The Chemical Quality of Some Legumes, Peas, Fava Beans, Blue and White Lupins and Soybeans Cultivated in Finland

The cultivation and management of different legume species and their varieties were tested in South-Western Finland at farmers＇ fields in two years, 2010 and 2011. The studied legumes were peas and lava beans, and included also such species which are seldom or not normally cultivated in Finland, namely soybeans and blue and white lupins. Seed samples were collected from legume farms. The quality of different legume species was analysed and compared to each others. The chemical qualities were analysed for crude protein, fat, fibre, ash, nitrogen-free extract and phytic acid contents, and amino acid composition. The quality of the varieties of lupins and soybeans were compared to the quality of pea and fava bean varieties, which are generally cultivated nowadays in Finland. The highest protein contents were in soybean （369 and 379 g kg^-1） and white lupin （382 g kg^-1） and the lowest in pea varieties. Amino acid composition of legumes is good, but lupins have lower lysine content （g 100 g^-1 protein） than other legumes. High fat contents were in soybeans （91 and 100 g kg^-1） and white lupin （101 g kgl）, and moderate in blue lupin （30-49 g kg^-1）. Fuego fava bean variety had lower protein content than Kontu. The highest phytic acid contents were in soybeans （18.9 and 22.6 mg kg^-1） and the lowest in white lupin （6.2 mg kg^-1）. Lupins are interesting protein crops, especially white lupin with high protein and fat and low phytic acid contents. Lupins are not day length sensitive, like soybean, and therefore valuable for long-day cultivation conditions The present research strengthens the good chemical quality of legumes for food and feed purposes.

Machine learning for enumeration of cell colony forming units

As one of the most widely used assays in biological research,an enumeration of the bacterial cell colonies is an important but time-consuming and labor-intensive process.To speed up the colony counting,a machine learning method is presented for counting the colony forming units(CFUs),which is referred to as CFUCounter.This cellcounting program processes digital images and segments bacterial colonies.The algorithm combines unsupervised machine learning,iterative adaptive thresholding,and local-minima-based watershed segmentation to enable an accurate and robust cell counting.Compared to a manual counting method,CFUCounter supports color-based CFU classification,allows plates containing heterologous colonies to be counted individually,and demonstrates overall performance(slope 0.996,SD 0.013,95%CI:0.97–1.02,p value<1e-11,r=0.999)indistinguishable from the gold standard of point-and-click counting.This CFUCounter application is open-source and easy to use as a unique addition to the arsenal of colony-counting tools.

A New Approach to the Magnetochemical Theory Near Death Experiences and of Formation Phosphine from Phosphates

The authors have proposed a new approach to the theory of formation of phosphine from phosphates and death. According to this hypothesis, the initial impetus for the beginning of the dying process is the formation of phosphates and phosphine decomposition of adenosine triphosphate molecule. This process makes people survived clinical death vision of ＂blue and white tunnel＂ and the separation of the soul from the body. The authors proposed chemical mechanism for the recovery of phosphate to phosphine.

Fish assemblages in protected seagrass habitats:Assessing fish abundance and diversity in no-take marine reserves and fished areas

Marine reserves are an important management tool for conserving local biodiversity and protecting fragile ecosystems such as seagrass that provide significant ecological functions and services to people and the marine environment.With humans placing ever-growing pressure on seagrass habitats,marine reserves also provide an important reference from which changes to seagrass and their ecological assemblages may be assessed.After eight years of protection of seagrass beds(Posidonia australis)in no-take marine reserves(Sanctuary Zones)within the Jervis Bay Marine Park(New South Wales,Australia;zoned in 2002),we aimed to assess what changes may have occurred and assess continuing change through time in fish assemblages within these seagrass meadows.Using baited remote underwater videos(BRUVs),we sampled seagrass fish assemblages at three locations in no-take zones and five locations in fished zones three times from 2010 to 2013.Overall,we observed a total of 2615 individuals from 40 fish species drawn from 24 families.We detected no differences in total fish abundance,diversity,or assemblage composition between management zones,although we observed a significant increase in Haletta semifasciata,a locally targeted fish species,in no-take marine reserves compared with fished areas.Fish assemblages in seagrass varied greatly amongst times and locations.Several species varied in relative abundance greatly over months and years,whilst others had consistently greater relative abundances at specific locations.We discuss the potential utility of marine reserves covering seagrass habitats and the value of baseline data from which future changes to seagrass fish populations may be measured.