Evaluation of the Effect of Chassis Dynamometer Load Setting on CO2 Emissions and Energy Demand of a Full Hybrid Vehicle

Among the solutions that make it possible to reduce CO2 emissions in the transport sector, particularly in urban traffic conditions, are hybrid vehicles. The share of driving performed in electric mode for hybrid vehicles is highly dependent on motion resistance. There are different methods for determining the motion resistance function during chassis dynamometer testing, leading to different test results. Therefore, the main objective of this study was to determine the effect of the chassis dynamometer load function on the energy demand and CO2 emissions of a full-hybrid passenger car. Emissions tests according to the New European Driving Cycle (NEDC) were carried out on a chassis dynamometer for three different methods of determining the car’s resistance to motion. The study showed that adopting the motion resistance function according to different methods, results in differences in CO2 emissions up to about 35% for the entire cycle. Therefore, the authors suggest that in the case of tests carried out with chassis dynamometers, it is necessary to also provide information on the chassis dynamometer loading function adopted for the tests.

Expanding the Locus of Resistance: Understanding the Co-constitution of Control and Resistance in the Gig Economy

Existing literature examines control and resistance in the context of service organizations that rely on both managers and customers to control workers during the execution of work. Digital platform companies, however, eschew managers in favor of algorithmically mediated customer control—that is, customers rate workers, and algorithms tally and track these ratings to control workers’ future platform-based opportunities. How has this shift in the distribution of control among platforms, customers, and workers affected the relationship between control and resistance? Drawing on workers’ experiences from a comparative ethnography of two of the largest platform companies, we find that platform use of algorithmically mediated customer control has expanded the service encounter such that organizational control and workers’ resistance extend well beyond the execution of work. We find that workers have the most latitude to deploy resistance early in the labor process but must adjust their resistance tactics because their ability to resist decreases in each subsequent stage of the labor process. Our paper, thus, develops understanding of resistance by examining the relationship between control and resistance before, during, and after a task, providing insight into how control and resistance function in the gig economy. We also demonstrate the limitations of platforms’ reliance on algorithmically mediated customer control by illuminating how workers’ everyday interactions with customers can influence and manipulate algorithms in ways that platforms cannot always observe.

Asymmetrical dose-response shape the evolutionary trade-off between antifungal resistance and nutrient use

Antimicrobial resistance is an emerging threat for public health. The success of resistance mutations depends on the trade-off between the benefits and costs they incur. This trade-off is largely unknown and uncharacterized for antifungals. Here, we systematically catalog the effect of all amino acid substitutions in the yeast cytosine deaminase FCY1, the target of the antifungal 5-FC. We identify over 900 missense mutations granting resistance to 5-FC, a large fraction of which appear to act through destabilisation of the protein. The relationship between 5-FC resistance and growth sustained by cytosine deamination is characterized by a sharp trade-off, such that small gains in resistance universally lead to large losses in canonical enzyme function. We show that this steep relationship can be explained by differences in the dose-response function of 5-FC and cytosine. Our results provide a powerful resource and platform for interpreting drug target variants in fungal pathogens as well as unprecedented insights into resistance-function trade-offs.

Effect of driving resistances on energy demand and exhaust emission in motor vehicles

Among the fundamental factors affecting the emissions of internal combustion engines is the resistance to motion acting on the car. This is an important factor to be taken into account when testing cars in conditions simulated on a chassis dynamometer. The dependence of the driving resistance function on vehicle speed is determined on the basis of various methods, the most frequently used of which is the so-called alternative method specified in procedures for the type approval of motor vehicles with respect to the emission of pollutants in exhaust gases. The values adopted in accordance with the alternative method differ from the actual resistance acting on the car in road conditions. This is one of the reasons why the emission of pollutants and the fuel consumption of an engine in real road conditions differs from the values given by the car manufacturer, including the emission limits specified in the standards. This paper presents an evaluation of the influence of driving resistance on the energy demand and emission of pollutants in the exhaust gases by sample passenger car with SI engine fuelled by petrol and LPG.

Transcriptome Analysis Reveals the Important Role of WRKY28 in Fusarium oxysporum Resistance

Root rot of Populus davidiana × P. alba var. pyramidalis Louche (Pdpap) is caused by Fusarium oxysporum. We used RNA sequencing to study the molecular mechanisms and response pattern of Pdpap infected by F. oxysporum CFCC86068. We cloned the PdpapWRKY28 transcription factor gene and transformed the recombinant vector pBI121-PdpapWRKY28 into Pdpap. The resistance function of PdpapWRKY28 was verified using physiological and biochemical methods. By means of RNA sequencing, we detected 1,403 differentially expressed genes (DEGs) that are common in the different treatments by F. oxysporum. Furthermore, we found that overexpression of the PdpapWRKY28 gene may significantly improve the resistance of Pdpap plants to F. oxysporum. Our research reveals a key role for PdpapWRKY28 in the resistance response of Pdpap to F. oxysporum. Additionally, our results provide a theoretical basis for in-depth research on resistance breeding to combat root rot.

RESISTANCE OF THICK-WALLED BARRIER IN PENETRATION OF A SOLID BODY

The authors discuss bursting of barriers by solid bodies. The resistance function changes along a single-arc sinusoid. The equation of motion of a solid body is solved. The velocity of the drift hammer to reach the back of the barrier is determined. The alternative initial velocities such that the solid body is jammed in the barrier or is shot outside the barrier are examined. Determination of the barrier resistance force versus the shoot-out velocity of the drift hammer is discussed.

Application of New Approaches to the Hydropower Combined Complex Creation for Autonomous Energy Supply

The report examined new scientific approaches to the creation of a combined cogeneration energy complex based on small or micro-hydropower. The most effective approaches to micro-hydropower facilities were considered to create a workable structural layout. A criterion has been developed that allows to evaluate the energy efficiency of hydroturbines at an early stage of design using the calculation method, including a predictive estimate of the hydraulic resistance function ξHT = f(Re) of a particular penstock geometry. The results of the theoretical task of creating a technologically advanced configuration of a blade system using Zhukovsky theory. By calculating and numerically (CFD) simulating the hydrodynamic lattices of flat profiles, the theoretical nomograms for determining the coefficients Cx and Cy are confirmed and supplemented. A series of comparative results of computational and experimental studies of the combined energy complex hydraulic part – microhydroturbines with experimental blade systems, including those modified by the principle of biomimetics (nature imitation technologies) is presented. Based on the calculated and experimental studies, the prospects of the chosen direction of development of small and microhydroenergy are shown, as well as the effectiveness of the approaches that were used in the design of the working bodies of microhydroturbines.

The crack quasi-static growth and analysis of interlaminar crack resistance of layered composite

Using the model of quasi-static crack growth and test result of the double cantilever beam (DCB) sample of layred carbon/epoxy composite, the general regularities of the interlaminar crack resistance of mode 1 were studied. The main attention was focused on the variability of crack resistance associated, on the one hand, with the continuity of the fracture process, and, on the other hand, with the non-homogeneity of the material structure, which causes local random deviations from the average characteristics of the material.The dissipation energy rate (total crack resistance) and crack resistance function (R-curve) were extracted from test results and their properties analyzed.

Homology modeling and functional characterization of multidrug effluxor Mta protein from Bacillus Atrophaeus: An explanatory insilico approach

Phenotypically similar to B. subtilis, Bacillus atrophaeus is a Gram-positive, aerobic, spore-forming bacteria. It is a black-pigmented bacterial genus. Therefore, it is of interest to study the uncharacterized proteins in the genome. For a detailed computational sequence-structure-function analysis using available data and resources, an uncharacterized protein Mta (AKL87074.1) in the genome was selected. In this study, attempts were made to study the physicochemical properties, predict secondary structure, modeling the 3-D protein, pocket identification, protein-protein interaction and phylogenetic analysis of Mta protein. The predicted active site using CASTp is analyzed for understanding their multidrug resistance function. Because Mta is a MerR family member, these investigations on these functional aspects could lead us for better understanding of antibiotic resistance phenomenon.

The Use of a Simulation Model for High-Runner Strategy Implementation in Warehouse Logistics

This paper examines the use of computer simulation methods to streamline the process of picking materials within warehouse logistics. The article describes the use of a genetic algorithm to optimize the storage of materials in shelving positions, in accordance with the method of High-Runner Strategy. The goal is to minimize the time needed for picking. The presented procedure enables the creation of a software tool in the form of an optimization model that can be used for the needs of the optimization of warehouse logistics processes within various types of production processes. There is a defined optimization problem in the form of a resistance function, which is of general validity. The optimization is represented using the example of 400 types of material items in 34 categories, stored in six rack rows. Using a simulation model, a comparison of a normal and an optimized state is realized, while a time saving of 48 min 36 s is achieved. The mentioned saving was achieved within one working day. However, the application of an approach based on the use of optimization using a genetic algorithm is not limited by the number of material items or the number of categories and shelves. The acquired knowledge demonstrates the application possibilities of the genetic algorithm method, even for the lowest levels of enterprise logistics, where the application of this approach is not yet a matter of course but, rather, a rarity.