Assessment of availability water at Boi Branco watershed through the water climate balance and growing

The water resources are fundamental to the development of several economic activities. Concerning the agriculture production, the water can represent close to 90% of the physical constitution of the plant. The low water supply during the growing stage of vegetables can make the agricultural production not viable and can even seriously affect the balance of the ecosystem

O perfil das mulheres que realizam o exame preventivo no consultório escola da Universidade Veiga de Almeida no período de outubro de 2018 a outubro de 2019

General Objectives: To describe the profile of women who undergo the preventive examination in the office of the Veiga de Almeida University campus Cabo Cold, based on data on occupation, age, marital status and year of the last preventive examination. Specific Objectives: To identify the characteristics of women attended at the university office at the Veiga de Almeida University, Cabo Frio campus; determine the profile of women who undergo preventive examination; to compare the mean age of the women attended and the frequency with what the Ministry of Health recommends for carrying out preventive measures.Objetivos Gerais: Descrever o perfil das mulheres que realizam o exame preventivo no consultório escola da Universidade Veiga de Almeida campus Cabo frio a partir dos dados de ocupação, idade, estado civil e ano do último preventivo. Objetivos Específicos: Identificar as características das mulheres atendidas no consultório escola da Universidade Veiga de Almeida campus Cabo Frio; determinar o perfil das mulheres que realizam o exame preventivo; comparar as médias de idade das mulheres atendidas e a periodicidade com o que o Ministério da Saúde preconiza para a realização do preventivo

O perfil das mulheres que realizam o exame preventivo no consultório escola da Universidade Veiga de Almeida no período de outubro de 2018 a outubro de 2019

General Objectives: To describe the profile of women who undergo the preventive examination in the office of the Veiga de Almeida University campus Cabo Cold, based on data on occupation, age, marital status and year of the last preventive examination. Specific Objectives: To identify the characteristics of women attended at the university office at the Veiga de Almeida University, Cabo Frio campus; determine the profile of women who undergo preventive examination; to compare the mean age of the women attended and the frequency with what the Ministry of Health recommends for carrying out preventive measures.Objetivos Gerais: Descrever o perfil das mulheres que realizam o exame preventivo no consultório escola da Universidade Veiga de Almeida campus Cabo frio a partir dos dados de ocupação, idade, estado civil e ano do último preventivo. Objetivos Específicos: Identificar as características das mulheres atendidas no consultório escola da Universidade Veiga de Almeida campus Cabo Frio; determinar o perfil das mulheres que realizam o exame preventivo; comparar as médias de idade das mulheres atendidas e a periodicidade com o que o Ministério da Saúde preconiza para a realização do preventivo

Uso de telas pela população pediátrica e seus impactos oftalmológicos a curto e a longo prazo: uma revisão sistemática : Use of screens by the pediatric population and its short and long-term ophthalmological impacts: a systematic review

Ao se discorrer sobre a formação e formatação da nossa sociedade, pode-se notar que cada vez mais esta está permeada pela tecnologia e pelos sistemas integrativos, processo esse benéfico para comunicação, gestão e tomada de decisões para além de ser uma ferramenta de trabalho e entretenimento, porém, com a progressiva quantidade de horas que ficamos expostos a este tipo de tecnologia também podem acarretar prejuízos a acuidade visual dos usuários. Juntamente a isso, nota-se que as crianças estão tendo cada vez mais precocemente acesso os equipamentos eletrônicos e deixando de lado as brincadeiras, desta forma a partir de uma pesquisa qualitativa, feita a partir de um levantamento bibliográfico, pode-se dispor que esta busca compreender quais são os sintomas e efeitos do uso excessivo deste tipo de ferramenta e algumas formas de tratamento e profilaxia que podem ser dispostas sobre o tema, com enfoque na população pediátrica

Lidocaína como Adjuvante na Anestesia Peridural para Cesariana: Avaliação de eficácia e resultados

Objective: This study aims to analyze the efficacy, safety, and applicability of lidocaine as an adjuvant in epidural anesthesia for cesarean sections, considering different protocols and their impacts on clinical parameters.  Introduction: Lidocaine as an adjuvant in epidural anesthesia for cesarean sections plays a crucial role in obstetric pain management. This review encompasses its efficacy, safety, and impacts on various clinical aspects, aiming to enhance contemporary anesthetic practices. Methodology: The methodology involved a systematic integrative review of clinical studies investigating the use of lidocaine as an adjuvant in epidural anesthesia for cesarean sections. The comprehensive analysis considered different administration protocols, dosages, and concentrations, evaluating efficacy, safety, and impacts on diverse clinical parameters. Results: The results consistently revealed the efficacy of lidocaine in epidural analgesia for cesarean sections, with positive impacts on pain relief. A relative safety was also observed, emphasizing the importance of individualizing administration protocols. Conclusion: In summary, lidocaine as an adjuvant in epidural anesthesia for cesarean sections demonstrates remarkable efficacy in pain relief while maintaining a safety profile when administered prudently. Its applicability and versatility reinforce its relevant role in optimizing obstetric anesthetic practices.Objetivo: Este estudo visa analisar a eficácia, segurança e aplicabilidade da lidocaína como adjuvante na anestesia peridural para cesarianas, considerando diferentes protocolos e seus impactos em parâmetros clínicos. Introdução: A lidocaína como adjuvante na anestesia peridural para cesarianas desempenha um papel crucial na gestão da dor obstétrica. Esta revisão abrange sua eficácia, segurança e impactos em diferentes aspectos clínicos, visando aprimorar as práticas anestésicas contemporâneas. Metodologia: A metodologia envolveu a revisão integrativa sistemática de estudos clínicos que investigaram o uso da lidocaína como adjuvante em anestesia peridural para cesarianas. A análise abrangente considerou diferentes protocolos de administração, dosagens e concentrações, avaliando a eficácia, segurança e impactos em parâmetros clínicos diversos. Resultados: Os resultados revelaram consistentemente a eficácia da lidocaína na analgesia peridural para cesarianas, com impactos positivos no alívio da dor. Observou-se também uma relativa segurança, destacando a importância da individualização dos protocolos de administração. Conclusão: Em síntese, a lidocaína como adjuvante na anestesia peridural para cesarianas demonstra eficácia notável no alívio da dor, mantendo um perfil de segurança quando administrada com prudência. Sua aplicabilidade e versatilidade reforçam seu papel relevante na otimização das práticas anestésicas obstétricas

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

ATLANTIC-PRIMATES: a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km 2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km 2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. © 2018 by the The Authors. Ecology © 2018 The Ecological Society of Americ

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost