Facebook, Inc.

Glykos Finland Oy

Suomen Punainen Risti Veripalvelu

Dupont Nutrition Biosciences Aps

Jukka Partanen

Aapo Kyrölä

Juho Pennanen

Jari Natunen

Tero Satomaa

Juhani Saarinen

Heidi Anderson

Jarmo Laine

Maria Blomqvist

Taina Jaatinen

Ulla Impola

Milla Mikkola

Harri Mäkivuokko

Jaana Mättö

Minna Tiittanen

Jarkko RÄBINÄ

Pirjo Wacklin

In one embodiment, sensor signals corresponding to motions of a client device are received. Activities of a user corresponding to the client device are determined, based on a first analysis algorithm that uses the sensor signals to select activity types, each activity type corresponding to a particular time period. A reference to the selected activity types is sent to the client device. User input indicating whether the reference is correct is received from the client device. Based on the indication, which reflects the accuracy of the first analysis algorithm, a priority between the first analysis algorithm and a second analysis algorithm is determined, based on determining which analysis algorithm is more accurate.

User activity tracking system

In one embodiment, sensor signals corresponding to motions of a computing device are determined. Activities of a user corresponding to the computing device are determined by selecting activity types which are based on the sensor signals, a set of user characteristics associated with the user, a classification of the set of user characteristics, and signal parameters. A reference to the selected activity types is displayed to the user. User input indicating whether the reference is correct is received. Based on the user input, the signal parameters may be adjusted.

In one embodiment, sensor signals corresponding to motions of a client computing device are received. The sensor signals are associated with activity periods, each activity period also being associated with a geographic location of the client computing device. For each activity period, one or more activity types are determined for the client computing device based on the sensor signals for the activity period and one or more signal parameters. A reference of the activity type and activity period is sent to the client computing device, and an indication is received regarding whether that reference is correct. The signal parameters may be adjusted based on the received indication.

The invention relates to a method for culturing human embryonic stem cells (hESCs) and/or induced pluripotent stem (iPS) cells on a lectin. The invention relates also to the use of a lectin in a method for culturing human embryonic stem cells (hESCs) and/or induced pluripotent stem (iPS) celts and a culture medium composition containing a lectin attached on the culturing plates.

Culture of cells

The present invention relates to a method of profiling a cell population comprising a step of detecting the presence or absence of at least two biological markers in said cell population, wherein at least one of said markers is a cell surface marker, which is a sialylated N-glycan marker with structure NeuNAc&#x3b1;3Gal, and at least one of said markers is a mRNA marker related to glycoproteins and/or glycosynthase proteins. The invention also relates to method for purification of cord blood cell population and to a complete cell population from cord blood purified by said method.

Method of profiling a cell population

Growing community of inventors

Helsinki, Finland

Jukka Partanen