Using Simulation to Assess the Opportunities of Dynamic Waste Collection

In this paper, we illustrate the use of discrete event simulation to evaluate how dynamic planning methodologies can be best applied for the collection of waste from underground containers. We present a case study that took place at the waste collection company Twente Milieu, located in The Netherlands. Even though the underground containers are already equipped with motion sensors, the planning of container emptying’s is still based on static cyclic schedules. It is expected that the use of a dynamic planning methodology, that employs sensor information, will result in a more efficient collection process with respect to customer satisfaction, profits, and CO2 emissions. In this research we use simulation to (i) evaluate the current planning methodology, (ii) evaluate various dynamic planning possibilities, (iii) quantify the benefits of switching to a dynamic collection process, and (iv) quantify the benefits of investing in fill‐level sensors. After simulating all scenarios, we conclude that major improvements can be achieved, both with respect to logistical costs as well as customer satisfaction

Associations of autozygosity with a broad range of human phenotypes

In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (F-ROH) for >1.4 million individuals, we show that F-ROH is significantly associated (p <0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: F-ROH equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44-66%] in the odds of having children. Finally, the effects of F-ROH are confirmed within full-sibling pairs, where the variation in F-ROH is independent of all environmental confounding.Peer reviewe

Mästerligt om hantverk: Recension av Hantverk i Sverige. Om bagare, kopparslagare, vagnmakare och 286 andra hantverksyrken, LT, 1989

MEIS2 is a homeodomain-containing transcription factor of the TALE superfamily that has been proven important for development. We confirm and extend a recent single clinical report stating that deletions in MEIS2 can cause cleft palate [Crowley et al. (2010); Am J Med Genet 152A:1326-1327]. Here we report on five additional patients with 15q14 deletions of sizes 0.6, 0.6, 1.0, 1.9, and 4.8 Mb, respectively, all involving MEIS2. In addition, we present a family with four affected individuals and an intragenic 58 kb direct duplication disrupting MEIS2. In total, 7/9 cases had clefting, from mild (submucous cleft palate) to severe (cleft lip and palate), and 3/9 cases had ventricular septal defects. All cases had delayed motor development and most had learning disability, at worst in the mild intellectual disability range. The cases had overlapping facial features (broad forehead, finely arched eyebrows, mildly shortened philtrum, and tented upper lip) but individually they were not considered to be dysmorphic. Our results show that MEIS2 is a gene needed for palate closure. In syndromic cases of cleft palate, MEIS2 should be considered among the candidate genes, for example, in cases without 22q11.2 deletions. (c) 2014 Wiley Periodicals, Inc

Biometric Gait Recognition

Abstract. Psychological studies indicate that people have a small but statistically significant ability to recognize the gaits of individuals that they know. Recently, there has been much interest in machine vision systems that can duplicate and improve upon this human ability for application to biometric identification. While gait has several attractive properties as a biometric (it is unobtrusive and can be done with simple instrumentation), there are several confounding factors such as variations due to footwear, terrain, fatigue, injury, and passage of time. This paper gives an overview of the factors that affect both human and machine recognition of gaits, data used in gait and motion analysis, evaluation methods, existing gait and quasi gait recognition systems, and uses of gait analysis beyond biometric identification. We compare the reported recognition rates as a function of sample size for several published gait recognition systems.