Sustainability measurement at logistics transportation company

The concern for reducing CO2 emissions has been growing exponentially. Companies have been developing mechanisms and metrics that allow the generalized reduction of their carbon footprint, through the renewal of energy sources, and development of more energy efficient activities. Our study has two main objectives. The first is to develop a model to calculate the carbon footprint of a transport company operating in the Iberian Peninsula, based on the calculation methodologies provided by the Lean&Green program, which are governed by the ISO14064 and EN16258 protocols. The second objective is to identify characteristics, patterns and factors that influence carbon emissions and therefore contribute to the calculation of the carbon footprint. Thus, for this research work we identified indicators associated with the activity developed by the logistics company. We implemented an approach to measure CO2 emissions to verify the assumed reduction goal of at least 20% over a period of 5 years compared to the CO2 emissions emitted in 2017. In the work processes, the CRIPS-DM methodology was followed, with data collected through an API made available by the company for the first half of 2022. As a result of the visualization techniques adopted and consequent analyses developed, we identified the main factors that contribute to the calculation of the carbon footprint. We developed a carbon footprint calculation model and a set of management metrics in order to monitor CO2 emissions.A preocupação generalizada pela redução de emissões de CO2 tem vindo a crescer de forma exponencial. As empresas têm vindo a desenvolver mecanismos e métricas que permitam a redução generalizada da sua pegada carbónica, através de renovação de fontes de energia, e desenvolvimento de atividades energeticamente mais eficientes. O nosso estudo tem dois objetivos principais. O primeiro passa pelo desenvolvimento de um modelo para cálculo da pegada de carbono de uma empresa de transportes a operar na península ibérica, tendo por base as metodologias de cálculo previstas no programa Lean&Green, as quais se regem pelos protocolos ISO14064 e EN16258. O segundo objetivo consiste na identificação de caraterísticas, padrões e fatores que influenciem a emissão de carbono e consequentemente contribuam para a o cálculo da pegada de carbono. Desta forma, para este trabalho de investigação identificámos indicadores associados à atividade desenvolvida pela empresa de logística. Implementámos uma abordagem de medição das emissões de CO2 para verificar o objetivo de redução assumido de pelo menos 20% durante um período de 5 anos face às emissões de CO2 emitidas no ano de 2017. Nos processos de trabalho foi seguida a metodologia CRIPS-DM, tendo sido os dados recolhidos através de uma API disponibilizada pela empresa para o primeiro semestre de 2022. Decorrente das técnicas de visualização adotadas e consequente análises desenvolvidas, identificámos os principais fatores que contribuem para o cálculo da pegada de carbono. Desenvolvemos um modelo de cálculo da pegada de carbono e um conjunto de métricas de gestão por forma a monitorizar as emissões de CO2

Self-medication In Children And Adolescents.

To determine the prevalence of self-medication in children and adolescents in the municipalities of Limeira and Piracicaba, state of São Paulo, and to correlate results with sociodemographic indicators and with the use of health care services (public or private). Descriptive population-based study of a simple random sample from the two municipalities, comprised of 772 inhabitants from 85 urban census sectors selected through cluster sampling. age < or = 18 years; interview with one parent/tutor; consumption of at least one drug in the previous 15 days. Subjects were divided into two study groups according to their pattern of drug use: self-medication (lay advice) and medical prescription. Linear association tests, descriptive analysis of variables and multiple logistic regression tests were carried out to analyze data. The prevalence of self-medication was 56.6%. Mothers (51%) and drugstore employees (20.1%) were most frequently responsible for self-medication. The main groups of self-prescribed drugs were: analgesic/antipyretic and non-hormonal anti-inflammatory drugs (52.9%); drugs acting on the respiratory tract (15.4%) and gastrointestinal drugs (9.6%); and systemic antibiotics (8.6%). The situation that most commonly motivated self-medication were respiratory diseases (17.2%), fever (15%), and headache (14%). Subjects in the age group of 7-18 years (odds ratio = 2.81) and public health care users (odds ratio = 1.52) showed increased risk for self-medication. The prevalence of self-medication in children and adolescents was high, which reinforces the need for public health interventions aiming at preventing this practice.83453-

Genome of Herbaspirillum seropedicae Strain SmR1, a Specialized Diazotrophic Endophyte of Tropical Grasses

The molecular mechanisms of plant recognition, colonization, and nutrient exchange between diazotrophic endophytes and plants are scarcely known. Herbaspirillum seropedicae is an endophytic bacterium capable of colonizing intercellular spaces of grasses such as rice and sugar cane. The genome of H. seropedicae strain SmR1 was sequenced and annotated by The Paraná State Genome Programme—GENOPAR. The genome is composed of a circular chromosome of 5,513,887 bp and contains a total of 4,804 genes. The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases. The genome contains a multitude of protein secretion systems, including type I, type II, type III, type V, and type VI secretion systems, and type IV pili, suggesting a high potential to interact with host plants. H. seropedicae is able to synthesize indole acetic acid as reflected by the four IAA biosynthetic pathways present. A gene coding for ACC deaminase, which may be involved in modulating the associated plant ethylene-signaling pathway, is also present. Genes for hemagglutinins/hemolysins/adhesins were found and may play a role in plant cell surface adhesion. These features may endow H. seropedicae with the ability to establish an endophytic life-style in a large number of plant species

ATLANTIC BIRDS: a data set of bird species from the Brazilian Atlantic Forest

South America holds 30% of the world's avifauna, with the Atlantic Forest representing one of the richest regions of the Neotropics. Here we have compiled a data set on Brazilian Atlantic Forest bird occurrence (150,423) and abundance samples (N = 832 bird species; 33,119 bird individuals) using multiple methods, including qualitative surveys, mist nets, point counts, and line transects). We used four main sources of data: museum collections, on-line databases, literature sources, and unpublished reports. The data set comprises 4,122 localities and data from 1815 to 2017. Most studies were conducted in the Florestas de Interior (1,510 localities) and Serra do Mar (1,280 localities) biogeographic sub-regions. Considering the three main quantitative methods (mist net, point count, and line transect), we compiled abundance data for 745 species in 576 communities. In the data set, the most frequent species were Basileuterus culicivorus, Cyclaris gujanensis, and Conophaga lineata. There were 71 singletons, such as Lipaugus conditus and Calyptura cristata. We suggest that this small number of records reinforces the critical situation of these taxa in the Atlantic Forest. The information provided in this data set can be used for macroecological studies and to foster conservation strategies in this biodiversity hotspot. No copyright restrictions are associated with the data set. Please cite this Data Paper if data are used in publications and teaching events. © 2017 by 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 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

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

Automedicação em crianças e adolescentes Self-medication in children and adolescents

OBJETIVO: Determinar a prevalência da automedicação em crianças e adolescentes dos municípios de Limeira e Piracicaba (SP), correlacionando-a a indicadores sociodemográficos e utilização de serviços de saúde (pública ou privada). MÉTODOS: Estudo descritivo tipo inquérito populacional domiciliar de uma amostra aleatória simples de ambos os municípios, constituída de 772 moradores procedentes de 85 setores censitários selecionados por meio de amostragem por conglomerado. Critérios de inclusão: idade < 18 anos; entrevista obrigatória com um dos responsáveis legais; ter consumido pelo menos um medicamento nos 15 dias prévios à data da entrevista. Segundo a orientação de uso de medicamentos, os participantes foram divididos em dois grupos de estudo: automedicação (orientação leiga) e prescrição médica. Foram realizados testes de associação linear, análise descritiva das variáveis e regressão logística múltipla. RESULTADOS: A prevalência da automedicação foi de 56,6%. Os principais responsáveis e indutores da automedicação foram as mães (51%) e funcionários de farmácia (20,1%). Os principais grupos de medicamentos administrados na automedicação foram: analgésicos/antipiréticos e antiinflamatórios não-hormonais (52,9%); medicações de ação nos tratos respiratório (15,4%) e gastrointestinal (9,6%); e antibióticos sistêmicos (8,6%). As situações que mais motivaram a automedicação foram afecções respiratórias (17,2%), febre (15%) e cefaléia (14%). Indivíduos na faixa etária de 7-18 anos (razão de chances = 2,81) e usuários de serviços públicos de saúde (razão de chances = 1,52) apresentaram risco aumentado de automedicação. CONCLUSÕES: A prevalência da automedicação em crianças e adolescentes foi alta, reforçando a necessidade de intervenção das autoridades de saúde na prevenção desses agravos.<br>OBJECTIVE: To determine the prevalence of self-medication in children and adolescents in the municipalities of Limeira and Piracicaba, state of São Paulo, and to correlate results with sociodemographic indicators and with the use of health care services (public or private). METHODS: Descriptive population-based study of a simple random sample from the two municipalities, comprised of 772 inhabitants from 85 urban census sectors selected through cluster sampling. Inclusion criteria: age < 18 years; interview with one parent/tutor; consumption of at least one drug in the previous 15 days. Subjects were divided into two study groups according to their pattern of drug use: self-medication (lay advice) and medical prescription. Linear association tests, descriptive analysis of variables and multiple logistic regression tests were carried out to analyze data. RESULTS: The prevalence of self-medication was 56.6%. Mothers (51%) and drugstore employees (20.1%) were most frequently responsible for self-medication. The main groups of self-prescribed drugs were: analgesic/antipyretic and non-hormonal anti-inflammatory drugs (52.9%); drugs acting on the respiratory tract (15.4%) and gastrointestinal drugs (9.6%); and systemic antibiotics (8.6%). The situation that most commonly motivated self-medication were respiratory diseases (17.2%), fever (15%), and headache (14%). Subjects in the age group of 7-18 years (odds ratio = 2.81) and public health care users (odds ratio = 1.52) showed increased risk for self-medication. CONCLUSIONS: The prevalence of self-medication in children and adolescents was high, which reinforces the need for public health interventions aiming at preventing this practice

Self-medication in children and adolescents

OBJECTIVE: To determine the prevalence of self-medication in children and adolescents in the municipalities of Limeira and Piracicaba, state of São Paulo, and to correlate results with sociodemographic indicators and with the use of health care services (public or private). METHODS: Descriptive population-based study of a simple random sample from the two municipalities, comprised of 772 inhabitants from 85 urban census sectors selected through cluster sampling. Inclusion criteria: age &lt; 18 years; interview with one parent/tutor; consumption of at least one drug in the previous 15 days. Subjects were divided into two study groups according to their pattern of drug use: self-medication (lay advice) and medical prescription. Linear association tests, descriptive analysis of variables and multiple logistic regression tests were carried out to analyze data. RESULTS: The prevalence of self-medication was 56.6%. Mothers (51%) and drugstore employees (20.1%) were most frequently responsible for self-medication. The main groups of self-prescribed drugs were: analgesic/antipyretic and non-hormonal anti-inflammatory drugs (52.9%); drugs acting on the respiratory tract (15.4%) and gastrointestinal drugs (9.6%); and systemic antibiotics (8.6%). The situation that most commonly motivated self-medication were respiratory diseases (17.2%), fever (15%), and headache (14%). Subjects in the age group of 7-18 years (odds ratio = 2.81) and public health care users (odds ratio = 1.52) showed increased risk for self-medication. CONCLUSIONS: The prevalence of self-medication in children and adolescents was high, which reinforces the need for public health interventions aiming at preventing this practice.OBJETIVO: Determinar a prevalência da automedicação em crianças e adolescentes dos municípios de Limeira e Piracicaba (SP), correlacionando-a a indicadores sociodemográficos e utilização de serviços de saúde (pública ou privada). MÉTODOS: Estudo descritivo tipo inquérito populacional domiciliar de uma amostra aleatória simples de ambos os municípios, constituída de 772 moradores procedentes de 85 setores censitários selecionados por meio de amostragem por conglomerado. Critérios de inclusão: idade &lt; 18 anos; entrevista obrigatória com um dos responsáveis legais; ter consumido pelo menos um medicamento nos 15 dias prévios à data da entrevista. Segundo a orientação de uso de medicamentos, os participantes foram divididos em dois grupos de estudo: automedicação (orientação leiga) e prescrição médica. Foram realizados testes de associação linear, análise descritiva das variáveis e regressão logística múltipla. RESULTADOS: A prevalência da automedicação foi de 56,6%. Os principais responsáveis e indutores da automedicação foram as mães (51%) e funcionários de farmácia (20,1%). Os principais grupos de medicamentos administrados na automedicação foram: analgésicos/antipiréticos e antiinflamatórios não-hormonais (52,9%); medicações de ação nos tratos respiratório (15,4%) e gastrointestinal (9,6%); e antibióticos sistêmicos (8,6%). As situações que mais motivaram a automedicação foram afecções respiratórias (17,2%), febre (15%) e cefaléia (14%). Indivíduos na faixa etária de 7-18 anos (razão de chances = 2,81) e usuários de serviços públicos de saúde (razão de chances = 1,52) apresentaram risco aumentado de automedicação. CONCLUSÕES: A prevalência da automedicação em crianças e adolescentes foi alta, reforçando a necessidade de intervenção das autoridades de saúde na prevenção desses agravos