The atypical chemokine receptor ACKR2 is protective against sepsis

Sepsis is a systemic inflammatory response as a result of uncontrolled infections. Neutrophils are the first cells to reach the primary sites of infection and chemokines play a key role in recruiting neutrophils. However, in sepsis chemokines could also contribute to neutrophil infiltration to vital organs leading to multiple organ failure. ACKR2 is an atypical chemokine receptor, which can remove and degrade inflammatory CC chemokines. The role of ACK2 in sepsis is unknown. Using a model of cecal ligation and puncture (CLP), we demonstrate here that ACKR2 deficient (−/−) mice exhibited a significant reduction in the survival rate compared to similarly treated wild type (WT) mice. However, neutrophil migration to the peritoneal cavity and bacterial load were similar between WT and ACKR2−/− mice during CLP. In contrast, ACKR2−/− mice showed increased neutrophil infiltration and elevated CC chemokine levels in the lung, kidney and heart compared to the WT mice. In addition, ACKR2−/− mice also showed more severe lesions in the lung and kidney than those in the WT mice. Consistent with these results, WT mice under non-severe sepsis (90% survival) had higher expression of ACKR2 in these organs than mice under severe sepsis (no survival). Finally, the lungs from septic patients showed increased number of ACKR2+ cells compared to those of non-septic patients. Our data indicate that ACKR2 may have a protective role during sepsis, and the absence of ACKR2 leads to exacerbated chemokine accumulation, neutrophil infiltration and damage to vital organs

Synthesis of Analogues of Thyroid Hormones: Nuclear Receptor Modulators

Thyroid hormones are essential for the development and differentiation of all cells of the human body. This work reports the synthesis of some synthetic structural analogues of thyroid hormones, which may be modulators of the thyroid hormone receptor. The known compounds GC-1 (Sobetirome) and CG-24 were successfully prepared and two novel analogous molecules were also synthesized by a new and efficient synthetic methodology. DOI: http://dx.doi.org/10.17807/orbital.v7i3.73

Fused Smart Sensor Network for Multi-Axis Forward Kinematics Estimation in Industrial Robots

Flexible manipulator robots have a wide industrial application. Robot performance requires sensing its position and orientation adequately, known as forward kinematics. Commercially available, motion controllers use high-resolution optical encoders to sense the position of each joint which cannot detect some mechanical deformations that decrease the accuracy of the robot position and orientation. To overcome those problems, several sensor fusion methods have been proposed but at expenses of high-computational load, which avoids the online measurement of the joint’s angular position and the online forward kinematics estimation. The contribution of this work is to propose a fused smart sensor network to estimate the forward kinematics of an industrial robot. The developed smart processor uses Kalman filters to filter and to fuse the information of the sensor network. Two primary sensors are used: an optical encoder, and a 3-axis accelerometer. In order to obtain the position and orientation of each joint online a field-programmable gate array (FPGA) is used in the hardware implementation taking advantage of the parallel computation capabilities and reconfigurability of this device. With the aim of evaluating the smart sensor network performance, three real-operation-oriented paths are executed and monitored in a 6-degree of freedom robot

Homogeneización del proceso de tutorización del trabajo final de grado en estudiantes de Fisioterapia

La asignatura de trabajo final de grado (TFG) es una incorporación del espacio europeo con la que el alumno integra los contenidos adquiridos durante su formación. A pesar de intentar homogeneizar la formación, la inexistencia de instrucciones específicas produce diferencias en el desarrollo de los trabajos, incluso en una misma facultad debido a las diferencias metodológicas de los docentes, frustrando al alumnado. Este trabajo evaluó la influencia del uso de rúbricas y tutoriales como herramientas para homogeneizar el proceso de tutorización del TFG en el grado de satisfacción del alumnado con la asignatura. Durante dos años académicos, 9 profesores recibieron rúbricas y tutoriales para guiar la tutorización. El resto de profesores no recibieron ningún material adicional. Después de la presentación del trabajo, el alumnado contestó un cuestionario para evaluar el grado de satisfacción con el TFG. Los resultados mostraron que el uso de rúbricas no mejora la percepción de la organización de la asignatura ni del aprendizaje adquirido, así como tampoco aumenta el grado de satisfacción con el tutor y la asignatura. Sin embargo, esta metodología puede ser útil para minimizar la creencia de la exigencia de las tareas vinculadas al tutor, y con ello, la posible frustración del alumnado

FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts

Manufacturing processes are of great relevance nowadays, when there is a constant claim for better productivity with high quality at low cost. The contribution of this work is the development of a fused smart-sensor, based on FPGA to improve the online quantitative estimation of flank-wear area in CNC machine inserts from the information provided by two primary sensors: the monitoring current output of a servoamplifier, and a 3-axis accelerometer. Results from experimentation show that the fusion of both parameters makes it possible to obtain three times better accuracy when compared with the accuracy obtained from current and vibration signals, individually used

FPGA-Based Fused Smart Sensor for Dynamic and Vibration Parameter Extraction in Industrial Robot Links

Intelligent robotics demands the integration of smart sensors that allow the controller to efficiently measure physical quantities. Industrial manipulator robots require a constant monitoring of several parameters such as motion dynamics, inclination, and vibration. This work presents a novel smart sensor to estimate motion dynamics, inclination, and vibration parameters on industrial manipulator robot links based on two primary sensors: an encoder and a triaxial accelerometer. The proposed smart sensor implements a new methodology based on an oversampling technique, averaging decimation filters, FIR filters, finite differences and linear interpolation to estimate the interest parameters, which are computed online utilizing digital hardware signal processing based on field programmable gate arrays (FPGA)

Cerro Ortega (Villanueva de la Fuente, Ciudad Real): un abrigo sepulcral con inhumación multiple durante la transición neolítico-calcolítico al sur de la meseta

Este trabajo supone una actualización de la documentación disponible sobre la necrópolis del Cerro Ortega, que incluye nuevas dataciones absolutas y su contexto cultural. Se aportan datos y materiales inéditos sobre algunos sitios arqueológicos fundamentales para comprender los procesos de cambio cultural entre los IV y III milenios cal BC en el interior peninsular: Cerro Ortega (Villanueva de la Fuente), Villamayor de Calatrava, Vega de los Morales (Aldea del Rey), Cueva Maturras (Argamasilla de Alba) y La Jalbegada (San Lorenzo de Calatrava), entre otros. La presentación de pulseras de piedra, ídolos, adornos personales de concha, hueso, pizarra, clinocloro, clinoferrosilita y calcita, así como la orientación a eventos astronómicos de un refugio sepulcral, proporciona información sobre los aspectos simbólicos de las primeras comunidades productoras de La Mancha. El estudio permite avanzar en el conocimiento de las bases neolíticas que permitieron formar el substrato calcolítico de la Cultura de las Motillas

FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation

Plant transpiration is considered one of the most important physiological functions because it constitutes the plants evolving adaptation to exchange moisture with a dry atmosphere which can dehydrate or eventually kill the plant. Due to the importance of transpiration, accurate measurement methods are required; therefore, a smart sensor that fuses five primary sensors is proposed which can measure air temperature, leaf temperature, air relative humidity, plant out relative humidity and ambient light. A field programmable gate array based unit is used to perform signal processing algorithms as average decimation and infinite impulse response filters to the primary sensor readings in order to reduce the signal noise and improve its quality. Once the primary sensor readings are filtered, transpiration dynamics such as: transpiration, stomatal conductance, leaf-air-temperature-difference and vapor pressure deficit are calculated in real time by the smart sensor. This permits the user to observe different primary and calculated measurements at the same time and the relationship between these which is very useful in precision agriculture in the detection of abnormal conditions. Finally, transpiration related stress conditions can be detected in real time because of the use of online processing and embedded communications capabilities

Synthesis of Analogues of Thyroid Hormones: Nuclear Receptor Modulators

Thyroid hormones are essential for the development and differentiation of all cells of the human body. This work reports the synthesis of some synthetic structural analogues of thyroid hormones, which may be modulators of the thyroid hormone receptor. The known compounds GC-1 (Sobetirome) and CG-24 were successfully prepared and two novel analogous molecules were also synthesized by a new and efficient synthetic methodology. DOI: http://dx.doi.org/10.17807/orbital.v7i3.73

The next phases of the Migrante Project: Study protocol to expand an observatory of migrant health on the Mexico—U.S. border

BackgroundMexican migrants traveling across the Mexico-United States (U.S.) border region represent a large, highly mobile, and socially vulnerable subset of Mexican nationals. Population-level health data for this group is hard to obtain given their geographic dispersion, mobility, and largely unauthorized status in the U.S. Over the last 14 years, the Migrante Project has implemented a unique migration framework and novel methodological approach to generate population-level estimates of disease burden and healthcare access for migrants traversing the Mexico-U.S. border. This paper describes the rationale and history of the Migrante Project and the protocol for the next phases of the project.Methods/designIn the next phases, two probability, face-to-face surveys of Mexican migrant flows will be conducted at key crossing points in Tijuana, Ciudad Juarez, and Matamoros (N = 1,200 each). Both survey waves will obtain data on demographics, migration history, health status, health care access, COVID-19 history, and from biometric tests. In addition, the first survey will focus on non-communicable disease (NCD), while the second will dive deeper into mental health and substance use. The project will also pilot test the feasibility of a longitudinal dimension with 90 survey respondents that will be re-interviewed by phone 6 months after completing the face-to-face baseline survey.DiscussionInterview and biometric data from the Migrante project will help to characterize health care access and health status and identify variations in NCD-related outcomes, mental health, and substance use across migration phases. The results will also set the basis for a future longitudinal extension of this migrant health observatory. Analyses of previous Migrante data, paired with data from these upcoming phases, can shed light on the impact of health care and immigration policies on migrants’ health and inform policy and programmatic responses to improve migrant health in sending, transit, and receiving communities