Search

El presente artículo tiene por finalidad determinar si el mantenimiento vial se asocia significativamente con la satisfacción del usuario en Lima Metropolitana 2023. El método utilizado fue el hipotético-deductivo, muestra 100 usuarios, el diseño fue no experimental, de tipo descriptivo correlacional, desarrollado en la aplicación y las herramientas con dos cuestionarios y hojas de recolección de datos, los cuales fueron agregados en SPSS y Microsoft Excel luego de crear base de datos. Los resultados en el coeficiente de correlación Rho de Spearman de 0,919 establece una relación altamente significativa entre el mantenimiento rutinario y la satisfacción del usuario. Se concluyó que la gestión del mantenimiento es inadecuada en las vías investigadas. Los datos relacionados con la satisfacción del usuario muestran un coeficiente de correlación positivo de 0,891 y un resultado de significación bilateral de 0,000.

In this meta-analysis, we analyzed the efficacy and safety of anterior vertebral body tethering in patients with adolescent idiopathic scoliosis.We performed a literature search and analyzed the following data: baseline characteristics, efficacy measures (corrections of the main thoracic curve, proximal thoracic curve, and thoracolumbar curve, thoracic kyphosis, lumbosacral lordosis, rib hump, lumbar prominence and SRS-22 scores, and complications. Analyses were performed with Cochrane's Review Manager version 5.4.Twelve studies met the inclusion criteria. Significant corrections of the main thoracic (MD 22.51, 95% CI 12.93 to 32.09) proximal thoracic (MD 10.14°, 95% CI 7.25° to 13.02°), and thoracolumbar curve (MD 12.16, 95% CI 9.14 to 15.18) were found. No statistically significant corrections were observed on the sagittal plane assessed by thoracic kyphosis (MD - 0.60°, 95% CI - 2.45 to 1.26; participants = 622; studies = 4; I2 = 36%) and lumbosacral lordosis (MD 0.19°, 95% CI - 2.16° to 2.54°). Significant corrections were identified for rib hump (MD 5.26°, 95% CI 4.19° to 6.32°) and lumbar prominence (MD 1.20°, 95% CI 0.27° to 2.13°) at final follow-up. Significant improvements of total SRS-22 score (MD - 0.96, 95% CI - 1.10 to - 0.83) were achieved at final follow-up. The most common complication was overcorrection (8.0%) and tether breakage (5.9%), with a reoperation rate of 10.1%.Anterior vertebral body tethering is effective to reduce the curve in the coronal plane and clinical deformity. Maximum correction is achieved at one year. The method should, however, be optimized to reduce the rate of complications.

The aeronautic industry is facing many challenges regarding the lifetime, weight and accuracy that aircraft skins must comply to meet stringent structural and aerodynamic requirements. Currently, mechanical milling of aircraft skin parts of 2024-T3 aluminum alloy is displacing the highly pollutant chemical milling. Consequently, flexible and reconfigurable vacuum holding fixtures are being increasingly employed, because they are adaptable to several part geometries, but, since their rigidity is extremely reduced, the low stiffness of parts limits severely their deployment. Aiming to harness the full potential of these holding systems for aluminum alloy skin parts, a complete analysis of final thickness achieved and cutting force is developed. Thin floor parts of different geometries are pocket milled, simply screwed at their corners, emulating a skin part supported by four vacuum cups. Process forces are continuously monitored, and final thickness is measured. It has been proven that the reduction of mass and stiffness during milling causes a corresponding reduction of the natural frequencies of the parts. Also, as long as natural frequencies are not excited, final thickness error is almost constant and not affected by the tool position, but only by the initial geometry and fixtures distribution of the part. Additionally, a new cutting force model for skin parts is empirically calculated. Unlike models designed for fully supported parts, this model is designed for skins held in flexible fixtures. It has a relative error of 5.6% and it allows to optimize the trajectory, geometry and support distribution, thus boosting the use of flexible fixtures. Financial support from the Basque Government under the ELKARTEK Program (EKOHEGAZ project, grant number KK-2021/00092) is gratefully acknowledged by the authors.

In this meta-analysis, we aim to compare ketamine use versus a control group (saline solution) during induction of anesthesia in adolescent idiopathic scoliosis patients undergoing fusion surgery in terms of postoperative opioid consumption, pain control, and side effects.A PubMed search of studies published over the last 20 years using the descriptor/terms "ketamine AND scoliosis" was performed. Baseline characteristics of each article were obtained and efficacy measures analyzed (morphine equivalent treatment at 24, 48, and 72 h postoperatively, complications (vomiting/nausea and pruritus), length of hospital stay (days); and pain score (VAS)) (Review Manager 5.4 software package).Five randomized clinical trials were included. Morphine administration showed statistically significant differences at 24 and 48 h (MD - 0.15, 95% CI - 0.18 to - 0.12) and (MD - 0.26, 95% CI - 0.31 to - 0.21) between the ketamine and control (saline solution), respectively. No intergroup differences were found regarding nausea/vomiting and pruritus (OR 0.77, 95% CI 0.35 to 1.67) and (OR 0.71, 95% CI 0.31 to 1.62), respectively, same as for the pain score (MD - 0.75, 95% CI - 1.71 to 0.20).The use intraoperative and postoperative continuous low doses of ketamine significantly reduces opioid use throughout the first 48 h in patients with AIS who undergo posterior spinal fusion.

In the present scenario, citizens' concern about environment preservation creates a necessity to mature more ecological and energy-efficient manufacturing processes and materials. The usage of glass fiber reinforced polymer (GFRP) is one of the emerging materials to replace the traditional metallic alloys in the automotive and aircraft industries. However, it has been comprehended to arise a sustainable substitute to conventional emulsion-based coolants in machining processes for dropping the destructive effects on the ecosystem without degrading the machining performance. So, in this study, the comparison of the two sustainable cutting fluid approaches, i.e., dry and LCO2, has been presented based on machining performance indicators like temperature, modulus of cutting force, tool wear, surface roughness, power consumption, and life cycle assessment (LCA) analysis for end milling of GFRP. The cutting condition of LCO2 has been found to be superior in terms of machining performance by providing 80% of lower cutting zone temperature, tool wear, 5% lower modulus of cutting force, and reduced surface roughness with 9% lower power consumption that has been observed in the case of LCO2 in comparison with dry machining. However, to compress the CO2 for converting in liquid form, a higher amount of energy and natural resources is consumed resulting in a higher impact on the environment in comparison with dry machining. Considering the 18 impact categories of ReCiPe midpoint (H) 2016, 95% higher values of impacts have been observed in the case of LCO2 in comparison with dry machining. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. The authors received financial support from Basque Government in the Excellence University Group system call, grant IT 1573-22.

Resumen Antecedentes y objetivo Actualmente existe cierta divergencia entre las principales guias de practica clinica sobre el manejo de los factores de riesgo de la enfermedad arterial periferica (EAP). El objetivo de este proyecto es conocer el manejo de los factores de riesgo de la EAP en la practica clinica y alcanzar un consenso multidisciplinar sobre las estrategias que se tienen que seguir para optimizar su identificacion, tratamiento y seguimiento. Metodologia Consenso multidisciplinar mediante metodologia Delphi. Resultados En la consulta participaron 130 profesionales con amplia experiencia en EAP. Los resultados sugieren que para optimizar el control de los factores de riesgo, los esfuerzos deben dirigirse a: 1) promover la involucramiento y concienciacion de todas las especialidades en la identificacion y el cribado de la enfermedad; 2) garantizar la posibilidad de realizar el indice tobillo-brazo (ITB) en todas las especialidades implicadas; 3) fomentar estrategias de deshabituacion del tabaquismo mediante el uso de farmacos, programas o derivaciones a unidades especializadas; 4) promover el seguimiento de una alimentacion adecuada basada en la dieta mediterranea y la prescripcion de ejercicio diario; 5) concienciar sobre la importancia de alcanzar unos valores de colesterol unido a lipoproteinas de baja densidad (cLDL) inferiores a 70 mg/Dl, especialmente en pacientes sintomaticos, pero tambien en asintomaticos ( Conclusion Las 22 estrategias consensuadas en el presente documento pretenden ayudar a los profesionales a optimizar el manejo multidisciplinar de los factores de riesgo de la EAP.

There is currently a degree of divergence among the main clinical practice guidelines on the management of risk factors for peripheral arterial disease (PAD). This project aims to gain understanding of the management of PAD risk factors in clinical practice and to reach a multidisciplinary consensus on the strategies to be followed in order to optimize its identification, treatment, and follow-up.A multidisciplinary consensus following the Delphi methodology.Professionals (n = 130) with extensive experience in PAD participated in this consultation. The results suggest that in order to optimize the control of risk factors, efforts should be aimed at: (1) promoting the involvement and awareness of all specialists in the identification of and screening for the disease; (2) guaranteeing the possibility of evaluating the ankle-brachial index (ABI) in all the medical specialties involved; (3) promoting strategies for patients to quit smoking through the use of drugs, programs, or referrals to specialized units; (4) promoting an appropriate Mediterranean-based diet and the prescription of daily exercise; (5) raising awareness of the importance of ensuring LDL cholesterol values below 70 mg/dL, especially in symptomatic but also in asymptomatic patients (55 mg/dL following the publication of the ESC/EAS guide); (6) recommending the use of antiplatelet therapy in asymptomatic patients with diabetes mellitus (DM) and/or a pathological ABI; and (7) protocolizing the annual evaluation of ABI in high-risk patients.This document presents the 22 agreed-upon strategies which are intended to help professionals optimize multidisciplinary management of PAD risk factors.

Today, the growth of the cosmetic industry and dramatic technological advances have led to the creation of functional cosmetical products that enhance beauty and health. Such products can be defined as topical cosmetic drugs to improve health and beauty functions or benefits. Implementing nanotechnology and advanced engineering in these products has enabled innovative product formulations and solutions. The search included organic molecules used as cosmeceuticals and nanoparticles (NPs) used in that field. As a result, this document analyses the use of organic and inorganic particles, metals, metal-oxides, and carbon-based particles. Additionally, this document includes lipid and nanoparticles solid lipid systems. In conclusion, using NPs as vehicles of active substances is a potential tool for transporting active ingredients. Finally, this review includes the nanoparticles used in cosmeceuticals while presenting the progress made and highlighting the hidden challenges associated with nanocosmeceuticals.

Jellyfish have a worldwide distribution and are unfortunately renowned for their direct adverse effects on human activities: tourism, fishing, and aquaculture. Although recent research suggests that jellyfish populations are increasing, evidence also shows that jellyfish abundances fluctuate with climatic cycles and spatial patterns. The ocean is impressively large on a human scale and considerably impacts the weather, temperature, and food supply of humans and other organisms. Despite its size and impact on the lives of every organism, the ocean remains a great unknown. Marine geography explores the environment of the oceans and seas and the relationship between society and these water bodies and investigates global challenges of changing ocean systems. However, until the beginning of the twenty-first century, there were few studies of the ocean in geography. This chapter deals with Marine Geography and the Sustainable Development Goals (Goal 14: life below water) to analyze the sightings of jellyfish and other gelatinous organisms on the southern coasts of the Iberian Peninsula (Andalusia region, southern Spain) by using Geographic Information Systems (GIS). Our results show that jellyfish sightings and other gelatinous organisms show spatial and temporal patterns.Pelagia noctilucawas the most observed jellyfish species in the study area, mainly on the Mediterranean coast of Andalusia (southern Spain). Mapping jellyfish sightings can contribute to integrated coastal management regarding human activities and environmental problems.

Brownian diffusion of spherical nanoparticles is usually exploited to ascertain the rheological properties of complex media. However, the behavior of the tracer particles is affected by a number of phenomena linked to the interplay between the dynamics of the particles and polymer coils. For this reason, the characteristic lengths of the dispersed entities, depletion phenomena, and the presence of sticking conditions have been observed to affect the translational diffusion of the probes. On the other hand, the retardation effect of the host fluid on the rotational diffusion of nonspherical particles is less understood. We explore the possibility of studying this phenomenon by analyzing the electro-orientation of the particles in different scenarios in which we vary the ratio between the particle and polymer characteristic size, and the geometry of the particles, including both elongated and oblate shapes. We find that the Stokes−Einstein relation only applies if the radius of gyration of the polymer is much shorter than the particle size and when some repulsive interaction between both is present., Junta de Andalucia, European Commission European Commission, Ministerio de Ciencia, Innovaci?n y Universidades, Spain B-FQM-141-UGR18 P18-FR-3583 PGC2018- 098770-B-I00 PID2021-127427NB-I00 A-FQM-492- UGR20 TED2021-131855B-I00

The accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignores the fact that many unimportant objects are small, distant, or background, and hence, their misdetections have less impact than those for closer, larger, and foreground objects in domains such as autonomous driving. Moreover, sporadic misdetections are irrelevant since confidence on detections is typically averaged across consecutive frames, and detection devices (e.g. cameras, LiDARs) are often redundant, thus providing fault tolerance. This paper exploits such intrinsic fault tolerance of the CBOD process, and assesses in an automotive case study to what extent CBOD can tolerate approximation coming from multiple sources such as lower precision arithmetic, approximate arithmetic units, and even random faults due to, for instance, low voltage operation. We show that the accuracy impact of those sources of approximation is within 1% of the baseline even when considering the three approximate domains simultaneously, and hence, multiple sources of approximation can be exploited to build highly efficient accelerators for CBOD in cars. This work is partially funded by the DRAC project, which is co-financed by the European Union Regional Development Fund within the framework of the ERDF Operational Program of Catalonia 2014–2020 with a grant of 50% of total cost eligible. This work has also been partially supported by the Spanish Ministry of Science and Innovation under grant PID2019-107255GB.

Much evidence suggests a role for human milk oligosaccharides (HMOs) in establishing the infant microbiota in the large intestine, but the response of particular bacteria to individual HMOs is not well known. Here twelve bacterial strains belonging to the genera Bifidobacterium, Enterococcus, Limosilactobacillus, Lactobacillus, Lacticaseibacillus, Staphylococcus and Streptococcus were isolated from infant faeces and their growth was analyzed in the presence of the major HMOs, 2'-fucosyllactose (2'FL), 3-fucosyllactose (3FL), 2',3-difucosyllactose (DFL), lacto-N-tetraose (LNT) and lacto-N-neo-tetraose (LNnT), present in human milk. Only the isolated Bifidobacterium strains demonstrated the capability to utilize these HMOs as carbon sources. Bifidobacterium infantis Y538 efficiently consumed all tested HMOs. Contrarily, Bifidobacterium dentium strains Y510 and Y521 just metabolized LNT and LNnT. Both tetra-saccharides are hydrolyzed into galactose and lacto-N-triose (LNTII) by B. dentium. Interestingly, this species consumed only the galactose moiety during growth on LNT or LNnT, and excreted the LNTII moiety. Two β-galactosidases were characterized from B. dentium Y510, Bdg42A showed the highest activity towards LNT, hydrolyzing it into galactose and LNTII, and Bdg2A towards lactose, degrading efficiently also 6'-galactopyranosyl-N-acetylglucosamine, N-acetyl-lactosamine and LNnT. The work presented here supports the hypothesis that HMOs are mainly metabolized by Bifidobacterium species in the infant gut., This work is part of the Grants AGL2017-84165-C2 (1-R and 2-R) and PID2020-115403RB (C21 and C22) funded by the Spanish Ministry of Science and Innovation (MICIN)/Spanish State Research Agency (AEI)/10.13039/501100011033, and by "ERDF A way of making Europe".

A few decades ago, farmers could precisely monitor their croplands just by walking over the fields, but this task becomes more difficult as farm size increases. Precision viticulture can help better understand the vineyard and measure some key structural parameters, such as the Leaf Area Index (LAI). Remote Sensing is a typical approach to monitoring vegetation which measures the spectral information directly emitted and reflected from vegetation. This study explores a new method for estimating LAI which measures the projected shadows of plants using UAV (unmanned aerial vehicle) imagery. A flight mission over a vineyard was scheduled in the afternoon (15:30 to 16:00 solar time), which is the optimal time for the projection of vine shadows on the ground. Real LAI was measured destructively by removing all the vegetation from the area. Then, the projected shadows in the image were detected using machine learning methods (k-means and random forest) and analysed at pixel level using a customised R code. A strong linear relationship (R² = 0.76, RMSE = 0.160 m² m-2 and MAE = 0.139 m² m-2) was found between the shaded area and the LAI per vine. This is a quick and simple method, which is non-destructive and gives accurate results; moreover, flights can be scheduled during other periods of the day than solar noon, such as in the morning or afternoon, thus enabling pilots to extend their working day. Therefore, it may be a viable option for determining LAI in vineyards trained on Vertical Shoot Positioned (VSP) systems.

This paper describes the design, verification, implementation and fabrication of the Drac Vector IN-Order (DVINO) processor, a RISC-V vector processor capable of booting Linux jointly developed by BSC, CIC-IPN, IMB-CNM (CSIC), and UPC. The DVINO processor includes an internally developed two-lane vector processor unit as well as a Phase Locked Loop (PLL) and an Analog-to-Digital Converter (ADC). The paper summarizes the design from architectural as well as logic synthesis and physical design in CMOS 65nm technology. The DRAC project is co-financed by the European Union Regional Development Fund within the framework of the ERDF Operational Program of Catalonia 2014-2020 with a grant of 50% of total eligible cost. The authors are part of RedRISCV which promotes activities around open hardware. The Lagarto Project is supported by the Research and Graduate Secretary (SIP) of the Instituto Politecnico Nacional (IPN) from Mexico, and by the CONACyT scholarship for Center for Research in Computing (CIC-IPN). Peer Reviewed Article signat per 43 autors/es: Guillem Cabo∗, Gerard Candón∗, Xavier Carril∗, Max Doblas∗, Marc Domínguez∗, Alberto González∗, Cesar Hernández†, Víctor Jiménez∗, Vatistas Kostalampros∗, Rubén Langarita∗, Neiel Leyva†, Guillem López-Paradís∗, Jonnatan Mendoza∗, Francesco Minervini∗, Julian Pavón∗, Cristobal Ramírez∗, Narcís Rodas∗, Enrico Reggiani∗, Mario Rodríguez∗, Carlos Rojas∗, Abraham Ruiz∗, Víctor Soria∗, Alejandro Suanes‡, Iván Vargas∗, Roger Figueras∗, Pau Fontova∗, Joan Marimon∗, Víctor Montabes∗, Adrián Cristal∗, Carles Hernández∗, Ricardo Martínez‡, Miquel Moretó∗§, Francesc Moll∗§, Oscar Palomar∗§, Marco A. Ramírez†, Antonio Rubio§, Jordi Sacristán‡, Francesc Serra-Graells‡, Nehir Sonmez∗, Lluís Terés‡, Osman Unsal∗, Mateo Valero∗§, Luís Villa† // ∗Barcelona Supercomputing Center (BSC), Barcelona, Spain. Email: name.surname@bsc.es; †Centro de Investigación en Computación, Instituto Politécnico Nacional (CIC-IPN), Mexico City, Mexico; ‡ Institut de Microelectronica de Barcelona, IMB-CNM (CSIC), Spain. Email: name.surname@imb-cnm.csic.es; §Universitat Politecnica de Catalunya (UPC), Barcelona, Spain. Email: name.surname@upc.edu

The gastrointestinal microbiota members produce α-l-fucosidases that play key roles in mucosal, human milk, and dietary oligosaccharide assimilation. Here, 36 open reading frames (ORFs) coding for putative α-l-fucosidases belonging to glycosyl hydrolase family 29 (GH29) were identified through metagenome analysis of breast-fed infant fecal microbiome. Twenty-two of those ORFs showed a complete coding sequence with deduced amino acid sequences displaying the highest degree of identity with α-l-fucosidases from Bacteroides thetaiotaomicron, Bacteroides caccae, Phocaeicola vulgatus, Phocaeicola dorei, Ruminococcus gnavus, and Streptococcus parasanguinis. Based on sequence homology, 10 α-l-fucosidase genes were selected for substrate specificity characterization. The α-l-fucosidases Fuc18, Fuc19A, Fuc35B, Fuc39, and Fuc1584 showed hydrolytic activity on α1,3/4-linked fucose present in Lewis blood antigens and the human milk oligosaccharide (HMO) 3-fucosyllactose. In addition, Fuc1584 also hydrolyzed fucosyl-α-1,6-N-acetylglucosamine (6FN), a component of the core fucosylation of N-glycans. Fuc35A and Fuc193 showed activity on α1,2/3/4/6 linkages from H type-2, Lewis blood antigens, HMOs and 6FN. Fuc30 displayed activity only on α1,6-linked l-fucose, and Fuc5372 showed a preference for α1,2 linkages. Fuc2358 exhibited a broad substrate specificity releasing l-fucose from all the tested free histo-blood group antigens, HMOs, and 6FN. This latest enzyme also displayed activity in glycoconjugates carrying lacto-N-fucopentaose II (Lea) and lacto-N-fucopentaose III (Lex) and in the glycoprotein mucin. Fuc18, Fuc19A, and Fuc39 also removed l-fucose from neoglycoproteins and human α-1 acid glycoprotein. These results give insight into the great diversity of α-l-fucosidases from the infant gut microbiota, thus supporting the hypothesis that fucosylated glycans are crucial for shaping the newborn microbiota composition. IMPORTANCE α-l-Fucosyl residues are frequently present in many relevant glycans, such as human milk oligosaccharides (HMOs), histo-blood group antigens (HBGAs), and epitopes on cell surface glycoconjugate receptors. These fucosylated glycans are involved in a number of mammalian physiological processes, including adhesion of pathogens and immune responses. The modulation of l-fucose content in such processes may provide new insights and knowledge regarding molecular interactions and may help to devise new therapeutic strategies. Microbial α-l-fucosidases are exoglycosidases that remove α-l-fucosyl residues from free oligosaccharides and glycoconjugates and can be also used in transglycosylation reactions to synthesize oligosaccharides. In this work, α-l-fucosidases from the GH29 family were identified and characterized from the metagenome of fecal samples of breastfed infants. These enzymes showed different substrate specificities toward HMOs, HBGAs, naturally occurring glycoproteins, and neoglycoproteins. These novel glycosidase enzymes from the breast-fed infant gut microbiota, which resulted in a good source of α-l-fucosidases, have great biotechnological potential., This work was supported by grant PID2020-115403RB (C21 and C22) from the Spanish Ministry of Science and Innovation (MICIN)/Spanish State Research Agency (AEI) (10.13039/501100011033).

BACKGROUND. Mucormycosis is an emerging angioinvasive, potentially fatal infection caused by the ubiquitous filamentous fungi of the order Mucorales of the class Phycomycetes. They occur particularly in metabolically decompensated diabetic patients. OBJECTIVE. To evaluate the factors associated with survival in a group of diabetic patients with rhino-orbito-cerebral mucormycosis. MATERIAL AND METHODS. A case-control study of a series of cases from January 2013 to May 2020 was designed. Patients with diabetes mellitus and a diagnosis of rhino-orbito-cerebral mucormycosis were included. The clinical findings were considered, as well as age, gender, laboratory and radiological results, and mortality. For the statistical analysis, we used descriptive statistics, Mann Whitney U test. We considered a p-value equal to or less than 0.05 to indicate a statistically significant association or difference. Likewise, the odds ratio was used to determine the relative risk. RESULTS. 19 cases were included, with an average age of 60.8 years and female gender predominance. In 100% of the cases, nonseptate hyphae were identified in histopathological studies. We had a mortality of 7 (36.8%), where the rhino-orbital complications were the most frequent. The findings of CRP ≤23.1mm/L, an absolute neutrophil count ≥13.2 x1000 /µl and absence of bone erosion in the simple tomography, the rhino-orbital stage, could be related to greater survival. CONCLUSION. Our series presented mortality close to 40%. Age

Background Immunoglobulin G4-related disease (IgG4-RD) is a recently recognized fibro-inflammatory pathology that has been reported to affect principally the retroperitoneum, hepatobiliary system, salivary glands, orbital structures or lymph nodes. However, IgG4-RD with laryngeal involvement is a very rare entity. Our aims were to describe a case of subglottic stenosis as first and only manifestation of IgG4-RD and review the literature. A patient with IgG4-RD affecting the larynx that presented as subglottic stenosis is described. A MEDLINE database search of IgG4-RD cases with laryngopharyngeal manifestations was also conducted. A 30-year-old Caucasian woman was referred to a tertiary care hospital for dyspnea on exertion, which had been increasing for the last 4 months. Medical and surgical procedures revealed a subglottic stenosis, with a histological finding of IgG4 positive plasma cell infiltration. There was no evidence of other organ involvement. She was successfully treated with oral glucocorticoids and rituximab infusions. Glucocorticoids were rapidly tapered and the rituximab regimen was optimized, with no evidence of relapses. In the literature review, we found a total of 12 reported cases with laryngopharyngeal involvement, two of them with subglottic stenosis. IgG4-RD of the larynx is rare but should be considered after excluding more common disorders.

El artículo presenta una experiencia de cómo se ha incorporado herramientas tecnológicas para hacer eficiente el proceso del seguimiento, revisión y evaluación de proyectos escolares. Para ello los alumnos adoptaron una herramienta tecnológica (wiki o redbooth) durante el desarrollo del proyecto. De la valoración global durante dos ciclos escolares resultó una experiencia muy positiva tanto para alumnos como para profesores y otro hallazgo fue la mejora del trabajo colaborativo y la interacción entre los participantes de un mismo proyecto.

OBJECTIVE. To describe the results of tracheostomy in a series of cases in patients with COVID-19 admitted to the intensive care unit in two hospitals in the Northwest Mexico. MATERIAL AND METHODS. A prospective, descriptive, longitudinal study was carried out on a series of cases from April 2020 to August 2020. Data such as age, sex, hospital of origin, risk factors for the development of severe COVID-19, ventilatory and gasometric parameters before and 72 hours after, the days of oro-tracheal intubation were taken into account. Descriptive statistics with frequencies and percentages were used for the qualitative variables, for the numerical measures of central tendency as the mean and the median, the distribution of the results. RESULTS. From April to August 2020, in the two Intensive Care Units (ICUs) of these hospitals, 134 COVID-19 cases were admitted. In 14 patients (10.4%) tracheotomies were performed, 13 (92.8%) were male, mean age 49.21 years, 85% tested positive. The mean duration of oro-tracheal intubation was 22.7. Obesity combined with diabetes and arterial hypertension represented a risk factor in 57.1% of the cases. In 10 patients, the procedure was performed in the ICU bed. There were changes in some ventilatory parameters before and 72 hours after the procedure. The average number of days after weaning from the ventilator was 5.5 days. There were 3 deaths in our series. CONCLUSION. The adequate and prudent selection of COVID-19 patients for tracheostomy makes it easier to choose with greater justification the patients with the best prognosis, avoiding unnecessary procedures in a patient and a greater risk of contagion in the personnel.

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Graphene nanoribbons (GNRs) are the most important emerging Graphene structures for nanoelectronic and sensor applications. GNRs with perfect lattices have been extensively studied, but fabricated GNRs contain lattice defects the effect of which on their electronic properties has not been studied extensively enough. In this paper, we apply the Non-Equilibrium Green's function (NEGF) method combined with tight-binding Hamiltonians to investigate the effect of lattice defects on the conductance of GNRs. We specifically study, butterfly shaped GNRs, which operate effectively as switches, and have been used in CMOS-like architectures. The cases of the most usual defects, namely the single and double vacancy have been analytically examined. The effect of these vacancies was computed by placing them in different regions and with various numbers on GNR nano-devices, namely edges, main body, contacts and narrow regions. The computation results are presented in the form of energy dispersion diagrams as well as diagrams of maximum conductance as a function of the number of lattice defects. We also present results on the defect tolerance of the butterfly shaped GNR devices.

Se presenta una revisión teórica de los estudios que se han realizado en fútbol desde el paradigma cognitivo. El artículo pretende argumentar la necesidad de distinguir bajo el paradigma cognitivo, dos líneas de trabajo diferentes ya que se pretende desarrollar la toma de conciencia en las acciones de juego. No es lo mismo enfocar un entrenamiento bajo las teorías del procesamiento de la información (perspectiva estructural-funcional), que bajo las teorías constructivistas (perspectiva funcional-estructural), centrando el interés en el conocimiento previo del jugador, el desarrollo evolutivo, la categoría y los distintos niveles de pensamiento. Por tanto se pretende bajo el paradigma cognitivo, teorías constructivistas, perspectiva funcional-estructural, dar respuesta a un modelo de aprendizaje en fútbol base eficaz, efectivo y eficiente, transferible a cualquier deporte de invasión.Abstract: A theoretical review was carried out in football under the cognitive paradigm. The article aims at demonstrating the need to distinguish two different lines of work under the cognitive paradigm as we try and develop awareness in game actions. It is very different to build a training through the framework of the theories of information processing (structural-functional perspective), or through constructivist theories (functional-structural perspective), which focus on players’ knowledge, development, division, and different levels of awareness. Thus, within the cognitive paradigm, constructivist theories, and functional-structural perspective, we intend to respond to an effective, efficacious, and efficient initiation-to-football training model, transferable to any invasion sport.

The huge quantity of nodes and interconnections in modern binary circuits leads to extremely high levels of energy consumption. The interconnection complexity and other issues of binary circuits encourage researchers to consider multiple-valued logic (MVL) alternatives. Features of Carbon Nanotube Field-Effect Transistors (CNTFETs) make this technology a potential candidate to implement MVL circuits. In this article, a new systematic methodology is proposed to design ternary logic block circuits based on CNTFETs. The methodology is applied to the design of two basic logic circuits, a half adder and a 1-digit multiplier, which are evaluated through HSPICE simulations. Simulation results indicate improvements over current equivalents in transistor count and PDP mean with the half adder version of 19.2%, and 74.07% respectively, and with the 1-digit multiplier of 24.67% and 81.12% respectively.

Thin floor machining is a challenging and demanding issue, due to vibrations that create poor surface quality. Several technologies have been developed to overcome this problem. Ad hoc fixtures for a given part geometry lead to meeting quality tolerances, but since they lack flexibility, they are expensive and not suitable for low manufacturing batches. On the contrary, flexible fixtures consisting of vacuum cups adaptable to a diversity of part geometries may not totally avoid vibrations, which greatly limits its use. The present study analyses the feasibility of thin floor milling in terms of vibration and roughness, in the cases where milling is conducted without back support, a usual situation when flexible fixtures are employed, so as to define the conditions for a stable milling in them and thus avoid the use of ad hoc fixtures. For that purpose, the change of modal parameters due to material removal and its influence on chatter appearance have been studied, by means of stability lobe diagrams and Fourier Transform analysis. Additionally, the relationship between surface roughness and chatter frequency, tooth passing frequency, and spindle frequency have been studied. Ploughing effect has also been observed during milling, and the factors that lead to the appearance of this undesirable effect have been analyzed, in order to avoid it. It has been proven that finish milling of thin floors without support in the axial direction of the mill can meet aeronautic tolerances and requirements, providing that proper cutting conditions and machining zones are selected. This research has received funding from the ELKARTEK program of the Basque Govern ment within the project OPTICED, grant number KK-2021/00003.

This work was supported by the Spanish under Grant MCIN/AEI/10.13039/501100011033 and Project PID2019-103869RB-C33., This study analyzes the effects of the punch-through stop (PTS) layer and well depth in a bulk FinFET SRAM cell on the fraction of charge generated by an ion impact that is collected by the FinFET channel. More than 1700 3D TCAD simulations have been performed to obtain a detailed map of the sensitivity areas in a full cell 6-T SRAM 22 nm bulk-FinFET process. The influence of the well depth on the charge collected by the drain devices of the SRAM cell has been studied, and it has been concluded that the collected charge can be reduced down to 300% simply by modifying the depth of the well, without affecting the performance of the cell. Different PTS layer depths have been analyzed in order to calculate which value minimizes the impact of the charge generated by an ion during its track along the FinFET body. The simulations carried out allow to conclude that the incorporation of a PTS layer not only reduces the leakage current, but also reduces the amount of charge, delivered by the ion, that reaches the drain region. Simulation results also show that the fraction of the charge generated by the ion impact, which is collected by the drain, mainly depends on the depth of the wells, whereas the PTS layer hardly modifies the collected charge. Keywords, MCIN/AEI/10.13039/501100011033 PID2019-103869RB-C33

Graphene is a 2D material with spectacular properties. Its elasticity and biocompatibility make it appropriate for stretchable electronics and bioelectronics applications respectfully. In this work, we present the design of a Graphene Nanoribbon (GNR) based XOR gate and a 3-input XOR gate, extending the universal set of AND, NOT, OR gates already presented in literature, and verifying their operation by computing its conductance. Our proposed topology allows XOR gate scaling from 2-inputs to 3-inputs with zero increase in active area. Moreover, it operates when deposited on a wide range of substrates, due to the lack of back gate bias, enabling its possible use in stretchable and biocompatible electronics applications. © 2022 IEEE.

The most promising Graphene structures for the development of nanoelectronics and sensor applications are Graphene nanoribbons (GNRs). GNRs with perfect lattices have been extensively investigated in the research literature; however, fabricated GNRs may still suffering from lattice flaws, the possible effect of which, on the operation of the circuitry comprised by GNR based devices, has not attracted significant interest. In this paper, we investigate the effect of lattice defects on the operational behavior of GNRs using the Non-Equilibrium Green's function (NEGF) method combined with tight-binding Hamiltonians targeting to the resulting nanoelectronic devices and circuits functionalities. We focus on butterfly-shaped GNRs, which have been proven to successfully function as switches that can be used as building blocks for simple Boolean gates and logic circuits. Analyses of the most common defects, namely the single and double vacancies, have been adequately performed. The effect of these vacancies was investigated by inserting them in various places and concentrations on the corresponding GNR based nano-devices. The computation results indicate the effect on lattice defects on the important operational device parameters including the leakage current, ION/IOFF and, finally, current density, which will determine the viability of GNR computing circuits.

Human noroviruses (HuNoVs) are the main cause of acute gastroenteritis causing more than 50,000 deaths per year. Recent evidence shows that the gut microbiota plays a key role in enteric virus infectivity. In this context, we tested whether microbiota depletion or microbiota replacement with that of human individuals susceptible to HuNoVs infection could favor viral replication in mice. Four groups of mice (n = 5) were used, including a control group and three groups that were treated with antibiotics to eliminate the autochthonous intestinal microbiota. Two of the antibiotic-treated groups received fecal microbiota transplantation from a pool of feces from infants (age 1-3 months) or an auto-transplantation with mouse feces that obtained prior antibiotic treatment. The inoculation of the different mouse groups with a HuNoVs strain (GII.4 Sydney [P16] genotype) showed that the virus replicated more efficiently in animals only treated with antibiotics but not subject to microbiota transplantation. Viral replication in animals receiving fecal microbiota from newborn infants was intermediate, whereas virus excretion in feces from auto-transplanted mice was as low as in the control mice. The analysis of the fecal microbiota by 16S rDNA NGS showed deep variations in the composition in the different mice groups. Furthermore, differences were observed in the gene expression of relevant immunological mediators, such as IL4, CXCL15, IL13, TNFα and TLR2, at the small intestine. Our results suggest that microbiota depletion eliminates bacteria that restrict HuNoVs infectivity and that the mechanism(s) could involve immune mediators., This research was funded by the Spanish Ministry of Science and Innovation (MICIN)/Spanish State Research Agency (AEI)/10.13039/501100011033 Project grants PID2020-115403RB C21 to M.J.Y. and PID2020-115403RB C22 to J.R.-D. The study was also supported by Valencian Government grant IDIFEDER/2018/056 and by European FEDER founds to J.R.-D., C.S.-B. is the recipient of a FPI predoctoral grant PRE2018-083315 by MICIN/AEI/10.13039/501100011033 and by “ESF Investing in your future”. N.P.-G. is the recipient of a predoctoral grant from the Valencian Government (ACIF/2020/085). N.N.-L. is the recipient of a predoctoral grant from the Valencian Government (ACIF/2020/076).

We propose a scheme for detection of quantum many-body phase transitions using unsupervised machine learning. We validate it on simulated 1D Bose-Hubbard model, and then use it on an experimental 2D system undergoing many-body localization.

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The intrinsic behavioral variability in resistive switching devices (also known as 'memristors' or 'ReRAM devices') can be a reliability limiting factor or an opportunity for applications where randomness of resistance switching is essential, such as hardware security and stochastic computing. The realistic assessment of ReRAM-based circuits & systems towards practical exploitation requires variability-aware ReRAM modeling. In this context, here we present a versatile, circuit-level implementation strategy to incorporate cycle-to-cycle (C2C) variability to the ReRAM model parameters in SPICE simulations. We evaluated the proposed approach with threshold-based models of a voltage-controlled bipolar ReRAM device and managed to reproduce the main features observed in experimental curves for different pulsed voltage inputs. With key upgrades, compared to previous approaches found in the literature, our strategy enables the enhancement of any ReRAM device model towards the exploration of new ways to make the most of the C2C ReRAM variability, and to test the robustness of any designed circuits & systems against ReRAM variability. Supported by the Chilean research grants ANID-Basal FB0008 and FONDECYT Regular 1221747, and by the Spanish MCIN/AEI/10.13039/501100011033 grant PID2019-103869RB-C33.

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The beneficial role of noise in the binary spike time dependent plasticity (STDP) learning rule, when implemented with memristors, is experimentally analyzed. The two memristor conductance states, which emulate the neuron synapse in neuromorphic architectures, can be better distinguished if a gaussian noise is added to the bias. The addition of noise allows to reach memristor conductances which are proportional to the overlap between pre- and post-synaptic pulses. This research was funded by the Spanish MCIN/AEI/10.13039/501100011033, Projects PID2019- 103869RB and TEC2017-90969-EXP. The Spanish MicroNanoFab ICTS is acknowledged for sample fabrication.

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Advances in emerging resistive random-access memory (ReRAM) technology show promise for its use in future computing systems, enabling neuromorphic and memory-centric computing architectures. However, one aspect that holds back the widespread practical use of ReRAM is the behavioral variability of resistive switching devices. In this context, a radically new path towards ReRAM-based electronics concerns the exploitation of noise and the Stochastic Resonance (SR) phenomenon as a mechanism to mitigate the impact of variability. While SR has been already demonstrated in ReRAM devices and its potential impact has been analyzed for memory applications, related works have only focused on voltage input signals. In this work we present preliminary results concerning the exploration of SR in current-driven ReRAM devices, commercially available by Knowm Inc. Our results indicate that additive noise of amplitude s = 0.125uA can stabilize the cycling performance of the devices, whereas higher noise amplitude improves the HRS-LRS resistance window, thus could affect positively the Bit Error Rate (BER) metric in ReRAM memory applications. Supported by the Chilean research grants FONDECYT INICIACION 11180706 and ANID-Basal FB0008, and by the Spanish MCIN grants PID2019-105658RB-I00, and MCIN/AEI/10.13039/501100011033 grant PID2019-103869RB-C33.

In waste recycling plants, measuring the waste volume and weight at the beginning of the treatment process is key for a better management of resources. This task can be conducted by using orthophoto images, but it is necessary to remove from those images the objects, such as containers or trucks, that are not involved in the measurement process. This work proposes the application of deep learning for the semantic segmentation of those irrelevant objects. Several deep architectures are trained and compared, while three semi-supervised learning methods (PseudoLabeling, Distillation and Model Distillation) are proposed to take advantage of non-annotated images. In these experiments, the U-net++ architecture with an EfficientNetB3 backbone, trained with the set of labelled images, achieves the best overall multi Dice score of 91.23%. The application of semi-supervised learning methods further boosts the segmentation accuracy in a range between 1.31% and 2.59%, on average.

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The threshold switching effect is critical in memristor devices for a range of applications, from crossbar design reliability to simulating neuromorphic features using artificial neural networks. The rich inherit dynamics of a metallic conductive filament (CF) formation are thought to be linked to this characteristic. Simulating these dynamics is necessary to develop an accurate memristor model. In this work we present a compact memristor model that utilizes the drift, diffusion and thermo-diffusion effects. These three effects are taken into consideration to derive the switching behavior of a memristor. The resistance of a memristor is calculated based on the evolution of a truncated cone shaped filament. The objective of this model is to achieve a realistic integration of switching mechanisms of the memristor device, while minimizing the overhead on computing resources and being compatible with circuit design tools. The model incorporates the effect of thermo-diffusion on the switching pattern, providing a different perception of the ionic transport processes, which enable the unipolar switching. SPICE simulation results provide an exact match with experimental results of Metal-Insulator-Metal (MIM) memristive devices of Ag/Si2/SiO2.07/Pt nanoparticles (NPs) configuration.

13 páginas, 5 figuras, 1 tabla, CAD is a 1.5 MDa hexameric protein with four enzymatic domains responsible for initiating de novo biosynthesis of pyrimidines nucleotides: glutaminase, carbamoyl phosphate synthetase, aspartate transcarbamoylase (ATC), and dihydroorotase. Despite its central metabolic role and implication in cancer and other diseases, our understanding of CAD is poor, and structural characterization has been frustrated by its large size and sensitivity to proteolytic cleavage. Recently, we succeeded in isolating intact CAD-like particles from the fungus Chaetomium thermophilum with high yield and purity, but their study by cryo-electron microscopy is hampered by the dissociation of the complex during sample grid preparation. Here we devised a specific crosslinking strategy to enhance the stability of this mega-enzyme. Based on the structure of the isolated C. thermophilum ATC domain, we inserted by site-directed mutagenesis two cysteines at specific locations that favored the formation of disulfide bridges and covalent oligomers. We further proved that this covalent linkage increases the stability of the ATC domain without damaging the structure or enzymatic activity. Thus, we propose that this cysteine crosslinking is a suitable strategy to strengthen the contacts between subunits in the CAD particle and facilitate its structural characterization., This work was supported by grant RTI2018-098084-B-I00 financed by MCIN/AEI/10.13039/ 501100011033/ and “FEDER Una manera de hacer Europa”, by grant PID2021-128468NB-I00 financed by MCIN/AEI /10.13039/501100011033, and by Fundación Ramón Areces, XX National Call. F.d.C.-O. is a postdoctoral fellow of the Generalitat Valenciana (APOSTD 2021). AR-d-C is supported by salary from the European Commission–Next Generation EU through the CSIC Global Health Platform (PTI+ Salud Global) established by EU Council Regulation 2020/2094. X-ray diffraction experiments at ALBA were performed as part of the BAG proposal 2018082950.