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The two sides of a Saint Benedict Medal. The Saint Benedict Medal is a Christian sacramental medal containing symbols and text related to the life of Saint Benedict of Nursia, used by Roman Catholics, Old Catholics, Lutherans, Western Orthodox, Anglicans and Methodists, in the Benedictine Christian tradition, especially votarists and oblates.
The verse Vade retro satana is similar to a phrase that appears in several places in the New Testament.Firstly, in the Gospel of Mark, 8:33, spoken by Jesus to Peter is the admonition: "Vade retro me satana", ('Get behind me, Satan!')
The other side of the medal has a cross with the initials CSSML on the vertical bar which signify "Crux Sacra Sit Mihi Lux" ("May the Holy Cross be my light") and on the horizontal bar are the initials NDSMD which stand for "Non-Draco Sit Mihi Dux" ("Let not the dragon be my guide").
Participants are organised under a leader whose task it is to manage the camp and its activities. Sub-leaders take responsibility for various aspects, such as: young children's activities, Primary School age activities, teenage activities, tents, cooking, cleaning, materials (printed and otherwise), music, and so on.
It is the mean divided by the standard deviation of a difference between two random values each from one of two groups. It was initially proposed for quality control [ 1 ] and hit selection [ 2 ] in high-throughput screening (HTS) and has become a statistical parameter measuring effect sizes for the comparison of any two groups with random values.
NDSM is a neighborhood in Amsterdam, Netherlands located on the former terrain of the Nederlandsche Dok en Scheepsbouw Maatschappij (NDSM) shipbuilding company. It is located in the Amsterdam-Noord borough along the IJ river and can be reached by ferry from Amsterdam Centraal station.
The mean signed difference is derived from a set of n pairs, (^,), where ^ is an estimate of the parameter in a case where it is known that =. In many applications, all the quantities θ i {\displaystyle \theta _{i}} will share a common value.
Unlike "local mean" filters, which take the mean value of a group of pixels surrounding a target pixel to smooth the image, non-local means filtering takes a mean of all pixels in the image, weighted by how similar these pixels are to the target pixel. This results in much greater post-filtering clarity, and less loss of detail in the image ...