Evaluating backwashing efficiency of poly(vinylidene fluoride) (PVDF) membrane fouled by protein and yeast

This collection is the result of an investigation into the backwashing efficiency of poly(vinylidene fluoride) (PVDF) membrane fouled by two types of organic foulants, protein and yeast. In this experiement, poly(vinylidene fluoride) (PVDF) membrane was used to filter those organic foulants from suspensions in a dead-end stirred cell. The organic foulants were stained with fluorescent dyes before filtration. After filtration, the PC membrane was backwashed. Consequently, a stack of images were captured from the fouling layers on the PVDF membrane surface using confocal laser scanning microscope (CLSM) and its associated image acquisition software. It contains image data of poly(vinylidene fluoride) (PVDF) membranes' fouling layer when two types of organic foulants (protein and yeast) present. By comparing with the same membrane without backwashing, the efficiency of backwashing was computed. This data collection would be useful to researchers who are evaluating the backwashing efficiency of PVDF membrane in order to optimize frequency and operational conditions of backwashing by membrane materials and by water.

Evaluating backwashing efficiency of polycarbonate (PC) membrane fouled by protein and sodium alginate

This collection is the result of an investigation into the backwashing efficiency of polycarbonate (PC) membrane fouled by two types of organic foulants, protein and sodium alginate. In this experiement, polycarbonate (PC) membrane was used to filter those organic foulants from suspensions in a dead-end stirred cell. The organic foulants were stained with fluorescent dyes before filtration. After filtration, the PC membrane was backwashed. Consequently, a stack of images were captured from the fouling layers on the PC membrane surface using confocal laser scanning microscope (CLSM) and its associated image acquisition software. It contains image data of polycarbonate (PC) membranes' fouling layer when two types of organic foulants (protein and sodium alginate) are present. By comparing with the same membrane without backwashing, the efficiency of backwashing was computed. This data collection would be useful to researchers evaluating the backwashing efficiency of PC membrane in order to optimize frequency and operational conditions of backwashing by membrane materials researchers and by water..

Evaluating backwashing efficiency of poly(vinylidene fluoride) (PVDF) membrane fouled by yeast and sodium alginate

This collection is the result of an investigation into the backwashing efficiency of poly(vinylidene fluoride) (PVDF) membrane fouled by yeast and sodium alginate. In this experiement, poly(vinylidene fluoride) (PVDF) membrane was used to filter two types of organic foulants from suspensions in a dead-end stirred cell. The organic foulants including yeast and sodium alginate were stained with fluorescent dyes before filtration. After filtration, the PC membrane was backwashed. Consequently, a stack of images were captured from the fouling layers on the PVDF membrane surface using confocal laser scanning microscope (CLSM) and its associated image acquisition software. The data collection contains image data of poly(vinylidene fluoride) (PVDF) membranes' fouling layer when two types of organic foulants (yeast and sodium alginate) are present. By comparing with the same membrane without backwashing, the efficiency of backwashing was computed. The collection would be useful to researchers evaluating the backwashing efficiency of poly(vinylidene fluoride) (PVDF) membrane in order to optimize frequency and operational conditions of backwashing by membrane materials and by water.

Evaluating backwashing efficiency of polycarbonate (PC) membrane fouled by protein, sodium alginate and yeast

This collection is the result of an investigation into the backwashing efficiency of polycarbonate (PC) membrane fouled by three types of organic foulants, protein, sodium alginate and yeast. In this experiement, polycarbonate (PC) membrane was used to filter those organic foulants from suspensions in a dead-end stirred cell. The organic foulants were stained with fluorescent dyes before filtration. After filtration, the PC membrane was backwashed. Consequently, a stack of images were captured from the fouling layers on the PC membrane surface using confocal laser scanning microscope (CLSM) and its associated image acquisition software. It contains image data of polycarbonate (PC) membranes' fouling layer when three types of organic foulants (protein, sodium alginate and yeast) are present. By comparing with the same membrane without backwashing, the efficiency of backwashing was computed. This data collection would be useful to researchers who are evaluating the backwashing efficiency of PC membrane in order to optimize frequency and operational conditions of backwashing by membrane materials and by water..

Evaluating backwashing efficiency of polycarbonate (PC) membrane fouled by protein and yeast

This collection is the result of an investigation into the backwashing efficiency of polycarbonate (PC) membrane fouled by two types of organic foulants, protein and yeast. In this experiment, polycarbonate (PC) membrane was used to filter those organic foulants from suspensions in a dead-end stirred cell. The organic foulants were stained with fluorescent dyes before filtration. After filtration, the PC membrane was backwashed. Consequently, a stack of images were captured from the fouling layers on the PC membrane surface using confocal laser scanning microscope (CLSM) and its associated image acquisition software. It contains image data of polycarbonate (PC) membranes' fouling layer when two types of organic foulants (protein and yeast) present. By comparing with the same membrane without backwashing, the efficiency of backwashing was computed. This data collection would be useful to researchers evaluating the backwashing efficiency of PC membrane in order to optimize frequency and operational conditions of backwashing by membrane materials and by water.

Evaluating backwashing efficiency of polycarbonate (PC) membrane fouled by sodium alginate and yeast

This collection is the result of an investigation into the backwashing efficiency of polycarbonate (PC) membrane fouled by two types of organic foulants, sodium alginate and yeast. In this experiement, polycarbonate (PC) membrane was used to filter those organic foulants from suspensions in a dead-end stirred cell. The organic foulants were stained with fluorescent dyes before filtration. After filtration, the PC membrane was backwashed. Consequently, a stack of images were captured from the fouling layers on the PC membrane surface using confocal laser scanning microscope (CLSM) and its associated image acquisition software. It contains image data of polycarbonate (PC) membranes' fouling layer when two types of organic foulants (sodium alginate and yeast) present. By comparing with the same membrane without backwashing, the efficiency of backwashing was computed. This data collection would be useful to researchers evaluating the backwashing efficiency of PC membrane in order to optimize frequency and operational conditions of backwashing by membrane materials and by water..

Building genetic networks using relatedness information : a novel approach for the estimation of dispersal and characterization of group structure in social animals

Natal dispersal is an important life history trait driving variation in individual fitness, and therefore, a proper understanding of the factors underlying dispersal behaviour is critical to many fields including population dynamics, behavioural ecology and conservation biology. However, individual dispersal patterns remain difficult to quantify despite many years of research using direct and indirect methods. Here, we quantify dispersal in a single intensively studied population of the cooperatively breeding chestnut-crowned babbler (Pomatostomus ruficeps) using genetic networks created from the combination of pairwise relatedness data and social networking methods and compare this to dispersal estimates from re-sighting data. This novel approach not only identifies movements between social groups within our study sites but also provides an estimation of immigration rates of individuals originating outside the study site. Both genetic and re-sighting data indicated that dispersal was strongly female biased, but the magnitude of dispersal estimates was much greater using genetic data. This suggests that many previous studies relying on mark–recapture data may have significantly underestimated dispersal. An analysis of spatial genetic structure within the sampled population also supports the idea that females are more dispersive, with females having no structure beyond the bounds of their own social group, while male genetic structure expands for 750 m from their social group. Although the genetic network approach we have used is an excellent tool for visualizing the social and genetic microstructure of social animals and identifying dispersers, our results also indicate the importance of applying them in parallel with behavioural and life history data.

CONBPS : an expert system to improve the efficiency of the construction process

The aim of the research outlined in this paper is to develop a best practice process model for building projects based on the use of an expert system. The CONstruction Best Practice System (CONBPS) focusses on projects which are based on the traditional procurement strategy, using the JCT 80 standard form of contract. The model clearly identifies the sequence of construction activities. It also identifies the roles and responsibilities of the major parties on the building team and the issues within the project cycle, which can prove critical to project success. The system incorporates many user-friendly functions, including the provision of multi-choice icons and the provision of an on-line help function. Besides, it also provides interim and final reports which are used to advise the participants on the success factors that they have ignored and to which aspects they should pay more attention. A framework was initially developed focussing on the whole design process with a full knowledge-based system developed for the Inception Stage. CONBPS can be used as a teaching/learning tool to assist teachers and students to better understand the construction process. Also, it could prove useful to project managers and all the participants in the construction process.