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OBJECTIVES: This thesis aims to provide patients with a preventive and therapeutic basis by analyzing IgE level influencing factors of common allergens for Allergic Rhinitis (AR). METHOD: Multiple linear regression analysis is made upon questionnaires among 749 cases of AR patients that are divided into 5 age-based groups. Perform serum-specific IgE content testing on patients. RESULTS: Cockroach being an allergen, AR patients' IgE Level is influenced by allergic history, home-raised plants and animals. For AR patients with mugwort as an allergen, allergy and asthma history could increase IgE level, respectively, ß = 4.291 and ß = 4.364. If the allergen turns out to be peanut, allergic history would increase the IgE level (ß = 0.171), however, the level would be lower in female patients compared with male patients (ß = -0.078). For patients with egg as an allergen, allergic history, home-raised plants and animals (pets) would all affect the IgE level, respectively, ß = 0.182, ß = 0.118 and ß = -0.101. CONCLUSIONS: IgE level varies according to allergic history, home-raised plants & animals, gender, furniture renewal, asthma, and ages for patients with different allergens including cockroach, mold, mugwort, peanut, egg and crab. For each kind of allergen, the IgE levels react differently to different influencing factors, thus requiring a thorough analysis of each AR patient's allergen and allergenic factors.

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Considering the context of functional data analysis, we developed and applied a new Bayesian approach via the Gibbs sampler to select basis functions for a finite representation of functional data. The proposed methodology uses Bernoulli latent variables to assign zero to some of the basis function coefficients with a positive probability. This procedure allows for an adaptive basis selection since it can determine the number of bases and which ones should be selected to represent functional data. Moreover, the proposed procedure measures the uncertainty of the selection process and can be applied to multiple curves simultaneously. The methodology developed can deal with observed curves that may differ due to experimental error and random individual differences between subjects, which one can observe in a real dataset application involving daily numbers of COVID-19 cases in Brazil. Simulation studies show the main properties of the proposed method, such as its accuracy in estimating the coefficients and the strength of the procedure to find the true set of basis functions. Despite having been developed in the context of functional data analysis, we also compared the proposed model via simulation with the well-established LASSO and Bayesian LASSO, which are methods developed for non-functional data.

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Abstract Objectives: This thesis aims to provide patients with a preventive and therapeutic basis by analyzing IgE level influencing factors of common allergens for Allergic Rhinitis (AR). Method: Multiple linear regression analysis is made upon questionnaires among 749 cases of AR patients that are divided into 5 age-based groups. Perform serum-specific IgE content testing on patients. Results: Cockroach being an allergen, AR patients' IgE Level is influenced by allergic history, home-raised plants and animals. For AR patients with mugwort as an allergen, allergy and asthma history could increase IgE level, respectively, β = 4.291 and β = 4.364. If the allergen turns out to be peanut, allergic history would increase the IgE level (β = 0.171), however, the level would be lower in female patients compared with male patients (β = -0.078). For patients with egg as an allergen, allergic history, home-raised plants and animals (pets) would all affect the IgE level, respectively, β = 0.182, β = 0.118 and β = -0.101. Conclusions: IgE level varies according to allergic history, home-raised plants & animals, gender, furniture renewal, asthma, and ages for patients with different allergens including cockroach, mold, mugwort, peanut, egg and crab. For each kind of allergen, the IgE levels react differently to different influencing factors, thus requiring a thorough analysis of each AR patient's allergen and allergenic factors.

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BACKGROUND: There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time. Using growth mixture modeling approaches, we aimed to investigate group-level heterogeneities in the growth trajectories of children aged 1 to 15 years. METHOD: This longitudinal study examined group-level growth heterogeneities in a sample of 3401 males and 3200 females. Data were analyzed using growth mixture modeling approaches. RESULTS: We examined different trajectories of growth change in children across four low- and middle-income countries using a data-driven growth mixture modeling technique. The study identified two-group trajectories: the most male samples group (n = 4260, 69.7%) and the most female samples group (n = 2341, 81.6%). The findings show that the two groups had different growth trajectories. Gender and country differences were shown to be related to growth factors; however, the association varied depending on the trajectory group. In both latent groups, females tended to have lower growth factors (initial height and rate of growth) than their male counterparts. Compared with children from Ethiopia, children from Peru and Vietnam tended to exhibit faster growth in height over time: In contrast, children from India showed a lower rate of change in both latent groups than that of children from Ethiopia. CONCLUSIONS: The height of children in four low- and middle-income countries showed heterogeneous changes over time with two different groups of growth trajectories.

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Relativistic adapted Gaussian basis sets of small and medium sizes are presented in this study for all elements from cesium to radon, including some alternative electron configurations. Both basis sets are made free of variational prolapse, being developed by means of a polynomial version of the generator coordinate Dirac-Fock method. In addition, these sets were designed to be promptly used with two popular finite nuclear models, uniform sphere and Gaussian nuclei. The largest basis set errors found with the uniform sphere nucleus are 27.3 and 10.6 mHartree, respectively, for the small- and medium-size sets. The largest basis set errors obtained with the Gaussian nuclear model are smaller, reaching 23.2 and 7.1 mHartree for the small- and medium-size sets, respectively. Soon, these basis sets will be augmented with polarization functions to be properly used in molecular calculations.

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Demyelinating diseases alter myelin or the coating surrounding most nerve fibers in the central and peripheral nervous systems. The grouping of human central nervous system demyelinating disorders today includes multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) as distinct disease categories. Each disease is caused by a complex combination of genetic and environmental variables, many involving an autoimmune response. Even though these conditions are fundamentally similar, research into genetic factors, their unique clinical manifestations, and lesion pathology has helped with differential diagnosis and disease pathogenesis knowledge. This review aims to synthesize the genetic approaches that explain the differential susceptibility between these diseases, explore the overlapping clinical features, and pathological findings, discuss existing and emerging hypotheses on the etiology of demyelination, and assess recent pathogenicity studies and their implications for human demyelination. This review presents critical information from previous studies on the disease, which asks several questions to understand the gaps in research in this field.

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Maritime activity has diverse environmental consequences impacts in port areas, especially for air quality, and the post-COVID-19 cruise tourism market's potential to recover and grow is causing new environmental concerns in expanding port cities. This research proposes an empirical and modelling approach for the evaluation of cruise ships' influence on air quality concerning NO2 and SO2 in the city of La Paz (Mexico) using indirect measurements. EPA emission factors and the AERMOD modelling system coupled to WRF were used to model dispersions, while street-level mobile monitoring data of air quality from two days of 2018 were used and processed using a radial base function interpolator. The local differential Moran's Index was estimated at the intersection level using both datasets and a co-location clustering analysis was performed to address spatial constancy and to identify the pollution levels. The modelled results showed that cruise ships' impact on air quality had maximum values of 13.66 µg/m3 for NO2 and 15.71 µg/m3 for SO2, while background concentrations of 8.80 for NOx and 0.05 for SOx (µg/m3) were found by analysing the LISA index values for intersections not influenced by port pollution. This paper brings insights to the use of hybrid methodologies as an approach to studying the influence of multiple-source pollutants on air quality in contexts totally devoid of environmental data.

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In this paper, we apply statistical methods for functional data to explore the heterogeneity in the registered number of deaths of COVID-19, over time. The cumulative daily number of deaths in regions across Brazil is treated as continuous curves (functional data). The first stage of the analysis applies clustering methods for functional data to identify and describe potential heterogeneity in the curves and their functional derivatives. The estimated clusters are labeled with different "levels of alert" to identify cities in a possible critical situation. In the second stage of the analysis, we apply a functional quantile regression model for the death curves to explore the associations with functional rates of vaccination and stringency and also with several scalar geographical, socioeconomic and demographic covariates. The proposed model gave a better curve fit at different levels of the cumulative number of deaths when compared to a functional regression model based on ordinary least squares. Our results add to the understanding of the development of COVID-19 death counts.

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O objetivo desse ensaio foi analisar as implicações da BNCC do Ensino Médio para a Educação Física Escolar em reflexividade dialógica e dialética pela análise histórica e política. Por meio de constatações teórica-empíricas, mostramos uma ampla denúncia sobre os interesses neoliberais envolvidos na concepção educativa da reforma do Ensino Médio, já que essa política educacional sistematiza uma educação a serviço do capital, com um reflexo nefasto para a formação crítica e reflexiva das juventudes. Assim, a Educação Física perde cada vez mais espaço, seja pelo seu caráter optativo efetivado pelos "estudos e práticas" do componente curricular; pelo rebaixamento de sua carga horária; por sua falta de legitimidade na sociedade contemporânea; ou por seus princípios epistemológicos, políticos e pedagógicos que se distanciam de uma educação eficiente pautada na Pedagogia das competências. Por fim, defendemos a revogação da BNCC e a organização coletiva de um novo documento curricular.

The objective of this essay was to analyze the implications of High School NCCB for Physical Education in dialogical and dialectical reflexivity through historical and political analysis. Through theoretical-empirical findings, we show a broad denunciation of neoliberal interests involved in the educational conception of the High School reform, since this educational policy systematizes an education at the service of capital, with a disastrous reflection for critical and reflective formation of youths. Thus, Physical Education loses more and more space, either because of its optional character effected by "studies and practices" of the curricular component; lowered workload; lack of legitimacy in contemporary society; or epistemological, political and pedagogical principles that distance themselves from an efficient education based on Competence Pedagogy. Finally, we support the revokement of the NCCB, and the collective organization of a new curriculum.

El objetivo de este ensayo fue analizar las implicaciones de la BNCC de Enseñanza Media para la Educación Física Escolar en la reflexividad dialógica y dialéctica por medio del análisis histórico y político. Mediante hallazgos teórico-empíricos, mostramos una amplia denuncia de los intereses neoliberales involucrados en la concepción educativa de la reforma, ya que esta política educativa sistematiza una educación al servicio del capital. Así, la Educación Física pierde cada vez más espacio, ya sea por su carácter optativo efectuado por los "estudios y prácticas" del componente curricular; por la reducción de su carga de trabajo; por su falta de legitimidad en la sociedad contemporánea; o por sus principios epistemológicos, políticos y pedagógicos que se distancian de una educación eficiente basada en la Pedagogía de las competencias. Finalmente, defendemos la derogación de la BNCC y la organización colectiva de un nuevo documento curricular.

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INTRODUCTION: After Hartmann-type colostomy, the adequate selection of some patients allows reversal and closure of the colostomy, however, this reversal is not free of complications. Among complications, anastomotic leaks and fistulae can have functional, economic, and oncological consequences. Complications have been treated with surgery; yet, this management has changed considerably in recent years, moving towards less invasive therapies. PRESENTATION OF CASE: This is the report of a 42-year-old man with a history of closed abdominal trauma with perforation of the sigmoid colon managed with a Hartmann-type colostomy. Six months later, he was admitted for a Hartmann reversal procedure without immediate complications. He was assessed again after 4 months observing a small area of erythema and periumbilical edema. EUS was performed without evidence of collections. Colonoscopy evidenced a 7-mm fistulous orifice in the colocolonic anastomosis. The Endo-VAC system was used, performing endoscopically exchanges twice a week following a low-residue diet. The procedure was performed on an outpatient basis and the closure of the leak hole in the colonic anastomosis was achieved in 30 days. DISCUSSION: Endoluminal vacuum therapy or EVAC, is an adaptation of the therapy used for negative pressure wound closure. This minimally invasive technique has been used for the treatment of gastrointestinal leaks and fistulae in selected patients and within a hospital setting. Our case presents the use of this technique in a late colocutaneous postoperative leak on an outpatient basis. CONCLUSION: To the best of our knowledge we report the first case of a late colocutaneous anastomotic leak managed with EVAC on an outpatient basis.

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In the current work, we describe the synthesis of 1,4-dihydropyridine (1,4-DHP) derivatives via Hantzsch multicomponent reaction and their evaluation as photosystem II (PSII) inhibitors through chlorophyll a fluorescence bioassay. Among all the compounds tested, 1,1'-(2,4,6-trimethyl-1,4-dihydropyridine-3,5-diyl)bis(ethan-1-one) (4b) showed best results, reducing the parameters performance index on absorption basis (PIabs ) and electron transport per reaction center by 61 % and 49 %, respectively, as compared to the control. These results indicate the inhibitory activity of PSII over the electron transport chain. Additionally, a molecular docking approach using the protein D1 (PDB code 4V82) was performed in order to assess the structure-activity relationship among the 1,4-DHP derivatives over the PSII, which revealed that both, size of the group at position 4 and the carbonyl groups at the dihydropyridine ring are important for the ligand's interaction, particularly for the hydrogen-bonding interaction with the residues His215, Ser264, and Phe265. Thus, the optimization of these molecular features is the aim of our research group to extend the knowledge of PSII electron chain inhibitors and the establishment of new potent bioactive molecular scaffolds.

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Type 1 diabetes mellitus is a disease that affects millions of people around the world. Recent progress in embedded devices has allowed the development of artificial pancreas that can pump insulin subcutaneously to automatically regulate blood glucose levels in diabetic patients. In this work, a Lyapunov-based intelligent controller using artificial neural networks is proposed for application in automated insulin delivery systems. The adoption of an adaptive radial basis function network within the control scheme allows regulation of blood glucose levels without the need for a dynamic model of the system. The proposed model-free approach does not require the patient to inform when they are going to have a meal and is able to deal with inter- and intrapatient variability. To ensure safe operating conditions, the stability of the control law is rigorously addressed through a Lyapunov-like analysis. In silico analysis using virtual patients are provided to demonstrate the effectiveness of the proposed control scheme, showing its ability to maintain normoglycemia in patients with type 1 diabetes mellitus. Three different scenarios were considered: one long- and two short-term simulation studies. In the short-term analyses, 20 virtual patients were simulated for a period of 7 days, with and without prior basal therapy, while in the long-term simulation, 1 virtual patient was assessed over 63 days. The results show that the proposed approach was able to guarantee a time in the range above 95% for the target glycemia in all scenarios studied, which is in fact well above the desirable 70%. Even in the long-term analysis, the intelligent control scheme was able to keep blood glucose metrics within clinical care standards: mean blood glucose of 119.59 mg/dL with standard deviation of 32.02 mg/dL and coefficient of variation of 26.78%, all below the respective reference values.

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Pratylenchus brachyurus causes serious damage to soybean production and other crops worldwide. Plant molecular responses to RLN infection remain largely unknown and no resistance genes have been identified in soybean. In this study, we analyzed molecular responses to RLN infection in moderately resistant BRSGO (Chapadões-BRS) and susceptible TMG115 RR (TMG) Glycine max genotypes. Differential expression analysis revealed two stages of response to RLN infection and a set of differentially expressed genes (DEGs) in the first stage suggested a pattern-triggered immunity (PTI) in both genotypes. The divergent time-point of DEGs between genotypes was observed four days post-infection, which included the activation of mitogen-activated protein kinase (MAPK) and plant-pathogen interaction genes in the BRS, suggesting the occurrence of an effector-triggered immunity response (ETI) in BRS. The co-expression analyses combined with single nucleotide polymorphism (SNP) uncovered a key element, a transcription factor phytochrome-interacting factor (PIF7) that is a potential regulator of moderate resistance to RLN infection. Two genes for resistance-related leucine-rich repeat (LRR) proteins were found as BRS-specific expressed genes. In addition, alternative splicing analysis revealed an intron retention in a myo-inositol oxygenase (MIOX) transcript, a gene related to susceptibility, may cause a loss of function in BRS.

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Two new relativistic adapted Gaussian basis sets of small and medium size are presented for all elements from Hydrogen through Xenon. These sets are free of variational prolapse and were developed with the polynomial generator coordinate Dirac-Fock method to be used with two finite nuclear models, uniform sphere and Gaussian. The largest basis set errors for electronic configurations from the Aufbau principle are around 10.0 and 4.7 mHartree for the small- and medium-size sets, respectively, which is in accordance with the accuracy level expected in each case. Hence, to our knowledge, these are the smallest prolapse free basis sets developed for these elements.

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Segmented all-electron basis sets of double and triple zeta valence qualities plus polarization functions (DZP and TZP) for the elements Fr, Ra, and Ac to be used with the zeroth-order regular approximation (ZORA) were presented. These sets were constructed from the reoptimization of the contraction coefficients of the corresponding non-relativistic basis sets. In order to adequately describe electrons distant from the atomic nuclei, these sets were augmented with diffuse functions and were, respectively, designated as ADZP-ZORA and ATZP-ZORA. At the ZORA-B3LYP theory level, the relativistic sets were employed to calculate ionization energies of Fr, Ra, and Ac as well as bond lengths, dissociation energies, harmonic vibrational frequencies, and static mean dipole polarizabilities of some diatomics. Comparing with benchmark theoretical results and with experimental data available in the literature, it can be verified that our basis sets are able to produce reliable and accurate results. Evaluation of the performances of ZORA and second-order Douglas-Kroll-Hess Hamiltonians was performed.

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BACKGROUND: Anthropometric measurements of healthy children differ in different parts of the world due to the diverse ethnicity and cultural backgrounds of families. In longitudinal studies, appropriate modeling of repeated anthropometric measures can improve the understanding of patterns of change, determinants of patterns, and variations in patterns of change over time. The objective of this study was to examine the latent change in physical height of children in Ethiopia, India, Peru, and Vietnam. METHOD: Longitudinal data of 6601 children aged 1 to 15 years were obtained from the Young Lives cohort study. The data were analyzed using a latent basis growth curve model. RESULTS: The findings of the study revealed that the rates of growth did not remain constant across the time intervals, which indicates the nonlinearity of the growth trajectory over time. For instance, children had the highest rate of growth between age 1 and 5 years, then between age 8 and 12 years, and a low rate of growth was observed between age 12 and 15 years. At the first measurement occasion (age 1 year) females were 0.826 cm (p < 0.0001) times shorter than males. The mean height at one year of age ranged from 72.13 cm in Ethiopia to 72.62 cm in India. Children in India and Vietnam had higher mean height at age one year. However, no significant difference in mean height at age one year was found between Ethiopian and Peruvian children, ([Formula: see text]). Peruvian and Vietnamese children grew at a faster rate, while Indian children grew at a slower rate than Ethiopian children. CONCLUSION: We found substantial latent growth variations among children in four low- and middle-income countries. The latent trajectories differed by gender and country. The outcomes of the study could aid in detecting inequalities in children's height growth.

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The objectives of this study were: (1) to identify and rank phenotypically divergent animals for residual feed intake (RFI) regarding their efficiency (high: HE or low: LE); (2) to evaluate their relationships with ingestive behavior, ruminal and blood parameters, performance, and infrared thermography; and (3) to determine if such measurements can be used as feed efficiency markers in rearing dairy heifers. Thirty-eight heifers, 143 d ± 4 (Mean ± SD) of age and 108.7 kg ± 17.9 of body weight were used. The animals were fed with a total mixed ration during the 91 d of the trial. A phenotypic divergence of DMI for RFI was observed between -0.358 and 0.337 kg/d for HE and LE, respectively. Dry matter intake (DMI) was lower in the HE (2.5 kg DMI/d vs. 3.1 kg DMI/d), as was the number of visits to the feed bin with consumption (59 vs. 71). Feed intake was the best predictor of said divergence. Water intake and number of visits to the feed bin were presented moderate correlations with RFI. The ruminal fermentation variables, blood metabolites, blood hormones (such as the other ingestive behavior variables), and infrared thermography were not able to accurately predict HE or LE animals.

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O Boletim de Análise da Situação de Saúde ­ BASIS, nasce da necessidade da produção de informação que permita descrever, explicar e avaliar o perfil de saúde-doença da população, incluindo os agravos ou problemas de saúde, assim como seus determinantes de uma forma mais global, uma vez que cada área técnica já vem produzindo e divulgando especificamente sobre as doenças e agravos sob sua vigilância.

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Apresentamos o BASIS ­ Boletim de Análise de Situação de Saúde, Ano I Número 2 elaborado pela Coordenação de Informação e Análise de Situação de Saúde com a colaboração de diversas áreas técnicas da Subsecretaria de Vigilância e Atenção Primária à Saúde. Esta edição apresenta uma análise descritiva da evolução do número de notificações de doenças e agravos no SINAN ­ Sistema Nacional de Agravos de Notificação, no âmbito do estado do Rio de Janeiro antes e durante a Pandemia de COVID-19. Inicialmente o documento apresenta um panorama geral dessa evolução do conjunto de notificações realizadas no SINAN em todo o estado. Em seguida, foram destacadas na análise as notificações de um conjunto de doenças e agravos selecionados conforme critério de magnitude e relevância. O intuito deste trabalho é buscar identificar o impacto da pandemia de COVID-19 no processo de registro e alimentação dos sistemas de informação, em particular o SINAN. Espera-se que a presente análise contribua para a elaboração de estratégias que fortaleçam e aprimorem o processo de produção de informação de qualidade sobre doenças, agravos e eventos relevantes para a saúde pública, além de apontar a necessidade de um registro fidedigno dos fatos com vistas à produção de informações confiáveis.

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O BASIS - Boletim de Análise da Situação de Saúde é produzido pela Coordenação de Informação e Análise de Situação de Saúde em parceria com áreas técnicas da Subsecretaria de Vigilância e Atenção Primária à Saúde. Neste terceiro volume, o BASIS aborda o tema das Doenças Negligenciadas (DN), um conjunto de doenças que receberam essa denominação pela Organização Mundial de Saúde, por estarem associada às condições de pobreza de populações, por terem recebido menores investimentos por muitos anos e despertado menor interesse de indústrias farmacêuticas internacionais (Brasil, 2021).

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