Using the traditional microscope for mineral grain orientation determination: A prototype image analysis pipeline for optic-axis mapping (POAM).

This paper reports on the development of an open-source image analysis software 'pipeline' dedicated to petrographic microscopy. Using conventional rock thin sections and images from a standard polarising microscope, the pipeline can classify minerals and subgrains into objects and obtain information about optic-axis orientation. Five metamorphic rocks were chosen to test and illustrate the method. Thin sections were imaged using reflected and cross- and plane-polarised transmitted light. Images were taken at different angles of the polariser and analyser (360° with 10° steps), both with and without the full-lambda plate. The resulting image stacks were analysed with a modular pipeline for optic-axis mapping (POAM). POAM consists of external and internal software packages that register, segment, classify, and interpret the visible light spectra using object-based image analysis (OBIAS). The mapped fields-of-view and grain orientation stereonets of interest are presented in the context of whole-slide images. Two innovations are reported. First, we used hierarchical tree region merging on blended multimodal images to classify individual grains of rock-forming minerals into objects. Second, we assembled a new optical mineralogy algorithm chain that identifies the mineral slow axis orientation. The c-axis orientation results were verified with scanning electron microscopy electron backscattered diffraction (SEM-EBSD) data. For quartz (uniaxial) in a granite mylonite the test yielded excellent correspondence of c-axis azimuth and good agreement for inclination. For orthorhombic orthopyroxene in a deformed garnet harzburgite, POAM produced acceptable results for slow axis azimuth. In addition, the method identified slight anisotropy in garnet that would not be appreciated by traditional microscopy. We propose that our method is ideally suited for two commonly performed tasks in mineralogy. First, for mineral grain classification of entire thin sections scans on blended images to provide automated modal abundance estimates and grain size distribution. Second, for prospective fields of view of interest, POAM can rapidly generate slow axis crystal orientation maps from multiangle image stacks on conventionally prepared thin sections for targeting detailed SEM-EBSD studies.

Prevalence and Risk Factors of MASLD and Liver Fibrosis amongst the Penitentiary Population in Catalonia: The PRISONAFLD Study.

BACKGROUND AND AIMS: The prevalence of chronic non-communicable diseases, particularly metabolic syndrome (MetS), has increased among the prison population. Nevertheless, we have limited data on metabolic dysfunction-associated steatotic liver disease (MASLD), the hepatic manifestation of this syndrome. We aimed to investigate the prevalence and risk factors of MASLD and MASLD-associated liver fibrosis in the penitentiary population in Catalonia, Spain. METHOD: A cross-sectional observational study involving eight penitentiary centers. Participants had at least one metabolic disorder and were at a closed-regimen penitentiary. Individuals with concomitant liver diseases and/or alcohol risk consumption were excluded. Significant fibrosis and MASLD were defined as liver stiffness ≥8 kPa and a controlled attenuation parameter ≥275 dB/m by vibration-controlled transient elastography (VCTE), respectively. After exclusions, metabolic inmates with VCTE were analyzed. Logistic regression analysis was performed to identify predictors of MASLD and MASLD-associated significant fibrosis. RESULTS: Out of the 4338 inmates studied, 1290 (29.7%) had metabolic disorders, and 646 (14.9%) underwent VCTE. The mean age was 48.0 years (SD 12.1), and 89.5% were male. MASLD prevalence was 33.9%. Significant fibrosis and MASLD-associated significant fibrosis were found in 16.4% and 9.4% of inmates, respectively. In the multivariate analysis, T2D, waist circumference, MetS, and higher ALT values were identified as independent risk factors for MASLD and MASLD-associated significant fibrosis amongst the prison population. CONCLUSIONS: Metabolic disorders including MASLD are highly prevalent among inmates. The prevalence of significant fibrosis seems notably higher than that of the general population, underscoring the need for targeted screening programs and therapeutic interventions in the incarcerated population.

[Transculturation and validation of a Questionnaire Factors Influencing Organ Donation]. / Transculturación y validación del cuestionario Factores que influyen en la Donación de Órganos.

Background: There are validated questionnaires in Spanish that evaluate the factors that influence organ donation, but they are not designed for the open population or do not delve into various aspects such as the one proposed. Objective: Validate an instrument to evaluate the factors that influence organ donation in Mexico. Material and methods: Phase 1: Development of the instrument. Translation into Spanish of the questionnaire "Factors Inffluencing Organ Donation in Qatar", adapted by experts in donation and clinimetry. Simultaneously, the definitive version of the questionnaire "Factors that Influence Organ Donation" (FIDO) and the questionnaire "International Donor Collaborative Project" were applied to patients, relatives and staff of a tertiary hospital in Puebla, Mexico. Mind a week after 200 respondents. Cronbach's Alpha (AC) (internal consistency), Intraclass Correlation Coefficient (ICC) (external consistency), and Phi (Phi) and Chi square Coefficient (concurrent validity in intention to donate) were obtained. Results: AC and ICC by domain: Knowledge 0.625 and 0.372; Attitudes 0.776 and 0.761; Beliefs 0.649 and 0.633; Intentions 0.126 and 0.123; Phi: 0.976, Chi square: 2.358 (p = 0.125). Conclusions: The FIDO questionnaire is valid and consistent to assess knowledge, attitudes, beliefs and intentions in organ donation in the general Mexican population.

Introducción: existen cuestionarios validados en español que evalúan los factores que influyen en la donación de órganos, pero no están diseñados para población abierta o no exploran aspectos diversos como el propuesto. Objetivo: validar un instrumento para evaluar los factores que influyen en la donación de órganos en México. Material y métodos: fase 1: Elaboración del instrumento. Traducción al español del cuestionario Factors Influencing Organ Donation in Qatar, adaptado por expertos en donación y clinimetría. Se realizaron pruebas piloto hasta lograr acuerdo en dos rondas consecutivas. Fase 2: Validez y consistencia. Simultáneamente se aplicó la versión definitiva del cuestionario Factores que Influyen en la Donación de Órganos (FIDO) y el cuestionario Proyecto Colaborativo Internacional Donante a pacientes, familiares y personal de un hospital de tercer nivel de Puebla, México. Se reaplicó telefónicamente una semana después a 200 respondientes. Se utilizó alfa de Cronbach (AC) (consistencia interna), coeficiente de correlación intraclase (CCI) (consistencia externa), y coeficiente de Phi (Phi) y Chi cuadrada (validez concurrente en intención de donar). Resultados: AC y CCI por dominio: Conocimiento 0.625 y 0.372; Actitudes 0.776 y 0.761; Creencias 0.649 y 0.633; Intenciones 0.126 y 0.123; Global 0.774 y 0.675, respectivamente (p = 0.000); Phi: 0.976, Chi cuadrada: 2.358 (p = 0.125). Conclusiones: el cuestionario FIDO es válido y consistente para explorar: conocimiento, actitudes, creencias e intenciones en donación de órganos en población general mexicana.

Incidence and molecular epidemiology of hepatitis C virus reinfection in prisons in Catalonia, Spain (Re-HCV study).

Hepatitis C virus (HCV) reinfection may hamper HCV elimination in prisons. We aimed to (i) determine the reinfection rate in people treated for HCV in Catalan prisons, (ii) measure reinfection in people entering prisons, and (iii) characterize the molecular epidemiology of HCV in prisons and people who inject drugs (PWID) in the community. Re-HCV was a prospective study in eight prisons (2019-2020) including two groups: (1) people cured with treatment in prison and followed-up every 6 months, and (2) people testing HCV-RNA positive at incarceration. Bio-behavioral data were collected. HCV isolates were sequenced and phylogenetically analyzed with those of PWID in the community. Reinfection follow-up after treatment was achieved in 97 individuals (103.05 person-years). Two reinfections were detected, resulting in an incidence ≤ 10/100 person-years. Among people entering prison, 2% (359/17,732) were viremic, of which 334 (93.0%) were included, and 44 (13.5%) presented with reinfection (84.7% being PWID). Frequently, HCV isolates in prisons and PWID in the community were phylogenetically related. Although HCV reinfection is low after treatment, it is common in people entering Catalan prisons. To maintain a low HCV prevalence in prisons, harm-reduction services and test-and-treat programs for PWID should be strengthened both inside and outside prisons.

Validity of the Maturation Stage Method in the Individual Assessment of Midpalatal Suture Ossification Before Maxillary Expansion: A Systematic Review / Validez del Método de la Etapa de Maduración en la Evaluación Individual de la Osificación de la Sutura Palatina Mediana Previo a la Expansión Maxilar: Una Revisión Sistemática

In 2013, midpalatal suture maturation stage assessment was proposed for the evaluation of patients before performing maxillary expansion. In this study, we aimed to analyze the association between the midpalatal suture maturation stages assessed by CBCT, according to the method described by Angelieri et al., and other objective methods used to assess skeletal maturation or bone fusion. A computerized database search was conducted using PubMed, Cochrane Library, SciELO, LILACS, Web of Science, and Scopus, without language restriction. Unpublished literature was searched on ClinicalTrials.gov, the National Research Register, and Pro-Quest Dissertation Abstracts and Thesis database. Authors were contacted when necessary, and reference lists of the included studies were screened. Search terms included midpalatal suture, maturation, correlation, diagnostic performance, classification, evaluation, assessment, and relationship. Quality assessment was performed using the Observational Cohort and Cross-Sectional Studies tool developed by the National Heart, Lung, and Blood Institute. Eleven studies met the inclusion criteria. Of all the studies included, 81.9% had fair qualit y and 18.1% good quality, respectively. Eight out of eleven studies assessed the correlation between the midpalatal suture maturation method and the skeletal maturity evaluated by CVM method (Spearman's correlation coefficient: 0.244-0.908). Two out of eleven studies evaluated the correlation between midpalatal suture maturation method and the skeletal maturity assessed by HWM method (Spearman's correlation coefficient: 0.904-0.905) Even though midpalatal suture maturation stage assessment needs an exhaustive training and calibration process, it is a valid method to evaluate skeletal maturation or bone fusion. From a clinical perspective, for patients at CS4, CS5 and CS6, an assessment of the midpalatal suture on CBCT is indicated. A similar assessment should be done in patients at SMI 7-9.

En 2013, se propuso un nuevo método para la evaluación del estadio de maduración de la sutura palatina mediana para la evaluación de los pacientes antes de realizar la expansión maxilar. En este estudio, nuestro objetivo fue analizar la asociación entre las etapas de maduración de la sutura palatina mediana evaluada en CBCT, según el método descrito por Angelieri et al., y otros métodos objetivos utilizados para evaluar la maduración esquelética o la fusión ósea. Se realizó una búsqueda en las bases de datos PubMed, Cochrane Library, SciELO, LILACS, Web of Science y Scopus, sin restricción de idioma. Se buscó literatura no publicada en ClinicalTrials.gov, el Registro Nacional de Investigación y la base de datos Pro-Quest Dissertation Abstracts and Thesis. Se estableció contacto con los autores cuando fue necesario y se revisaron las listas de referencias de los estudios incluidos. Los términos de búsqueda incluyeron sutura palatina mediana, maduración, correlación, rendimiento diagnóstico, clasificación, evaluación, valoración y relación. La evaluación de la calidad se realizó mediante la herramienta de Estudios transversales y de cohortes observacionales desarrollada por el Instituto Nacional del Corazón, los Pulmones y la Sangre. Once estudios cumplieron con los criterios de inclusión. Del total de estudios incluidos, el 81.9% tuvo calidad regular y el 18.1% calidad buena, respectivamente. Ocho de once estudios evaluaron la correlación entre el método de maduración de la sutura palatina mediana y la madurez esquelética evaluada por el método CVM (coeficiente de correlación de Spearman: 0.244-0.908). Dos de once estudios evaluaron la correlación entre el método de maduración de la sutura palatina mediana y la madurez esquelética evaluada por el método HWM (coeficiente de correlación de Spearman: 0.904-0.905). Aunque la evaluación del estado de maduración de la sutura palatina mediana necesita un proceso exhaustivo de entrenamiento y calibración, es un método válido para evaluar la maduración esquelética o la fusión ósea. Desde una perspectiva clínica, para pacientes en CS4, CS5 y CS6, está indicada una evaluación de la sutura palatina mediana en CBCT. Se debe realizar una evaluación similar en pacientes con SMI 7-9.

Thrust Vectoring Control for Heavy UAVs, Employing a Redundant Communication System.

Recently, various research studies have been developed to address communication sensors for Unmanned Aerial Systems (UASs). In particular, when pondering control difficulties, communication is a crucial component. To this end, strengthening a control algorithm with redundant linking sensors ensures the overall system works accurately, even if some components fail. This paper proposes a novel approach to integrate several sensors and actuators for a heavy Unmanned Aerial Vehicle (UAV). Additionally, a cutting-edge Robust Thrust Vectoring Control (RTVC) technique is designed to control various communicative modules during a flying mission and converge the attitude system to stability. The results of the study demonstrate that even though RTVC is not frequently utilized, it works as well as cascade PID controllers, particularly for multi-rotors with mounted flaps, and could be perfectly functional in UAVs powered by thermal engines to increase the autonomy since the propellers cannot be used as controller surfaces.

Midpalatal Suture Maturation Stage in 10- to 25-Year-Olds Using Cone-Beam Computed Tomography-A Cross-Sectional Study.

In this study, we aimed to evaluate the frequency of midpalatal maturational stages in a Chilean urban sample of adolescents, post-adolescents and young adults, associated with chronological age and sex, by assessing CBCT scan images. Tomographic images in axial sections of the midpalatal sutures from 116 adolescents and young adults (61 females and 55 males, 10-25 years old) were classified according to their morphologic characteristics in five maturational stages (A, B, C, D and E), as proposed by Angelieri et al. The sample was divided into three groups: adolescents, post-adolescents and young adults. Three previously calibrated examiners (radiologist, orthodontist and general dentist) analyzed and classified the images. Stages A, B and C were considered to be an open midpalatal suture, and D and E were considered to be a partially or totally closed midpalatal suture. The most frequent stage of maturation was D (37.9%), followed by C (24%) and E (19.6%). The possibility of finding closed midpalatal sutures in individuals of 10 to 15 years was 58.4%, and in subjects aged 16 to 20 and 21 to 25 years, it was 51.7% and 61.7%, respectively. In males, Stages D and E were present in 45.4%; for females, this prevalence was 68.8%. Individual assessment of the midpalatal suture in each patient is of crucial importance before making the clinical decision of which is the best maxillary expansion method. Due to the extensive calibration and training required, it is advisable to always request a report from a radiologist. Individual evaluation with 3D imaging is recommended because of the great variability observed in the ossification of midpalatal sutures in adolescents, post-adolescents and young adults.

Design of an energy vulnerability index - spatial and temporal analysis: case of study Colombia.

Climate change might affect energy production and therefore the energy security of a country or region. This situation may impact renewable energy sources such as hydro power, leading to consequences on energy transition strategies. This might be critical in sensitive regions to climate change, one of them being the Caribe and northern South America. Since there are numerous energy systems based on sensitive technologies worldwide, it is necessary to introduce techniques to analyze the effects of climate change on different possible energy transition paths. The goal of this study is to develop and assess a method to analyze one of the most critical effects faced by climate change for societies worldwide: the sensitivity of the energy systems to climate change. This is especially critical in developing countries, in locations where temperatures will strongly increase in the following years. To assess this effect, this study proposes a vulnerability index (VI) to evaluate the vulnerability of an on-grid electricity system to climate change at the national and regional scales. This index was assessed using a Monte-Carlo method for uncertainty. The case of Colombia, a country with a system based on hydropower (> 70%) is used to illustrate the method. VI is based on variables related to climate change, the energy matrix, and vulnerability. Results show that the regions with the larger vulnerability correspond to the more energy-demanding ones. The VI for these regions is greater than 50% of the maximum possible vulnerability; meanwhile, the vulnerability of the whole country was estimated as 43%.

A Proposed System for Multi-UAVs in Remote Sensing Operations.

This paper proposes the design of the communications, control systems, and navigation algorithms of a multi-UAV system focused on remote sensing operations. A new controller based on a compensator and a nominal controller is designed to dynamically regulate the UAVs' attitude. The navigation system addresses the multi-region coverage trajectory planning task using a new approach to solve the TSP-CPP problem. The navigation algorithms were tested theoretically, and the combination of the proposed navigation techniques and control strategy was simulated through the Matlab SimScape platform to optimize the controller's parameters over several iterations. The results reveal the robustness of the controller and optimal performance of the route planner.

Seguridad y satisfacción de fumigadores para el control de enfermedades transmitidas por vectores en Arequipa / Safety and satisfaction of fumigators for the control of vector-borne diseases in Arequipa

Las enfermedades transmitidas por vectores (ETV) van en repunte, la seguridad y satisfacción del equipo que trabaja en el área de fumigación son prioridad, ya que son el personal clave y estratégico para hacer frente a estas enfermedades que son un gran problema de la salud pública a nivel mundial. Como objetivo se propuso deteminar el nivel de seguridad y satisfacción de fumigadores para el control de enfermedades transmitidas por vectores en Arequipa durante el primer semestre del año 2022. La investigación fue descriptiva, experimental de corte transversal con una muestra de 58 fumigadores. Como instrumento de recolección de datos se aplicó una encuesta validada por expertos que consta de tres secciones con diversos ítems para describir la muestra, perfil sociodemográfico, actividad ocupacional, uso de equipos de protección personal, condiciones de salud y satisfacción de empleo. Se utilizó el programa Excel para elaborar la base de datos y el programa EPIDAT 3.0 para frecuencias, porcentajes e IC 95%. Como resultado, 74,14% eran del sexo masculino y 25,86% femenino, 70,69% tenían 41 años o más, 70,69% tenían más de 10 años de ambigüedad, 32,76% tenían unión de hecho, 48,28% tenían estudios secundarios, por otra parte, 94,83% de colaboradores expuestos a Deltametrina <1 hora en dilución y carga, usan mascarillas y filtros, 86,21% usan guantes, bragas y delantales y 84,48% usa gafas, 53,45% sentían sensación de naúseas o mareos, 93,10% estaban satisfechos con el ambiente laboral. Como conclusión, se hace necesario continuar con investigaciones semejantes en diferentes zonas de Perú(AU)

Vector-borne diseases (VTE) are on the rise, the safety and satisfaction of the team that works in the fumigation area are a priority, since they are the key and strategic personnel to deal with these diseases, which are a major health problem public worldwide. The objective was to determine the level of safety and satisfaction of fumigators for the control of vector-borne diseases in Arequipa during the first semester of 2022. The research was descriptive, experimental, cross-sectional with a sample of 58 fumigators. As a data collection instrument, a survey validated by experts was applied, consisting of three sections with various items to describe the sample, sociodemographic profile, occupational activity, use of personal protective equipment, health conditions, and job satisfaction. The Excel program was used to prepare the database and the EPIDAT 3.0 program for frequencies, percentages and 95% CI. As a result, 74.14% were male and 25.86% female, 70.69% were 41 years of age or older, 70.69% had more than 10 years of ambiguity, 32.76% had a common-law union, 48 28% had secondary education, on the other hand, 94.83% of employees exposed to Deltamethrin <1 hour in dilution and load wear masks and filters, 86.21% wear gloves, panties and aprons and 84.48% wear glasses, 53.45% felt nauseated or dizzy, 93.10% were satisfied with the work environment. In conclusion, it is necessary to continue with similar investigations in different areas of Peru(AU)

Assessing kidney development and disease using kidney organoids and CRISPR engineering.

The differentiation of human pluripotent stem cells (hPSCs) towards organoids is one of the biggest scientific advances in regenerative medicine. Kidney organoids have not only laid the groundwork for various organ-like tissue systems but also provided insights into kidney embryonic development. Thus, several protocols for the differentiation of renal progenitors or mature cell types have been established. Insights into the interplay of developmental pathways in nephrogenesis and determination of different cell fates have enabled the in vitro recapitulation of nephrogenesis. Here we first provide an overview of kidney morphogenesis and patterning in the mouse model in order to dissect signalling pathways that are key to define culture conditions sustaining renal differentiation from hPSCs. Secondly, we also highlight how genome editing approaches have provided insights on the specific role of different genes and molecular pathways during renal differentiation from hPSCs. Based on this knowledge we further review how CRISPR/Cas9 technology has enabled the recapitulation and correction of cellular phenotypes associated with human renal disease. Last, we also revise how the field has positively benefited from emerging technologies as single cell RNA sequencing and discuss current limitations on kidney organoid technology that will take advantage from bioengineering solutions to help standardizing the use of this model systems to study kidney development and disease.

Spatio-temporal analysis of PM2.5 and policies in Northwestern South America.

This paper analyzes the spatio-temporal variations, and exceedances of the PM2.5 concentrations in Northwestern South America at different scales to assess the implemented policies and identify the involved phenomena. Through reanalysis and ground-based data, we found that high PM2.5 levels in most cities of the region are caused by wildfires and local emissions, including the capital cities of Venezuela, Ecuador, Colombia, and Panamá. In-situ measurements suggest that the majority of the cities comply with the local but not with the WHO guidelines, indicating that local annual limits should be more restrictive. Two peaks in the daily variations of PM2.5 (related to vehicle emissions) and also a steeper decrease around noon (associated with an increase in wind speed and in the boundary layer height) were identified. The trend-analysis shows that Bogotá and Medellín have a decreasing PM2.5 annual-trend (between -0.8µgm-3 and -1.7µgm-3) that corresponds to effective policies. In contrast, Cali has a positive annual-trend (0.8µgm-3) most likely because of Short-Range Transport produced by a northerly-flow from a highly polluted neighboring city, which also affects Cali's PM2.5 diurnal cycle, or by local-dynamics. The exceedances show that the policies are working on an annual but not at a daily time-scale. These results serve as a first input for additional studies, with the aim of gaining a better understanding of the contaminant before adapting current policies or implementing new policies and measures that need to include a joint international, regional, and inter-city efforts regarding pollution transport.

Performance Analysis of Localization Algorithms for Inspections in 2D and 3D Unstructured Environments Using 3D Laser Sensors and UAVs.

One of the most relevant problems related to Unmanned Aerial Vehicle's (UAV) autonomous navigation for industrial inspection is localization or pose estimation relative to significant elements of the environment. This paper analyzes two different approaches in this regard, focusing on its application to unstructured scenarios where objects of considerable size are present, such as a truck, a wind tower, an airplane, a building, etc. The presented methods require a previously developed Computer-Aided Design (CAD) model of the main object to be inspected. The first approach is based on an occupancy map built from a horizontal projection of this CAD model and the Adaptive Monte Carlo Localization (AMCL) algorithm to reach convergence by considering the likelihood field observation model between the 2D projection of 3D sensor data and the created map. The second approach uses a point cloud prior map of the 3D CAD model and a scan-matching algorithm based on the Iterative Closest Point Algorithm (ICP) and the Unscented Kalman Filter (UKF). The presented approaches have been extensively evaluated using simulated as well as previously recorded real flight data. We focus on aircraft inspection as a test example, but our results and conclusions can be directly extended to other applications. To support this assertion, a truck inspection has been performed. Our tests reflected that creating a 2D or 3D map from a standard CAD model and using a 3D laser scan on the created maps can optimize the processing time, resources and improve robustness. The techniques used to segment unexpected objects in 2D maps improved the performance of AMCL. In addition, we showed that moving around locations with relevant geometry after take-off when running AMCL enabled faster convergence and high accuracy. Hence, it could be used as an initial position estimation method for other localization algorithms. The ICP-NL method works well in environments with elements other than the object to inspect, but it can provide better results if some techniques to segment the new objects are applied. Furthermore, the proposed ICP-NL scan-matching method together with UKF performed faster, in a more robust manner, than NDT. Moreover, it is not affected by flight height. However, ICP-NL error may still be too high for applications requiring increased accuracy.

Class I MHC Polymorphisms Associated with Type 2 Diabetes in the Mexican Population.

Type 2 diabetes (T2D) has been linked to the expression of Human Leukocyte Antigens, principally to the Major Histocompatibility Complex Class II, with only scarce reports of Major Histocompatibility Complex Class I in specific populations. The objective of the present work was to explore the presence of polymorphisms in the MHC Class I related to T2D in the Mexican population using the Genome-Wide Association Studies Slim Initiative in Genomic Medicine of the Americas (GWAS SIGMA) database. This database contains information on 3848 Mexican individuals with T2D and 4366 control individuals from the same population without a clinical or hereditary history of the disease. The searching criteria considered a p-value of <0.005 and an odds ratio (OR) of >1.0. Ten novel, statistically significant nucleotide variants were identified: four polymorphisms associated with HLA-A (A*03:01:01:01) and six with HLA-C (C*01:02:01:01). These alleles have a high prevalence in Latin American populations and could potentially be associated with autoimmunity mechanisms related to the development of T2D complications.

A diabetic milieu increases ACE2 expression and cellular susceptibility to SARS-CoV-2 infections in human kidney organoids and patient cells.

It is not well understood why diabetic individuals are more prone to develop severe COVID-19. To this, we here established a human kidney organoid model promoting early hallmarks of diabetic kidney disease development. Upon SARS-CoV-2 infection, diabetic-like kidney organoids exhibited higher viral loads compared with their control counterparts. Genetic deletion of the angiotensin-converting enzyme 2 (ACE2) in kidney organoids under control or diabetic-like conditions prevented viral detection. Moreover, cells isolated from kidney biopsies from diabetic patients exhibited altered mitochondrial respiration and enhanced glycolysis, resulting in higher SARS-CoV-2 infections compared with non-diabetic cells. Conversely, the exposure of patient cells to dichloroacetate (DCA), an inhibitor of aerobic glycolysis, resulted in reduced SARS-CoV-2 infections. Our results provide insights into the identification of diabetic-induced metabolic programming in the kidney as a critical event increasing SARS-CoV-2 infection susceptibility, opening the door to the identification of new interventions in COVID-19 pathogenesis targeting energy metabolism.

Fast Multi-UAV Path Planning for Optimal Area Coverage in Aerial Sensing Applications.

This paper deals with the problems and the solutions of fast coverage path planning (CPP) for multiple UAVs. Through this research, the problem is solved and analyzed with both a software framework and algorithm. The implemented algorithm generates a back-and-forth path based on the onboard sensor footprint. In addition, three methods are proposed for the individual path assignment: simple bin packing trajectory planner (SIMPLE-BINPAT); bin packing trajectory planner (BINPAT); and Powell optimized bin packing trajectory planner (POWELL-BINPAT). The three methods use heuristic algorithms, linear sum assignment, and minimization techniques to optimize the planning task. Furthermore, this approach is implemented with applicable software to be easily used by first responders such as police and firefighters. In addition, simulation and real-world experiments were performed using UAVs with RGB and thermal cameras. The results show that POWELL-BINPAT generates optimal UAV paths to complete the entire mission in minimum time. Furthermore, the computation time for the trajectory generation task decreases compared to other techniques in the literature. This research is part of a real project funded by the H2020 FASTER Project, with grant ID: 833507.