On the degree of parallelism in membrane systems

The article focuses on the problem of creating systems for monitoring the functioning of the network infra-structure of distributed computer systems. This publication represents a model of multi-agent functioning for monitoring anomalies of distributed computer systems functioning components, which details the process of monitoring anomalies in the functioning of distributed computer systems and allows to integrate the monitoring system with other components of the cyber security systems. The model of a monitoring system designed to solve the problems of collecting and storing parameters received from sensors is characterized not only by their target functions, but also by functional capabilities that ensure the implementation of target functions, hierarchy and degree of parallelism in solving problems, uniformity or heterogeneity of the modular structure, organization of information col-lection in real-time data processing and network exchange of information with subscribers.

Local time membrane systems and time Petri nets

A dedicated hardware architecture for the digital baseband processing of minimum mean square error interference alignment is presented. The computationally intensive task of calculating the precoding and decoding matrices has been implemented and the underlying algorithm has been optimized for real-time capability, efficiency and flexibility. The required number of iterations has been optimized and appropriate low-latency algorithms for the computation of basic operations have been identified to meet a real-time constraint of 1ms processing latency. The architecture has been verified and synthesized for a Xilinx Virtex-6 LX550T FPGA. The maximum number of antennas, users and data streams is configurable at synthesis time. The actual parameters are configurable at runtime. Different degrees of parallelism allow a trade-off between resource requirements, latency and throughput. The target FPGA resources are sufficient for real-time system configurations up to 5 users with 3 antennas.

Rule-based and object-based event structures for membrane systems

Investigating the efficiency of thermosonication for controlling biofouling in batch membrane systems

Membrane-associated proteins are important because they mediate interactions between a cell's external and internal environment and they are often targets of therapeutics. Characterizing their structures and binding interactions, however, is challenging because they typically must be solubilized using artificial membrane systems that can make measurements difficult. Mass spectrometry (MS) is emerging as a valuable tool for studying membrane-associated proteins, and covalent labeling MS has unique potential to provide higher order structure and binding information for these proteins in complicated membrane systems. Here, we demonstrate that diethylpyrocarbonate (DEPC) can be effectively used as a labeling reagent to characterize the binding interactions between a membrane-associated protein and its binding partners in an artificial membrane system. Using chemotaxis histidine kinase (CheA) as a model system, we demonstrate that DEPC-based covalent labeling MS can provide structural and binding information about the ternary complex of CheA with two other proteins that is consistent with structural models of this membrane-associated chemoreceptor system. Despite the moderate hydrophobicity of DEPC, we find that its reactivity with proteins is not substantially influenced by the presence of the artificial membranes. However, correct structural information for this multiprotein chemoreceptor system requires measurements of DEPC labeling at multiple reagent concentrations to enable an accurate comparison between CheA and its ternary complex in the chemoreceptor system. In addition to providing structural information that is consistent with the model of this complex system, the labeling data supplements structural information that is not sufficiently refined in the chemoreceptor model.

DPPC-cholesterol phase diagram using coarse-grained Molecular Dynamics simulations

Withania coagulans (Stocks) Dunal (Solanaceae), popularly called vegetable rennet, is a critically endangered and highly valued medicinal plant. Overexploitation and reproductive failure forced the plant species toward the verge of complete extinction. We describe here the development of a simple, rapid, and cost effective in vitro micropropagation system for W. coagulans for mass-scale production of true-to-type plantlets using nodal shoot segments. Exactly 95.5 ± 0.34% explants responded within 8–10 days (d) and produced multiple shoot buds (4.1 ± 0.10 shoots of 2.95 ± 0.15 cm length) on 0.8% agar-gelled Murashige and Skoog's (MS) basal medium supplemented with 8.88 μM 6-benzylaminopurine (BAP), 0.57 μM indole-3-acetic acid (IAA), and additives (100 mg L−1 L-ascorbic acid, 25 mg L−1 each citric acid, adenine sulphate, and L-arginine). The shoots in cultures were multiplied by repeated transfer on MS medium with 4.44 μM BAP, 0.57 μM IAA, and additives. Further cultures were multiplied on a large-scale through the subculturing of shoot clumps differentiated in vitro, on MS medium supplemented with 1.11 μM BAP, 0.57 μM IAA, and additives. Maximum number (19.1 ± 0.28) of healthy (6.15 ± 0.25 cm) and viable shoots differentiated on this medium. The microshoots were rooted both in vitro and ex vitro. Exactly 67.3 ± 1.01% microshoots rooted in vitro within 25–30 d on agar-gelled half-strength MS salts supplemented with 29.52 μM indole-3-butyric acid (IBA) and 200 mg L−1 of activated charcoal (AC). Alternatively, 73.8 ± 0.65% cloned shoots rooted on sterile soilrite (soilless compost and soil conditioner) under ex vitro conditions after pulse treatment with 2.46 mM IBA for 300 s. The clones of W. coagulans were hardened in a greenhouse within 40–45 d by slow and gradual exposure of plantlets from high relative humidity (RH; 70–80%) and low (26 ± 2°C) temperature to low RH (40–50%) and high (34 ± 2°C) temperature. The hardened plantlets were transferred to soil and stored in agro-net house with more than 90% survival rate. Replacement of pure and laboratory grade sucrose with commercial grade sugar, use of less expensive commercial grade agar-agar in culture medium, higher rate of shoot proliferation, single step ex vitro rooting, and hardening of plantlets in the greenhouse are advantageous features of the protocol. The micropropagation protocol defined here is reproducible, easy to follow, and would be helpful in large-scale restoration programs through true-to-type mass-multiplication of W. coagulans.

Modulo scheduling is an effective instruction scheduling technique for exploiting ILP in modern microprocessors with wide machine resources. As with any instruction scheduling technique, its effectiveness is constrained by both the source program dependencies as deduced by the compiler and the resources available in the target machine. Data speculation is a technique for eliminating memory dependencies in the instruction dependence graph with demonstrated benefits in acyclic scheduling. Therefore, by applying data speculation in modulo scheduled loops we are able to achieve higher degrees of instruction level parallelism. This paper addresses a number of key issues in applying data speculation to modulo scheduling: effectively identifying the additional instructions required to recover from mis-speculation, ensuring full recoverability of instructions speculated across multiple stages and possibly executed speculatively multiple times on-the-fly, and coloring rotating registers for speculated instructions and instructions in recovery blocks. We implemented the framework proposed in this paper and demonstrated its effectiveness through experimental results.

Rules to leave by: patch departure in foraging blue jays

Testing of proton exchange membrane fuel cell system is one of the most important issues due to the cost and security reasons in railway applications. To reduce the cost, it would be necessary to have a representative simulation model for this case. Having an accurate model of proton exchange membrane fuel cell system requires considering several auxiliary circuits. However, in industrial application, the accurate model of proton exchange membrane fuel cell system and corresponding information are not often provided by the designer. Moreover, the simplicity and representativity of model is required to be compatible with overall traction chain model. The model has to be suitable for system simulation and not design purpose. In this paper, a simplified model of PEMFC system is proposed using the experimental profile mission. The impact of all the environment system of proton exchange membrane fuel cell stack is estimated using the average of polarization curve on several operational points. The parameter identification process is applied, and the obtained parameters are then inserted on the overall system of fuel cell stack. The experimental data obtained through train is compared with the consecutive simulation results.

The physiology and biochemistry of the proteolytic system in lactic acid bacteria

It is well known that the casting and rolling processes of strip casting are integrated into a single production step for the manufacture of thin steel strips directly from molten metal. The quality of the strip casting process depends on many process parameters, such as the level of molten steel in the pool, solidification position, and roll gap. Their dynamic relationships are complex and the strip casting process has non-linear uncertainty and time-varying characteristics, so it is difficult to establish an accurate process model for designing a model-based controller to monitor strip quality. Here, a model-free adaptive fuzzy sliding-mode controller, which combines an adaptive rule with fuzzy and sliding-mode control, is proposed to monitor the level of molten metal. The proposed control strategy has online learning ability for responding to the system's non-linear and time-varying behaviours during control of the molten steel level. Since this model-free controller has a simple control structure and a small number of control parameters, it is easy to implement. Simulation results based on the dynamic model and parameters of a semi-experimental system are executed to show the control performance of the proposed intelligent controller.

This paper presents a very simple consensus protocol that converges in a single communication step in favorable circumstances. Those situations occur when enough processes propose the same value. (Enough means at least (n-f) where f is the maximum number of processes that can crash in a set of n processes.) The protocol requires f < n/3. It is shown that this requirement is necessary. Moreover, if all the processes that propose a value do propose the same value, the protocol always terminates in one communication step. It is also shown that additional assumptions can help weaken the f < n/3 requirement to f < n/2.

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models