University of Campinas
  • Campinas, SP, Brazil
Recent publications
Background 22q11.2 deletion syndrome (22q11.2DS) is a rare disease with an important characteristic—clinical heterogeneity. The diversity of organs, regions, and systems of the body that can be affected requires periodic updating of health professionals so that they can recognize these clinical signs as belonging to 22q11.2DS. Updated professionals are equally important for the appropriate and timely clinical management of individuals with a positive diagnosis. In this context, this article aimed to map and analyze the access to healthcare for individuals with 22q11.2DS until the moment of diagnosis. Results We analyzed the clinical data of 111 individuals with 22q11.2DS registered in the Brazilian Database on Craniofacial Anomalies (BDCA) from 2008 to 2020. In this study, individuals were diagnosed at a median age of 9 years (mean = 9.7 years). Before the genetic investigation, they accessed 68.75% of the internationally recommended evaluations available at BDCA. Recurrent 22q11.2DS clinical manifestations such as delayed neuropsychomotor development, lip and/or palate defects, cardiac malformation and/or hematological/immunological alteration co-occurred in at least 72.06% of individuals. Cardiac malformation was the only clinical alteration that lowered the median diagnostic age, corresponding to 6.5 years of age with a cardiac malformation versus 11 years of age without one (p = 0.0006). Conclusions In Brazil, 22q11.2 DS is under-recognized, and early diagnosis and management of affected individuals are still a distant reality. In this sense, 22q11.2 DS suspicion followed by the elimination of obstacles for its diagnosis confirmation is essential to increase life expectancy and improve the quality of life of these individuals in Brazil.
Self-handicapping strategies refer to the set of choices and attitudes adopted to minimize blame for failure and increase the value of success in achievement situations. This paper aims to describe the stages of construction and the psychometric analysis of a scale to measure the self-handicapping strategies of university students. In study 1, the major steps for the construction of the scales and initial results are reported. The internal consistency indices were acceptable and the principal component analysis revealed factors with little explanation of data variance. In study 2, data from a sample of 834 students from several undergraduate courses of different Brazilian universities were subjected to exploratory factor analysis using the minimum rank factor analysis (MRFA) method and the matrix of polychoric correlations. The parallel analysis criterion for factor retention indicated the one-factor solution as the best fit to data. The importance of having a valid and reliable measure to assess self-handicapping strategies in educational contexts and the promising use of the scale in actions to improve learning in higher education are discussed.
Background Sugarcane hemicellulosic material is a compelling source of usually neglected xylose that could figure as feedstock to produce chemical building blocks of high economic value, such as xylitol. In this context, Saccharomyces cerevisiae strains typically used in the Brazilian bioethanol industry are a robust chassis for genetic engineering, given their robustness towards harsh operational conditions and outstanding fermentation performance. Nevertheless, there are no reports on the use of these strains for xylitol production using sugarcane hydrolysate. Results Potential single-guided RNA off-targets were analyzed in two preeminent industrial strains (PE-2 and SA-1), providing a database of 5′-NGG 20 nucleotide sequences and guidelines for the fast and cost-effective CRISPR editing of such strains. After genomic integration of a NADPH-preferring xylose reductase (XR), FMYX (SA-1 ho Δ:: xyl1 ) and CENPKX (CEN.PK-122 ho Δ:: xyl1 ) were tested in varying cultivation conditions for xylitol productivity to infer influence of the genetic background. Near-theoretical yields were achieved for all strains; however, the industrial consistently outperformed the laboratory strain. Batch fermentation of raw sugarcane straw hydrolysate with remaining solid particles represented a challenge for xylose metabolization, and 3.65 ± 0.16 g/L xylitol titer was achieved by FMYX. Finally, quantification of NADPH — cofactor implied in XR activity — revealed that FMYX has 33% more available cofactors than CENPKX. Conclusions Although widely used in several S. cerevisiae strains, this is the first report of CRISPR-Cas9 editing major yeast of the Brazilian bioethanol industry. Fermentative assays of xylose consumption revealed that NADPH availability is closely related to mutant strains’ performance. We also pioneer the use of sugarcane straw as a substrate for xylitol production. Finally, we demonstrate how industrial background SA-1 is a compelling chassis for the second-generation industry, given its inhibitor tolerance and better redox environment that may favor production of reduced sugars.
Sjogren's Syndrome (SS) is an autoimmune disease characterized by lymphocytic infiltration of the exocrine glands and other organs, associated with sicca syndrome but also with systemic involvement with varying degrees of severity. Despite their importance, these systemic manifestations are not routinely evaluated and there is no homogenous approach to their diagnosis or evaluation. To close this gap, a panel of experts from the Brazilian Society of Rheumatology conducted a systematic review and meta-analysis on the identification of epidemiologic and clinical features of these manifestations and made recommendations based on the findings. Agreement between the experts was achieved using the Delphi method. The first part of this guideline summarizes the most important topics, and 11 recommendations are provided for the articular, pulmonary, and renal care of SS patients.
Background Pressure injuries (PIs), especially in the sacral region are frequent, costly, and increase morbidity and mortality of patients in an intensive care unit (ICU). These injuries can occur as a result of prolonged pressure and/or shear forces. Neuromuscular electrical stimulation (NMES) can increase muscle mass and improve local circulation, potentially reducing the incidence of PI. Methods We performed a randomized controlled trial to assess the efficacy and safety of NMES in preventing PI in critically ill patients. We included patients with a period of less than 48 h in the ICU, aged ≥ 18 years. Participants were randomly selected (1:1 ratio) to receive NMES and usual care (NMES group) or only usual care (control group—CG) until discharge, death, or onset of a PI. To assess the effectiveness of NMES, we calculated the relative risk (RR) and number needed to treat (NNT). We assessed the muscle thickness of the gluteus maximus by ultrasonography. To assess safety, we analyzed the effects of NMES on vital signs and checked for the presence of skin burns in the stimulated areas. Clinical outcomes were assessed by time on mechanical ventilation, ICU mortality rate, and length of stay in the ICU. Results We enrolled 149 participants, 76 in the NMES group. PIs were present in 26 (35.6%) patients in the CG and 4 (5.3%) in the NMES group ( p ˂ 0.001). The NMES group had an RR = 0.15 (95% CI 0.05–0.40) to develop a PI, NNT = 3.3 (95% CI 2.3–5.9). Moreover, the NMES group presented a shorter length of stay in the ICU: Δ = − 1.8 ± 1.2 days, p = 0.04. There was no significant difference in gluteus maximus thickness between groups (CG: Δ = − 0.37 ± 1.2 cm vs. NMES group: Δ = 0 ± 0.98 cm, p = 0.33). NMES did not promote deleterious changes in vital signs and we did not detect skin burns. Conclusions NMES is an effective and safe therapy for the prevention of PI in critically ill patients and may reduce length of stay in the ICU. Trial registration RBR-8nt9m4. Registered prospectively on July 20th, 2018,
During neuronal differentiation, neuroprogenitor cells become polarized, change shape, extend axons, and form complex dendritic trees. While growing, axons are guided by molecular cues to their final destination, where they establish synaptic connections with other neuronal cells. Several layers of regulation are integrated to control neuronal development properly. Although control of mRNA translation plays an essential role in mammalian gene expression, how it contributes temporarily to the modulation of later stages of neuronal differentiation remains poorly understood. Here, we investigated how translation control affects pathways and processes essential for neuronal maturation, using H9-derived human neuro progenitor cells differentiated into neurons as a model. Through Ribosome Profiling (Riboseq) combined with RNA sequencing (RNAseq) analysis, we found that translation control regulates the expression of critical hub genes. Fundamental synaptic vesicle secretion genes belonging to SNARE complex, Rab family members, and vesicle acidification ATPases are strongly translationally regulated in developing neurons. Translational control also participates in neuronal metabolism modulation, particularly affecting genes involved in the TCA cycle and glutamate synthesis/catabolism. Importantly, we found translation regulation of several critical genes with fundamental roles regulating actin and microtubule cytoskeleton pathways, critical to neurite generation, spine formation, axon guidance, and circuit formation. Our results show that translational control dynamically integrates important signals in neurons, regulating several aspects of its development and biology.
Background Sustainable production and consumption are two important issues, which mutually interact. Whereas individuals have little direct influence on the former, they can play a key role on the latter. This paper describes the subject matter of sustainable consumption and outlines its key features. It also describes some international initiatives in this field. Results By means of an international survey, the study explores the emphasis given to sustainable consumption during the second wave of the COVID-19 pandemic, and the degree of preparedness in individuals to engage in the purchase of green and sustainably manufactured products. The main results indicate that the pandemic offered an opportunity to promote sustainable consumption; nevertheless, the pandemic alone cannot be regarded as a ‘game changer’ in this topic. Conclusions Apart from an online survey with responses from 31 countries, which makes it one of the most representative studies on the topic, a logit model was used to analyse the main variables that affect the probability of pro-environmental consumption behaviour because of the COVID-19 pandemic. The paper lists some of the technological and social innovations that may be needed, so as to guide more sustainable consumption patterns in a post-pandemic world.
The Cerrado, the most biodiverse savanna, has been losing its natural areas through conversion to agricultural land. In the Santa Barbara Ecological Station (SBES), more than 136.4 ha of open Cerrado vegetation were converted into pine plantations in the 1960s-1970s. Nonetheless, nowadays techniques such as clear-cutting pine trees and burning of the remaining material have been used to recover the native vegetation in those areas. In one of these recovering areas, some native species have resprouted, particularly Psidium grandifolium, which naturally occurs in open Cerrado vegetation. Here, we aimed to elucidate which attributes ensured the resilience of this species after decades of afforestation. To do so, we compare the belowground systems, bud banks, chemical contents of roots and vessel characteristics of P. grandifolium occurring in a natural open Cerrado area and an area under regeneration after the clear-cutting of pine and later burning at SBES. In both study areas, plants showed xylopodium whose upper parts consisted of a thin cauline axis joined to a lignified tuberous root with fusiform morphology. In the natural area, the xylopodia were orientated vertically on the ground, while in the regenerating area, there was a curvature in the cauline axis, changing the xylopodia orientation to a horizontal position. The belowground bud bank was three times greater in the area under regeneration. Roots presented significant differences in the concentrations of total soluble carbohydrates and flavonoids between study areas. Our results also demonstrated that plants with thickened bud-bearing belowground systems held great resilience capacity, even when the structures were damaged by soil management before pine planting. Individuals of P. grandifolium managed to remain dormant in the plantations for decades until the conditions for resprouting were adequate. This work showed a series of plastic responses that Cerrado species present when submitted to afforestation and different growing conditions.
Integrating production system and reservoir is used in several studies of offshore oilfield development and management for improved production forecasts through more realistic boundary conditions. This study evaluates the influence of the parameters in a production strategy of a reference model (carbonate oil reservoir) on financial and production performance. We first considered nonintegrated system (NI) with the reservoir and fixed boundary conditions for well and gathering system. We then considered integrated system (I) with the variable boundary conditions for the wells and gathering system. Finally, we compared both systems. Our analysis involved several steps to define the best production strategy for both systems based on net present value (NPV) and how integrated modeling helps define production strategy. For NI, three stages were considered: number of wells, placement of wells, and platform capacity. For I, five stages were evaluated (all NI parameters) with diameters and gas lift evaluation, and platform placement. The results are similar, but the simplifications (NI) may affect financial performance. The cross analysis indicated (in the hypothesis that the integrated system is closer to reality) that integrating the NI case resulted in considerable financial and production differences and may be useful in simplified systems. Since the main aspects of the object-function financial return were related to reservoir model behavior, one can first apply the nonintegrated optimization cycles, then add the integrated cycles, obtaining an intermediate time of the integrated model optimization in similar cases.
With the advance of Wide-Area Measurement Systems (WAMS), power system operators have direct access to a large amount of data with valuable information about the power system dynamic performance. As a result, there is a clear need for new data-driven methodologies capable of extracting relevant information from this collected data. One of the key challenges is correctly detecting power system disturbances to avoid false alarms during real-time operation as well as off-line disturbance analysis. This paper proposes a two-level robust event detection methodology aiming to reduce false disturbance detection (false positives/alarms) and validate true events. The methodology is divided into two-levels:(i) signal processing analysis (ii) deep neural network (DNN) classification. In the first level, we apply a widely used spectral analysis based on the Discrete Wavelet Transform (DWT) to event detection. In the second level, the events detected by the DWT are processed by a DNN to check if they are real events or false alarms. Finally, the proposed methodology is evaluated using real synchrophasor event records from the Brazilian Interconnected Power System (BIPS).
Let D be a digraph. A coloring C and a path P of D are orthogonal if P contains exactly one vertex of each color class in C. In 1982, Berge defined the class of χ-diperfect digraphs. A digraph D is χ-diperfect if for every minimum coloring C of D, there exists a path P orthogonal to C and this property holds for every induced subdigraph of D. Berge showed that every symmetric digraph is χ-diperfect, as well as every digraph whose underlying graph is perfect. However, he also showed that not every super-orientation of an odd cycle or complement of an odd cycle is χ-diperfect. Non-χ-diperfect super-orientations of odd cycles and their complements may play an important role in the characterization of χ-diperfect digraphs, similarly to the role they play in the characterization of perfect graphs. In this paper, we present a characterization of super-orientations of odd cycles and a characterization of super-orientations of complements of odd cycles that are χ-diperfect. Moreover, we show that certain classes of digraphs that are free of such non-χ-diperfect structures are χ-diperfect.
Introduction Tracheal fistula (TF) treatments may involve temporary orthosis and further ablative procedures, which can lead to infection. Thus, TF requires other therapy alternatives development. The hypothesis of this work was to demonstrate the feasibility of a tissue-engineered alternative for small TF in a preclinical model. Also, its association with suture filaments enriched with adipose tissue-derived mesenchymal stromal stem cells (AT-MSCs) was assessed to determine whether it could optimize the regenerative process. Methods Poly (L-Lactic acid) (PLLA) membranes were manufactured by electrospinning and had morphology analyzed by scanning electron microscopy. AT-MSCs were cultured in these scaffolds and in vitro assays were performed (cytotoxicity, cellular adhesion, and viability). Subsequently, these cellular constructs were implanted in an animal small TF model. The association with suture filaments containing attached AT-MSCs was present in one animal group. After 30 d, animals were sacrificed and regenerative potential was evaluated, mainly related to the extracellular matrix remodeling, by performing histopathological (Hematoxylin-Eosin and trichrome Masson) and immunohistochemistry (Collagen I/II/III, matrix metalloproteinases–2, matrix metalloproteinases–9, vascular endothelial growth factor, and interleukin-10) analyses. Results PLLA membranes presented porous fibers, randomly oriented. In vitro assays results showed that AT-MSCs attached were viable and maintained an active metabolism. Swine implanted with AT-MSCs attached to membranes and suture filaments showed aligned collagen fibers and a better regenerative progress in 30 d. Conclusions PLLA membranes with AT-MSCs attached were useful to the extracellular matrix restoration and have a high potential for small TF treatment. Also, their association with suture filaments enriched with AT-MSCs was advantageous.
In this work, we present the modal analysis and the design consideration of a hybrid plasmonic waveguide (HPWG) based sensor. The device has a very simple structure and uses Silicon nitride (SiN) technology compatible with CMOS foundries, a top cladding of SiO2 and a thin gold layer. This noble metal is suitable for its stability, high sensitivity and its capability to propagate plasmons in the visible range. In order to obtain the best design, the article analyzes the behavior of the hybrid modes present in the structure for the visible and part of NIR spectrum region (400–1000 nm band), as well as the impact of oxide and gold on sensing performance. A compilation of the best potential cases with higher performances are presented from simulations based on 2D-FDTD solver. Sensitivities higher than 900 nm/RIU and FOM greater than 20 RIU⁻¹ are reported. Finally, a discussion of our results and a roadmap to conduct similar designs are also presented.
Background Population-based data on epidemiology of Inflammatory Bowel Diseases (IBD) in Brazil are scarce. This study aims to define temporal trends of incidence and prevalence rates of Crohn's disease (CD) and ulcerative colitis (UC) in Brazil. Methods All IBD patients from the public healthcare national system were included from January 2012 to December 2020. Average Annual Percent Change (AAPC) and 95% confidence intervals (CI) were calculated using log-linear regression for incidence and binomial regression for prevalence. Moran's I autocorrelation index was used to analyse clustering of cities by level of prevalence. Findings A total of 212,026 IBD patients were included. Incidence of IBD rose from 9.4 in 2012 to 9.6 per 100,000 in 2020 (AAPC=0.8%; 95% CI -0.37, 1.99); for UC, incidence increased from 5.7 to 6.9 per 100,000 (AAPC=3.0%; 95% CI 1.51, 4.58) and for CD incidence decreased from 3.7 to 2.7 per 100,000 (AAPC=-3.2%; 95% CI -4.45, -2.02). Prevalence of IBD increased from 30.0 in 2012 to 100.1 per 100,000 in 2020 (AAPC=14.8%; CI 14.78-14.95); for UC, from 15.7 to 56.5 per 100,000 (AAPC=16.0%; CI 15.94, 16.17); for CD from 12.6 to 33.7 per 100,000 (AAPC=12.1% CI 11.95, 12.02). A south-north gradient was observed in 2020 prevalence rates of IBD [I=0.40 (p<0.0001)], CD [I=0.22 (p<0.0001)] and UC [I=0.42 (p<0.0001)]. Interpretation Incidence of CD is decreasing whereas of UC is increasing, leading to stabilization in the incidence of IBD from 2012 to 2020 in Brazil. Prevalence of IBD has been climbing with 0.1% of Brazilians living with IBD in 2020. Funding None.
Growing importance has been attached to the concept of Entrepreneurial Ecosystems (EE) as productive structures that encompass complex sets of interaction driving economic agents' competitive capabilities. Drawing from biomimetism, the EE approach dedicates attention to unraveling the mechanisms through which socioeconomic environments organize to introduce new knowledge and innovations in markets. Yet, while challenges associated with identifying the spatial scale of natural ecosystems have long been part of discussions in the field of ecology and evolutionary biology, and in economic geography, the geographic reach of EE remains largely uncharted in literature. Importantly, from a biomimetic standpoint, we know that ecosystems' boundaries must be defined according to their formative processes, rather than reflect predefined political or administrative boundaries. In this study, we try to shed some light on these topics, underscoring the analytical and methodo-logical challenges associated with the spatiality of entrepreneurial ecosystems. Thinking about entrepreneurial ecosystems as fixed analytical units attached to administrative boundaries will likely cause an inadequate analytical understanding of how entrepreneurship-oriented relationships are distributed in space.
The half-wavelength transmission line is considered a feasible alternative to interconnect very distant electrical subsystems, in the range of thousands of kilometers. Despite presenting good economic advantages, this alternative still has some challenges. This kind of line has unique characteristics, which makes it difficult to apply protection methods as practised today. This paper presents an analysis of power differential protection developed for half-wavelength transmission lines. Here, the performance of complex power is analysed. The method uses apparent power in the sequence domain to develop efficient protection. During an external fault, there is a balance between the measured power in both line terminals. However, when an internal fault occurs, this balance is broken. MATLAB simulations show that the method achieved good results, mainly in detecting faults in the central region of the line and external faults. Additionally, the tests considered the spark-gap apparatus to remove severe resonant fault conditions.
For the first time, the fused deposition modeling (FDM) 3D printing method was used to fabricate a microchip capillary electrophoresis (MCE) with channel dimensions (58 × 65 µm) below 100 µm. Moreover, electrodes to conduct capacitively coupled contactless conductivity detection (C⁴D) were integrated into the MCE using three conductive thermoplastic filaments containing graphene, carbon black, and copper. After optimizing the parameters for multi-material printing, the MCE-C⁴D device was fabricated in a single (one step) 3D printing process using an FDM 3D printer equipped with two extrusion nozzles. An optimization design method allowed finding that the distance (gap) between the electrodes of around 1 mm provided the maximum response of the C⁴D. The optimized frequency of the excitation signal applied in the C⁴D electrodes depended on the composition of the conductive filament used to print the electrodes. The optimized frequencies for the electrodes printed with thermoplastic polymers containing copper and carbon black were 268 and 384 kHz, respectively. The MCE-C⁴D successfully separated and detected a mixture of K⁺, Na⁺, and Li⁺ with good resolution, efficiency, precision, linearity, and limits of detections (LOD) of 10.2, 11.6, and 14.1 µmol L⁻¹, respectively.
An interlaboratory comparison was done for the analysis of carotenoids in freeze-dried mango. The study was performed from July to September 2018. Mango fruit was freeze-dried, homogenized, and packaged under vacuum conditions in portions of 6 g (test sample). Two test samples were sent to the participating laboratories for analysis. Laboratory results were rated using Z-scores in accordance with ISO 13528 and ISO 17043. The standard deviation for proficiency assessment (also called target standard deviation) was determined using a modified Horwitz function and varied between 10 and 25%, depending on the analyte. Out of 14 laboratories from 10 different countries, 9 laboratories (64%) obtained a satisfactory performance (Z ≤ 2) for the analysis of β-carotene. While for 7 laboratories that analyzed α-carotene, (9Z)-β-carotene, β-cryptoxanthin, and zeaxanthin, 4 laboratories (57%) obtained a satisfactory performance. However, only 2 laboratories out of 7 (29%) obtained a satisfactory performance for lutein. Based on the comparability of the analytical results, this study concludes that freeze-dried mango pulp can be used as a reference material for the analysis of α and β-carotene, (9Z)-β-carotene, β-cryptoxanthin, and zeaxanthin by applying different analytical procedures for their extraction and quantification.
In this paper, a rapidly varying parameter estimation method for nonlinear systems is proposed. The parameters are supposed to be unknown functions of known causes, here referred to as associative memory variables. The estimation proposal consists of two stages; in the first one, an a priori estimation is calculated as the average of a dynamic subset of past estimates, defined by similarities between the current and past cause values. In this paper, this subset is referred to as associated memory. Each parameter of the model corresponds to an associated memory set, which is updated over time. In the second stage, the a priori estimation is updated using the innovation brought by the new incoming data and the recursive least squares algorithm. A nonlinear in the parameters moving average, a multi-parameter model, and a model with multi-dependent parameters are analyzed under this perspective. Two examples are shown to validate this proposal and alternative methods from the literature are used for performance comparison.
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17,706 members
Marko Synésio Alves Monteiro
  • Departamento de Política Científica e Tecnológica (DPCT)
Marcelo Knobel
  • Instituto de Física "Gleb Wataghin" (IFGW)
Orlando Petrucci
  • Departamento de Cirurgia
Rua da Reitoria s/n, 13083-872, Campinas, SP, Brazil
Head of institution
Marcelo Knobel, PhD