TEORIA DE CAMPOS E A INTELIGÊNCIA ARTIFICIAL INTEGRADAS NA ANÁLISE DAS TRANSIÇÕES ENTRE AS INTERFACES MATEMÁTICAS

Mathematics is a human creation. Therefore, humanity has the responsibility to disseminate the contentment and relevance of this invention, in order to make students believe that Mathematics is accessible and feasible to be learned. This work has as its primary purpose, recognizing the boundaries between the fields of Mathematics, treated in elementary school, considering three Interfaces: Arithmetic, Algebra and Geometry. The research benefited from the Theory of Fields and the Artificial Intelligence strategy to analyze and interpret the results obtained with the intervention of Experimental Activities in the Mathematics teaching-learning process. The investigation was carried out at Usina da Paz da Cabanagem, in the City of Belém in the State of Pará, involving students from the 5th to the 9th grade, from five public schools. The methodology applies the Mathematical-Computational resolution of Field Theory equations in Decision Trees. The results indicate which is the main Interface for each teaching period, identifying the borders of transition between these Interfaces.La Matemática son una creación humana. Por lo tanto, la humanidad tiene la responsabilidad de difundir el contenido y la pertinencia de este invento, para hacer creer a los estudiantes que la Matemática son accesibles y factibles de aprender. Este trabajo tiene como propósito primordial, reconocer los límites entre los campos de la Matemática, tratados en la escuela primaria, considerando tres Interfaces: Aritmética, Álgebra y Geometría. La investigación se benefició de la Teoría de Campos y la estrategia de Inteligencia Artificial para analizar e interpretar los resultados obtenidos con la intervención de Actividades Experimentales en el proceso de enseñanza-aprendizaje de la Matemática. La investigación fue realizada en la Usina da Paz da Cabanagem, involucrando alumnos del 5º al 9º grado, de cinco escuelas públicas. La metodología aplica la resolución Matemático-Computacional de ecuaciones de Teoría de Campos en Árboles de Decisión. Los resultados indican cuál es la Interfaz principal para cada período de enseñanza, identificando las fronteras de transición entre estas Interfaces.A Matemática é uma criação humana. Sendo assim, a humanidade possui a responsabilidade de disseminar o contentamento e a relevância dessa invenção, no sentido de fazer as(os) estudantes acreditarem que a Matemática é acessível e factível de ser aprendida. Esse trabalho apresenta como propósito primário, reconhecer as fronteiras entre os campos da Matemática, tratados no ensino fundamental, considerando três Interfaces: Aritmética, Álgebra e Geometria.  A pesquisa se beneficiou da Teoria de Campos e da estratégia de Inteligência Artificial para analisar e interpretar os resultados obtidos com a intervenção de Atividades Experimentais no processo de ensino-aprendizagem de Matemática. A investigação foi desenvolvida na Usina da Paz da Cabanagem, na Cidade de Belém do Estado do Pará, envolvendo estudantes do 5° ao 9° ano, de cinco escolas da rede púbica. A metodologia aplica a resolução Matemática-Computacional das equações da Teoria de Campos em Árvores de Decisão. Os resultados indicam qual a principal Interface para cada período de ensino, identificando as fronteiras de transição entre essas Interfaces.A Matemática é uma criação humana. Sendo assim, a humanidade possui a responsabilidade de disseminar o contentamento e a relevância dessa invenção, no sentido de fazer as(os) estudantes acreditarem que a Matemática é acessível e factível de ser aprendida. Esse trabalho apresenta como propósito primário, reconhecer as fronteiras entre os campos da Matemática, tratados no ensino fundamental, considerando três Interfaces: Aritmética, Álgebra e Geometria.  A pesquisa se beneficiou da Teoria de Campos e da estratégia de Inteligência Artificial para analisar e interpretar os resultados obtidos com a intervenção de Atividades Experimentais no processo de ensino-aprendizagem de Matemática. A investigação foi desenvolvida na Usina da Paz da Cabanagem, envolvendo estudantes do 5° ao 9° ano, de cinco escolas da rede púbica. A metodologia aplica a resolução Matemática-Computacional das equações da Teoria de Campos em Árvores de Decisão. Os resultados indicam qual a principal Interface para cada período de ensino, identificando as fronteiras de transição entre essas Interfaces

Cálculo diferencial e integral evoluindo a inteligência computacional Mediante a linguagem Python de programação: Differential and integral calculus evolving computational intelligence through the Python programming language

A proeminente relevância do Cálculo Diferencial e Integral, na Ciência e na Tecnologia, foram delineadas neste artigo. Explanados computacionalmente, Limites, de Derivadas e de Integrais, foram desenvolvidos em PYTHON, criando uma interface que favorece o processo de ensino-aprendizagem, com característica multidisciplinar. Três estudos estão dispostos no artigo, comprovando a aplicabilidade da estratégia em resultados, analíticos e gráficos, com altíssimo grau de precisão e acurácia.    &nbsp

Morphological study of the male genital organs of Gracilinanus microtarsus

Gracilinanus microtarsus is one of the smallest marsupials on earth. Since it spreads seeds, it has great ecological relevance. However, its reproduction data, especially those related to the anatomy of its reproduction apparatus, are scarce in the literature. Current analysis describes the male genital organs of six adult specimens of G. microtarsus. Macroscopic studies were undertaken on dissected organs, whereas histological studies were performed by inclusion technique in paraffin and by hematoxylin and eosin and Masson trichrome staining. The male genital organs of G. microtarsus consist of a penis with bifid glans, two testicles within a pendular scrotum, placed cranially to the penis, featuring a histology consisting of seminiferous tubules with spermatogonic cells, spermatozoa and Sertoli cells, and a peritubular region with Leydig cells. Testicles are closely associated with epididymis with head, body and tail, with histological differences between the different regions. Deferent ducts, spermatic funicles and annexed glands were reported. The latter were composed of prostate glands divided into three distinct segments and bulbourethral glands. Results show that the male reproduction system of G. Microtarsus is anatomically similar to that of Didelphis sp. and other marsupials groups, with slight details such as the site of each organ.

Análise cinética enzimática implementada pela matemática-computacional: Enzymatic kinetic analysis implemented by computational mathematics

O presente trabalho faz um ensaio sobre o movimento das enzimas e o reconhecimento de padrões dessa cinética. A pesquisa é fundamentada na equação de Michaelis-Menten e aponta outros modelos para ajustar a relação entre a velocidade inicial da reação em função da concentração do substrato. São indicados os modelos Linear, Quadrático, Cúbico, Exponencial, de Gauss, Potência e de Fourier. Os resultados obtidos à acurácia foram sempre superiores a 90% e maiores que 80% para a precisão. &nbsp

MODELO HÍBRIDO DE ANÁLISE FINANCEIRA APLICADO NO APRIMORAMENTO DA INTELIGÊNCIA DE NEGÓCIOS

This research aims to improve entrepreneurial management, especially those linked to informal and self-employed workers who encounter difficulties when faced with the use of mobile application technology. A Hybrid System is proposed as a way of helping to manage the business. This system combines Science and Technology, made possible by the knowledge of Financial Mathematics implemented in one of the most useful software in project management. From the interdisciplinarity between the areas of Mathematics, Economics, Programming Logic and Algorithms, it is intended to demonstrate a series of advantages of using applications that help in the management and organization of financial resources, providing an improvement in the performance and control of commercial activities, as well as in decision-making, resulting in a strategy called Business Intelligence.Esta investigación tiene como objetivo mejorar la gestión empresarial, especialmente aquellos vinculados a trabajadores informales y autónomos que encuentran dificultades ante el uso de la tecnología de aplicaciones móviles. Se propone un Sistema Híbrido como una forma de ayudar a gestionar el negocio. Este sistema combina Ciencia y Tecnología, hecho posible gracias al conocimiento de Matemática Financiera implementado en uno de los software más útiles en la gestión de proyectos. A partir de la interdisciplinariedad entre las áreas de Matemática, Economía, Lógica de Programación y Algoritmos, se pretende demostrar una serie de ventajas del uso de aplicaciones que ayuden en la gestión y organización de los recursos financieros, proporcionando una mejora en el desempeño y control de las actividades comerciales, así como en la toma de decisiones, dando como resultado una estrategia denominada Inteligencia de negocios.Esta pesquisa visa aprimorar a gestão empreendedora, em especial àquelas vinculadas aos trabalhadores informais e autônomos que encontram dificuldades quando se deparam com a utilização da tecnologia de aplicativos mobile. Propõem-se um Sistema Híbrido como forma de auxílio na administração dos negócios. Esse sistema associa Ciência e Tecnologia viabilizado pelos conhecimentos da Matemática Financeira implementados em um dos softwares mais úteis na gerência de empreendimentos. A partir da interdisciplinaridade entre as áreas da Matemática, Economia, Lógica de Programação e Algoritmos, pretende-se demonstrar uma série de vantagens da utilização de aplicativos que auxiliam na gestão e organização dos recursos financeiros, proporcionando uma melhora do desempenho e controle de atividades comerciais, bem como nas tomadas de decisões, resultando em uma estratégia denominada Inteligência de Negócios

Applying the Maternal Near Miss Approach for the Evaluation of Quality of Obstetric Care: A Worked Example from a Multicenter Surveillance Study

Objective. To assess quality of care of women with severe maternal morbidity and to identify associated factors. Method. This is a national multicenter cross-sectional study performing surveillance for severe maternal morbidity, using the World Health Organization criteria. the expected number of maternal deaths was calculated with the maternal severity index (MSI) based on the severity of complication, and the standardized mortality ratio (SMR) for each center was estimated. Analyses on the adequacy of care were performed. Results. 17 hospitals were classified as providing adequate and 10 as nonadequate care. Besides almost twofold increase in maternal mortality ratio, the main factors associated with nonadequate performance were geographic difficulty in accessing health services (P < 0.001), delays related to quality of medical care (P = 0.012), absence of blood derivatives (P = 0.013), difficulties of communication between health services (P = 0.004), and any delay during the whole process (P = 0.039). Conclusions. This is an example of how evaluation of the performance of health services is possible, using a benchmarking tool specific to Obstetrics. in this study the MSI was a useful tool for identifying differences in maternal mortality ratios and factors associated with nonadequate performance of care.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Campinas UNICAMP, Sch Med Sci, Dept Obstet & Gynaecol, BR-13083881 Campinas, SP, BrazilCtr Res Reprod Hlth Campinas Cemicamp, BR-13083888 Campinas, SP, BrazilUniv Fed Amazonas, Manaus, Amazonas, BrazilSch Med Sci, CISAM, Recife, PE, BrazilUniv Fed Ceara, Fortaleza, Ceara, BrazilUniv Fed Bahia, Salvador, BA, BrazilHosp Geral Cesar Cals, Fortaleza, Ceara, BrazilHosp Geral Fortaleza, Fortaleza, Ceara, BrazilMaternidade Odete Valadares, Belo Horizonte, MG, BrazilHosp Materno Infantil, Goiania, Go, BrazilInst Materno Infantil Pernambuco, Recife, PE, BrazilUniv Fed Pernambuco, Recife, PE, BrazilUniv Fed Campina Grande, Campina Grande, PB, BrazilUniv Fed Maranhao, Sao Luis, MA, BrazilUniv Fed Parana, BR-80060000 Curitiba, Parana, BrazilUniv Fed Paraiba, BR-58059900 Joao Pessoa, Paraiba, BrazilHosp Maternidade Fernando Magalhaes, Rio de Janeiro, RJ, BrazilUniv Fed Rio Grande do Sul, Porto Alegre, RS, BrazilHosp Maternidade Celso Pierro, Campinas, SP, BrazilInst Fernandes Figueira Fiocruz, Rio de Janeiro, RJ, BrazilHosp Israelita Albert Einstein, São Paulo, BrazilUniv State São Paulo, Botucatu, SP, BrazilJundiai Sch Med, Jundiai, SP, BrazilUniv São Paulo, BR-14049 Ribeirao Preto, SP, BrazilSanta Casa Limeira, Limeira, SP, BrazilSanta Casa Sao Carlos, Sao Carlos, SP, BrazilMaternidade Leonor Mendes de Barros, São Paulo, BrazilUniversidade Federal de São Paulo, São Paulo, BrazilUniversidade Federal de São Paulo, São Paulo, BrazilCNPq: 402702/2008-5Web of Scienc

Skin color and severe maternal outcomes: evidence from the brazilian network for surveillance of severe maternal morbidity

Taking into account the probable role that race/skin color may have for determining outcomes in maternal health, the objective of this study was to assess whether maternal race/skin color is a predictor of severe maternal morbidity. This is a secondary analysis of the Brazilian Network for Surveillance of Severe Maternal Morbidity, a national multicenter cross-sectional study of 27 Brazilian referral maternity hospitals. A prospective surveillance was performed to identify cases of maternal death (MD), maternal near miss (MNM) events, and potentially life-threatening conditions (PLTC), according to standard WHO definition and criteria. Among 9,555 women with severe maternal morbidity, data on race/skin color was available for 7,139 women, who were further divided into two groups: 4,108 nonwhite women (2,253 black and 1,855 from other races/skin color) and 3,031 white women. Indicators of severe maternal morbidity according to WHO definition are shown by skin color group. Adjusted Prevalence Ratios (PRadj - 95%CI) for Severe Maternal Outcome (SMO=MNM+MD) were estimated according to sociodemographic/obstetric characteristics, pregnancy outcomes, and perinatal results considering race. Results. Among 7,139 women with severe maternal morbidity evaluated, 90.5% were classified as PLTC, 8.5% as MNM, and 1.6% as MD. There was a significantly higher prevalence of MNM and MD among white women. MNMR (maternal near miss ratio) was 9.37 per thousand live births (LB). SMOR (severe maternal outcome ratio) was 11.08 per 1000 LB, and MMR (maternal mortality ratio) was 170.4 per 100,000 LB. Maternal mortality to maternal near miss ratio was 1 to 5.2, irrespective of maternal skin color. Hypertension, the main cause of maternal complications, affected mostly nonwhite women. Hemorrhage, the second more common cause of maternal complication, predominated among white women. Nonwhite skin color was associated with a reduced risk of SMO in multivariate analysis. Nonwhite skin color was associated with a lower risk for severe maternal outcomes. This result could be due to confounding factors linked to a high rate of Brazilian miscegenation.2019CNPQ - Conselho Nacional de Desenvolvimento Científico e Tecnológico402702/2008-

Search for direct production of charginos and neutralinos in events with three leptons and missing transverse momentum in √s = 7 TeV pp collisions with the ATLAS detector

A search for the direct production of charginos and neutralinos in final states with three electrons or muons and missing transverse momentum is presented. The analysis is based on 4.7 fb−1 of proton–proton collision data delivered by the Large Hadron Collider and recorded with the ATLAS detector. Observations are consistent with Standard Model expectations in three signal regions that are either depleted or enriched in Z-boson decays. Upper limits at 95% confidence level are set in R-parity conserving phenomenological minimal supersymmetric models and in simplified models, significantly extending previous results

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio