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Constitutional heterozygous mutations in CHEK2 gene have been associated with hereditary cancer risk. To date, only a few homozygous CHEK2 mutations have been reported in families with cancer susceptibility. Here, we report two unrelated individuals with a personal and familial cancer history in whom biallelic CHEK2 alterations were identified. The first case resulted homozygous for the CHEK2 c.793-1 G A (p.Asp265Thrfs*10) variant, and the second one was found to be compound heterozygous for the c.1100delC (p.Thr367Metfs*15) and the c.1312 G T (p.Asp438Tyr) variants. Multiple cytogenetic anomalies were demonstrated on peripheral lymphocytes of both patients. A literature revision showed that a single other CHEK2 homozygous variant was previously associated to a constitutional randomly occurring multi-translocation karyotype from peripheral blood in humans. We hypothesize that, at least some biallelic CHEK2 mutations might be associated with a novel disorder, further expanding the group of chromosome instability syndromes. Additional studies on larger cohorts are needed to confirm if chromosomal instability could represent a marker for CHEK2 constitutionally mutated recessive genotypes, and to investigate the cancer risk and the occurrence of other anomalies typically observed in chromosome instability syndromes.

Socially Assistive Robots used for elderly care are required to determine the location of a person and to approach him/her in order to provide assistance. Human tracking systems are applied to detect and track people that are already in the proximity of the robot, while its limited field of view makes the user easily lost. Moreover, navigation algorithms typically need the availability of reliable sensors on the robot and the possibility of marking possible user locations. On the contrary, in this work, we investigate the opportunity to use a reactive control mechanism for detecting and approaching people. Our approach is tested on two commercial mobile robots that present a different sensors configuration and by using off-the-shelf algorithms for people localization and tracking. Results show the feasibility of the approach with respect to the considered domain that does not require precise positioning, but hopes for a real application of such low-cost robot into the wild. Features of the considered robots and their impact on performance are also discussed.

Social Assistive Robots are mainly designed for tasks requiring the interaction with the user. However, they could also be involved in other non-interactive tasks which execution may potentially distract the user from his/her current activity. In this direction, we aim at evaluating the disengagement levels caused by a robot's movements in the human's surroundings. In particular, we consider a robotic system approaching an elder person to monitor his/her behavior, while he/she is occupied in carrying out a specific daily activity. We conducted a classic video analysis of human behaviors in order to identify relevant non-verbal disengagement signals such as the human gaze and pose variation when he/she is approached by the robot. Results obtained from ambient cameras are compared with the ones from the robot camera showing a moderate correlation between them. Additionally, the role of other contextual factors, such as the activity posture, approaching distance, and cognitive load are discussed in the direction of an automatic evaluation of the user's distraction to be used by the robot to plan its motion.