivery drivers through ethnographic observation and the router logbook showed the worst parameters in Kennedy. Conclusions. We evidenced that air quality, urban equipment, road infrastructure, mobile sources, and geospatial location are elements that mark the presence of environmental injustice for the digital platform delivery drivers in the studied localities. To reduce this inequity, it is necessary for digital delivery platforms and the district government to implement strategies that reduce the exposure and emission of air pollutants to protect the health of digital platform delivery workers.

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.

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.

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.