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Ecobeauty : scrubs, rubs, masks, and bath bombs for you and your friends
\"100 fresh and eco-friendly projects for body, face, and hair, from up-and-coming natural beauty expert, teenager Lauren Cox and her mother, leading home beauty author Janice Cox\"--Provided by publisher.
Book
Urban Bird Feeding: Connecting People with Nature
At a time of unprecedented biodiversity loss, researchers are increasingly recognizing the broad range of benefits provided to humankind by nature. However, as people live more urbanized lifestyles there is a progressive disengagement with the natural world that diminishes these benefits and discourages positive environmental behaviour. The provision of food for garden birds is an increasing global phenomenon, and provides a readily accessible way for people to counter this trend. Yet despite its popularity, quite why people feed birds remains poorly understood. We explore three loosely defined motivations behind bird feeding: that it provides psychological benefits, is due to a concern about bird welfare, and/or is due to a more general orientation towards nature. We quantitatively surveyed households from urban towns in southern England to explore attitudes and actions towards garden bird feeding. Each household scored three Likert statements relating to each of the three motivations. We found that people who fed birds regularly felt more relaxed and connected to nature when they watched garden birds, and perceived that bird feeding is beneficial for bird welfare while investing time in minimising associated risks. Finally, feeding birds may be an expression of a wider orientation towards nature. Overall, we found that the feelings of being relaxed and connected to nature were the strongest drivers. As urban expansion continues both to threaten species conservation and to change peoples' relationship with the natural world, feeding birds may provide an important tool for engaging people with nature to the benefit of both people and conservation.
Journal Article
Prediction of peptide mass spectral libraries with machine learning
The recent development of machine learning methods to identify peptides in complex mass spectrometric data constitutes a major breakthrough in proteomics. Longstanding methods for peptide identification, such as search engines and experimental spectral libraries, are being superseded by deep learning models that allow the fragmentation spectra of peptides to be predicted from their amino acid sequence. These new approaches, including recurrent neural networks and convolutional neural networks, use predicted in silico spectral libraries rather than experimental libraries to achieve higher sensitivity and/or specificity in the analysis of proteomics data. Machine learning is galvanizing applications that involve large search spaces, such as immunopeptidomics and proteogenomics. Current challenges in the field include the prediction of spectra for peptides with post-translational modifications and for cross-linked pairs of peptides. Permeation of machine-learning-based spectral prediction into search engines and spectrum-centric data-independent acquisition workflows for diverse peptide classes and measurement conditions will continue to push sensitivity and dynamic range in proteomics applications in the coming years.
Proteomics is being transformed by deep learning methods that predict peptide fragmentation spectra.
Journal Article
Efficacy of Recombinant Influenza Vaccine in Adults 50 Years of Age or Older
Influenza epidemics cause substantial morbidity. The seasonal vaccine, an important control measure, is not completely efficacious. This trial assessed the efficacy of a recombinant seasonal vaccine (made in a cell culture rather than with viruses grown in eggs).
Reducing the burden of influenza disease requires improved vaccines, and a recombinant influenza vaccine may contribute to this public-health goal.
1
This vaccine contains recombinant hemagglutinin (HA) proteins produced in a serum-free medium by
expres
SF+ cells. These cells contain recombinant baculovirus vectors carrying genes that code for HA. The process yields recombinant HA that is genetically identical to the selected influenza strains without extraneous egg proteins, formaldehyde, antibiotics, or preservatives. Influenza viruses are grown in eggs to produce the inactivated influenza vaccine (IIV); these viruses typically contain mutations in the genes that code for HA that may reduce vaccine effectiveness. . . .
Journal Article
Likeability of Garden Birds: Importance of Species Knowledge & Richness in Connecting People to Nature
Interacting with nature is widely recognised as providing many health and well-being benefits. As people live increasingly urbanised lifestyles, the provision of food for garden birds may create a vital link for connecting people to nature and enabling them to access these benefits. However, it is not clear which factors determine the pleasure that people receive from watching birds at their feeders. These may be dependent on the species that are present, the abundance of individuals and the species richness of birds around the feeders. We quantitatively surveyed urban households from towns in southern England to determine the factors that influence the likeability of 14 common garden bird species, and to assess whether people prefer to see a greater abundance of individuals or increased species richness at their feeders. There was substantial variation in likeability across species, with songbirds being preferred over non-songbirds. Species likeability increased for people who fed birds regularly and who could name the species. We found a strong correlation between the number of species that a person could correctly identify and how connected to nature they felt when they watched garden birds. Species richness was preferred over a greater number of individuals of the same species. Although we do not show causation this study suggests that it is possible to increase the well-being benefits that people gain from watching birds at their feeders. This could be done first through a human to bird approach by encouraging regular interactions between people and their garden birds, such as through learning the species names and providing food. Second, it could be achieved through a bird to human approach by increasing garden songbird diversity because the pleasure that a person receives from watching an individual bird at a feeder is dependent not only on its species but also on the diversity of birds at the feeder.
Journal Article
Midnight
All Jack's life, the nightmares had haunted him, dragging him back to a place where it was always midnight. Molly and Jack are deeply in love but their relationship is being torn apart by Jack's nightmares. Trapped in a place where he is taunted by eyes in the gloom, it is becoming harder for Molly to pull him free, and when daylight comes the haunting visions remain. He can make no sense of them, though when he is deep in the dreams, he knows exactly what's demanded of him. Realising that Jack is being driven close to the edge, Molly urges him to seek help, and with their relationship faltering, Jack decides to hunt for answers. His search takes him back to the place where he grew up, and it soon becomes clear that he must trace people from his past, particularly the one person he could turn to through his troubled childhood. But Jack could never have imagined the true horrors of what he is about to uncover.
Book
MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
Cox and Mann describe MaxQuant, a suite of algorithms for the analysis of high-resolution mass spectrometry data. The approach achieves substantial improvements in the accuracy of mass measurements and the peptide identification rate.
Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope–labeled (SILAC) peptide pairs as three-dimensional objects in
m
/
z
, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
Journal Article