How Fitness Impacts Quality of Modern Life

Health and fitness are an essential part of life. Nowadays, people come across a lot of fitness web applications that provides many diets and workout plans separately. This project is about the combination of workout and diet instruction for each member. First, a person must log in to this application by providing their name, mobile, email, height, weight, age, and gender. members can get memberships by registering, there will be a variety of memberships called as Gold, Silver, and Platinum under the price rate and time durations. Members can request an instructor. When members login into their individual user log they will be given a planned workout plan and a diet plan, which is provided by the instructor. Those workout and diet schedules for members were updated from the instructor login accordingly. For better service and ease, there is an online store for buying products related to maintaining health and diets. Users can do payments online. Members or customers can buy products from the online store by adding to the cart. This fitness training center is equipped with all the modern types of machinery and provides information about machinery data stored in the center. Services provided by the fitness training center are handled by the system administrator

Componentes da biomassa e características estruturais em capim-aruana sob diferentes frequências e intensidades de desfolhação

Resumo: O objetivo deste trabalho foi avaliar o efeito de frequências e intensidades de desfolhação sobre os componentes da biomassa e a estrutura do dossel em capim-aruana (Panicum maximum 'Aruana IZ-5'), pastejado sob lotação rotativa com ovinos. Avaliaram-se duas frequências de desfolhação (FD), com níveis de interceptação de 85 e 95% da radiação fotossinteticamente ativa (Irfa) incidente no topo do dossel, e duas intensidades de desfolhação (ID), com índices de área foliar residual (IAFr) de 1,0 e 1,8. Utilizou-se o delineamento inteiramente casualizado, com arranjo fatorial 2x2. Os componentes da biomassa e as características estruturais nas condições de pré-pastejo foram afetados principalmente pela FD, com a redução da biomassa de colmos verdes e de forragem morta, e, ainda, pela elevação da altura da primeira lígula viva. Pastos manejados com menor FD proporcionaram menor relação lâmina foliar/colmo, com média de 1,65, e os pastos com maior FD apresentaram média de lâmina foliar/colmo de 2,40. Os componentes da biomassa residual foram afetados pela ID, com maior biomassa de forragem verde residual em pastos manejados com IAFr de 1,8. Os pastos manejados com 95% de Irfa e IAFr de 1,8 apresentaram biomassa de colmo verde residual e biomassa de forragem morta residual superiores aos dos demais manejos. Para pastejo por ovinos, o capim-aruana deve ser manejado com frequência de 85% de Irfa e intensidade de desfolhação correspondente a IAFr de 1,0

Application of a novel Paenibacillus-specific PCR-DGGE method and sequence analysis to assess the diversity of Paenibacillus spp. in the maize rhizosphere

In this study, a Paenibacillus-specific PCR system, based on the specific primer PAEN515F in combination with bacterial primer R1401, was tested and used to amplify specific fragments of the 16S rRNA gene from rhizosphere DNA. The amplicons were used in a second (semi-nested) PCR for DGGE, in which bacterial primers F968GC and R1401 were used. The resulting products were separated into community fingerprints by DGGE. To assess the reliability of the method, the diversity of Paenibacillus species was evaluated on the basis of DNA extracted directly from the rhizospheres of four different cultivars of maize (Zea mays), i.e. CMS04, CMS11, CMS22 and CMS36, sown in two Brazilian field soils (Cerrado and V¿¡rzea). In addition, a clone library was generated from the PCR-generated 16S rDNA fragments, and selected clones were sequenced. The results of the bacterial community analyses showed, at the level of clone libraries, that considerable diversity among Paenibacillus spp. was present. The most dominantly found sequences clustered into 12 groups, each one potentially representing a species complex. Sequences closely affiliated with the P. macerans and P. azotofixans complexes were found in all samples, whereas other sequences were scarcer. Clones affiliated with the latter species complex were most abundant, representing 19 f all clones analysed. The Paenibacillus fingerprints generated via semi-nested PCR followed by DGGE showed a clear distinction between the maize plants grown in Cerrado versus V¿¡rzea soils. Thus, soil type, instead of maize cultivar type, was the overriding determinative factor that influenced the community structures of the Paenibacillus communities in the rhizospheres investigated. At a lower level (subcluster), there was a trend for maize cultivars CMS11 and CMS22 on the one hand, and CMS36 and CMS04 on the other hand, to cluster together, indicating that these respective pair of cultivars were similar in their Paenibacillus species composition. This trend was tentatively linked to the growth characteristics of these maize cultivars. These results clearly demonstrated the efficacy of the Paenibacillus-specific PCR-DGGE method in describing Paenibacillus species diversity in rhizosphere soils

Application of a novel Paenibacillus-specific PCR-DGGE method and sequence analysis to assess the diversity of Paenibacillus spp. in the maize rhizosphere

In this study, a Paenibacillus-specific PCR system, based on the specific primer PAEN515F in combination with bacterial primer R1401, was tested and used to amplify specific fragments of the 16S rRNA gene from rhizosphere DNA. The amplicons were used in a second (semi-nested) PCR for DGGE, in which bacterial primers F968GC and R1401 were used. The resulting products were separated into community fingerprints by DGGE. To assess the reliability of the method, the diversity of Paenibacillus species was evaluated on the basis of DNA extracted directly from the rhizospheres of four different cultivars of maize (Zea mays), i.e. CMS04, CMS11, CMS22 and CMS36, sown in two Brazilian field soils (Cerrado and V¿¡rzea). In addition, a clone library was generated from the PCR-generated 16S rDNA fragments, and selected clones were sequenced. The results of the bacterial community analyses showed, at the level of clone libraries, that considerable diversity among Paenibacillus spp. was present. The most dominantly found sequences clustered into 12 groups, each one potentially representing a species complex. Sequences closely affiliated with the P. macerans and P. azotofixans complexes were found in all samples, whereas other sequences were scarcer. Clones affiliated with the latter species complex were most abundant, representing 19 f all clones analysed. The Paenibacillus fingerprints generated via semi-nested PCR followed by DGGE showed a clear distinction between the maize plants grown in Cerrado versus V¿¡rzea soils. Thus, soil type, instead of maize cultivar type, was the overriding determinative factor that influenced the community structures of the Paenibacillus communities in the rhizospheres investigated. At a lower level (subcluster), there was a trend for maize cultivars CMS11 and CMS22 on the one hand, and CMS36 and CMS04 on the other hand, to cluster together, indicating that these respective pair of cultivars were similar in their Paenibacillus species composition. This trend was tentatively linked to the growth characteristics of these maize cultivars. These results clearly demonstrated the efficacy of the Paenibacillus-specific PCR-DGGE method in describing Paenibacillus species diversity in rhizosphere soils