Towards a business and production engineering concept for individual beer brewing applying digitalization methodologies

Individualization is a common trend in many fields of production across the industries. Also in the food sector, significant changes can be observed. For many products, individual offerings towards the customer are meanwhile either mandatory or at least help to increase the sales and revenue. Somehow, individual product design and production contradicts scaling effects, which are especially important for food production. On the other hand, as digitalization is implemented in a fairly limited way in the food sector, currently great chances can be observed to build a unique selling proposition and consequently gain market share by implementing appropriate measures to enable a digital food factory. This is where the proposed idea comes into the game. The starting point is the idea to produce individually developed beer and ship it to the individual customer. The beer can be designed on a web page based on typical parameters, like beer type, bitterness, colour, or alcohol concentration. In an expert mode, individual beer creations may be thoughtful, allowing the creation of completely individual recipes (for sure, not guaranteeing the customer a perfect drinking experience). In any way, the data from the web page is directly fed to the brewing equipment in the brewing facility. There, using newly to be developed specialized machines, the individually ordered beer will be produced automatically. In this paper we discuss the individual challenges at each point in the production cycles and propose solutions to those

FOOD WASTE IN MANHATTAN, KANSAS ELEMENTARY SCHOOL LUNCH

Master of Public HealthSecurity Studies Interdepartmental ProgramDavid A. DzewaltowskiIn the United States (US) 133 billion pounds of food was wasted at the consumer and retail level in 2010, resulting in a total loss of 161.6 billion dollars (Buzby, Wells, & Hyman, 2014). This translates into 387 billion calories per day being wasted, of which 96% ends up in landfills (Buzby et al., 2014). Moreover, decomposing food waste in landfills emits methane, a potent greenhouse gas, that accounts for 20% of all methane emissions (EPA, 2014). Food waste can come from a variety of sources, including at the farm level (e.g., food lost to a unfavorable environment conditions), the farm to retail level (e.g., foods that do not meet food safety regulations; are misshapen or blemished), the retail level (e.g., dented cans; damaged packaging), and the consumer level (e.g., plate waste; food that spoils before consumption) (Buzby et al., 2014). In 2013 the United States Department of Agriculture (USDA) and Environmental Protection Agency (EPA) launched the U.S Food Waste Challenge in an attempt to reduce, recover, and recycle food waste in the United States (USDA OCE, n.d.). One of the major commitments of the project was to minimize waste in school meal programs, where studies have shown plate waste to be 29-43% of food taken (Cohen, Richardson, Parker, Catalano, & Rimm, 2014)

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The social contexts of youth settings for influencing physical activity

Doctor of PhilosophyDepartment of KinesiologyDavid DzewaltowskiEmily MaileyDespite health benefits of physical activity (PA) in youth, worldwide estimates indicate that only 10% of children meet recommended PA guidelines of 60 minutes of moderate-to-vigorous physical activity (MVPA) per day.¹,² The places where children go to live, learn, and play influence the amount of PA children accrue,³,⁴ therefore, purpose of this dissertation was to examine social contexts of youth settings and describe contextual influences on youth PA. Chapters one and two address the methods of direct observation (DO) used to characterize contextual influences on youth PA. Chapter 1 serves as a review of the methods of current DO systems, and Chapter 2 describes the implications of using different methods to characterize contexts and PA in youth settings. Using youth sport (YS) as an example, we examined the distinct types of data that resulted from two DO systems, and discussed implications for describing influences of children’s PA. Little is known about the distribution of PA among children within setting time, such as whether social contexts promote inequalities in PA where some children are very active and others are inactive. Therefore, the purpose of the study in Chapter 3 was to describe the distribution of PA during time segmented YS practices and identify whether inequalities in PA exist. We hypothesized that inequality would vary between time segments of different contexts, specifically, that segments that fostered inclusion (i.e., optimal demand) would have lower inequality than segments that fostered exclusion (i.e., disadvantaged demand). We found that inequality in PA was varied between segment types and that social contexts of task (i.e., purpose of the segment time) and demand influenced inequality in PA. To create improvements in child population PA, we propose researchers and practitioners should focus not only on the mean PA of setting time, but also on the distribution of PA within setting time. Chapter 4 focuses on the social structure of relationships within a school district that may influence implementation of wellness policies within school systems. The study described a method and investigated the social structure between school district wellness committees and their associated elementary schools. Results of the study showed variability in the pattern of social structure between and within school districts, with some districts having a social structure with representation of schools on the district wellness committee, and other districts with no representation. As social structure characteristics influence the implementation of policies and practices within social systems, these characteristics should be investigated by researchers, and should be used to enhance implementation, rather than be disregarded. In conclusion, this dissertation provided recommendations for describing the social contexts of youth settings, provided preliminary evidence that social contexts influence the amount and distribution of PA within youth settings, and that social contexts are highly variable within and between settings. Further research is needed to find the combination of social contexts most conducive to youth PA, and future researchers should consider social contexts when designing and implementing interventions for improving youth PA within settings

On Spatial Consensus Formation: Is the Sznajd Model Different from a Voter Model?

In this paper, we investigate the so-called ``Sznajd Model'' (SM) in one dimension, which is a simple cellular automata approach to consensus formation among two opposite opinions (described by spin up or down). To elucidate the SM dynamics, we first provide results of computer simulations for the spatio-temporal evolution of the opinion distribution $L(t)$, the evolution of magnetization $m(t)$, the distribution of decision times $P(\tau)$ and relaxation times $P(\mu)$. In the main part of the paper, it is shown that the SM can be completely reformulated in terms of a linear VM, where the transition rates towards a given opinion are directly proportional to frequency of the respective opinion of the second-nearest neighbors (no matter what the nearest neighbors are). So, the SM dynamics can be reduced to one rule, ``Just follow your second-nearest neighbor''. The equivalence is demonstrated by extensive computer simulations that show the same behavior between SM and VM in terms of $L(t)$, $m(t)$, $P(\tau)$, $P(\mu)$, and the final attractor statistics. The reformulation of the SM in terms of a VM involves a new parameter $\sigma$, to bias between anti- and ferromagnetic decisions in the case of frustration. We show that $\sigma$ plays a crucial role in explaining the phase transition observed in SM. We further explore the role of synchronous versus asynchronous update rules on the intermediate dynamics and the final attractors. Compared to the original SM, we find three additional attractors, two of them related to an asymmetric coexistence between the opposite opinions.Comment: 22 pages, 20 figures. For related publications see http://www.ais.fraunhofer.de/~fran

Physical activity patterns across time-segmented youth sport flag football practice.

BACKGROUND: Youth sport (YS) reaches a large number of children world-wide and contributes substantially to children's daily physical activity (PA), yet less than half of YS time has been shown to be spent in moderate-to-vigorous physical activity (MVPA). Physical activity during practice is likely to vary depending on practice structure that changes across YS time, therefore the purpose of this study was 1) to describe the type and frequency of segments of time, defined by contextual characteristics of practice structure, during YS practices and 2) determine the influence of these segments on PA. METHODS: Research assistants video-recorded the full duration of 28 practices from 14 boys' flag football teams (2 practices/team) while children concurrently (N = 111, aged 5-11 years, mean 7.9 ± 1.2 years) wore ActiGraph GT1M accelerometers to measure PA. Observers divided videos of each practice into continuous context time segments (N = 204; mean-segments-per-practice = 7.3, SD = 2.5) using start/stop points defined by change in context characteristics, and assigned a value for task (e.g., management, gameplay, etc.), member arrangement (e.g., small group, whole group, etc.), and setting demand (i.e., fosters participation, fosters exclusion). Segments were then paired with accelerometer data. Data were analyzed using a multilevel model with segment as unit of analysis. RESULTS: Whole practices averaged 34 ± 2.4% of time spent in MVPA. Free-play (51.5 ± 5.5%), gameplay (53.6 ± 3.7%), and warm-up (53.9 ± 3.6%) segments had greater percentage of time (%time) in MVPA compared to fitness (36.8 ± 4.4%) segments (p ≤ .01). Greater %time was spent in MVPA during free-play segments compared to scrimmage (30.2 ± 4.6%), strategy (30.6 ± 3.2%), and sport-skill (31.6 ± 3.1%) segments (p ≤ .01), and in segments that fostered participation (36.1 ± 2.7%) than segments that fostered exclusion (29.1 ± 3.0%; p ≤ .01). Significantly greater %time was spent in low-energy stationary behavior in fitness (15.7 ± 3.4%) than gameplay (4.0 ± 2.9%) segments (p ≤ .01), and in sport-skill (17.6 ± 2.2%) than free-play (8.2 ± 4.2%), gameplay, and warm-up (10.6 ± 2.6%) segments (p < .05). CONCLUSIONS: The %time spent in low-energy stationary behavior and in MVPA differed by characteristics of task and setting demand of the segment. Restructuring the routine of YS practice to include segments conducive to MVPA could increase %time spent in MVPA during practice. As YS reaches a large number of children worldwide, increasing PA during YS has the potential to create a public health impact

The Tameness of Quantum Field Theory, Part I -- Amplitudes

We propose a generalized finiteness principle for physical theories, in terms of the concept of tameness in mathematical logic. A tame function or space can only have a finite amount of structure, in a precise sense which we explain. Tameness generalizes the notion of an analytic function to include certain non-analytic limits, and we show that this includes many limits which are known to arise in physics. For renormalizable quantum field theories, we give a general proof that amplitudes at each order in the loop expansion are tame functions of the external momenta and the couplings. We then consider a variety of exact non-perturbative results and show that they are tame but only given constraints on the UV definition of the theory. This provides further evidence for the recent conjecture of the second author that all effective theories that can be coupled to quantum gravity are tame. We also discuss whether renormalization group flow is tame, and comment on the applicability of our results to effective theories

On the Use of Network Flow Techniques for Assigning Evacuees to Exits

We apply network flow techniques to find good exit selections for evacuees in an emergency evacuation. More precisely, we present two algorithms for computing exit distributions using both classical flows and flows over time which are well known from combinatorial optimization. The performance of these new proposals is compared to a simple shortest path approach and to a best response dynamics approach by using a cellular automaton model

Modulating endothelial adhesion and migration impacts stem cell therapies efficacy

Background: Limited knowledge of stem cell therapies‘ mechanisms of action hampers their sustainable implementation into the clinic. Specifically, the interactions of transplanted stem cells with the host vasculature and its implications for their therapeutic efficacy are not elucidated. We tested whether adhesion receptors and chemokine receptors on stem cells can be functionally modulated, and consequently if such modulation may substantially affect therapeutically relevant stem cell interactions with the host endothelium. Methods: We investigated the effects of cationic molecule polyethylenimine (PEI) treatment with or without nanoparticles on the functions of adhesion receptors and chemokine receptors of human bone marrow-derived Mesenchymal Stem Cells (MSC). Analyses included MSC functions in vitro, as well as homing and therapeutic efficacy in rodent models of central nervous system´s pathologies in vivo. Findings: PEI treatment did not affect viability, immunomodulation or differentiation potential of MSC, but increased the CCR4 expression and functionally blocked their adhesion receptors, thus decreasing their adhesion capacity in vitro. Intravenously applied in a rat model of brain injury, the homing rate of PEI-MSC in the brain was highly increased with decreased numbers of adherent PEI-MSC in the lung vasculature. Moreover, in comparison to untreated MSC, PEI-MSC featured increased tumour directed migration in a mouse glioblastoma model, and superior therapeutic efficacy in a murine model of stroke. Interpretation: Balanced stem cell adhesion and migration in different parts of the vasculature and tissues together with the local microenvironment impacts their therapeutic efficacy. Funding: Robert Bosch Stiftung, IZEPHA grant, EU grant 7 FP Healt