Non-cellulosic cell wall polysaccharides are subject to genotype × environment effects in sorghum (Sorghum bicolor) grain

Sorghum is a staple food for half a billion people and, through growth on marginal land with minimal inputs, is an important source of feed, forage and increasingly, biofuel feedstock. Here we present information about non-cellulosic cell wall polysaccharides in a diverse set of cultivated and wild Sorghum bicolor grains. Sorghum grain contains predominantly starch (64–76) but is relatively deficient in other polysaccharides present in wheat, oats and barley. Despite overall low quantities, sorghum germplasm exhibited a remarkable range in polysaccharide amount and structure. Total (1,3;1,4)-β-glucan ranged from 0.06 to 0.43 (w/w) whilst internal cellotriose:cellotetraose ratios ranged from 1.8 to 2.9:1. Arabinoxylan amounts fell between 1.5 and 3.6 (w/w) and the arabinose:xylose ratio, denoting arabinoxylan structure, ranged from 0.95 to 1.35. The distribution of these and other cell wall polysaccharides varied across grain tissues as assessed by electron microscopy. When ten genotypes were tested across five environmental sites, genotype (G) was the dominant source of variation for both (1,3;1,4)-β-glucan and arabinoxylan content (69–74), with environment (E) responsible for 5–14. There was a small G × E effect for both polysaccharides. This study defines the amount and spatial distribution of polysaccharides and reveals a significant genetic influence on cell wall composition in sorghum grain.

Analytical method for solving a set of inhomogeneous infinite simultaneous equations

It is shown that a method based on the principle of analytic continuation can be used to solve a set of inhomogeneous infinite simultaneous equations encountered in the analysis of surface acoustic wave propagation along the periodically perturbed surface of a piezoelectric medium.

Ministers as strategic political leaders? : Strategic political steering after NPM reforms in Finland

This study explores strategic political steering after the New Public Management (NPM) reforms, with emphasis on the new role assigned to Government ministers in Finland. In the NPM model, politicians concentrate on broad, principal issues, while agencies have discretion within the limits set by politicians. In Finland, strategic steering was introduced with Management by Results (MBR), but the actual tools for strategic political steering have been the Government Programme, the Government Strategy Portfolio (GSP) and Frame Budgeting. This study addresses these tools as means of strategic steering conducted by the Cabinet and individual ministers within their respective ministries. The time frame of the study includes the two Lipponen Cabinets between 1995 and 2003. Interviews with fourteen ministers as well as with fourteen top officials were conducted. In addition, administrative reform documents and documents related to strategic steering tools were analysed. The empirical conclusions of the study can be summarised as follows: There were few signs of strategic political steering in the Lipponen Cabinets. Although the Government Programmes of both Cabinets introduced strategic thinking, the strategic guidelines set forth at the beginning of the Programme were not linked to the GSP or to Frame Budgeting. The GSP could be characterised as the collected strategic agendas of each ministry, while there was neither the will nor the courage among Cabinet members to prioritise the projects and to make selections. The Cabinet used Frame Budgeting mainly in the sense of spending limits, not in making strategic allocation decisions. As for the GSP at the departmental level, projects were suggested by top officials, and ministers only approved the suggested list. Frame Budgeting at the departmental level proved to be the most interesting strategic steering tool from ministers viewpoint: they actively participated in defining which issues would need extra financing. Because the chances for extra financing were minimal, ministers had an effect only on a marginal share of the budget. At the departmental level, the study shows that strategic plans were considered the domain of officials. As for strategies concerning specific substances, there was variation in the interest shown by the ministers. A few ministers emphasised the importance of strategic work and led strategy processes. In most cases, however, officials led the process while ministers offered comments on the drafts of strategy documents. The results of this study together with experiences reported in other countries and local politics show that political decision-makers have difficulty operating at the strategic level. The conclusion is that politicians do not have sufficient incentive to perform the strategic role implied by the NPM type of reforms. Overall, the empirical results of the study indicate the power of politics over management reforms.

Analytical method for solving a set of infinite simultaneous equations

It is shown that a method based on the principle of analytic continuation can be used to solve a set of infinite simultaneous equations encountered in solving for the electric field of a periodic electrode structure.

State Minimization of Incompletely Specified Sequential Machines

A simple procedure for the state minimization of an incompletely specified sequential machine whose number of internal states is not very large is presented. It introduces the concept of a compatibility graph from which the set of maximal compatibles of the machine can be very conveniently derived. Primary and secondary implication trees associated with each maximal compatible are then constructed. The minimal state machine covering the incompletely specified machine is then obtained from these implication trees.

A Note on Minimal Reed-Muller Canonical Forms of Switching Functions

A nonexhaustive procedure for obtaining minimal Reed-Muller canonical (RMC) forms of switching functions is presented. This procedure is a modification of a procedure presented earlier in the literature and enables derivation of an upper bound on the number of RMC forms to be derived to choose a minimal one. It is shown that the task of obtaining minimal RMC forms is simplified in the case of symmetric functions and self-dual functions.

The viral coat protein is regulated by HSP70 and HSP40 in Potato virus A infection

Plus-stranded (plus) RNA viruses multiply within a cellular environment as tightly integrated units and rely on the genetic information carried within their genomes for multiplication and, hence, persistence. The minimal genomes of plus RNA viruses are unable to encode the molecular machineries that are required for virus multiplication. This sets requisites for the virus, which must form compatible interactions with host components during multiplication to successfully utilize primary metabolites as building blocks or metabolic energy, and to divert the protein synthesis machinery for production of viral proteins. In fact, the emerging picture of a virus-infected cell displays tight integration with the virus, from simple host and virus protein interactions through to major changes in the physiological state of the host cell. This study set out to develop a method for the identification of host components, mainly host proteins, that interact with proteins of Potato virus A (PVA; Potyvirus) during infection. This goal was approached by developing affinity-tag based methods for the purification of viral proteins complexed with associated host proteins from infected plants. Using this method, host membrane-associated viral ribonucleoprotein (RNP) complexes were obtained, and several host and viral proteins could be identified as components of these complexes. One of the host proteins identified using this strategy was a member of the heat shock protein 70 (HSP70) family, and this protein was chosen for further analysis. To enable the analysis of viral gene expression, a second method was developed based on Agrobacterium-mediated virus genome delivery into plant cells, and detection of virally expressed Renilla luciferase (RLUC) as a quantitative measure of viral gene expression. Using this method, it was observed that down-regulation of HSP70 caused a PVA coat protein (CP)-mediated defect associated with replication. Further experimentation suggested that CP can inhibit viral gene expression and that a distinct translational activity coupled to replication, referred to as replication-associated translation (RAT), exists. Unlike translation of replication-deficient viral RNA, RAT was dependent on HSP70 and its co-chaperone CPIP. HSP70 and CPIP together regulated CP turnover by promoting its modification by ubiquitin. Based on these results, an HSP70 and CPIP-driven mechanism that functions to regulate CP during viral RNA replication and/or translation is proposed, possibly to prevent premature particle assembly caused by CP association with viral RNA.

Beyond Gauss: Image-set matching on the Riemannian manifold of PDFs

State-of-the-art image-set matching techniques typically implicitly model each image-set with a Gaussian distribution. Here, we propose to go beyond these representations and model image-sets as probability distribution functions (PDFs) using kernel density estimators. To compare and match image-sets, we exploit Csiszar´ f-divergences, which bear strong connections to the geodesic distance defined on the space of PDFs, i.e., the statistical manifold. Furthermore, we introduce valid positive definite kernels on the statistical manifold, which let us make use of more powerful classification schemes to match image-sets. Finally, we introduce a supervised dimensionality reduction technique that learns a latent space where f-divergences reflect the class labels of the data. Our experiments on diverse problems, such as video-based face recognition and dynamic texture classification, evidence the benefits of our approach over the state-of-the-art image-set matching methods.

An adaptive drug delivery design using neural networks for effective treatment of infectious diseases: A simulation study

An adaptive drug delivery design is presented in this paper using neural networks for effective treatment of infectious diseases. The generic mathematical model used describes the coupled evolution of concentration of pathogens, plasma cells, antibodies and a numerical value that indicates the relative characteristic of a damaged organ due to the disease under the influence of external drugs. From a system theoretic point of view, the external drugs can be interpreted as control inputs, which can be designed based on control theoretic concepts. In this study, assuming a set of nominal parameters in the mathematical model, first a nonlinear controller (drug administration) is designed based on the principle of dynamic inversion. This nominal drug administration plan was found to be effective in curing "nominal model patients" (patients whose immunological dynamics conform to the mathematical model used for the control design exactly. However, it was found to be ineffective in curing "realistic model patients" (patients whose immunological dynamics may have off-nominal parameter values and possibly unwanted inputs) in general. Hence, to make the drug delivery dosage design more effective for realistic model patients, a model-following adaptive control design is carried out next by taking the help of neural networks, that are trained online. Simulation studies indicate that the adaptive controller proposed in this paper holds promise in killing the invading pathogens and healing the damaged organ even in the presence of parameter uncertainties and continued pathogen attack. Note that the computational requirements for computing the control are very minimal and all associated computations (including the training of neural networks) can be carried out online. However it assumes that the required diagnosis process can be carried out at a sufficient faster rate so that all the states are available for control computation.

Assessment of SET Logic Robustness Through Noise Margin Modeling

A compact model for noise margin (NM) of single-electron transistor (SET) logic is developed, which is a function of device capacitances and background charge (zeta). Noise margin is, then, used as a metric to evaluate the robustness of SET logic against background charge, temperature, and variation of SET gate and tunnel junction capacitances (CG and CT). It is shown that choosing alpha=CT/CG=1/3 maximizes the NM. An estimate of the maximum tolerable zeta is shown to be equal to plusmn0.03 e. Finally, the effect of mismatch in device parameters on the NM is studied through exhaustive simulations, which indicates that a isin [0.3, 0.4] provides maximum robustness. It is also observed that mismatch can have a significant impact on static power dissipation.

Electrical switching and in situ Raman scattering studies on the set-reset processes in Ge-Te-Si glass

Bulk Ge15Te83Si2 glass has been found to exhibit memory-type switching for 1 mA current with a threshold electric field of 7.3 kV/cm. The electrical set and reset processes have been achieved with triangular and rectangular pulses, respectively, of 1 mA amplitude. In situ Raman scattering studies indicate that the degree of disorder in Ge15Te83Si2 glass is reduced from off to set state. The local structure of the sample under reset condition is similar to that in the off state. The Raman results are consistent with the switching results which indicate that the Ge15Te83Si2 glass can be set and reset easily. (C) 2007 American Institute of Physics.

Modeling and Analysis of Noise Margin in SET Logic

In this paper the static noise margin for SET (single electron transistor) logic is defined and compact models for the noise margin are developed by making use of the MIB (Mahapatra-Ionescu-Banerjee) model. The variation of the noise margin with temperature and background charge is also studied. A chain of SET inverters is simulated to validate the definition of various logic levels (like VIH, VOH, etc.) and noise margin. Finally the noise immunity of SET logic is compared with current CMOS logic.

Signal set design for full-diversity low-decoding-complexity differential scaled-unitary STBCs

The problem of designing high rate, full diversity noncoherent space-time block codes (STBCs) with low encoding and decoding complexity is addressed. First, the notion of g-group encodable and g-group decodable linear STBCs is introduced. Then for a known class of rate-1 linear designs, an explicit construction of fully-diverse signal sets that lead to four-group encodable and four-group decodable differential scaled unitary STBCs for any power of two number of antennas is provided. Previous works on differential STBCs either sacrifice decoding complexity for higher rate or sacrifice rate for lower decoding complexity.