The Green Logistics Idea using Vacuum Insulation Panels (VIPs)

This research aims to reduce fuel consumption in transportation systems using vacuum insulation panels (VIPs) for cold storage trucks. The material was vacuum Insulation Panels (VIPs) is a custom-made insulator using glass fibers pressed at 10 tons per square meter and the thermal conductivity conditions of the selected materials ranged between 0.0028 and 0.007 W/mK and has a size of 12 mm comparative experiment method of cold storage trucks equipped with VIPs and without VIPs of 4 model frozen cars. Which has Model 1 (4 Wheels Truck), Model 2 (4 Wheels large Truck), Model 3 (6 Wheels Truck), and Model 4 (10 Wheels Truck). The sensor installation in the cold room is distributed in every wall to achieve differentiation and distribution of cold temperatures. The results are calculated as the energy saving result, it was found Model 1 (4 Wheels Truck) have best fuel savings. This research can apply other types of cold storage trucks or research in the same way as the air wall by inserting VIPs insulation inside the external insulation to reduce heat transfer.

CLUE: Exact maximal reduction of kinetic models by constrained lumping of differential equations

Motivation Detailed mechanistic models of biological processes can pose significant challenges for analysis and parameter estimations due to the large number of equations used to track the dynamics of all distinct configurations in which each involved biochemical species can be found. Model reduction can help tame such complexity by providing a lower-dimensional model in which each macro-variable can be directly related to the original variables. Results We present CLUE, an algorithm for exact model reduction of systems of polynomial differential equations by constrained linear lumping. It computes the smallest dimensional reduction as a linear mapping of the state space such that the reduced model preserves the dynamics of user-specified linear combinations of the original variables. Even though CLUE works with nonlinear differential equations, it is based on linear algebra tools, which makes it applicable to high-dimensional models. Using case studies from the literature, we show how CLUE can substantially lower model dimensionality and help extract biologically intelligible insights from the reduction. Availability An implementation of the algorithm and relevant resources to replicate the experiments herein reported are freely available for download at https://github.com/pogudingleb/CLUE. Supplementary information Supplementary data are available at Bioinformatics online.

Assisting. Reconstructing a Cooperation Pattern on a Video Basis among Co-teachers in the Programme Jedem Kind ein Instrument

The programme “Jedem Kind ein Instrument”1 (JeKi) in Germany demands the cooperation between primary school and music school teachers, working in teams of two for one lesson each week during the first year of school to offer basic musical training and to present various musical instruments. The ideal that the teachers’ skills complement each other is guiding the programme but preliminary results from a study on JeKi showed that there is hardly any coordination prior to co-taught classes, mostly due to a lack of time. This leads to the relevant research question concerning how teachers collaborate for co-classes when the very requirements for successful collaboration, i.e., coordination and communication, are mostly missing, but co-teaching still takes place, albeit sporadically. In order to address this desideratum, this video study tries to reconstruct an interactional framing of assistance as the predominantly found model of cooperation between music teachers from different professional backgrounds.2

Capture method affects survival estimates and subsequent interpretation of ecological covariates for a long-lived cervid

Understanding what variables affect ungulate neonate survival is imperative to successful conservation and management of the species. Predation is commonly cited as a cause-specific source of mortality and ecological covariates often influence neonate survival. However, variation in survival estimates related to capture methodology has been documented with opportunistically captured neonates generally displaying greater survival than those captured via aid of vaginal implant transmitters (VITs), likely because of increased left truncation observed in the opportunistically captured datasets. Our goal was to assess if 3- and 6-month survival estimates varied by capture method while simultaneously assessing if capture method affected model selection and interpretation of ecological covariates for white-tailed deer neonates captured from three study sites in North Dakota and South Dakota, USA. We found survival varied by capture method for 3-month neonate survival with opportunistically captured neonates displaying up to 26% greater survival than their counterparts captured via VITs; however, this relationship was not present for 6-month survival. We also found model selection and subsequent interpretation of ecological covariates varied when analyzing datasets comprised of neonates captured via VITs, neonates captured opportunistically, and all neonates combined regardless of capture method. When interpreting results from our VIT only analysis for 3-month survival, we found survival varied by three time intervals and was lowest in the first two weeks of life. Capture method did not affect 6-month survival which was most influenced by total precipitation occurring during 3 – 8 weeks of a neonate’s life and percent canopy cover found at a neonate’s capture site. Our results support previous research that capture method must be accounted for when deriving survival estimates for ungulate neonates as it can impact derived estimates and subsequent interpretation of results.

Comparing Trends in Modeled and Observed Streamflows at Minimally Altered Basins in the United States

We compared modeled and observed streamflow trends from 1984 to 2016 using five statistical transfer models and one deterministic, distributed-parameter, process-based model, for 26 flow metrics at 502 basins in the United States that are minimally influenced by development. We also looked at a measure of overall model fit and average bias. A higher percentage of basins, for all models, had relatively low trend differences between modeled and observed mean/median flows than for very high or low flows such as the annual 1-day high and 7-day low flows. Mean-flow metrics also had the largest percentage of basins with relatively good overall model fit and low bias. The five statistical transfer models performed better at more basins than the process-based model. The overall model fit for all models, for mean and/or high flows, was correlated with one or more measures of basin precipitation or aridity. Our study and previous studies generally observed good model performance for high flows up to 90th or 95th percentile flows. However, we found model performance was substantially worse for more extreme flows, including 99th percentile and annual 1-day high flows, indicating the importance of including more extreme high flows in analyses of model performance.

Modelling Contaminant Formation during Thermal Processing of Sea Buckthorn Purée

Background: The impact of thermal treatment on acrylamide (ACR) and hydroxymethylfurfural (HMF) formation was investigated for thermally treated sea buckthorn purée. Methods: An optimized procedure for minimizing ACR and HMF formation in thermally treated sea buckthorn purée was described. The precursors of ACR and HMF and their impact in heating of sea buckthorn purée to obtain jam-like products were also evaluated. Results: The contaminant content formed in samples was analyzed on thirteen running variants using a temperature range of 59.3–200.7 °C, and for heating durations between 5.9 and 34.1 min. The calculated equations of contaminant formation in sea buckthorn purée have established that the minimum content is formed at the lowest exposure time, between 10 and 20 min, for both ACR and HMF. The lowest ACR content was attained at 5.9-min exposure time and 130 °C temperature (0.3 µg/kg). For HMF the results revealed a lower quantity at 59.3 °C for 20-min exposure time (1.4 mg/kg). Conclusions: the found model is useful for the prediction of the best temperature/time conditions of the thermal treatment to obtain the lowest contaminates levels in the final product.

Model Komunikasi Pemasaran untuk Pemberdayaan Perempuan Pada Sektor Informal di Yogyakarta

This research aims to find out model of communication marketing as means to increasing the power of women’s UKM in informal sector of Yogyakarta. Research methodology in qualitative descriptive is used with collect data, focus group discussion (FGD). These research methodogy are service, food, and farm. Result of this research found model of communication marketing which is used media social methodology in informal sector to increasing the power of women’s UKM of Yogyakarta. This research extend give recommendation for women’s UKM of Yogyakarta to optimize their effort through social media such as facebook, twitter, instagram, and website.

PROVIDE THE REQUIRED SURFACE ROUGHNESS PRODUCTS FROM METALLOPOLYMERS FILLED WITH ALUMINUM AT PROCESSING GRINDING

Currently, machine-building enterprises are increasingly using new composite materials for the production of parts, accessories and repair. One such material is a metallopolymeric composite structure with an aluminum filler. In general, it is an epoxy-dienoic filled with an aluminum matrix excipient. Owing to its flow properties in the uncured state, and hardness and heat resistance when cured, the material is increasingly used in the production. Previous studies have shown the use of metal-polymer material as the material forming the mold parts, as this significantly reduces the cost of equipment for molding plastics. Unlike steel machining modes metallopolymers insufficiently studied, because the material is new, and as yet only finds its field of application. However, in the manufacture of it forming tooling molds required to appoint such process steps and processing modes, which will provide the required dimensional accuracy and surface roughness detail. For a given parameter surface roughness of a metallopolymeric in the processing of grinding was found model of the surface roughness of the parameter rate table movement and the depth of cut.

Modelling Blood and Pulmonary Pressure for Solving a Performance Optimal Problem for Sportsmen

This paper aims at designing a three-compartmental mathematical model for determining the impact and response of blood pressures on cardiovascular and respiratory parameters. Three nonlinear ordinary differential equations are derived from three compartments. Stability conditions are established and inverse techniques are proposed for identifying model parameters. To test the efficiency of the found model, a validation is achieved based on an existing mathematical model through a comparative study.

MODEL SKEDUL MIGRASI DAN APLIKASINYA DALAM PROYEKSI PENDUDUK MULTIREGIONAL

Migration is one of demographic component beside fertility and mortality. The objective of thesis is to find model migration schedules and its application to multiregional population projection. Rogers et al. (1978) proposed one model migration schedules consist of 11 parameters. As the comparisson to that model this paper proposed another model used polinomial function. By divided Indonesia into two regions, Java-Bali and outer JavaBali, it would be found model migration schedules. The model be implemented to multiregional population projection based on SUPAS 2005 data. The result showed that the population growth continu to decreased and will reach -0,00066 in stable condition.